# Glassdoor Jobs & Reviews Scraper (`cliqtomedia/glassdoor-scraper`) Actor

Scrape Glassdoor jobs, company reviews, salaries, interviews and company profiles from 23 country sites. Research employers, track hiring and benchmark pay with full job descriptions in JSON, CSV or Excel.

- **URL**: https://apify.com/cliqtomedia/glassdoor-scraper.md
- **Developed by:** [Cliqto Media](https://apify.com/cliqtomedia) (community)
- **Categories:** Jobs, Business
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.25 / 1,000 jobs

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

Collect public Glassdoor jobs with full descriptions, company reviews, salaries, interviews and company profiles from 23 country sites. Research employers, track hiring and compare pay, then export JSON, CSV or Excel with no Glassdoor login.

Run the prefilled search (10 data analyst jobs in London) to test it: it costs $0.0049 on the Free plan, and our test run finished in about 5 seconds. This Actor is not affiliated with Glassdoor.

![Glassdoor Jobs & Reviews Scraper: jobs, reviews, salaries and company data from Glassdoor](https://api.apify.com/v2/key-value-stores/drh73nGNC6UHYcjrd/records/hero-20261102.png)

### Table of contents

- [What it does](#what-it-does)
- [How it works](#how-it-works)
- [Quick start](#quick-start)
- [Use cases](#use-cases)
- [Input](#input)
- [Output](#output)
- [Pricing](#pricing)
- [Limits](#limits)
- [API, export and integrations](#api-export-and-integrations)
- [Troubleshooting](#troubleshooting)
- [FAQ](#faq)
- [Related Actors](#related-actors)
- [Support](#support)

### What it does

The Actor reads public Glassdoor pages for 23 country sites and saves what it finds as Dataset rows. You choose one of 12 modes with the `mode` field:

| Mode | What you get |
| --- | --- |
| `jobs` | Job listings with full descriptions, pay when shown, apply link and employer ratings |
| `company` | Company profiles: ratings, size, industry, headquarters, awards, offices |
| `reviews` | Employee reviews with pros, cons, advice and star ratings |
| `salaries` | Salary titles of one company with percentiles and pay parts |
| `interviews` | Interview reports with outcome, difficulty and process text |
| `benefits` | Benefit reviews with rating and comment |
| `locations` | Public office addresses |
| `culture` | Culture and values ratings by group |
| `photos` | Photo links and captions (images are not downloaded) |
| `companySearch` | Companies found by name, with rating filters |
| `salarySearch` | Market salary data for a job title and place |
| `salaryReports` | Anonymous salary reports for a job title at a company |

Only public data is collected. The Actor does not log in, does not collect names of review authors and does not collect personal email addresses.

#### Good fit

- Track job openings for a role, city or employer, and see only new jobs on each run.
- Read what employees write about a company: reviews, interviews and benefits.
- Compare pay for a job title across companies or places.
- Build company lists by rating, review count or headquarters.

> **👉 [Try it now: open the input form](https://console.apify.com/actors/vhYvuITavD5kacL8L/input)**

### How it works

1. You pick a mode and give a search, a list of company links or names, or job IDs.
2. The Actor reads the public Glassdoor pages for that request, applies your filters and removes duplicates.
3. It saves rows to the Dataset and writes a run summary (`RUN_SUMMARY`) and company reports (`REPORTS`) to the Key-value store. The summary shows how many rows were saved and why the run stopped.

> **👉 [Try it now: open the input form](https://console.apify.com/actors/vhYvuITavD5kacL8L/input)**

### Quick start

[![Input form: (1) Data to collect, (2) Job or company name and Job location, (3) Country site, (4) Result limit](https://api.apify.com/v2/key-value-stores/drh73nGNC6UHYcjrd/records/quick-start-form-20261103.png)](https://console.apify.com/actors/vhYvuITavD5kacL8L/input)

1. Open the **Input** tab. In **Data to collect** (`mode`), keep **Jobs** (box 1 in the picture).
2. In **Job or company name** (`query`) type `data analyst`. In **Job location** (`location`) type `London` (box 2).
3. In **Country site** (`country`) choose `United Kingdom` (box 3).
4. Set **Result limit** (`maxItems`) to `10` (box 4). Keep it small for the first run.
5. Click **Start** at the bottom of the form.
6. When the run is done, open the **Output** tab. Pick a view in the view tabs (1), read the job title, company and rating columns (2) and the salary columns (3), and use **Export** (4) to download the data.

   [![Output table: (1) view tabs, (2) Title, Company and Rating columns, (3) salary columns, (4) Export button](https://api.apify.com/v2/key-value-stores/drh73nGNC6UHYcjrd/records/output-table-20261102.png)](https://api.apify.com/v2/key-value-stores/drh73nGNC6UHYcjrd/records/output-table-20261102.png)

Expected result: 10 job rows with a full description, employer ratings and a link to the Glassdoor listing. The run summary says `MAX_ITEMS`, which means your limit was reached.

When you change the mode, change or clear the prefilled **Job or company name**, **Job location** and **Result limit** too. In company modes the query is used as a company name.

> **👉 [Try it now: open the input form](https://console.apify.com/actors/vhYvuITavD5kacL8L/input)**

### Use cases

| Buyer job | Input path | Output entity | Key fields | Next integration |
| --- | --- | --- | --- | --- |
| Find data analyst jobs in a city | `mode` `jobs`, `query`, `location`, `country` | Job | `title`, `company`, `location`, `salaryMin`, `salaryMax`, `url` | Dataset export to CSV or Excel |
| Monitor new jobs every day | `monitor` or `onlyNew`, `stateName`, an Apify schedule | Job | `jobId`, `jobStatus`, `postedDateEstimate`, `url` | Apify schedule and webhook |
| Read employee feedback for a company | `mode` `reviews`, `companyUrls` | Review | `title`, `pros`, `cons`, `ratingOverall`, `reviewDate` | Dataset export, API |
| Find pay for a role | `mode` `salaries`, `salarySearch` or `salaryReports` | Salary | `title`, `basePayP50`, `totalPayP50`, `currency`, `period` | Spreadsheet |
| Build a company list | `mode` `companySearch`, `minCompanyRating`, `minReviewCount` | Company | `company`, `rating`, `reviewCount`, `size`, `headquarters` | Dataset export |

> **👉 [Try it now: open the input form](https://console.apify.com/actors/vhYvuITavD5kacL8L/input)**

### Input

All fields are optional. The form has no required field, and every field has a safe default.

- **Empty input** runs `mode` `jobs`, `country` `UK` and searches `data analyst` in `London`, for 10 jobs.
- **Runtime default and form prefill are different.** The form prefills `query` `data analyst`, `location` `London`, `country` `UK` and `maxItems` `10`. A field you leave out uses its runtime default from the tables below.
- **Maximum items when you leave it out:** 10 for `jobs`, `company`, `culture`, `companySearch` and `salarySearch`. For `reviews`, `salaries`, `salaryReports`, `interviews`, `benefits`, `locations` and `photos` the default is 20,000.
- **Lists** (arrays) take one item per line in the form, or a JSON array. Duplicates are removed. Each company ID is collected once.
- **Field names** are exact. `keywords` is an alias for `query`, and `limit` is an alias for `maxItems`. The main field wins when both are set.
- **Dates** use `YYYY-MM-DD`.
- Some modes need a target. Company modes need `companyUrls`, `companyNames`, `employerIds` or `query` (a company name). `salaryReports` needs `salaryJobTitle`. If a target is missing the run fails at the start with a clear code (see Troubleshooting).

#### Input fields

##### Run basics (all modes)

| Field | Type | Default / prefill | Allowed values | Effect | Recommendation |
| --- | --- | --- | --- | --- | --- |
| `mode` | string | Default `jobs` | `jobs`, `company`, `reviews`, `salaries`, `interviews`, `benefits`, `locations`, `culture`, `photos`, `companySearch`, `salarySearch`, `salaryReports` | Chooses what to collect. | Start with `jobs`. |
| `query` | string | Prefill `data analyst`. No other default, except in `jobs` mode with no other target, which uses `data analyst`. | Any text | Job title or skill. In company modes it is the company name. Job search URLs win over `query`. | Clear the prefill when you switch mode. |
| `keywords` | string | None | Any text | Alias for `query`. `query` wins. | Use `query`. |
| `location` | string | Prefill `London`. Runtime default `London` only when `query` is `data analyst`. | City, state or country | Place for job and salary search. An unknown place returns no results with `LOCATION_NOT_FOUND`. | Use a city name the Glassdoor site knows. |
| `country` | string | Default `UK` | `UK`, `US`, `CA`, `DE`, `FR`, `AU`, `AR`, `AT`, `BR`, `HK`, `IE`, `IN`, `IT`, `MX`, `NL`, `NZ`, `SG`, `ES`, `BE`, `CH`, `BE_FR`, `CH_FR`, `CA_FR` | Glassdoor site for search and source links. Salary and benefit countries have their own fields. | Match it to your `location`. |
| `maxItems` | integer | Prefill `10`. Runtime default 10 or 20,000 (see above). | 1 or more | Stops after this many primary results. Jobs, profiles, company search and market salary use one total for the run. Reviews, salary titles and the other company sections use it for each company. | Keep it small for tests. |
| `limit` | integer | None | 1 or more | Alias for `maxItems`. `maxItems` wins. | Use `maxItems`. |
| `outputFormat` | string | Default `flat` | `flat`, `nested` | `flat` gives simple columns for Sheets and CSV. `nested` keeps objects such as `location` and `salaryEstimate`. | Use `flat` for spreadsheets. |
| `proxyMode` | string | Default `auto` | `auto`, `direct`, `datacenter`, `unblocker` | Chooses the connection route. `auto` starts direct and switches to other routes if Glassdoor blocks the request. `unblocker` uses a paid page fetch for every page. `direct` and `datacenter` never use the paid fetch. | Keep `auto`. Use `direct` to avoid paid page fetches. |
| `maxSourceRequests` | integer | None (no limit) | Whole number | Extra cap on page requests for the run. | Leave empty unless you need a hard cap. |
| `sourceDataLimitMB` | number | None (no limit) | Number above 0 | Extra cap on downloaded data, in decimal MB. | Leave empty unless you need a hard cap. |

##### Jobs: what to search

| Field | Type | Default / prefill | Allowed values | Effect | Recommendation |
| --- | --- | --- | --- | --- | --- |
| `searchUrls` | array of strings | `[]` | Glassdoor job search URLs | Searches from these URLs. They win over `query`. Your input filters win over URL filters. | Several narrow searches reach more jobs than one broad search. |
| `queries` | array of strings | `[]` | Up to 300 characters each | Several job titles. They share `maxItems`. | Use with `locations`. Each extra search adds source work. |
| `locations` | array of strings | `[]` | Up to 300 characters each | Searches each place. Results share `maxItems`. Empty means use `location`. | Pair with `queries`. |
| `maxResultsPerSearch` | integer | None | 1 or more | Stops each query and place pair after this many saved results. `maxItems` is the total. | Use it so one search does not use the whole total. |
| `jobIds` | array of strings | `[]` | 1 to 16 digits each | Fetches these job IDs directly, with no keyword search. Duplicate and excluded IDs are skipped. | Use to refresh known jobs. |
| `companyName` | string | None | Any text | Finds this company and searches only its jobs. No default job title is added. | Use for one employer. |
| `employerIds` | array of integers | `[]` | Numeric employer IDs, for example `1651` | Works for jobs of one employer and for company modes. | Use when you know the ID. |
| `excludeJobIds` | array of strings | `[]` | 1 to 16 digits each. Up to 1,000 IDs. | Does not return or charge these jobs. | Use with results you already have. |
| `includeDetails` | boolean | Default `true` | `true`, `false` | `true` adds the full description and employer details. `false` keeps search results only. | Keep `true` unless you only need titles. |
| `descriptionFormat` | string | Default `text` | `text`, `html`, `markdown` | Format of the full job description. | `text` for analysis. |
| `includeDescriptionHtml` | boolean | Default `false` | `true`, `false` | Also keeps the original HTML description. | Turn on only if you need HTML. |

##### Jobs: filters sent to Glassdoor

| Field | Type | Default / prefill | Allowed values | Effect | Recommendation |
| --- | --- | --- | --- | --- | --- |
| `daysOld` | integer | None (source default) | 1 to 365 | Keeps jobs posted within this many days. | `7` for a weekly check. |
| `easyApply` | boolean | `false` | `true`, `false` | Only jobs marked Easy Apply. | Optional. |
| `remoteWorkType` | boolean | `false` | `true`, `false` | Asks Glassdoor for remote jobs. Hybrid jobs can appear. Check `remoteType` in the output. | For strict remote use `workplaceType`. |
| `minRating` | number | None | 0 to 5 | Employers with a rating at least this high. Jobs without a rating keep `null`. Also used in company search. | Optional. |
| `employerSizes` | string | None (all sizes) | `1`, `2`, `3`, `4`, `5` | Glassdoor company size group. | Optional. |
| `radius` | string | None | `0`, `5`, `10`, `15`, `25`, `50`, `100` (miles) | Distance around the location. Glassdoor may adjust it by market. | Use miles, or `radiusKm`. |
| `radiusKm` | string | None | `0`, `10`, `20`, `30`, `50`, `100`, `200` (km) | Distance in kilometres, converted to miles. | Use for km markets. |
| `sortBy` | string | `relevant_desc` | `relevant_desc`, `date_desc` | Most relevant or most recent first. | `date_desc` for monitoring. |
| `urlParam` | array of objects | `[]` | Objects `{ "key": ..., "value": ... }`. Keys: `industryNId`, `jobType`, `seniorityType`, `minSalary`, `maxSalary`, `sgocId`, `includeNoSalaryJob`, `employerId`, `companyId`. Value: up to 100 characters of letters, digits, `,`, `.`, `_`, `-`. | Adds raw Glassdoor filters. Other names are rejected. | For advanced users. Prefer the named fields. |
| `employmentType` | array of strings | `[]` | `Full-time`, `Part-time`, `Contract`, `Internship`, `Temporary`, `Apprenticeship`, `Entry level`, `Permanent`, `Fixed Term Contract` | Several types run as separate searches. Duplicates are removed. | Pick the types you need. |
| `seniority` | array of strings | `[]` | `Internship`, `Entry level`, `Mid-senior`, `Director`, `Executive` | Glassdoor seniority filter. | Optional. |
| `industry` | array of strings | `[]` | 20 industry names, for example `Information Technology`, `Healthcare`, `Financial Services` | Glassdoor industry filter. The form lists all names. | Optional. |
| `jobFunction` | array of strings | `[]` | 23 job functions, for example `Engineering`, `Sales`, `Marketing` | Glassdoor job function filter. The form lists all names. | Optional. |
| `minSalary` | number | None | 0 or more | Minimum yearly pay in the market currency. No currency conversion. | Pair with `includeJobsWithoutSalary` `false`. |
| `maxSalary` | number | None | 0 or more | Maximum yearly pay. The run fails if it is below `minSalary`. | Optional. |
| `includeJobsWithoutSalary` | boolean | `true` | `true`, `false` | `false` asks for jobs with a public salary only. | Turn off for pay research. |

##### Jobs: filters applied after the search

These filters run on the saved job data. Jobs that fail a filter are counted as filtered and are not charged. Using any of them adds source work (see Pricing).

| Field | Type | Default / prefill | Allowed values | Effect | Recommendation |
| --- | --- | --- | --- | --- | --- |
| `matchTitle` | string | `off` | `off`, `loose`, `strict` | `loose` keeps titles with any search word. `strict` keeps titles with every word. | `strict` for exact roles. |
| `excludeCompanies` | array of strings | `[]` | Phrases, up to 300 characters | Removes employers that match a phrase. Word boundaries apply. | Remove staffing firms. |
| `includeKeywords` | array of strings | `[]` | Phrases | Keeps jobs with at least one phrase in the title or description. | Needs `includeDetails` `true` for description matches. |
| `excludeKeywords` | array of strings | `[]` | Phrases | Removes jobs with any phrase in the title or description. | Optional. |
| `includeTitleKeywords` | array of strings | `[]` | Phrases | Keeps jobs with at least one phrase in the title. | Optional. |
| `excludeTitleKeywords` | array of strings | `[]` | Phrases | Removes jobs with any phrase in the title. | Optional. |
| `locationIncludes` | array of strings | `[]` | Phrases | Keeps jobs whose location contains a phrase. | Optional. |
| `workplaceType` | string | `any` | `any`, `remote`, `hybrid`, `onsite` | Keeps jobs with a matching source label. Jobs without a label are not guessed. | Use for strict remote. |
| `postedAfter` | string | None | `YYYY-MM-DD` | Keeps jobs with an estimated posting day on or after this date. | Use `daysOld` for simple cases. |
| `postedBefore` | string | None | `YYYY-MM-DD` | Keeps jobs with an estimated posting day on or before this date. Jobs without an estimate are removed. | Optional. |
| `excludeSponsored` | boolean | `false` | `true`, `false` | Removes jobs marked as sponsored. Unknown sponsorship is kept. | Optional. |

##### Jobs: extras and tracking

| Field | Type | Default / prefill | Allowed values | Effect | Recommendation |
| --- | --- | --- | --- | --- | --- |
| `resumeKeywords` | array of objects | `[]` | `{ "keyword": "Python", "aliases": ["py"] }` | Scores each job against your skills and adds matched and missing skills. It does not remove jobs. | Keep the list short. |
| `deepSearch` | boolean | `false` | `true`, `false` | Also searches related titles and `expandKeywords`, then removes duplicates. | Use to widen a search. |
| `expandKeywords` | array of strings | `[]` | Phrases | Extra job titles for `deepSearch`. | Use with `deepSearch`. |
| `includeCompanyDetails` | boolean | `false` | `true`, `false` | Adds the full public company profile to each job: mission, CEO, counts, links, awards. | Optional. |
| `salaryBenchmark` | boolean | `false` | `true`, `false` | Adds public salary percentiles for the job title and place, with source place and confidence. | Optional. |
| `monitor` | boolean | `false` | `true`, `false` | Compares jobs with a private saved history. Needs `stateName`. | Use with an Apify schedule. |
| `onlyNew` | boolean | `false` | `true`, `false` | Returns only job IDs not yet in the history. Turns monitoring on. Unchanged jobs are free. | Good for daily runs. |
| `checkClosed` | boolean | `false` | `true`, `false` | Checks saved jobs that are missing from this search. A job is `closed` only when Glassdoor shows an explicit expiry. Ignored with `onlyNew`. | Use for a full history check. |
| `stateName` | string | None | 3 to 41 lowercase letters, digits or hyphens, starting with a letter and not ending with a hyphen | Name of one search history. Names of 40 or 41 characters are cut to 30 characters plus `-` and 8 hex characters in the storage name. Use the same search settings on every run. | One writer per name. |

##### Company profiles and company sections

Used in `company` mode, and in the other company modes to choose the company.

| Field | Type | Default / prefill | Allowed values | Effect | Recommendation |
| --- | --- | --- | --- | --- | --- |
| `companyUrls` | array of strings | `[]` | Public Glassdoor company links (overview, reviews, salaries and other tabs), or a custom company page | Chooses companies. Each company ID is collected once. | The safest way to pick a company. |
| `companyNames` | array of strings | `[]` | Company names | Finds companies by name. Each completed lookup costs extra, also when nothing matches. More than one name adds source work. | Check company IDs, because the closest match is used. |
| `includeCompanyExtras` | boolean | `true` | `true`, `false` | Adds photos, review distributions, review locations, demographic ratings, employer content and updates inside the profile. | Turn off for a smaller profile. |
| `maxProfilePhotos` | integer | `100` | 0 or more | Photos inside each profile. Separate photo rows use `maxPhotos`. | Lower it for small rows. |
| `maxProfileUpdates` | integer | `400` | 0 or more | Company updates inside each profile. | Lower it for small rows. |
| `includeDemographicRatings` | boolean | `false` | `true`, `false` | Adds public aggregate demographic ratings. No individual data. | Optional. |
| `enrichEmails` | boolean | `false` | `true`, `false` | Reads the company website (up to five pages) for public role addresses such as info@ or sales@. Personal addresses are excluded. Results vary by site. | Optional. |
| `qualifyByPayment` | boolean | `false` | `true`, `false` | Looks for public payment or shop scripts on the company website and returns processor names. A missing signal means unknown. | Optional. |
| `includeSalaries` | boolean | `false` | `true`, `false` | Also saves salary-title rows with each profile. Salary rows are charged separately. | Use `maxSalaryTitles` to cap it. |
| `includeReviews` | boolean | `false` | `true`, `false` | Also saves review rows and review insights. Review rows are charged separately. | Use `maxReviews` to cap it. |
| `includeInterviews` | boolean | `false` | `true`, `false` | Also saves interview rows. | Use `maxInterviews`. |
| `includeBenefits` | boolean | `false` | `true`, `false` | Also saves benefit review rows. | Use `maxBenefits`. |
| `includePhotos` | boolean | `false` | `true`, `false` | Also saves photo rows (links and captions). | Use `maxPhotos`. |
| `includeLocations` | boolean | `false` | `true`, `false` | Also saves office address rows. | Use `maxLocations`. |
| `includeJobs` | boolean | `false` | `true`, `false` | Also saves jobs of each company. Job rows are charged as jobs. | Use `maxJobs`. |
| `maxJobs` | integer | `20000` | Whole number | Jobs per company when `includeJobs` is on. | Set a lower number for a first run. |
| `jobQuery` | string | None | Any text | Job title filter inside each company. Empty means all its jobs. | Optional. |

##### Company search filters

Used by `companySearch` and the company filters.

| Field | Type | Default / prefill | Allowed values | Effect | Recommendation |
| --- | --- | --- | --- | --- | --- |
| `minCompanyRating` | number | None | 0 to 5 | Minimum company rating on the rating type below. | Optional. |
| `minReviewCount` | integer | `0` | 0 or more | Minimum number of public company reviews. | Use to skip tiny companies. |
| `companyRatingType` | string | `overallRating` | `overallRating`, `careerOpportunitiesRating`, `compensationAndBenefitsRating`, `cultureAndValuesRating`, `diversityAndInclusionRating`, `seniorManagementRating`, `workLifeBalanceRating` | Rating used for company search and company filters. | Optional. |
| `companyHeadquarters` | string | None | Any text | Keeps profiles whose headquarters contain this text. | Optional. |

##### Reviews

Used by `reviews` mode, and by `includeReviews` in `company` mode. Most filters add source work (see Pricing).

| Field | Type | Default / prefill | Allowed values | Effect | Recommendation |
| --- | --- | --- | --- | --- | --- |
| `maxReviews` | integer | `20000` | 1 or more | Reviews for each company when `includeReviews` is on. `reviews` mode uses `maxItems`. | Lower it to control cost. |
| `reviewSort` | string | `DATE` | `DATE`, `RELEVANCE_V2`, `RATING`, `RATING_ASC` | Review order. Monthly averages and repeated phrases cover the reviews collected in this run. | `DATE` for newest first. |
| `reviewLanguage` | string | `eng` | Three-letter code, for example `eng`, `fra`, `deu` | Language filter. Reviews stay in their source language. | Set it to your market. |
| `reviewLanguages` | array of strings | `[]` | Three-letter codes | Collects these languages. Empty uses `reviewLanguage`. Date sorting merges languages by date. | Optional. |
| `includeAllReviews` | boolean | `false` | `true`, `false` | Collects all seven languages of the Glassdoor review filter. One shared limit. Duplicates are removed. | Optional. |
| `reviewsStartDate` | string | None | `YYYY-MM-DD` | Keeps reviews on or after this date. Date sorting can stop early. | Use for new reviews only. |
| `reviewsEndDate` | string | None | `YYYY-MM-DD` | Keeps reviews on or before this date. | Optional. |
| `reviewIncludes` | array of strings | `[]` | Phrases | Keeps reviews with at least one phrase in the field set by `reviewSearchField`. | Optional. |
| `reviewExcludes` | array of strings | `[]` | Phrases | Removes reviews with any phrase in that field. | Optional. |
| `reviewSearchField` | string | `cons` | `cons`, `pros`, `title`, `all` | Which review text the phrase filters read. `all` includes title, pros, cons and advice. | Set it when you use phrase filters. |
| `onlyCurrentEmployees` | boolean | `false` | `true`, `false` | Keeps reviews marked as written by current employees. | Optional. |
| `reviewMinRating` | number | None | 0 to 5 | Overall rating at least this high. | Optional. |
| `reviewMaxRating` | number | None | 0 to 5 | Overall rating at most this high. The run fails if it is below `reviewMinRating`. | Optional. |
| `reviewStars` | array of integers | `[]` | Whole numbers 1 to 5 | Keeps reviews with one of these exact star ratings. | Optional. |
| `reviewJobTitle` | string | None | Any text | Keeps reviews whose job title contains this text. | Optional. |
| `reviewLocation` | string | None | Any text | Keeps reviews whose location contains this text. | Optional. |
| `reviewEmploymentStatuses` | array of strings | `[]` | Source labels such as `REGULAR`. Case is ignored. | Keeps these employment status labels. | Optional. |
| `minReviewWords` | integer | `0` | 0 or more | Minimum words across title, pros, cons and advice. | Use to skip very short reviews. |
| `painPointAnalysis` | boolean | `false` | `true`, `false` | Adds a rule-based report with complaint themes, strengths, possible attrition signals and the review IDs behind them. It is not an AI report and not a prediction. | Optional. |

##### Salaries

Used by `salaries`, `salarySearch` and `salaryReports`. In `salarySearch` the search text comes from `query` or `queries`, and the place from `location` or `locations`.

| Field | Type | Default / prefill | Allowed values | Effect | Recommendation |
| --- | --- | --- | --- | --- | --- |
| `maxSalaryTitles` | integer | `20000` | 1 or more | Salary titles for each company when `includeSalaries` is on. `salaries` mode uses `maxItems`. | Lower it to control cost. |
| `salaryCountryId` | integer | `1` | Glassdoor country ID: `1` United States, `2` United Kingdom, `3` Canada | Country for company salary tables. | Set it for non-US companies. |
| `benefitsCountryId` | integer | `1` | Same IDs as above | Country for benefit reviews. | Set it for non-US companies. |
| `includeAllSalaries` | boolean | `false` | `true`, `false` | Collects salary tables for every country Glassdoor lists, within `maxItems`. Each row names its country. | Adds source work. |
| `payPeriod` | string | `ANNUAL` | `ANNUAL`, `MONTHLY`, `HOURLY` | Pay period for company salary tables. Glassdoor converts available estimates. | `ANNUAL` for comparison. |
| `salaryJobTitle` | string | None | Any text, for example `Software Engineer` | Job title for anonymous salary reports. Required for `salaryReports`. | Use a common title. |
| `yearsOfExperience` | string | `ALL` | `ALL`, `LESS_THAN_ONE`, `ONE_TO_THREE`, `FOUR_TO_SIX`, `SEVEN_TO_NINE`, `TEN_TO_FOURTEEN`, `FIFTEEN_PLUS` | Experience filter for anonymous salary reports. Company salary tables always cover all years. | Optional. |

##### Interviews, benefits, offices and photos

| Field | Type | Default / prefill | Allowed values | Effect | Recommendation |
| --- | --- | --- | --- | --- | --- |
| `maxInterviews` | integer | `20000` | 1 or more | Interviews for each company when `includeInterviews` is on. | Lower it to control cost. |
| `interviewSort` | string | `DATE` | `DATE`, `RELEVANCE`, `DIFFICULTY`, `DIFFICULTY_ASC` | Interview order. | `DATE` for newest. |
| `interviewJobTitle` | string | None | Any text | Keeps interviews for this job title. | Optional. |
| `interviewOutcome` | array of strings | `[]` | `ACCEPT_OFFER`, `DECLINE_OFFER`, `NO_OFFER` | Keeps these outcomes. | Optional. |
| `interviewExperience` | array of strings | `[]` | `POSITIVE`, `NEUTRAL`, `NEGATIVE` | Keeps these experiences. | Optional. |
| `interviewDifficulty` | array of strings | `[]` | `VERY_EASY`, `EASY`, `AVERAGE`, `DIFFICULT`, `VERY_DIFFICULT` | Keeps these difficulty labels. Empty keeps all. | Optional. |
| `interviewsStartDate` | string | None | `YYYY-MM-DD` | Keeps interviews on or after this date. | Optional. |
| `maxBenefits` | integer | `20000` | 1 or more | Benefit reviews for each company when `includeBenefits` is on. | Lower it to control cost. |
| `benefitsStartDate` | string | None | `YYYY-MM-DD` | Keeps benefit reviews on or after this date. Source dates have day precision. | Optional. |
| `maxPhotos` | integer | `20000` | 1 or more | Photo rows for each company. | Lower it to control cost. |
| `maxLocations` | integer | `20000` | 1 or more | Office rows for each company. | Lower it to control cost. |

#### Interacting settings

| When | Input A | Input B | Effective behavior | Example | Cost/result effect |
| --- | --- | --- | --- | --- | --- |
| Both a search URL and a query are set | `searchUrls` | `query` | The URL wins. | A job search link and `data analyst` | Same as the URL search. |
| Both a URL filter and an input filter are set | `searchUrls` | `daysOld`, `easyApply` and other filters | The input filter wins. | URL says 30 days, input says `daysOld` 7 | Fewer rows. |
| Both `maxItems` and `limit` are set | `maxItems` | `limit` | `maxItems` wins. | `maxItems` 10, `limit` 50 | 10 rows. |
| Both `query` and `keywords` are set | `query` | `keywords` | `query` wins. | | |
| Several queries or places | `queries`, `locations` | `maxItems`, `maxResultsPerSearch` | All searches share `maxItems`. `maxResultsPerSearch` caps each pair. | 3 queries, `maxItems` 30 | Source work is charged. |
| Monitoring | `monitor`, `onlyNew`, `checkClosed` | `stateName` | Any of the three turns monitoring on and needs `stateName`. `checkClosed` is ignored with `onlyNew`. | `onlyNew` `true`, `stateName` `london-data-analyst` | Source work is charged. Unchanged jobs are free. |
| Changed filters on the same history | `stateName` | Any search or filter field | The run stops with `STATE_SCOPE_MISMATCH`. | Change `location` and keep the name | Use a new `stateName`. |
| Name already used by another Actor | `stateName` | A storage with this name made by another Actor in your account | The run still returns results. Warning `STATE_STORE_FALLBACK`: history is kept in the storage `glassdoor-scraper-<first 24 characters of stateName>-<8 hex characters>`. Warning `STATE_STORE_UNAVAILABLE`: jobs are compared only within this run. | `stateName` `london-data-analyst` used by another Actor | Use a new `stateName`. |
| Company options in jobs mode | `mode` `jobs` | `companyUrls`, `companyNames` | Rejected. Use `companyName` or `employerIds` for jobs of one employer. | | Run fails at the start. |
| Search URLs in company modes | `mode` other than `jobs` | `searchUrls` | Rejected. | | Run fails at the start. |
| Company section limits | `includeReviews` and others | `maxReviews` and others | A section is saved only when its include switch is on. The max field caps it per company. | `includeReviews` `true`, `maxReviews` 50 | Review rows are charged. |
| Paid page fetch | `proxyMode` | Glassdoor blocking | `auto` can switch to the paid page fetch if other routes are blocked. `direct` never does. | | $0.012 per successful page on the Free plan. |

#### Input examples

##### Find new data analyst jobs in London

```json
{
  "mode": "jobs",
  "query": "data analyst",
  "location": "London",
  "country": "UK",
  "maxItems": 10
}
```

Expected behavior: searches the UK Glassdoor site and saves up to 10 unique jobs with full descriptions.
Expected output: job rows with `title`, `company`, `location`, `salaryMin`, `salaryMax`, `url`.
Limit or cost note: $0.0049 on the Free plan. No source work fee.

##### Read the newest reviews of one company

```json
{
  "mode": "reviews",
  "companyUrls": ["https://www.glassdoor.com/Overview/Working-at-Microsoft-EI_IE1651.11,20.htm"],
  "country": "US",
  "maxItems": 100,
  "reviewSort": "DATE"
}
```

Expected behavior: saves up to 100 reviews of that company, newest first.
Expected output: review rows with `title`, `pros`, `cons`, `ratingOverall`, `reviewDate`.
Limit or cost note: $0.0058 on the Free plan for 100 reviews ($0.0013 start plus $0.0045 for reviews).

##### Get salary titles of one company

```json
{
  "mode": "salaries",
  "companyUrls": ["https://www.glassdoor.com/Overview/Working-at-Microsoft-EI_IE1651.11,20.htm"],
  "country": "US",
  "salaryCountryId": 1,
  "payPeriod": "ANNUAL",
  "maxItems": 3
}
```

Expected behavior: saves 3 salary titles with percentiles and pay parts.
Expected output: salary rows with `title`, `salaryCount`, `basePayP50`, `totalPayP50`, `currency`.
Limit or cost note: $0.0094 on the Free plan. Salary titles cost more than other rows.

##### Check only new jobs each day

```json
{
  "mode": "jobs",
  "query": "data analyst",
  "location": "London",
  "country": "UK",
  "maxItems": 50,
  "sortBy": "date_desc",
  "onlyNew": true,
  "stateName": "london-data-analyst"
}
```

Expected behavior: the first run saves the jobs it finds and remembers their IDs. Later runs with the same settings return only new IDs. A repeat run with no new jobs ends with `NO_NEW_RESULTS`.
Expected output: job rows with `jobId`, `jobStatus`, `url`.
Limit or cost note: source work is charged for monitoring. Keep one run at a time for each `stateName`.

> **👉 [Try it now: open the input form](https://console.apify.com/actors/vhYvuITavD5kacL8L/input)**

### Output

Rows are saved in the Dataset. Every row has `entityType` (`job`, `company`, `review`, `salary`, `salaryReport`, `interview`, `benefit`, `location`, `culture` or `photo`), `status`, `source`, `sourceUrl` and `fetchedAt`. Missing source values stay `null`. The Actor does not invent values.

The Console Dataset has these views:

| View title | Shows |
| --- | --- |
| Jobs, companies, reviews and salaries | Overview table of jobs and companies |
| Reviews | Review text and ratings |
| Salaries | Salary titles with percentiles |
| Interviews | Interview reports |
| Benefit reviews | Benefit ratings and comments |
| Office locations | Office addresses |
| Culture ratings | Culture ratings by group |
| Photos | Photo links and captions |
| Anonymous salary reports | Anonymous pay ranges |

The Output tab also links the run summary, the company comparison, review insights and company reports. These are records in the Key-value store (`RUN_SUMMARY` and `REPORTS`). In the other modes `REPORTS` only says that the run made no company reports.

#### Output fields

With `outputFormat` `flat` (the default) all values are simple columns. Lists and objects such as awards or counts are saved as JSON text in columns that end in `Json`. With `nested`, location and pay are objects (`location.name`, `salaryEstimate.min`).

##### Job fields

| Field | Type | Can be null? | Example | Meaning |
| --- | --- | --- | --- | --- |
| `entityType` | string | no | `job` | Row type. |
| `status` | string | no | `complete` | Row status. Missing source fields stay empty. |
| `jobId` | string | no | `1010302039988` | Glassdoor job ID. |
| `title` | string | no | `Interim Compliance Data and System Analyst` | Job title. |
| `company` | string | yes | `RHP` | Employer name. |
| `companyId` | integer | yes | `765675` | Glassdoor employer ID. |
| `rating` | number | yes | `4.5` | Employer overall rating, 0 to 5. |
| `location` | string | yes | `Teddington, South West England, England` | Job location. |
| `url` | string | no | `https://www.glassdoor.co.uk/job-listing/j?jl=1010302039988` | Public job page. |
| `seoUrl` | string | yes | `https://www.glassdoor.co.uk/job-listing/...` | Longer public job page link. |
| `ageInDays` | integer | yes | `10` | Age of the listing in days. |
| `postedDateEstimate` | string | yes | `2026-10-22` | Posting day estimated from the listing age. |
| `postedAt` | string | yes | `null` | Exact posting time, when Glassdoor gives it. |
| `sourceDiscoverDate` | string | yes | `2026-10-21T00:00:00` | When Glassdoor first discovered the job. It is not the exact posting date. |
| `postedLabel` | string | yes | `Oct 21, 2026` | Date label shown by Glassdoor. |
| `jobStatus` | string | yes | `stillOpen` | `New`, `stillOpen` or `closed`. `closed` needs an explicit Glassdoor expiry. |
| `expired` | boolean | yes | `false` | Glassdoor expiry flag. |
| `sponsored` | boolean | yes | `false` | Marked as sponsored. |
| `easyApply` | boolean | yes | `false` | Easy Apply job. |
| `occupation` | string | yes | `systems analyst` | Glassdoor occupation label. |
| `occupationId` | integer | yes | `100136` | Glassdoor occupation ID. |
| `employmentType` | string | yes | `Full-time` | Employment type. |
| `remoteType` | string | yes | `null` | Remote or hybrid label, when Glassdoor gives one. |
| `remoteTypeSource` | string | yes | `null` | Where the remote label came from. |
| `seniority` | string | yes | `null` | Seniority label. |
| `senioritySource` | string | yes | `null` | Where the seniority label came from. |
| `description` | string | yes | `What we offer ...` | Full job description in the chosen format. `null` when `includeDetails` is off. |
| `descriptionFormat` | string | no | `text` | Format of `description`. |
| `descriptionSnippet` | string | yes | `You'll act as the lead administrator ...` | Short description from the search page. |
| `applyUrl` | string | yes | `/partner/jobListing.htm?...` | Apply link from Glassdoor. |
| `salaryMin` | number | yes | `47195` | Lowest pay shown. Check currency and period. |
| `salaryMax` | number | yes | `47195` | Highest pay shown. |
| `salaryMedian` | number | yes | `47195` | Median pay shown. |
| `salaryCurrency` | string | yes | `GBP` | Pay currency. No conversion. |
| `salaryPeriod` | string | yes | `null` | Pay period shown. |
| `salarySource` | string | yes | `EMPLOYER_PROVIDED` | Where the pay came from. |
| `salaryAnnualMin` | number | yes | `null` | Yearly estimate of the lowest pay. Hourly pay assumes 2,080 hours a year. |
| `salaryAnnualMax` | number | yes | `null` | Yearly estimate of the highest pay. |
| `salaryAnnualHours` | number | yes | `null` | Hours used for the yearly estimate. |
| `companySize` | string | yes | `201 to 500 Employees` | Employer size. |
| `companyIndustry` | string | yes | `Civic & Social Services` | Employer industry. |
| `companyHeadquarters` | string | yes | `Teddington, United Kingdom` | Employer headquarters. |
| `companyRevenue` | string | yes | `Unknown / Non-Applicable` | Employer revenue band. |
| `companyYearFounded` | integer | yes | `2000` | Year founded. |
| `companyWebsite` | string | yes | `rhp.example` | Employer website. |
| `companyType` | string | yes | `Nonprofit Organization` | Employer type. |
| `companyDescription` | string | yes | `RHP is an award-winning ...` | Employer description. |
| `overallRating` | number | yes | `4.5` | Employer overall rating. |
| `cultureAndValuesRating` | number | yes | `4.6` | Culture and values rating. |
| `compensationAndBenefitsRating` | number | yes | `4.8` | Pay and benefits rating. |
| `seniorManagementRating` | number | yes | `4.4` | Senior management rating. |
| `workLifeBalanceRating` | number | yes | `4.5` | Work-life balance rating. |
| `careerOpportunitiesRating` | number | yes | `4.5` | Career opportunities rating. |
| `diversityAndInclusionRating` | number | yes | `4.6` | Diversity and inclusion rating. |
| `recommendToFriendRating` | number | yes | `0.92` | Share who recommend the employer, 0 to 1. |
| `ceoRating` | number | yes | `0.98` | Share who approve the CEO, 0 to 1. |
| `businessOutlookRating` | number | yes | `0.93` | Share with a positive business outlook, 0 to 1. |
| `attributesJson` | string | yes | `["Flexible working benefit", ...]` | Skills and benefit tags as JSON text. |
| `source`, `sourceUrl` | string | no | `Glassdoor` | Source name and public source page. |
| `fetchedAt` | string | no | `2026-11-01T03:40:06.974Z` | Time the data was fetched, in UTC. |

Optional job fields appear only when you turn on the matching option: matched and missing skills and a score (`resumeKeywords`), salary percentiles with source place and confidence (`salaryBenchmark`), company profile data (`includeCompanyDetails`), website contact and payment markers (`enrichEmails`, `qualifyByPayment`).

##### Company profile fields

| Field | Type | Can be null? | Example | Meaning |
| --- | --- | --- | --- | --- |
| `entityType`, `status` | string | no | `company`, `complete` | Row type and status. |
| `companyId` | integer | no | `1651` | Glassdoor employer ID. |
| `company` | string | no | `Microsoft` | Company name. |
| `rating`, `overallRating` | number | yes | `3.9` | Overall rating, 0 to 5. |
| `cultureAndValuesRating`, `compensationAndBenefitsRating`, `seniorManagementRating`, `workLifeBalanceRating`, `careerOpportunitiesRating`, `diversityAndInclusionRating` | number | yes | `3.8` | Ratings by topic, 0 to 5. |
| `recommendPercent`, `ceoApprovalPercent` | number | yes | `74`, `73` | Share who recommend the company and approve the CEO, 0 to 100. |
| `recommendToFriendRating`, `ceoRating`, `businessOutlookRating` | number | yes | `0.74` | The same shares as 0 to 1, plus business outlook. |
| `reviewCount` | integer | yes | `69878` | Public review count. |
| `size`, `industry`, `headquarters`, `revenue`, `companyType` | string | yes | `10000+ Employees` | Company facts. |
| `yearFounded` | integer | yes | `1975` | Year founded. |
| `description`, `mission` | string | yes | `To empower every person ...` | Company text. |
| `website`, `logoUrl` | string | yes | `https://company.example/` | Links. |
| `awardsJson`, `bestPlacesToWorkJson`, `bestLedCompaniesJson`, `ceoJson`, `countsJson`, `officeAddressesJson`, `subsidiariesJson`, `competitorsJson`, `linksJson` and similar `...Json` columns | string | yes | `[{"name":"..."}]` | Lists and objects saved as JSON text in `flat` output. |
| `url`, `sourceUrl`, `fetchedAt` | string | no | | Public page and fetch time. |

##### Review fields

| Field | Type | Can be null? | Example | Meaning |
| --- | --- | --- | --- | --- |
| `reviewId` | string | no | `106152257` | Glassdoor review ID. |
| `companyId`, `company` | integer, string | no | `1651`, `Microsoft` | Company of the review. |
| `title` | string | yes | `Toxic politics and constant layoffs ...` | Review headline. |
| `pros`, `cons`, `advice` | string | yes | `Politics, no WLB, ...` | Review text. `advice` is the advice to management. |
| `reviewDate` | string | yes | `2026-10-29T22:10:28.997` | Review date. |
| `jobTitle`, `location` | string | yes | `Data Scientist` | Job title and place given by the author. |
| `isCurrentEmployee` | boolean | yes | `true` | Author is a current employee. |
| `employmentStatus` | string | yes | `REGULAR` | Employment status label. |
| `employmentLength`, `jobEndingYear`, `divisionName` | number, number, string | yes | `0` | Tenure, end year and division when given. |
| `ratingOverall` | number | yes | `3` | Overall stars, 1 to 5. |
| `ratingWorkLifeBalance`, `ratingCultureAndValues`, `ratingDiversityAndInclusion`, `ratingCareerOpportunities`, `ratingCompensationAndBenefits`, `ratingSeniorLeadership` | number | yes | `3` | Stars by topic. |
| `ratingRecommendToFriend`, `ratingCeo`, `ratingBusinessOutlook` | number | yes | `null` | Opinions the author gave, when given. |
| `language`, `requestedLanguage`, `originalLanguage` | string | yes | `eng` | Review language. |
| `prosOriginal`, `consOriginal`, `adviceOriginal`, `summaryOriginal`, `translationMethod` | string | yes | `null` | Original text and translation method, when Glassdoor translated the review. |
| `employerResponsesJson` | string | yes | `[]` | Company replies as JSON text. |
| `helpfulCount`, `unhelpfulCount` | integer | yes | `0` | Votes. |
| `featured` | boolean | yes | `false` | Featured review. |
| `sourceUrl`, `fetchedAt` | string | no | | Public page and fetch time. |

No names of review authors or contact fields are collected.

##### Salary fields (`salaries` and `salarySearch`)

| Field | Type | Can be null? | Example | Meaning |
| --- | --- | --- | --- | --- |
| `companyId`, `company` | integer, string | yes | `1651`, `Microsoft` | Company. Market salary rows may have a different employer or none. |
| `title` | string | no | `Software Engineer` | Job title. |
| `salaryCount` | integer | yes | `44811` | Number of reports behind the figures. |
| `currency`, `period` | string | yes | `USD`, `ANNUAL` | Currency (not converted) and pay period. |
| `basePayMean`, `basePayP10`, `basePayP25`, `basePayP50`, `basePayP75`, `basePayP90` | number | yes | `174722.12` | Base pay: mean and percentiles. P50 is the source median. |
| `totalPayMean`, `totalPayP10` to `totalPayP90` | number | yes | `232934.71` | Total pay: mean and percentiles. |
| `cashBonus`, `stockBonus`, `profitSharing`, `salesCommission`, `tips`, `totalAdditionalPay` columns (`...Mean`, `...P10` to `...P90`) | number | yes | `23004.45` | Pay parts. Not every part has all percentiles. |
| `confidence` | string | yes | `CONFIDENT` | Glassdoor confidence label. |
| `salaryLocation`, `countryId` | string, integer | yes | `United States`, `1` | Actual place and country of the figures. It can be wider than the place you asked for. |
| `updatedAt` | string | yes | `2026-10-30T02:36:23.387` | Last source update. |
| `sourceUrl`, `fetchedAt` | string | no | | Public page and fetch time. |

`salarySearch` rows also have `query`, `companyJobCount` and `companyRating` and keep the searched place in `locationJson`.

##### Anonymous salary report fields (`salaryReports`)

| Field | Type | Can be null? | Example | Meaning |
| --- | --- | --- | --- | --- |
| `company` | string | no | `Microsoft` | Company. |
| `requestedTitle`, `title` | string | no | `Software Engineer` | Title you asked for and title of the report. |
| `matchedBy` | string | yes | `occupation` | How the report matched your title: exact title or occupation fallback. |
| `yearsOfExperience` | string | yes | `ONE_TO_THREE` | Experience band. |
| `annualBasePay`, `annualCashBonus`, `annualStockBonus`, `annualAdditionalPay` | number | yes | `null` | Pay parts, when shown. |
| `annualTotalPayMin`, `annualTotalPayMax` | number | yes | `116000`, `134000` | Total pay range shown for the report. |
| `currency`, `period` | string | yes | `USD`, `ANNUAL` | Currency and period. |
| `reviewDate` | string | yes | `2026-10-31` | Report date. |
| `city`, `state`, `metro`, `country` | string | yes | `Seattle, WA` | Place of the report. |
| `reportFingerprint` | string | no | `81fb8fa5...` | Stable ID used to remove duplicates. |

##### Interview, benefit, office, photo and culture fields

| Field | Type | Can be null? | Example | Meaning |
| --- | --- | --- | --- | --- |
| `interviewId`, `title`, `experience`, `outcome`, `difficulty` | string | `title` yes | `106168088`, `Intern`, `POSITIVE`, `DECLINE_OFFER`, `EASY` | Interview ID, job title, and the author's experience, outcome and difficulty. |
| `interviewDate`, `reviewDate` | string | yes | `2026-10-31T20:14:04.617` | Interview date (often empty) and report date. |
| `processDescription`, `negotiationDescription`, `advice` | string | yes | `Fair, 3 rounds ...` | Interview text. |
| `questionsJson`, `employerResponsesJson` | string | yes | `[]` | Questions and company replies as JSON text. |
| `benefitReviewId`, `rating`, `comment`, `isCurrentEmployee` | string, number, string, boolean | yes | `14639050`, `5` | Benefit review ID, stars, comment and employee status. |
| `location`, `state`, `metro`, `country` | string | yes | `Redmond, WA` | Place given for a benefit review or interview. |
| `locationId`, `address`, `city` | string | yes | | Office ID, address and city (`country` as above). |
| `photoId`, `caption`, `photoUrl` | string | yes | | Photo ID, caption and image link. The image is not downloaded. |
| `category`, `group`, `reviewCount` | string, string, integer | no | `gender`, `man`, `4419` | Culture group type, group name and number of reviews behind it. |
| `overallRating` and topic ratings | number | yes | `4` | Group ratings, 0 to 5. Recommend, CEO and outlook shares are 0 to 1. |
| `company`, `companyId`, `sourceUrl`, `fetchedAt` | | no | | Company, public page and fetch time. |

#### Output entities and surfaces

| Situation | Dataset/API/KVS/live view | Result shape | User action |
| --- | --- | --- | --- |
| Normal item | Dataset rows. `RUN_SUMMARY` says `status` `complete`. | One row per job, review, salary title and so on. | Open a view, export or call the API. |
| Valid search with no match | The Dataset is empty. The run is `SUCCEEDED`. `RUN_SUMMARY` has `status` `not_found` and `stopReason` `NO_RESULTS`. | No rows. | Check the query, place and filters. |
| Result limit reached | Dataset rows. `stopReason` `MAX_ITEMS`. | Rows up to your limit. | Raise `maxItems` if you need more. |
| Cost limit reached | The run is `SUCCEEDED`. `RUN_SUMMARY` has `status` `partial` and `stopReason` `CHARGE_LIMIT`. | Rows saved before the limit. | Raise the maximum cost per run. |
| Partial data | Dataset rows with `null` fields. `warnings` in `RUN_SUMMARY` name partial sections. | Rows with empty fields. | Read `warnings` and `coverageComplete`. |
| Technical failure | The run is `FAILED`. Rows saved before the failure stay in the Dataset. `RUN_SUMMARY` has `stopReason` with the code. | Rows saved so far. | Read the code in Troubleshooting. Retry later. |

#### Output example

```json
{
  "entityType": "job",
  "status": "complete",
  "jobId": "1010302039988",
  "title": "Interim Compliance Data and System Analyst",
  "company": "RHP",
  "companyId": 765675,
  "rating": 4.5,
  "location": "Teddington, South West England, England",
  "url": "https://www.glassdoor.co.uk/job-listing/j?jl=1010302039988",
  "ageInDays": 10,
  "postedDateEstimate": "2026-10-22",
  "postedAt": null,
  "sourceDiscoverDate": "2026-10-21T00:00:00",
  "jobStatus": "stillOpen",
  "employmentType": "Full-time",
  "remoteType": null,
  "description": "What we offer\n\nAlongside a competitive salary, we offer a great range of benefits including: ... (trimmed)",
  "salaryMin": 47195,
  "salaryMax": 47195,
  "salaryCurrency": "GBP",
  "salaryPeriod": null,
  "salarySource": "EMPLOYER_PROVIDED",
  "salaryAnnualMin": null,
  "companySize": "201 to 500 Employees",
  "companyIndustry": "Civic & Social Services",
  "overallRating": 4.5,
  "workLifeBalanceRating": 4.5,
  "recommendToFriendRating": 0.92,
  "source": "Glassdoor",
  "fetchedAt": "2026-11-01T03:40:06.974Z"
}
```

This example is trimmed. It shows one job from a prefill run (10 data analyst jobs, London, UK). A `null` value means Glassdoor did not give that value, for example `salaryPeriod` here. A field that does not apply to the mode is not in the row. Do not expect every field in every row, and do not expect every job to show a salary.

> **👉 [Try it now: open the input form](https://console.apify.com/actors/vhYvuITavD5kacL8L/input)**

### Pricing

#### Pricing unit

The Actor uses pay per event. You pay for the events below, and the platform usage of the run is paid by the Actor developer, not by you. The primary event is **Job**. The prices below are for the Free plan. Paid Apify plans get a discount: Bronze 10%, Silver 20%, and Gold, Platinum and Diamond 30%.

| Event | Charged for | Free | Bronze | Silver | Gold and above |
| --- | --- | ---: | ---: | ---: | ---: |
| Actor Start (`apify-actor-start`) | Once per run. Apify charges one start event per GB of memory; the Actor always runs with 256 MB, so it is always one start event. | $0.0013 | $0.00117 | $0.00104 | $0.00091 |
| Job (`job`) | One unique job | $0.00036 | $0.000324 | $0.000288 | $0.000252 |
| Review (`review`) | One review | $0.000045 | $0.0000405 | $0.000036 | $0.0000315 |
| Salary title (`salary`) | One company salary title or market salary result | $0.0027 | $0.00243 | $0.00216 | $0.00189 |
| Interview (`interview`) | One interview | $0.0027 | $0.00243 | $0.00216 | $0.00189 |
| Company profile (`company`) | One company profile | $0.0009 | $0.00081 | $0.00072 | $0.00063 |
| Company lookup (`company-search`) | One completed company-name lookup, also when nothing matches | $0.00005 | $0.000045 | $0.00004 | $0.000035 |
| Benefit review (`benefit`) | One benefit review | $0.00004 | $0.000036 | $0.000032 | $0.000028 |
| Office location (`location`) | One office | $0.00004 | $0.000036 | $0.000032 | $0.000028 |
| Culture rating (`culture`) | One culture rating row | $0.00004 | $0.000036 | $0.000032 | $0.000028 |
| Photo metadata (`photo`) | One photo row | $0.00004 | $0.000036 | $0.000032 | $0.000028 |
| Source work (`source-work`) | Only for the options below | $0.0003 | $0.00027 | $0.00024 | $0.00021 |
| Unblocker page (`public-page`) | One successful page, only with `proxyMode` `unblocker`, or when `auto` has to switch to it | $0.012 | $0.0108 | $0.0096 | $0.0084 |

**Source work.** One unit is 2 seconds of work on the source plus 100 kB of estimated request data. Fractions add up over the run and round up once at the end. An ordinary, non-empty run has no source work fee. Source work is charged when you use:

- monitoring (`monitor`, `onlyNew`, `checkClosed`);
- more than one company name, more than one query, place or search URL, or `deepSearch`;
- any job filter applied after the search (see the "Jobs: filters applied after the search" table);
- review filters, several review languages, `includeAllReviews`, or interview and benefit date, experience and difficulty filters;
- `minCompanyRating`, `minReviewCount` above 0, or `companyHeadquarters`;
- `includeCompanyDetails`, `salaryBenchmark`, `enrichEmails`, `qualifyByPayment`;
- `salaryReports` mode and `includeAllSalaries`;
- a search with no results (empty search).

**Unblocker pages.** With `proxyMode` `auto`, the Actor first tries cheaper routes. If Glassdoor blocks them, it can switch to a paid page fetch. You pay the `public-page` price only for pages that load with usable content. Failed HTTP responses and pages that hold only an error message are not charged. Use `proxyMode` `direct` if you never want this charge.

**Empty and failed runs.**

- A valid search with no results costs the start fee plus 1 source work unit: $0.0016 on the Free plan.
- Failed requests are not charged. If Glassdoor gives no successful answer for about 4 minutes, the run stops with `SOURCE_STALLED`. Rows saved before a failure are charged, because they were delivered.
- Set **Maximum cost per run** to at least $0.00166, the minimum Apify accepts for this Actor. When the limit is reached, the run stops with `CHARGE_LIMIT` and keeps the rows it saved.
- Platform usage is paid by the developer on every run.

**Measured run.** The prefill run (10 jobs, London, UK) finished in about 5 seconds. Its platform usage was $0.0003, paid by the developer.

#### Cost examples

| Scenario | Input scope | Expected item/event count | Base charge | Optional charge | Stop/cap behavior |
| --- | --- | ---: | ---: | ---: | --- |
| Empty search | Valid search, no results | 1 start, 1 source work | $0.0016 | None | Run ends `NO_RESULTS` |
| Small test | 10 jobs, London, UK | 1 start, 10 jobs | $0.0049 | None | Ends at `MAX_ITEMS` |
| Normal | 100 jobs | 1 start, 100 jobs | $0.0373 | None | Ends at `MAX_ITEMS` |
| Large | 1,000 jobs | 1 start, 1,000 jobs | $0.3613 | None | Ends at `MAX_ITEMS` |
| Reviews | 1,000 reviews of one company by URL | 1 start, 1,000 reviews | $0.0463 | None | Ends at `MAX_ITEMS` |
| Salaries | 3 salary titles of one company | 1 start, 3 salary titles | $0.0094 | None | Ends at `MAX_ITEMS` |
| Salaries, larger | 1,000 salary titles of one company | 1 start, 1,000 salary titles | $2.7013 | None | Ends at `MAX_ITEMS` |

The start fee is paid on every run, so very small runs are not the cheapest option per row. Salary titles and interviews cost more per row than jobs and reviews.

Jobs by plan (start fee included):

| Jobs | Free | Bronze | Silver | Gold and above |
| ---: | ---: | ---: | ---: | ---: |
| 10 | $0.0049 | $0.00441 | $0.00392 | $0.00343 |
| 100 | $0.0373 | $0.03357 | $0.02984 | $0.02611 |
| 1,000 | $0.3613 | $0.32517 | $0.28904 | $0.25291 |

For more about pay per event, see [Apify Store pricing](https://docs.apify.com/platform/actors/running/actors-in-store).

> **👉 [Try it now: open the input form](https://console.apify.com/actors/vhYvuITavD5kacL8L/input)**

### Limits

- **Public data only.** No login, no private pages and no paywalled content. The Actor does not collect names of review authors or personal email addresses. `enrichEmails` reads only the company website (up to five pages) and keeps generic role addresses.
- **Source changes.** The Actor reads public Glassdoor data that is not documented by Glassdoor. Glassdoor can change or block it. Then a run can fail, and the data can be incomplete.
- **Not all results.** A search can show more matches than the Actor can collect. Reaching your `maxItems` does not mean you have everything. `RUN_SUMMARY` shows `sourceTotal` (the total Glassdoor shows) and `coverageComplete`. Use several narrow searches to reach more jobs.
- **Speed.** The Actor pauses about 0.3 seconds between requests. In our tests 50 full jobs took about 10 seconds, 1,000 reviews about 7 seconds and 7,736 salary titles of one large company about 65 seconds.
- **Run time and memory.** The default run timeout is 14,400 seconds (4 hours). You can change it in the run options. The Actor stops 15 seconds before the platform timeout. The Actor runs with 256 MB.
- **Size.** One source response is limited to 16 MB. One Dataset row is limited to about 9 MB. A larger one stops the run with `DATASET_ROW_TOO_LARGE`, and earlier rows stay saved.
- **Monitoring.** The history keeps up to 50,000 jobs or 8 MB. Older closed jobs are removed first. Use one run at a time for each `stateName`. Changed filters need a new `stateName`. A job missing from a search is not called closed. Glassdoor must show an expiry.
- **Dates.** `sourceDiscoverDate` is when Glassdoor found the job. `postedDateEstimate` is calculated from the listing age. Neither is an exact posting time.
- **Pay.** Currencies are not converted. A salary row names its actual country and place, and it can be wider than the place you asked for. Company salary tables cover all years of experience.
- **Language.** Job and review text stays in its source language. Reviews use `reviewLanguage` (default `eng`).
- **Photos.** Photo rows have links and captions. Images are not downloaded.
- **Not an AI.** Resume scores and pain point reports use fixed rules. They are not AI output and not predictions.
- **Not affiliated.** This Actor is not affiliated with, endorsed by or sponsored by Glassdoor. Check Glassdoor's terms for your use of the data.

> **👉 [Try it now: open the input form](https://console.apify.com/actors/vhYvuITavD5kacL8L/input)**

### API, export and integrations

- **API:** Start the Actor with the Apify API and read the Dataset. The Actor ID is `vhYvuITavD5kacL8L`, and the Store name is `cliqtomedia/glassdoor-scraper`. See the [Apify API reference](https://docs.apify.com/api/v2).
- **Export:** Download the Dataset as JSON, CSV, Excel, XML, HTML or RSS from the Console or the API. Use `outputFormat` `flat` for spreadsheets.
- **Scheduling:** Run the same input every day with an [Apify schedule](https://docs.apify.com/platform/schedules). For job monitoring, set `onlyNew` and a `stateName` so each run returns only new jobs.
- **Webhooks / no-code:** Start another system when a run finishes with Apify webhooks and [integrations](https://docs.apify.com/platform/integrations). The next system reads the Dataset rows.
- **SDK:** Use the [Apify JavaScript client](https://docs.apify.com/api/client/js) or the Python client.

Run it with one HTTP call. This call waits for the run and returns the rows:

```bash
curl -X POST "https://api.apify.com/v2/acts/cliqtomedia~glassdoor-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"mode":"jobs","query":"data analyst","location":"London","country":"UK","maxItems":10}'
```

Use the asynchronous run endpoint for large runs, because a synchronous call times out after a few minutes.

#### Use with AI agents (MCP)

- MCP server URL with only this Actor: `https://mcp.apify.com?tools=cliqtomedia/glassdoor-scraper`. See the [Apify MCP docs](https://docs.apify.com/platform/integrations/mcp).
- Smallest useful input (same as the form prefill):

```json
{
  "mode": "jobs",
  "query": "data analyst",
  "location": "London",
  "country": "UK",
  "maxItems": 10
}
```

- Key output fields: `title` (job title), `company` (employer), `location` (job place), `salaryMin` and `salaryMax` (pay shown, with `salaryCurrency`), `url` (public job page), `description` (full text).
- Typical run: about 5 seconds and $0.0049 on the Free plan for 10 jobs.
- Limits an agent must respect: set `maxItems` to what you need, set a maximum cost per run, and use filters on purpose, because they add source work. Salary titles and interviews cost $0.0027 each on the Free plan. Large runs take longer than a tool call waits, so poll the run.

> **👉 [Try it now: open the input form](https://console.apify.com/actors/vhYvuITavD5kacL8L/input)**

### Troubleshooting

#### Run failed with `SOURCE_BLOCKED`, `RATE_LIMIT`, `SOURCE_HTTP_ERROR`, `NETWORK_ERROR` or `SOURCE_STALLED`

Symptom: the run is `FAILED`. Some rows may already be in the Dataset.
Likely reason: Glassdoor refused or slowed the requests, or the network failed. The Actor already retried and, with `proxyMode` `auto`, tried other routes.
Check: open `RUN_SUMMARY` and read `stopReason`, `requests`, `retries` and `warnings`. Rows saved before the failure stay in the Dataset and are charged.
Action: run again later with a smaller `maxItems`, or split the search. A failure is never shown as an empty result.

#### Dataset is empty and the run is `SUCCEEDED`

Symptom: no rows, `stopReason` `NO_RESULTS`, or `LOCATION_NOT_FOUND`.
Likely reason: the search matched nothing, a filter removed everything, or Glassdoor does not know the place.
Check: try the same search on the Glassdoor site you chose in `country`. Remove filters one by one. Read `filtered` and `discovered` in `RUN_SUMMARY`.
Action: change the query or place, or remove filters. You paid the start fee and one source work unit.

#### Fewer rows than `maxItems`

Symptom: the run ends with `EXHAUSTED` or `NO_RESULTS` and fewer rows than your limit.
Likely reason: Glassdoor has fewer matching items, filters removed some, duplicates were removed, or a listing was removed between the search and the details. Removed listings are skipped, are not charged and are noted as `LISTING_REMOVED_BEFORE_DETAILS`.
Check: `RUN_SUMMARY` fields `sourceTotal`, `discovered`, `duplicates`, `filtered` and `coverageComplete`.
Action: widen the search or use several searches.

#### Warning `STATE_STORE_FALLBACK` or `STATE_STORE_UNAVAILABLE`

Symptom: `RUN_SUMMARY` `warnings` lists `STATE_STORE_FALLBACK` or `STATE_STORE_UNAVAILABLE` in a monitor or `onlyNew` run.
Likely reason: your account already has a storage named `glassdoor-scraper-state-<stateName>` that another Actor or you made. This Actor may not open storages it did not create.
Check: open Storage > Key-value stores in your account and look for `glassdoor-scraper-<first 24 characters of stateName>-<8 hex characters>`. That is where `STATE_STORE_FALLBACK` keeps the history. With `STATE_STORE_UNAVAILABLE` nothing is kept and jobs are compared only inside the run.
Action: the results are complete either way. For a clean history use a new `stateName`.

#### Run ended with `CHARGE_LIMIT`

Symptom: the run is `SUCCEEDED` but `status` is `partial`.
Likely reason: the maximum cost per run was reached.
Check: the run's cost limit and the number of rows saved.
Action: raise the limit and run again. Use `excludeJobIds` to skip jobs you already have.

#### Run failed at the start with an input code

Symptom: the run fails in seconds with a code in `stopReason`.
Likely reason: a required input is missing or wrong.
Check and action:

| Code | What to do |
| --- | --- |
| `COMPANY_REQUIRED` | In a company mode, add `companyUrls`, `companyNames`, `employerIds` or `query`. |
| `INVALID_COMPANY_URL` | Use a public Glassdoor company link (overview, reviews, salaries and other tabs). |
| `INVALID_SEARCH_URL` | Use a Glassdoor job search link on a supported country site. |
| `SEARCH_URLS_REQUIRE_JOBS_MODE` | `searchUrls` works only in `jobs` mode. |
| `COMPANY_INPUT_REQUIRES_COMPANY_MODE` | In `jobs` mode use `companyName` or `employerIds`, not `companyUrls` or `companyNames`. |
| `SALARY_JOB_TITLE_REQUIRED` | Add `salaryJobTitle` for `salaryReports`. |
| `QUERY_REQUIRED` | Add `query` or `queries` for `salarySearch`. |
| `STATE_NAME_REQUIRED` | Add `stateName` when you use `monitor`, `onlyNew` or `checkClosed`. |
| `INVALID_SALARY_RANGE`, `INVALID_REVIEW_DATE_RANGE`, `INVALID_REVIEW_RATING_RANGE` | Make the minimum smaller than the maximum, or the start date earlier than the end date. |
| `STATE_SCOPE_MISMATCH` | You changed the search for an existing `stateName`. Use a new name. |

A value outside the allowed list or range (for example an unknown `mode`) is rejected by the Apify platform before the run starts.

#### Run failed with `DEADLINE`

Symptom: the run is `FAILED` after a long time.
Likely reason: the run timeout was reached.
Check: the timeout in the run options and the rows saved.
Action: raise the timeout, lower `maxItems`, or split the work. Saved rows stay in the Dataset.

#### The cost is higher than expected

Symptom: the bill has source work or Unblocker page charges.
Likely reason: you used an option that adds source work, or `proxyMode` `auto` switched to the paid page fetch.
Check: `RUN_SUMMARY` fields `sourceWorkUnits`, `workReasons` and `unblockerPages`.
Action: remove the option, set `proxyMode` to `direct`, and set a maximum cost per run.

> **👉 [Try it now: open the input form](https://console.apify.com/actors/vhYvuITavD5kacL8L/input)**

### FAQ

#### Do I need a Glassdoor account, cookies or an API key?

No. The Actor reads public pages and does not log in. Do not send your Glassdoor password or cookies.

#### Does it collect personal data?

No names of review authors and no personal email addresses. With `enrichEmails` it may return generic company mailboxes such as info@ from the company's own website.

#### Why does my review or salary run cost more than a job run?

Each event has its own price. A salary title or an interview costs $0.0027 on the Free plan. A job costs $0.00036 and a review $0.000045. Use `maxItems` and a maximum cost per run to stay in budget.

#### Why did I get fewer rows than I asked for?

`maxItems` is a limit, not a promise. Glassdoor may have fewer matches, and filters and duplicates remove rows. Check `sourceTotal` and `coverageComplete` in `RUN_SUMMARY`.

#### How fresh is the data?

Each row has `fetchedAt`, the time of the fetch. Job ages and posting dates come from Glassdoor and may be estimates. Run again to refresh.

#### Can I get only new jobs each day?

Yes. Set `onlyNew` `true` and a `stateName`, and run the Actor on an Apify schedule with the same settings.

#### Which countries are supported?

The 23 Glassdoor sites in the `country` list. Company salary and benefit tables use `salaryCountryId` and `benefitsCountryId` (1 United States, 2 United Kingdom, 3 Canada).

#### Is this affiliated with Glassdoor?

No. It is an independent Actor and is not affiliated with, endorsed by or sponsored by Glassdoor.

> **👉 [Try it now: open the input form](https://console.apify.com/actors/vhYvuITavD5kacL8L/input)**

### Related Actors

- [Google Jobs Scraper - Salary, Apply Links & Dates, No Login](https://apify.com/cliqtomedia/google-jobs-scraper) — the same job searches across many job boards at once.
- [StepStone Jobs Scraper DE, AT, BE, NL — New Jobs, No Login](https://apify.com/cliqtomedia/stepstone-jobs-scraper) — job listings for Germany, Austria, Belgium and the Netherlands.
- [SEEK Jobs Scraper AU & NZ — Filters, No Login](https://apify.com/cliqtomedia/seek-jobs-scraper) — job listings for Australia and New Zealand.
- [Greenhouse Jobs Scraper & Monitor: Job Board Export](https://apify.com/cliqtomedia/greenhouse-jobs-monitor-scraper) — open roles straight from company career pages.

> **👉 [Try it now: open the input form](https://console.apify.com/actors/vhYvuITavD5kacL8L/input)**

### Support

For a bug, a question or a feature request, open the **Issues** tab of this Actor on Apify. Please add the run ID, the `mode` you used and the non-sensitive error text or `stopReason` from `RUN_SUMMARY`. Never send tokens, cookies, billing data or private data.

> **👉 [Try it now: open the input form](https://console.apify.com/actors/vhYvuITavD5kacL8L/input)**

# Changelog

This Actor's version history is a separate document: https://apify.com/cliqtomedia/glassdoor-scraper/changelog.md

# Actor input Schema

## `mode` (type: `string`):

Choose jobs, companies, reviews, salaries, interviews, benefits, offices, culture ratings, photos, company search, salary market search, or anonymous salary reports.

## `query` (type: `string`):

Search for a job title, skill, or company. In company mode, finds one company by name. Job search URLs take priority over Query.

## `location` (type: `string`):

City, state, or country. For example London. An unknown location returns no results with LOCATION_NOT_FOUND.

## `country` (type: `string`):

Choose the Glassdoor website for search and source links. Company salary and benefit countries have separate fields. Public API text is returned in its available language.

## `maxItems` (type: `integer`):

Stop after this many primary results. Jobs and profiles use a total for the run. Reviews and salary titles use this limit for each company. Source coverage, your budget and your run timeout can give fewer results.

## `companyUrls` (type: `array`):

Public Glassdoor company links, including overview, review and salary tabs or a custom company page. Each company ID is collected once.

## `companyNames` (type: `array`):

Find companies by name. Each completed name lookup costs extra, including no-match searches. Check company IDs because the source uses its best match.

## `searchUrls` (type: `array`):

Glassdoor job search URLs. They take priority over Query. Input filters take priority over URL filters. Use several narrower searches to cover more jobs.

## `includeDetails` (type: `boolean`):

Include full available job descriptions and employer details. On by default. Turn off to collect search results only.

## `includeSalaries` (type: `boolean`):

In Company profiles mode, also save salary-title rows in the dataset. Salary rows have a separate price. Collection continues across public pages.

## `outputFormat` (type: `string`):

Flat is easy to export to Sheets. Nested keeps location, salary and company objects. Salary tables are JSON text in Flat output.

## `daysOld` (type: `integer`):

Keep jobs posted within this many days, from 1 to 365. Omit to use the source default.

## `easyApply` (type: `boolean`):

Return only jobs marked Easy Apply by Glassdoor.

## `remoteWorkType` (type: `boolean`):

Ask Glassdoor for remote jobs. The source can include hybrid work; check Remote type in the output.

## `minRating` (type: `number`):

Request employers with a rating at least this high, from 0 to 5. Missing source ratings stay null.

## `employerSizes` (type: `string`):

Filter by Glassdoor company size group. Omit to include all sizes.

## `radius` (type: `string`):

Distance around the selected location, in miles. Glassdoor may adjust this by market.

## `sortBy` (type: `string`):

Choose most relevant or most recent jobs.

## `excludeJobIds` (type: `array`):

Do not return or charge for these job IDs. Add up to 1000 numeric IDs.

## `urlParam` (type: `array`):

Optional source filters: industryNId, jobType, seniorityType, minSalary, maxSalary, sgocId, includeNoSalaryJob, employerId. Unsupported names are rejected.

## `monitor` (type: `boolean`):

Compare jobs with a private rolling history. Older closed jobs are removed first when history is full. Use one writer for each State name.

## `onlyNew` (type: `boolean`):

Return only IDs not yet saved in this history. Enables tracking. Unchanged jobs are free, but the run has a platform start charge.

## `checkClosed` (type: `boolean`):

Check saved jobs missing from the current search. Closed requires explicit expiry from Glassdoor; absence or 404 is not enough. Ignored with New jobs only. Uses your run time and result budget.

## `stateName` (type: `string`):

A unique name for one search history: 3–41 lowercase letters, digits or hyphens, starting with a letter and not ending with a hyphen. Use the same search settings on later runs.

## `keywords` (type: `string`):

Optional alias for query. Query takes priority when both are set.

## `limit` (type: `integer`):

Optional alias for maxItems. MaxItems takes priority when both are set.

## `includeReviews` (type: `boolean`):

In Company profiles mode, also save public review rows and review insights. Review rows and successful Unblocker pages have separate prices.

## `maxReviews` (type: `integer`):

Maximum reviews to collect for each company when Add company reviews is on. Review mode uses Maximum results instead.

## `maxSalaryTitles` (type: `integer`):

Maximum salary titles for each company when Add salary titles is on. Salary titles mode uses Maximum results instead.

## `reviewSort` (type: `string`):

Choose the review order used by Glassdoor. Monthly averages and repeated phrases cover the reviews collected in this run.

## `reviewLanguage` (type: `string`):

Three-letter Glassdoor language code, for example eng, fra or deu. Reviews stay in their source language.

## `proxyMode` (type: `string`):

Auto starts with direct HTTP and tries proxy routes if blocked. Successful Apify Unblocker pages cost extra, on top of saved results. Forced routes are useful for checks.

## `queries` (type: `array`):

Job titles or salary searches. Results share Max items. Search URLs take priority in jobs mode.

## `locations` (type: `array`):

Search each city, state, or country. Results share Max items. Leave empty to use Location.

## `maxResultsPerSearch` (type: `integer`):

Stop each keyword and location search after this many saved results. Max items is the total limit.

## `jobIds` (type: `array`):

Fetch these Glassdoor job IDs directly, without a keyword search. Duplicate and excluded IDs are skipped.

## `matchTitle` (type: `string`):

Keep jobs whose titles contain any search word (loose) or every word (strict). Off keeps the source search ranking.

## `companyName` (type: `string`):

In jobs mode, find this company and search only its jobs. No default job title is added.

## `excludeCompanies` (type: `array`):

Exclude employers matching any of these phrases. Matches use word boundaries.

## `includeKeywords` (type: `array`):

Keep jobs containing at least one phrase in the title or full description.

## `excludeKeywords` (type: `array`):

Exclude jobs containing any phrase in the title or full description.

## `employmentType` (type: `array`):

Search these employment types. Several types are separate searches with duplicate jobs removed.

## `seniority` (type: `array`):

Use the source seniority filter.

## `industry` (type: `array`):

Filter by the source industry categories.

## `jobFunction` (type: `array`):

Filter by job function.

## `workplaceType` (type: `string`):

Remote, hybrid, or on site. Only jobs with a matching source label are kept; missing labels are not guessed.

## `minSalary` (type: `number`):

Minimum annual salary in the source market currency. No currency conversion.

## `maxSalary` (type: `number`):

Maximum annual salary in the source market currency. No currency conversion.

## `includeJobsWithoutSalary` (type: `boolean`):

Allow jobs with no public salary. Turn off to request salary-bearing jobs only.

## `radiusKm` (type: `string`):

Search radius in kilometres, converted to miles for Glassdoor.

## `postedAfter` (type: `string`):

Keep jobs with a source-derived posting day on or after YYYY-MM-DD. Posting days are estimates from listing age.

## `resumeKeywords` (type: `array`):

Skills to score, with optional aliases. Adds matched and missing skills and a score; does not remove jobs.

## `deepSearch` (type: `boolean`):

Also search Expand keywords and related titles returned by Glassdoor, with duplicate removal. Advanced processing also uses the Source work price event.

## `expandKeywords` (type: `array`):

Extra job titles for Deep search.

## `includeCompanyDetails` (type: `boolean`):

Fetch and cache the full public company profile for each employer. Adds mission, CEO, counts, links, and available awards. Uses the Source work price event for extra processing.

## `salaryBenchmark` (type: `boolean`):

Add public salary percentiles for the job title and location. The output records the actual source geography and confidence. Uses the Source work price event for extra processing.

## `reviewsStartDate` (type: `string`):

Keep reviews dated on or after YYYY-MM-DD. Date sorting can stop when older reviews are reached.

## `interviewsStartDate` (type: `string`):

Keep interviews dated on or after YYYY-MM-DD.

## `benefitsStartDate` (type: `string`):

Keep benefit reviews dated on or after YYYY-MM-DD. Source dates have day precision.

## `reviewIncludes` (type: `array`):

Keep reviews containing at least one phrase in Review search field. Advanced processing also uses the Source work price event.

## `reviewExcludes` (type: `array`):

Exclude reviews containing any phrase in Review search field. Advanced processing also uses the Source work price event.

## `onlyCurrentEmployees` (type: `boolean`):

Keep reviews explicitly marked as written by current employees.

## `includeAllReviews` (type: `boolean`):

Collect all seven languages offered by the public review language filter. Uses one shared limit and removes duplicate reviews. Advanced processing also uses the Source work price event.

## `reviewLanguages` (type: `array`):

Collect these three-letter language codes, for example eng, deu, fra. Empty uses Review language. Date sorting merges languages by date. Advanced processing also uses the Source work price event.

## `painPointAnalysis` (type: `boolean`):

Create a rule-based report with complaint themes, strengths, possible attrition signals, actions, and supporting review IDs. This is not an LLM report or a prediction.

## `includeInterviews` (type: `boolean`):

Also collect public interviews in company mode.

## `maxInterviews` (type: `integer`):

Maximum interviews per company.

## `includeBenefits` (type: `boolean`):

Also collect public benefit reviews in company mode.

## `maxBenefits` (type: `integer`):

Maximum benefit reviews per company.

## `interviewSort` (type: `string`):

Sort interviews using the source controls.

## `interviewJobTitle` (type: `string`):

Keep interviews for this job title.

## `interviewOutcome` (type: `array`):

Keep these interview outcomes.

## `interviewExperience` (type: `array`):

Keep these interview experiences.

## `includeDemographicRatings` (type: `boolean`):

Add public aggregate demographic ratings to company profiles. No individual demographic data.

## `minCompanyRating` (type: `number`):

Minimum company rating in Company rating type.

## `minReviewCount` (type: `integer`):

Minimum number of public company reviews.

## `companyRatingType` (type: `string`):

Rating dimension to use for company search and company filters.

## `companyHeadquarters` (type: `string`):

Keep company profiles whose headquarters contain this text. Advanced processing also uses the Source work price event.

## `reviewSearchField` (type: `string`):

Choose which review text to search. All includes title, pros, cons, and advice.

## `includePhotos` (type: `boolean`):

Also collect public photo metadata and image links in company mode. Images are not downloaded.

## `includeLocations` (type: `boolean`):

Also collect public office addresses in company mode.

## `maxPhotos` (type: `integer`):

Maximum photo records per company.

## `maxLocations` (type: `integer`):

Maximum office records per company.

## `enrichEmails` (type: `boolean`):

Read the company website for public role addresses such as info@ or sales@. Personal email addresses are excluded. Best effort; up to five pages. Uses the Source work price event for extra processing.

## `qualifyByPayment` (type: `boolean`):

Look for public payment or ecommerce scripts on the company website. Returns processor names and evidence. Missing signals mean unknown. No payment keys are collected. Uses the Source work price event for extra processing.

## `includeCompanyExtras` (type: `boolean`):

Include photos, review distributions, review locations, demographic ratings, employer content, and updates in company profiles. Applies to Company profiles and Company search. Turn off for a smaller profile.

## `maxProfilePhotos` (type: `integer`):

Maximum photos included inside each company profile. Separate photo rows use Max photos instead.

## `maxProfileUpdates` (type: `integer`):

Maximum company updates included inside each profile.

## `salaryCountryId` (type: `integer`):

Country for company salary tables. Glassdoor country IDs: 1 United States, 2 United Kingdom, 3 Canada. Include all salaries visits every source country instead.

## `benefitsCountryId` (type: `integer`):

Country for benefit reviews. Glassdoor country IDs: 1 United States, 2 United Kingdom, 3 Canada. The benefit statistics record lists source countries and IDs.

## `includeAllSalaries` (type: `boolean`):

Collect company salary tables for every country listed by Glassdoor, within Max items. Each row records its country. Partial coverage lists visited countries. Advanced processing also uses the Source work price event.

## `payPeriod` (type: `string`):

Pay period for company salary tables. Glassdoor converts available estimates to this period.

## `descriptionFormat` (type: `string`):

Write full job descriptions as plain text, source HTML, or Markdown.

## `includeDescriptionHtml` (type: `boolean`):

Also keep the original public description HTML alongside the chosen description format.

## `maxSourceRequests` (type: `integer`):

Optional total request limit for this run. Leave empty to use the result limit, your charge cap, and the run timeout.

## `sourceDataLimitMB` (type: `number`):

Optional total size of downloaded source responses in decimal MB. Leave empty for no total data limit. Each response still has a safety size limit.

## `salaryJobTitle` (type: `string`):

Job title for anonymous salary reports, for example Software Engineer. Advanced processing also uses the Source work price event.

## `yearsOfExperience` (type: `string`):

Experience filter for anonymous salary reports. Company salary aggregates remain for all years.

## `employerIds` (type: `array`):

Glassdoor employer IDs. Works for company sections and company job searches. Use numeric IDs, for example 1651.

## `postedBefore` (type: `string`):

Keep jobs with an estimated posting day on or before YYYY-MM-DD. Jobs without a posting estimate are excluded.

## `excludeSponsored` (type: `boolean`):

Remove jobs explicitly marked as sponsored by Glassdoor. Unknown sponsorship is kept.

## `includeTitleKeywords` (type: `array`):

Keep jobs with at least one of these phrases in the title.

## `excludeTitleKeywords` (type: `array`):

Remove jobs with any of these phrases in the title.

## `locationIncludes` (type: `array`):

Keep jobs whose source location contains at least one phrase.

## `reviewsEndDate` (type: `string`):

Keep reviews on or before YYYY-MM-DD.

## `reviewMinRating` (type: `number`):

Keep reviews with an overall rating at least this high.

## `reviewMaxRating` (type: `number`):

Keep reviews with an overall rating at most this high.

## `reviewStars` (type: `array`):

Keep reviews with one of these exact overall star ratings.

## `reviewJobTitle` (type: `string`):

Keep reviews whose job title contains this text.

## `reviewLocation` (type: `string`):

Keep reviews whose location contains this text.

## `reviewEmploymentStatuses` (type: `array`):

Keep these source employment status labels, for example REGULAR. Matches ignore letter case.

## `minReviewWords` (type: `integer`):

Minimum number of words across the review title, pros, cons, and advice.

## `interviewDifficulty` (type: `array`):

Keep these interview difficulty labels. Empty keeps all difficulties.

## `includeJobs` (type: `boolean`):

Also collect jobs for each company. Job rows use the Job price event.

## `maxJobs` (type: `integer`):

Maximum jobs per company when Include jobs is on.

## `jobQuery` (type: `string`):

Optional job title within each company when Include jobs is on. Empty searches all its jobs.

## Actor input object example

```json
{
  "mode": "jobs",
  "query": "data analyst",
  "location": "London",
  "country": "UK",
  "maxItems": 10,
  "companyUrls": [],
  "companyNames": [],
  "searchUrls": [],
  "includeDetails": true,
  "includeSalaries": false,
  "outputFormat": "flat",
  "easyApply": false,
  "remoteWorkType": false,
  "sortBy": "relevant_desc",
  "excludeJobIds": [],
  "urlParam": [],
  "monitor": false,
  "onlyNew": false,
  "checkClosed": false,
  "includeReviews": false,
  "maxReviews": 20000,
  "maxSalaryTitles": 20000,
  "reviewSort": "DATE",
  "reviewLanguage": "eng",
  "proxyMode": "auto",
  "queries": [],
  "locations": [],
  "jobIds": [],
  "matchTitle": "off",
  "excludeCompanies": [],
  "includeKeywords": [],
  "excludeKeywords": [],
  "employmentType": [],
  "seniority": [],
  "industry": [],
  "jobFunction": [],
  "workplaceType": "any",
  "includeJobsWithoutSalary": true,
  "resumeKeywords": [],
  "deepSearch": false,
  "expandKeywords": [],
  "includeCompanyDetails": false,
  "salaryBenchmark": false,
  "reviewIncludes": [],
  "reviewExcludes": [],
  "onlyCurrentEmployees": false,
  "includeAllReviews": false,
  "reviewLanguages": [],
  "painPointAnalysis": false,
  "includeInterviews": false,
  "maxInterviews": 20000,
  "includeBenefits": false,
  "maxBenefits": 20000,
  "interviewSort": "DATE",
  "interviewOutcome": [],
  "interviewExperience": [],
  "includeDemographicRatings": false,
  "minReviewCount": 0,
  "companyRatingType": "overallRating",
  "reviewSearchField": "cons",
  "includePhotos": false,
  "includeLocations": false,
  "maxPhotos": 20000,
  "maxLocations": 20000,
  "enrichEmails": false,
  "qualifyByPayment": false,
  "includeCompanyExtras": true,
  "maxProfilePhotos": 100,
  "maxProfileUpdates": 400,
  "salaryCountryId": 1,
  "benefitsCountryId": 1,
  "includeAllSalaries": false,
  "payPeriod": "ANNUAL",
  "descriptionFormat": "text",
  "includeDescriptionHtml": false,
  "yearsOfExperience": "ALL",
  "employerIds": [],
  "excludeSponsored": false,
  "includeTitleKeywords": [],
  "excludeTitleKeywords": [],
  "locationIncludes": [],
  "reviewStars": [],
  "reviewEmploymentStatuses": [],
  "minReviewWords": 0,
  "interviewDifficulty": [],
  "includeJobs": false,
  "maxJobs": 20000
}
```

# Actor output Schema

## `dataset` (type: `string`):

Public job, company, review, salary, interview, benefit, office, culture, and photo records.

## `summary` (type: `string`):

Result count, coverage and the reason the run stopped.

## `comparison` (type: `string`):

Open the comparison table and the report index for collected company profiles.

## `reviewInsights` (type: `string`):

Open the company report index. Each report can contain review insights, themes, benefit and interview statistics, salary details, and collection coverage.

## `companyReports` (type: `string`):

Index of each company report and its available sections.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "query": "data analyst",
    "location": "London",
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("cliqtomedia/glassdoor-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "query": "data analyst",
    "location": "London",
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("cliqtomedia/glassdoor-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "query": "data analyst",
  "location": "London",
  "maxItems": 10
}' |
apify call cliqtomedia/glassdoor-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,cliqtomedia/glassdoor-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/vhYvuITavD5kacL8L/builds/88d9mR3LUCpc56TLh/openapi.json