# Glassdoor Job Listings Salary & Rating Scraper (`vexaloom-labs/glassdoor-job-listings-salary-and-rating-scraper`) Actor

Pull Glassdoor job listings by keyword and location or from a single company's jobs page, with salary estimates, employer ratings, Easy Apply status, and extracted skills per role.

- **URL**: https://apify.com/vexaloom-labs/glassdoor-job-listings-salary-and-rating-scraper.md
- **Developed by:** [vexaloom-labs](https://apify.com/vexaloom-labs) (community)
- **Categories:** Jobs, Automation, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.49 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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

## Glassdoor Job Listings Salary & Rating Scraper

Scrape **Glassdoor** job listings with salary percentiles, employer ratings and company profiles, full descriptions, and the site's own search filters. Search by keyword and location, paste search or company URLs, or refresh known job IDs across 20 Glassdoor country sites.

### What this actor does

- **Two modes:** `search` for keyword + location searches, and `byUrl` for search pages, company jobs pages, job URLs, and job IDs
- **Full filter surface:** posting date, employment type, seniority, company rating, salary range, Easy Apply, company size, industry, job function, radius, and sort order
- **Salary percentiles:** p10, median, and p90 with currency, pay period, and whether the employer or Glassdoor supplied the figure
- **Company context:** overall rating, logo, profile URL, size, revenue, headquarters, website, founded year, CEO, review count, and sub-ratings when available
- **Detail enrichment:** full description, exact posting and expiry dates, benefits, education and experience requirements, coordinates, and the Glassdoor apply link
- **Multi-country:** United States, United Kingdom, Canada, Ireland, France, Germany, Spain, Italy, Netherlands, Belgium, Austria, Switzerland, Australia, New Zealand, India, Singapore, Hong Kong, Brazil, Mexico, and Argentina
- **Omit-empty output:** fields Glassdoor does not provide are left out instead of returned as null, zero, or an empty list

### Output per job listing

- `jobListingId` — Glassdoor's internal listing ID
- `jobTitle`, `normalizedJobTitle` — posted title and Glassdoor's normalized role title
- `companyName`, `companyId` — employer and its Glassdoor ID
- `companyRating`, `companyLogo`, `companyProfileUrl` — overall rating, logo, and profile link
- `location`, `city`, `state`, `country`, `postalCode` — location as displayed plus structured parts when available
- `latitude`, `longitude` — coordinates when Glassdoor provides them
- `salary_min`, `salary_median`, `salary_max` — 10th percentile, median, and 90th percentile pay
- `salaryCurrency`, `salaryPeriod`, `salarySource` — currency, pay period, and pay source
- `datePosted`, `validThrough` — ISO posting and expiry dates when details are enabled
- `ageInDays` — listing age as shown in search results
- `employmentType`, `employmentTypes`, `jobTypes` — normalized and site-specific employment types
- `easyApply`, `directApply`, `isSponsored` — apply and placement flags
- `applyUrl` — Glassdoor's apply link for the listing
- `description` — the search-result description snippet
- `fullDescription`, `fullDescriptionHtml` — full posting text and HTML when details are enabled
- `benefits`, `educationRequirements`, `experienceMonths`, `experienceDescription` — structured requirements and benefits
- `industry`, `occupation`, `occupationId` — employer industry and Glassdoor occupation
- `skills` — skills Glassdoor extracted from the posting
- `companySize`, `companyRevenue`, `companyWebsite`, `companyHeadquarters`, `companyType`, `companyFoundedYear`, `companyCeo`, `companyReviewCount`, `companySubRatings` — employer profile fields
- `jobUrl` — direct link to the listing
- `searchQuery`, `searchLocation`, `searchUrl`, `sourceDomain` — search context
- `recordType`, `scrapedAt` — record metadata

### Input

| Field | Type | Default | Description |
|---|---|---|---|
| `mode` | string | `search` | `search` or `byUrl` |
| `searchQueries` | array | `[]` | Job titles, skills, or company names to search for (mode=search) |
| `location` | string | – | City, state, or country; leave empty for the country's whole market |
| `country` | string | `united-states` | Glassdoor country site |
| `startUrls` | array | `[]` | Search, job, or company jobs page URLs (mode=byUrl) |
| `jobIds` | array | `[]` | Glassdoor job IDs to refresh (mode=byUrl) |
| `postedWithin` | string | – | Any time, 24 hours, 3, 7, 14, or 30 days |
| `employmentType` | string | `all` | All, full-time, part-time, or contract |
| `seniority` | string | `all` | All, entry, mid-senior, director, or executive |
| `minRating` | string | `0.0` | Minimum employer rating: 1.0 through 4.0 |
| `minSalary` | integer | – | Minimum yearly pay in the country's currency |
| `maxSalary` | integer | – | Maximum yearly pay in the country's currency |
| `easyApplyOnly` | boolean | `false` | Only Easy Apply jobs |
| `remoteOnly` | boolean | `false` | Prefer remote jobs; the site filter is best-effort |
| `companySize` | string | `any` | Employer size band |
| `industry` | string | `any` | Employer industry |
| `jobFunction` | string | `any` | Role function |
| `radius` | string | – | Distance around the location in miles |
| `sortBy` | string | `relevance` | Relevance, newest first, or oldest first |
| `maxItems` | integer | `100` | Hard cap across all queries and slices (1–1000) |
| `includeDetails` | boolean | `false` | Fetch each job page for full details |
| `maximizeCoverage` | boolean | `false` | Run extra date, type, rating, and salary slices to go beyond one search's depth |

### Example: US search with rating and Easy Apply filters

```json
{
  "mode": "search",
  "searchQueries": ["software engineer"],
  "location": "New York, NY",
  "country": "united-states",
  "minRating": "4.0",
  "easyApplyOnly": true,
  "maxItems": 50,
  "includeDetails": true
}
```

### Example: UK search for recent contract roles

```json
{
  "mode": "search",
  "searchQueries": ["data analyst"],
  "location": "London",
  "country": "united-kingdom",
  "postedWithin": "7",
  "employmentType": "contract",
  "minSalary": 50000,
  "maxItems": 30
}
```

### Example: all current roles at one company

```json
{
  "mode": "byUrl",
  "startUrls": [
    { "url": "https://www.glassdoor.com/Jobs/Google-Jobs-E9079.htm" }
  ],
  "maxItems": 100,
  "includeDetails": true
}
```

### Example: refresh known job IDs

```json
{
  "mode": "byUrl",
  "jobIds": ["1010224897915", "1010283907867"],
  "country": "united-states",
  "includeDetails": true
}
```

### Use cases

- **Salary benchmarking** — compare Glassdoor's 10th, 50th, and 90th percentile pay for a role across cities, companies, and countries
- **Recruiting intelligence** — see which employers are hiring, for what, and how they are rated
- **Competitor hiring monitoring** — schedule a daily or weekly run for a company or job family
- **Lead generation for staffing agencies** — build lists of companies with open requisitions in a skill area
- **Job-board aggregation** — feed a niche board or newsletter with fresh listings
- **Labor-market research** — measure demand by industry, function, seniority, and location

### FAQ

#### Do I need a Glassdoor account, cookies, or a proxy?

No. The actor reads public Glassdoor pages without logging in and chooses a working connection automatically. Just fill in the input and run it.

#### Are salaries employer-reported or estimated?

Both happen. Check `salarySource`: `EMPLOYER_PROVIDED` means the posting states the pay; `ESTIMATED` means Glassdoor estimated it. When a listing publishes no pay, the salary fields are omitted.

#### Why did I get fewer results than `maxItems`?

Glassdoor reports a large match count but stops serving new pages well before that number. The actor stops when the cursor chain is exhausted or several pages bring no new listings, and reports the site's own match count in the run status. Turn on `maximizeCoverage` to split the search by date, job type, rating, and salary for more rows.

#### Why are some fields missing from a record?

Glassdoor does not provide every field for every listing. Company profiles, benefits, ratings, coordinates, and salary are the most common gaps. Fields with no value are omitted instead of returned as null. If `includeDetails` is on but `fullDescription`, dates, or company profile fields are absent, Glassdoor blocked the job page for this run; the record still contains every search-result field.

#### What does `includeDetails` change?

With details on, each job page is opened for the full description, exact dates, benefits, requirements, coordinates, apply link, and company profile. With details off, the actor uses the search results only: title, company, location, salary percentiles, rating, snippet, and flags. The daily test runs with details off.

#### Can I search more than one country in one run?

Each run uses one country site. Run the actor once per country to compare markets; `sourceDomain` records which site produced each row.

#### Does the remote filter always work?

Remote-only searches run market-wide. Glassdoor's remote filter can report matches but serve no rows when it is combined with a city, so the actor deliberately drops the city filter for remote-only runs and searches the selected country.

#### Can I scrape a company's open roles?

Yes. Use `mode=byUrl` with the company's Glassdoor jobs page URL, or search the company name as a keyword.

#### Why did a job ID or job URL return no record?

Job IDs and direct job URLs need Glassdoor's job detail page. If that page is blocked for the current network, the actor cannot rebuild the record; keyword/company searches and company jobs pages still work. Try a search by title or company instead of a bare job ID.

#### Is this affiliated with Glassdoor?

No. This is an independent, third-party actor that reads Glassdoor's public job pages. It has no connection to Glassdoor.

# Actor input Schema

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

Search by keyword and location, or scrape specific Glassdoor URLs and job IDs.

## `searchQueries` (type: `array`):

Job titles, skills, or company names to search for (mode=search). One search is run per query.

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

City, state, or country, e.g. 'New York, NY', 'London', 'Berlin'. Leave empty for the selected country's whole market.

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

Which Glassdoor country site to search.

## `startUrls` (type: `array`):

Glassdoor search, job, or company jobs page URLs. Job URLs return one detailed record each.

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

Glassdoor job listing IDs to refresh directly, e.g. '1010224897915'. The country site decides the domain.

## `postedWithin` (type: `string`):

Only include jobs posted within this window.

## `employmentType` (type: `string`):

Filter by the type of employment.

## `seniority` (type: `string`):

Filter by the role's seniority level.

## `minRating` (type: `string`):

Only include employers rated at least this well on Glassdoor.

## `minSalary` (type: `integer`):

Only include jobs paying at least this much per year, in the country's currency. Leave empty for no minimum.

## `maxSalary` (type: `integer`):

Only include jobs paying at most this much per year, in the country's currency. Leave empty for no maximum.

## `easyApplyOnly` (type: `boolean`):

Only return jobs you can apply to directly on Glassdoor.

## `remoteOnly` (type: `boolean`):

Only return remote jobs. Remote-only searches run market-wide because Glassdoor rejects city-scoped remote filters.

## `companySize` (type: `string`):

Filter by the employer's employee-count band.

## `industry` (type: `string`):

Filter by the employer's industry.

## `jobFunction` (type: `string`):

Narrow the search to one kind of role.

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

How far around the location to search. Only used when a location is set.

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

Order of the results. Sponsored listings may stay pinned at the top.

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

Maximum number of job listings to return across all queries and slices.

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

Fetch each job page for the full description, exact dates, benefits, requirements, coordinates, apply URL, and company profile. Slower and uses more requests.

## `maximizeCoverage` (type: `boolean`):

Run additional searches split by date, job type, rating, and salary to get past a single search's depth limit.

## Actor input object example

```json
{
  "mode": "search",
  "searchQueries": [
    "software engineer"
  ],
  "location": "New York, NY",
  "country": "united-states",
  "startUrls": [],
  "jobIds": [],
  "postedWithin": "",
  "employmentType": "all",
  "seniority": "all",
  "minRating": "0.0",
  "easyApplyOnly": false,
  "remoteOnly": false,
  "companySize": "any",
  "industry": "any",
  "jobFunction": "any",
  "radius": "",
  "sortBy": "relevance",
  "maxItems": 3,
  "includeDetails": false,
  "maximizeCoverage": false
}
```

# Actor output Schema

## `jobs` (type: `string`):

Dataset containing scraped job listings

# 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 = {
    "mode": "search",
    "searchQueries": [
        "software engineer"
    ],
    "location": "New York, NY",
    "country": "united-states",
    "startUrls": [],
    "jobIds": [],
    "postedWithin": "",
    "employmentType": "all",
    "seniority": "all",
    "minRating": "0.0",
    "easyApplyOnly": false,
    "remoteOnly": false,
    "companySize": "any",
    "industry": "any",
    "jobFunction": "any",
    "radius": "",
    "sortBy": "relevance",
    "maxItems": 3,
    "includeDetails": false,
    "maximizeCoverage": false
};

// Run the Actor and wait for it to finish
const run = await client.actor("vexaloom-labs/glassdoor-job-listings-salary-and-rating-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 = {
    "mode": "search",
    "searchQueries": ["software engineer"],
    "location": "New York, NY",
    "country": "united-states",
    "startUrls": [],
    "jobIds": [],
    "postedWithin": "",
    "employmentType": "all",
    "seniority": "all",
    "minRating": "0.0",
    "easyApplyOnly": False,
    "remoteOnly": False,
    "companySize": "any",
    "industry": "any",
    "jobFunction": "any",
    "radius": "",
    "sortBy": "relevance",
    "maxItems": 3,
    "includeDetails": False,
    "maximizeCoverage": False,
}

# Run the Actor and wait for it to finish
run = client.actor("vexaloom-labs/glassdoor-job-listings-salary-and-rating-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 '{
  "mode": "search",
  "searchQueries": [
    "software engineer"
  ],
  "location": "New York, NY",
  "country": "united-states",
  "startUrls": [],
  "jobIds": [],
  "postedWithin": "",
  "employmentType": "all",
  "seniority": "all",
  "minRating": "0.0",
  "easyApplyOnly": false,
  "remoteOnly": false,
  "companySize": "any",
  "industry": "any",
  "jobFunction": "any",
  "radius": "",
  "sortBy": "relevance",
  "maxItems": 3,
  "includeDetails": false,
  "maximizeCoverage": false
}' |
apify call vexaloom-labs/glassdoor-job-listings-salary-and-rating-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,vexaloom-labs/glassdoor-job-listings-salary-and-rating-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/DSfF2NaAOpJo6ZUsx/builds/BdZTD0QnUCK2T2UIM/openapi.json