# Glassdoor Jobs Scraper & API: Salaries, Company Ratings (`s_actors/glassdoor-jobs-scraper`) Actor

Scrape Glassdoor jobs without login: salary range for most jobs (employer or Glassdoor estimate, per year), company profile with 9 employee ratings, filters by work-life balance, pay and culture ratings, remote, no reposts or agencies, new-job alerts. Excel, CSV, JSON.

- **URL**: https://apify.com/s\_actors/glassdoor-jobs-scraper.md
- **Developed by:** [Superior Actors](https://apify.com/s_actors) (community)
- **Categories:** Jobs, Lead generation, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.22 / 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

### Glassdoor Jobs Scraper & API: Salaries and Company Ratings

Scrape **Glassdoor jobs** to Excel, CSV or JSON **without login**: every job with its pay range, full description and the employer's Glassdoor profile. What sets it apart:

- **A salary on almost every job.** The employer's posted range or Glassdoor's estimate (low, median, high), marked which is which, converted to a year.
- **All 9 employee ratings of the company on every job, at no extra cost**: work-life balance, pay and benefits, culture, career opportunities, senior management, diversity, CEO approval, recommend to a friend, business outlook. Plus size, revenue, industry, founded, website, headquarters, CEO.
- **Filter by what employees say**: only companies with work-life balance 4.0+, pay and benefits 3.5+, good culture or career growth. Glassdoor's own search filters only by the overall rating.
- **Job alerts, no reposts, no staffing agencies.** Schedule it and get only the jobs you have not seen.

```json
{ "keywords": ["data analyst"], "locations": ["Boston"], "minWorkLifeBalance": "4.0", "onlyWithSalary": true }
```

No Glassdoor account, no cookies, no browser extension. Use it as a **Glassdoor jobs API**: one call returns clean JSON with the fields above.

#### What you get

**One row per job.** Real example, September 2026 (data analyst, Boston):

| job | company | location | salary | posted by | rating | work-life | remote / hybrid |
|---|---|---|---|---|---|---|---|
| People Analytics Consultant | MFS | Boston, MA | $88,000 - $126,000/yr | employer | 3.9 | 3.8 | hybrid |
| Knowledge Analyst - Energy Solutions | McKinsey & Company | Boston, MA | $94,868 - $135,676/yr | Glassdoor estimate | 4.0 | 2.5 | |
| Operations Data Analyst Associate | Lockheed Martin | Chelmsford, MA | $65,500 - $121,700/yr | employer | 4.1 | 4.2 | |
| Data Analyst | Capgemini | Boston, MA | $29.12 - $45.51/hr | employer | 4.3 | 4.2 | |
| Talent Analyst Co-op - January 2027 | Wayfair | Boston, MA | $24.00/hr | employer | 3.1 | 3.3 | hybrid |

In our test of 100 US data analyst jobs (September 2026) 96 had a pay range (83 posted by the employer), 85 had the company ratings and 70 stated remote, hybrid or on-site work.

| Field | Description |
|---|---|
| `jobId`, `jobUrl`, `applyUrl`, `title` | The job, its Glassdoor page and the apply link |
| `companyName`, `companyLegalName`, `companyId`, `companyUrl`, `companyLogo` | The employer and its Glassdoor page |
| `location`, `country`, `latitude`, `longitude` | Where |
| `postedDate`, `ageInDays` | When it was posted (from Glassdoor's "days ago") |
| `salaryText`, `salaryMin`, `salaryMedian`, `salaryMax`, `salaryCurrency`, `salaryPeriod` | Pay as shown on Glassdoor: `hour`, `day`, `week`, `month` or `year` |
| `salaryYearlyMin`, `salaryYearlyMedian`, `salaryYearlyMax` | Pay converted to a year (hourly × 2 080) |
| `salarySource` | `employer` = posted by the employer, `glassdoor-estimate` = Glassdoor's estimate |
| `companyRating`, `companyRatings` | Overall rating and `workLifeBalance`, `compensationAndBenefits`, `cultureAndValues`, `careerOpportunities`, `seniorManagement`, `diversityAndInclusion` (1-5), `recommendToFriend`, `ceoApproval`, `businessOutlook` (share, 0-1) |
| `companySize`, `companyRevenue`, `companyType`, `companyFounded`, `companyWebsite`, `companyHeadquarters`, `companyCeo`, `industries`, `sector` | The employer's Glassdoor profile |
| `workplaceType`, `workplaceTypeSource`, `workplaceTypeEvidence` | `remote`, `hybrid`, `on-site` or empty when the job does not say; from Glassdoor's job attributes or the job text, with the exact words |
| `employmentType`, `experienceLevel`, `benefits`, `skills` | Full-time, part-time, contract, internship; entry / senior level; benefits and skills Glassdoor found in the job |
| `easyApply`, `isClosed`, `jobSource` | Apply on Glassdoor; no longer open; where the job came from |
| `description`, `descriptionHtml` | The full job description, plain text and / or HTML |
| `searchKeyword`, `searchLocation`, `searchUrl` | Which search found the job |
| `isNew`, `scrapedAt` | Job alerts: new since the last run |

Three table views: **Jobs**, **Salaries** (yearly low / median / high) and **Company ratings**.

#### How it works

| Step | What happens |
|---|---|
| 1. Search | Each keyword in each location (or your pasted Glassdoor search links) with Glassdoor's filters: date posted, remote, job type, experience level, minimum salary, Easy Apply, company rating and size, sort by date |
| 2. Details | Every new job's full data, 10 jobs per request: description, salary, attributes and the employer's profile with ratings |
| 3. Filters | Company ratings (work-life balance, pay, culture, career), salary, staffing agencies, title words, companies. Jobs removed here are not charged |
| 4. Clean-up | The same job found by several searches appears once; reposts (same title, company and location) are skipped |
| 5. Job alerts | With **Only new jobs** on, jobs from earlier runs are skipped before their details are loaded |

Glassdoor blocks datacenter IPs, so requests go through Apify's residential proxy. Proxy traffic is included in the price.

#### Why this Actor

| | This Actor | Typical Glassdoor job scraper |
|---|---|---|
| Salary range | ✅ Low, median, high, employer or estimate, per year | ⚠️ One field, or the estimate mixed with posted pay |
| Company ratings on every job | ✅ All 9, free | ⚠️ Overall only, or extra charge per job |
| Filter by work-life balance, pay, culture, career | ✅ | ❌ |
| Only salaries posted by the employer | ✅ | ❌ |
| Reposts and staffing agencies | ✅ Skipped, not charged | ⚠️ Some |
| Job alerts (only new jobs) | ✅ Built in, seen jobs not charged | ⚠️ Manual lists of job IDs |
| Filtered-out jobs | ✅ Free | ❌ Charged, or not filtered |
| Login or cookies | ✅ Not needed | ✅ / ⚠️ Some need your account |

#### Pricing

Pay per event, no subscription needed. Apify Scale and Business plans pay less:

| Event | Free and Starter plans | Scale plan | Business plan |
|---|---|---|---|
| Run start | $0.001 | $0.001 | $0.001 |
| Job (with description, salary and company profile) | $0.000305 | $0.00026 | $0.000215 |

**1 000 jobs = $0.31.** Free: jobs removed by your filters, reposts, jobs already seen by a job alert. Platform usage and residential proxy are included. Set a maximum cost per run in the run options: the Actor stops there.

#### Ready-made tasks

| Task | What it does |
|---|---|
| [Glassdoor Remote Jobs Scraper](https://apify.com/s_actors/glassdoor-jobs-scraper/examples/glassdoor-remote-jobs-scraper) | Remote jobs with salaries posted by the employer |
| [Glassdoor Salary Data by Job Title](https://apify.com/s_actors/glassdoor-jobs-scraper/examples/glassdoor-salary-data) | Pay ranges of a job title in a city, per year, to a spreadsheet |
| [Jobs at Companies With Good Work-Life Balance](https://apify.com/s_actors/glassdoor-jobs-scraper/examples/glassdoor-jobs-good-work-life-balance) | Only employers rated 4.0+ for work-life balance by their employees |

#### Job alerts

1. Set your search and filters, turn on **Only new jobs**, give the alert a **Monitor name**.
2. Save it as a task and add a **schedule** (every morning, with "Posted within: Past 24 hours").
3. Send the results by email, Slack, Google Sheets, Make, Zapier or **n8n** with Apify integrations.

The first run returns the current jobs; next runs return only jobs not seen before. Seen jobs are skipped before their details are loaded and are not charged.

#### FAQ

**Can I use it as a Glassdoor API?** Yes. This Actor reads the same data the Glassdoor website shows to any visitor and returns it as JSON through the Apify API.

**Is the salary real?** `salarySource` tells: `employer` is the range posted in the job (US pay-transparency laws), `glassdoor-estimate` is Glassdoor's estimate for that job from salaries reported by employees. Turn on **Only salaries posted by the employer** to keep only posted pay.

**How many jobs per search?** Glassdoor shows about 300 jobs per search, even when it counts thousands. For more, add locations (cities or states), keywords, or split by filters (job type, experience level). Jobs found twice are returned once.

**Which countries?** Any country Glassdoor lists jobs for: use a city, state or country as the location ("Germany", "London", "Toronto"). Salaries stay in the job's currency.

**How is remote work detected?** From Glassdoor's job attributes ("Remote", "Hybrid work", "In-person") and, when they are missing, from clear phrases in the title, location and description. `workplaceTypeEvidence` shows the words it used.

**Do I need a Glassdoor account?** No. Only pages any visitor can open are read.

#### Use with the API and AI agents

Run it from the Apify API, the JavaScript or Python client, **n8n**, Make or Zapier, or from AI agents through the [Apify MCP server](https://mcp.apify.com) (Claude, ChatGPT, Cursor). One call: `POST https://api.apify.com/v2/acts/s_actors~glassdoor-jobs-scraper/run-sync-get-dataset-items` with the input above returns the jobs as JSON. Set **Job description** to "None" for smaller answers.

#### Is it legal?

The Actor reads public Glassdoor job listings that anyone can open without an account, as a visitor does. It does not log in or collect personal profiles or reviews. Use the data according to the laws that apply to you (GDPR and similar) and Glassdoor's terms.

# Actor input Schema

## `keywords` (type: `array`):

One per line, as in the Glassdoor search box: "data analyst", "registered nurse", "Google". Each keyword is searched in each location. Leave empty to get all jobs in the locations.

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

City, state or country as Glassdoor's search box finds it: "New York", "Texas", "London", "Germany". Empty = United States.

## `maxJobsPerSearch` (type: `integer`):

Per keyword and location (and per search link). Glassdoor shows about 300 jobs per search: for more, add locations (cities or states) or split by filters.

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

Only jobs posted in this period. Use "Past 24 hours" for daily job alerts.

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

Glassdoor's order of results.

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

Only work-from-home and remote jobs. Works best with a country as the location ("United States"): remote jobs are rarely tied to a city.

## `jobType` (type: `string`):

Only this employment type. For internships use Experience level: Internship.

## `experienceLevel` (type: `string`):

Only jobs of this seniority, as Glassdoor classifies them.

## `minYearlySalary` (type: `integer`):

Only jobs whose pay range reaches this amount per year, in the job's currency (hourly pay × 2 080). Implies "Only jobs with salary".

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

Only jobs you can apply to on Glassdoor.

## `minCompanyRating` (type: `string`):

Only employers with this overall Glassdoor rating or higher.

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

Only employers of this size.

## `minWorkLifeBalance` (type: `string`):

Only employers whose employees rate work-life balance at least this.

## `minCompensationRating` (type: `string`):

Only employers whose employees rate pay and benefits at least this.

## `minCultureRating` (type: `string`):

Only employers whose employees rate culture and values at least this.

## `minCareerRating` (type: `string`):

Only employers whose employees rate career opportunities at least this.

## `onlyWithSalary` (type: `boolean`):

Keep only jobs with a pay range (the employer's or Glassdoor's estimate).

## `onlyEmployerSalary` (type: `boolean`):

Keep only jobs whose pay range was posted by the employer, not estimated by Glassdoor.

## `excludeStaffingAgencies` (type: `boolean`):

Skip jobs of staffing and recruiting companies (Glassdoor industry "HR & Staffing").

## `titleInclude` (type: `array`):

Keep only jobs whose title contains one of these words (case-insensitive), e.g. "senior", "lead".

## `titleExclude` (type: `array`):

Skip jobs whose title contains one of these words, e.g. "intern", "manager", "sales".

## `companyExclude` (type: `array`):

Skip jobs of companies whose name contains one of these words.

## `skipDuplicates` (type: `boolean`):

A job with the same title, company and location as one already in the results (reposts and copies) is skipped and not charged.

## `onlyNewJobs` (type: `boolean`):

Return only jobs not returned by earlier runs with the same monitor name. The first run returns the current jobs.

## `monitorName` (type: `string`):

Separate job alert lists: runs with the same name share the jobs already seen.

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

glassdoor.com/Job/...-SRCH\_....htm links copied from your browser, with any filters. Keyword, location and filters are taken from the link.

## `jobUrls` (type: `array`):

Full details of specific jobs: glassdoor.com/job-listing/...?jl=... links or job listing IDs. Closed jobs are returned too, with isClosed = true.

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

Format of the job description field.

## `proxyConfiguration` (type: `object`):

Keep Apify Proxy with the Residential group, country United States: Glassdoor blocks datacenter IPs, and US residential IPs pass best (also for jobs in other countries). Proxy traffic is included in the price.

## `maxConcurrency` (type: `integer`):

How many Glassdoor requests run at once (each loads up to 10 jobs).

## `debugLog` (type: `boolean`):

Log every failed attempt.

## Actor input object example

```json
{
  "keywords": [
    "data analyst"
  ],
  "locations": [
    "United States"
  ],
  "maxJobsPerSearch": 100,
  "postedWithin": "anyTime",
  "sortBy": "relevance",
  "remoteOnly": false,
  "jobType": "",
  "experienceLevel": "",
  "easyApplyOnly": false,
  "minCompanyRating": "",
  "companySize": "",
  "minWorkLifeBalance": "",
  "minCompensationRating": "",
  "minCultureRating": "",
  "minCareerRating": "",
  "onlyWithSalary": false,
  "onlyEmployerSalary": false,
  "excludeStaffingAgencies": false,
  "skipDuplicates": true,
  "onlyNewJobs": false,
  "monitorName": "default",
  "descriptionFormat": "text",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  },
  "maxConcurrency": 5,
  "debugLog": false
}
```

# Actor output Schema

## `overview` (type: `string`):

The main job fields.

## `salaries` (type: `string`):

Pay ranges converted to a year, with the median.

## `companies` (type: `string`):

Glassdoor employee ratings of each employer.

## `all` (type: `string`):

Every field of every job.

# 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 = {
    "keywords": [
        "data analyst"
    ],
    "locations": [
        "United States"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "US"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("s_actors/glassdoor-jobs-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 = {
    "keywords": ["data analyst"],
    "locations": ["United States"],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "US",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("s_actors/glassdoor-jobs-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 '{
  "keywords": [
    "data analyst"
  ],
  "locations": [
    "United States"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}' |
apify call s_actors/glassdoor-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,s_actors/glassdoor-jobs-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/g7tNxnsxlu7DtiWjy/builds/Ubr0CmgfuaSqMCaqy/openapi.json