# Glassdoor Jobs Scraper (`datascrapers/glassdoor-jobs-scraper`) Actor

Scrape job listings from Glassdoor by search query and location, with optional job detail enrichment.

- **URL**: https://apify.com/datascrapers/glassdoor-jobs-scraper.md
- **Developed by:** [Farhan Ali](https://apify.com/datascrapers) (community)
- **Categories:** Jobs, Integrations, MCP servers
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.80 / 1,000 job 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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

**Glassdoor Jobs Scraper** creates a structured dataset of job listings collected from [Glassdoor](https://www.glassdoor.com), the employer-review and job-search platform. Each dataset item represents one job listing and can include job title, company, rating, location, posting age, apply link, salary estimate, and a description snippet, with optional detail-page enrichment for the full description, employer profile, skills, and geographic fields. Query the source by search keywords and location, control the result limit with `maxItems`, and retrieve records through the Apify Dataset API or export them as JSON, CSV, Excel, or another supported format.

### Dataset at a glance

| Property | Value |
|---|---|
| Source | glassdoor.com (job search; 10 country editions) |
| Record unit | One job listing |
| Input methods | Keyword search (`searchQueries`) + `location`, or search URLs (`startUrls`) |
| Main identifiers | `listingId`, `jobUrl` |
| Delivery | Apify Dataset and API |
| Export formats | JSON, CSV, Excel, XML, HTML (Apify dataset exports) |
| Update model | Fresh records per Actor run |
| Pricing | $1.00 per 1,000 jobs; +$2.00 per 1,000 for job details |

### Coverage and available records

The Actor collects jobs from public Glassdoor search results using one of two entry points:

- **Search-based**: Set `searchQueries` to job keywords (for example `python` or `software engineer`) and `location` to a country, state, or city. Leave `searchQueries` empty to list all jobs for the location.
- **URL-based**: Pass Glassdoor job-search URLs in `startUrls` to scrape those pages in addition to the search terms.
- **Country editions**: `baseUrl` selects one of ten Glassdoor editions (US, DE, UK, FR, NL, CA, AU, AT, IE, IN).

Record types and limits:

- **Listing records** are always collected: job title, company, rating, location, posting age, apply link, and description snippet.
- **Detail fields** are conditional: the full job description, employer profile, skills, and geographic coordinates are returned only when `scrapeJobDetails` is enabled, which fetches each job's detail data.
- **Result cap**: `maxItems` limits the number of jobs collected (`0` means unlimited, the default). Collection stops after 500 result pages per search.

Known exclusions: the Actor collects jobs, not standalone company profiles (employer data is a byproduct of detail enrichment); content Glassdoor only shows behind login is not collected; each run captures page state at run time (no historical snapshots).

### Data dictionary

Field names below match dataset record JSON properties exactly. Fields marked *conditional* appear only when `scrapeJobDetails` is enabled.

| Field | Type | Nullable | Description | Example |
|---|---:|---|---|---|
| `listingId` | integer | No | Glassdoor job identifier; best stable deduplication key | `1010070316579` |
| `jobTitle` | string | No | Job title as listed | `JUNIOR GENAI ENGINEER (M/W/D)` |
| `normalizedJobTitle` | string | Yes | Normalized job title | `ingenieur (m/w/d)` |
| `companyName` | string | No | Company name | `Reply` |
| `companyId` | integer | Yes | Glassdoor company identifier | `306932` |
| `companyRating` | number | Yes | Average company rating (0–5) | `3.8` |
| `companyLogoUrl` | string | Yes | Company logo image URL | `https://media.glassdoor.com/sql/306932/reply-squareLogo-1680691862007.png` |
| `locationName` | string | Yes | Job location as listed | `Deutschland` |
| `locationId` | integer | Yes | Glassdoor location identifier | `96` |
| `ageInDays` | integer | Yes | Posting age in days | `134` |
| `easyApply` | boolean | No | Whether the listing supports one-click apply | `false` |
| `isSponsored` | boolean | No | Whether the listing is sponsored | `false` |
| `expired` | boolean | No | Whether the listing has expired | `false` |
| `url` | string | No | Job listing URL | `https://www.glassdoor.de/job-listing/...?jl=1010070316579` |
| `jobUrl` | string | No | Same as `url` | Same as `url` |
| `applyUrl` | string | Yes | External apply link | `https://www.glassdoor.de/partner/jobListing.htm?...` |
| `descriptionSnippet` | string | Yes | Short description snippet | `Als Junior GenAI Engineer...` |
| `jobAttributes` | string\[] | Yes | Attribute tags | `["Azure", "Cloud-Architektur", ...]` |
| `sourceQuery` | string | Yes | Search keyword that produced the record | `python` |
| `searchQuery` | string | Yes | Search keyword used | `python` |
| `searchLocation` | string | Yes | Location used in the search | `Deutschland` |
| `salaryCurrency` | string | Yes | Salary currency code | `EUR` |
| `salaryPeriod` | string | Yes | Salary period (`ANNUAL`, etc.) | `ANNUAL` |
| `salaryMedian` | number | Yes | Median salary estimate | `65000` |
| `salaryP10` | number | Yes | 10th-percentile salary estimate | `52000` |
| `salaryP90` | number | Yes | 90th-percentile salary estimate | `81000` |

Detail-enriched fields (conditional — `scrapeJobDetails`):

| Field | Type | Nullable | Description | Example |
|---|---:|---|---|---|
| `jobDescription` | string | Yes | Full job description (HTML) | Long-form HTML |
| `jobDescriptionText` | string | Yes | Full job description (plain text) | Long-form text |
| `employerIndustry` | string | Yes | Employer industry | `IT Services` |
| `employerSize` | string | Yes | Employer size bucket | `1000–5000` |
| `employerWebsite` | string | Yes | Employer website URL | `https://www.reply.com` |
| `employerHeadquarters` | string | Yes | Employer headquarters | `Turin, Italy` |
| `latitude` | number | Yes | Job latitude | `52.52` |
| `longitude` | number | Yes | Job longitude | `13.40` |
| `city` | string | Yes | Job city | `Berlin` |
| `state` | string | Yes | Job state/region | `Berlin` |
| `country` | string | Yes | Job country | `DE` |
| `skills` | string\[] | Yes | Skill tags | `["Python", "Azure", ...]` |
| `education` | string\[] | Yes | Education requirements | `["Bachelor's Degree"]` |
| `yearsOfExperience` | string\[] | Yes | Experience requirements | `["3+ years"]` |
| `jobType` | string\[] | Yes | Employment types | `["Full-time"]` |
| `jobDetails` | object | Yes | Raw detail payload, with nested `employerOverview`, `companyRatings`, `employerLinks`, `map`, and other objects | See example record |

Salary fields (`salaryMedian`, `salaryP10`, `salaryP90`) are estimates and are `0` or null when Glassdoor has no pay estimate for the listing.

### Example dataset record

Real record produced with the input below (`searchQueries: ["python"]`, `location: "Deutschland"`, `maxItems: 3`, `scrapeJobDetails: true`).

```json
{
  "listingId": 1010070316579,
  "jobTitle": "JUNIOR GENAI ENGINEER (M/W/D)",
  "normalizedJobTitle": "ingenieur (m/w/d)",
  "companyName": "Reply",
  "companyId": 306932,
  "companyRating": 3.8,
  "companyLogoUrl": "https://media.glassdoor.com/sql/306932/reply-squareLogo-1680691862007.png",
  "locationName": "Deutschland",
  "locationId": 96,
  "ageInDays": 134,
  "easyApply": false,
  "isSponsored": false,
  "expired": false,
  "url": "https://www.glassdoor.de/job-listing/junior-genai-engineer-m-w-d-reply-JV_IC5424598_KO0,23_KE306932.htm?jl=1010070316579",
  "jobUrl": "https://www.glassdoor.de/job-listing/junior-genai-engineer-m-w-d-reply-JV_IC5424598_KO0,23_KE306932.htm?jl=1010070316579",
  "applyUrl": "https://www.glassdoor.de/partner/jobListing.htm?jobListingId=1010070316579",
  "descriptionSnippet": "Als Junior GenAI Engineer ...",
  "jobAttributes": ["Azure", "Cloud-Architektur", "R"],
  "sourceQuery": "python",
  "searchQuery": "python",
  "searchLocation": "Deutschland",
  "salaryCurrency": "EUR",
  "salaryPeriod": "ANNUAL",
  "salaryMedian": 65000,
  "salaryP10": 52000,
  "salaryP90": 81000,
  "jobDescriptionText": "Als Junior GenAI Engineer ...",
  "employerIndustry": "IT Services",
  "employerSize": "1000–5000",
  "employerWebsite": "https://www.reply.com",
  "employerHeadquarters": "Turin, Italy",
  "latitude": 52.52,
  "longitude": 13.4,
  "city": "Berlin",
  "state": "Berlin",
  "country": "DE",
  "skills": ["Python", "Azure", "Machine Learning"]
}
```

The record above was produced with this input:

```json
{
  "searchQueries": ["python"],
  "location": "Deutschland",
  "maxItems": 3,
  "scrapeJobDetails": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}
```

### Query and input reference

| Input | Type | Required | Default | Accepted values | Description |
|---|---|---|---|---|---|
| `searchQueries` | array (stringList) | No | `[]` | Free-text job keywords | Job search keywords; empty lists all jobs for the location |
| `location` | string | No | `Deutschland` | Free-text country, state, or city | Job location as shown on Glassdoor |
| `baseUrl` | string | No | `https://www.glassdoor.de` | `glassdoor.com/.de/.co.uk/.fr/.nl/.ca/.com.au/.at/.ie/.co.in` | Glassdoor country edition |
| `startUrls` | array (requestListSources) | No | `[]` | Glassdoor job-search URLs | Extra search pages to scrape in addition to `searchQueries` |
| `scrapeJobDetails` | boolean | No | `true` | `true` / `false` | Fetch each job's detail data (charged as job details) |
| `detailConcurrency` | integer | No | `8` | `1`–`50` | Parallel detail requests |
| `maxItems` | integer | No | `0` | `0` or any positive integer | Maximum jobs to collect; `0` = unlimited |
| `proxyConfiguration` | object | No | Apify proxy, `RESIDENTIAL` group | Apify proxy groups or custom proxies | Residential proxies are recommended |

Minimal request:

```json
{ "searchQueries": ["software engineer"], "location": "Berlin" }
```

Advanced request with detail enrichment:

```json
{
  "searchQueries": ["data engineer"],
  "location": "Deutschland",
  "baseUrl": "https://www.glassdoor.de",
  "scrapeJobDetails": true,
  "detailConcurrency": 10,
  "maxItems": 500,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}
```

### Retrieve the data through the API

The Actor runs on the Apify platform, so there is no server to host and no crawling infrastructure to maintain.

1. Start the Actor with a JSON input (console or API).
2. Wait for the run to finish, or use a synchronous endpoint if you want the response inline.
3. Retrieve items from the run's default dataset.
4. Paginate or export the dataset.

Python example:

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR-APIFY-TOKEN")

run_input = {
    "searchQueries": ["software engineer"],
    "location": "Berlin",
    "maxItems": 20,
}

run = client.actor("datascrapers/glassdoor-jobs-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["listingId"], item["jobTitle"], item["companyName"])
```

Apify generates ready-to-run Python, JavaScript, and cURL examples on the Actor's API tab. Do not put a real API token in shared code or URLs.

### Data quality and record handling

- **Conditional fields**: detail fields are present only when `scrapeJobDetails` is enabled. Listings alone return a leaner record.
- **Salary fields**: `salaryMedian`, `salaryP10`, and `salaryP90` are estimates and are `0` or null when Glassdoor has no pay estimate for the listing.
- **Source changes**: Glassdoor page structure and values can change; unreadable fields are returned as null rather than fabricated.
- **Deduplication**: the Actor deduplicates listings within a run by `listingId`. Use `listingId` as the stable key and filter repeated runs against previously stored IDs.
- **Detail fallback**: detail fetches are best-effort; listing data is always returned even if detail enrichment fails.

### Export and pipeline examples

| Destination | Recommended method | Typical use |
|---|---|---|
| PostgreSQL / Supabase | Dataset API poll or webhook consumer | Store job listings alongside talent tables |
| Google Sheets | Apify Google Sheets integration | Share job shortlists with recruiting teams |
| CRM / ATS pipeline | Webhook on run completion | Push new listings into applicant tracking |
| S3 / cloud storage | Scheduled export via Apify scheduler + integration | Archival of labor-market snapshots |

### Pricing and cost examples

The Actor uses pay-per-event pricing with two chargeable events:

| Event | Trigger | Rate (per 1,000 jobs) |
|---|---|---|
| Job result | Every job record pushed to the dataset | $1.00 |
| Job details | `scrapeJobDetails` enabled, detail data fetched | $2.00 |

Example costs:

| Records | Configuration | Estimated base cost |
|---:|---|---:|
| 1,000 | Listing only | $1.00 |
| 10,000 | Listing only | $10.00 |
| 1,000 | Listing + details | $3.00 |
| 10,000 | Listing + details | $30.00 |

Apify paid plans reduce the per-1,000 rate (for example $0.80 per 1,000 jobs at the Gold tier). Compute units consumed by the run are billed by your Apify plan. Estimates depend on the verified pricing model and the options selected for the run.

### Limitations and responsible data use

- The Actor collects publicly accessible data from Glassdoor job-search pages only, across ten supported country editions.
- The Actor collects jobs, not standalone company profiles; employer data is a byproduct of detail enrichment.
- Salary fields are estimates and are frequently absent when Glassdoor has no pay estimate.
- Collection stops after 500 result pages per search.
- Field availability depends on what Glassdoor renders at run time; some values can be null or missing, and site changes can alter fields.
- The Actor does not provide historical snapshots unless you store them yourself.
- You are responsible for compliance with Glassdoor's terms of service, applicable privacy law, and any contractual obligations before using the data.

### Dataset questions

#### What does one dataset item represent?

One Glassdoor job listing, optionally enriched with its full detail data.

#### Which field should I use as a unique identifier?

`listingId` is the stable Glassdoor job identifier and is the recommended deduplication key. The `jobUrl` is a reasonable secondary key.

#### Are fields nullable or conditional?

Yes. Detail fields (full description, employer profile, skills, coordinates) exist only when `scrapeJobDetails` is enabled. Salary fields are `0` or null when Glassdoor has no pay estimate. Fields the listing does not render are returned as null.

#### Can I retrieve the records as CSV or JSON?

Yes. The dataset can be exported as JSON, CSV, Excel, XML, or HTML from the Apify Console, and queried through the Dataset API.

#### Does the Actor return historical data?

No. Each run captures the state of the listings at run time. To track salary or posting changes, schedule repeated runs and store the outputs yourself.

#### What counts as a billable result?

Two pay-per-event charges apply: a job-result charge for every job record ($1.00 per 1,000) and a job-details charge for each enriched job when `scrapeJobDetails` is enabled ($2.00 per 1,000).

### Related datasets from Data Scrapers

- **[StepStone Jobs Scraper](https://apify.com/datascrapers/stepstone-jobs-scraper)** — Job listings from StepStone, useful for cross-board labor-market comparison.
- **[LinkedIn Company Scraper](https://apify.com/datascrapers/linkedin-company-scraper)** — Company profiles that can be joined with Glassdoor jobs by company name.
- **[LinkedIn Profile Scraper](https://apify.com/datascrapers/linkedin-profile-scraper)** — Professional profiles for talent and hiring research.

### Data Scrapers support

Need an additional field, record type, or export workflow? Contact Data Scrapers at stardustspotlight@gmail.com. Include a sample source URL, required fields, expected record volume, and preferred delivery format.

# Actor input Schema

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

Job search keywords (e.g. "python", "software engineer"). Leave empty to list all jobs for the given location.

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

Job location as shown on Glassdoor (country, state, or city), e.g. "Deutschland", "Berlin", "New York".

## `baseUrl` (type: `string`):

Glassdoor site hostname to scrape (matches the country/language edition).

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

Optional Glassdoor job search page URLs, e.g. "https://www.glassdoor.de/Job/deutschland-python-jobs-SRCH\_IL.0,11\_IN96\_KO12,18.htm". When set, these are scraped in addition to searchQueries.

## `scrapeJobDetails` (type: `boolean`):

When enabled, fetch the full job detail API in parallel (charged separately as job-details). Listing data is always collected.

## `detailConcurrency` (type: `integer`):

Max parallel job-details requests. Each request rotates to a fresh residential proxy. e.g. 8

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

Maximum number of job records to scrape (0 = unlimited)

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

Proxy settings for anti-bot protection. Residential proxies are recommended.

## Actor input object example

```json
{
  "searchQueries": [
    "python"
  ],
  "location": "Deutschland",
  "baseUrl": "https://www.glassdoor.de",
  "startUrls": [],
  "scrapeJobDetails": true,
  "detailConcurrency": 8,
  "maxItems": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset containing scraped Glassdoor job listings

## `runStats` (type: `string`):

Aggregate scrape statistics for this run

# 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 = {
    "searchQueries": [
        "python"
    ],
    "location": "Deutschland",
    "baseUrl": "https://www.glassdoor.de",
    "maxItems": 20,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("datascrapers/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 = {
    "searchQueries": ["python"],
    "location": "Deutschland",
    "baseUrl": "https://www.glassdoor.de",
    "maxItems": 20,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("datascrapers/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 '{
  "searchQueries": [
    "python"
  ],
  "location": "Deutschland",
  "baseUrl": "https://www.glassdoor.de",
  "maxItems": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call datascrapers/glassdoor-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datascrapers/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/d91X8Iwn03GIUzAjo/builds/s9wSt4dvNpHbq9OBk/openapi.json