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

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

- **URL**: https://apify.com/scraptivo/glassdoor-jobs-scraper.md
- **Developed by:** [Scraptivo](https://apify.com/scraptivo) (community)
- **Categories:** Jobs, Developer tools, 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** collects job listings from Glassdoor and turns them into structured data for recruiting, talent-intelligence, and market-research workflows. Provide search keywords and a location, run the Actor, and export job titles, companies, ratings, salaries, skills, and full descriptions to JSON, CSV, Excel, or your preferred integration. Use it to track hiring demand, monitor competitors, and build job boards. Each job result costs $0.001, with optional full job details for an extra $0.002 per job.

### What can you automate with Glassdoor Jobs Scraper?

- **Track hiring demand** — search by keyword and location to see which roles and skills are in demand.
- **Enrich job records with full details** — enable job details to fetch the full description, skills, and employer information.
- **Monitor competitors' postings** — schedule recurring runs to watch a company's open roles.
- **Build job boards or datasets** — export listings with titles, companies, salaries, and locations.
- **Feed recruiting pipelines** — push new postings into spreadsheets, databases, or CRMs.

### Who is this scraper for?

| Team | Workflow |
|---|---|
| Recruiters and staffing agencies | Track open roles and employer demand by keyword and location. |
| Talent-intelligence teams | Analyze skills, salaries, and hiring volume across markets. |
| Market researchers | Study employer ratings, industries, and job-posting activity. |
| Job-board operators | Aggregate listings with structured fields for display. |

### What data can you collect from Glassdoor?

| Data group | Example fields | How it helps |
|---|---|---|
| Job identity | jobTitle, url, listingId, ageInDays | Identify and link the posting. |
| Employer signals | companyName, companyRating, employerIndustry, companyLogoUrl | Qualify the employer. |
| Compensation | salaryMedian, salaryCurrency, salaryPeriod | Assess pay levels. |
| Requirements | skills, jobDescriptionText, easyApply, isSponsored | Understand fit and application flow. |

Salary values can be zero or empty when Glassdoor does not publish them for a posting.

### How to use Glassdoor Jobs Scraper

1. Open the Actor in the Scraptivo account.
2. Enter search keywords and a location.
3. Choose the Glassdoor domain and set the result limit.
4. Run the Actor.
5. Export the dataset to JSON, CSV, Excel, or your integration.

```json
{ "searchQueries": ["python"], "location": "Deutschland", "baseUrl": "https://www.glassdoor.de", "scrapeJobDetails": true, "maxItems": 20 }
```

### Example workflow

#### Track Python roles in Germany every week

1. Run a "python" search for "Deutschland" every Monday.
2. Keep postings that are less than 7 days old and have a company rating above 3.5.
3. Send new records to Google Sheets or a recruiting CRM.
4. Deduplicate using the stable `listingId`.

### Automate and integrate your results

- **Schedule** daily or weekly runs per search query using Apify's Scheduler or the API.
- **Webhooks** after a successful run to trigger your downstream pipeline.
- **Export** to Google Sheets, Make, Zapier, Slack, or a database.
- **Deduplicate** using the stable `listingId` field.

```shell
curl "https://api.apify.com/v2/acts/scraptivo~glassdoor-jobs-scraper/run-sync" -H "Content-Type: application/json" -d '{"searchQueries":["python"],"location":"Deutschland","maxItems":20}'
```

### Input reference

| Field | Type | Required | Default | What it controls |
|---|---|---|---:|---|
| searchQueries | array | no | \[] | Job search keywords (empty lists all jobs for the location). |
| location | string | no | "Deutschland" | Job location as shown on Glassdoor. |
| baseUrl | string | no | glassdoor.de | Glassdoor country/language domain to scrape. |
| startUrls | array | no | \[] | Optional Glassdoor search page URLs. |
| scrapeJobDetails | boolean | no | true | Fetch full job details (charged separately). |
| detailConcurrency | integer | no | 8 | Max parallel detail requests. |
| maxItems | integer | no | 0 | Maximum job records to scrape (0 = unlimited). |
| proxyConfiguration | object | no | RESIDENTIAL | Proxy settings; residential recommended. |

### Output example

```json
{
  "listingId": 1010070316579,
  "jobTitle": "JUNIOR GENAI ENGINEER (M/W/D)",
  "companyName": "Reply",
  "companyRating": 3.8,
  "locationName": "Deutschland",
  "ageInDays": 134,
  "easyApply": false,
  "isSponsored": false,
  "url": "https://www.glassdoor.de/job-listing/junior-genai-engineer-mwd-reply-JV_KO0,25_KE26,31.htm?jl=1010070316579",
  "skills": ["Azure", "Python", "AWS", "Machine learning"],
  "employerIndustry": "IT-Kundenbetreuung",
  "sourceQuery": "python",
  "searchLocation": "Deutschland"
}
```

### How much does it cost to scrape Glassdoor?

Glassdoor Jobs Scraper uses pay-per-event billing on Apify:

- **$0.001 per job result** (the headline result event).
- **+$0.002 per job** when **Scrape Job Details** is enabled (detail fetch).
- **$0.00005 per run** for the actor-start event.

Examples: 100 job listings without details cost about $0.10; 1,000 listings with details cost about $3.00 plus the start fee. Residential proxy traffic is billed separately by Apify according to your plan.

### Reliability and responsible use

- Residential proxies are enabled by default for anti-bot protection.
- Job listings are always collected; full descriptions and skills require `scrapeJobDetails` enabled.
- Salary fields can be zero or empty when Glassdoor does not publish compensation for a posting.
- Scrape only public job data and follow Glassdoor's terms of service.

### Frequently asked questions

#### Can I scrape a specific company's jobs from Glassdoor?

Yes. Use a company name as a `searchQueries` value, or paste that company's Glassdoor search `startUrls`.

#### Can I schedule Glassdoor Jobs Scraper to run automatically?

Yes. Use Apify's Scheduler or the API to run a search query and location on a daily or weekly cadence.

#### What counts as one result?

One job listing. If **Scrape Job Details** is enabled, each detail fetch adds a separate `job-details` event.

#### Why are some salary fields zero?

Glassdoor only reports compensation when it has enough data; when it does not, `salaryMedian` returns 0.

#### How do I avoid duplicate records?

Deduplicate on the stable `listingId` field before writing to your CRM or database.

#### Do I need a proxy?

Residential proxies are recommended and enabled by default to avoid bot detection.

### Related Scraptivo automations

- [LinkedIn Job Scraper](https://apify.com/scraptivo/linkedin-job-scraper) — job postings from LinkedIn.
- [Upwork Jobs Scraper](https://apify.com/scraptivo/upwork-jobs-scraper) — freelance job listings with search filters.
- [LinkedIn Company Scraper](https://apify.com/scraptivo/linkedin-company-scraper) — company profiles and details from LinkedIn.

### Support and custom workflows

Need a different field, source, or delivery workflow? Contact Scraptivo at scraptivo@gmail.com. Include the Actor name, a sample URL, the required fields, and expected volume so we can assess the request.

# 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("scraptivo/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("scraptivo/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 scraptivo/glassdoor-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scraptivo/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/DHQ7pTtJuLh5Hbr4y/builds/qeNHHdLW1glP2d5S6/openapi.json