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

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

- **URL**: https://apify.com/rigelbytes/glassdoor-jobs-scraper.md
- **Developed by:** [Rigel Bytes](https://apify.com/rigelbytes) (community)
- **Categories:** Jobs, Lead generation, 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

Extract job listings from Glassdoor by search query and location across 10 country editions (US, Germany, UK, France, Netherlands, Canada, Australia, Austria, Ireland, India) — with salary estimates, company ratings, skills, and optional full job description enrichment. Power your market research, salary benchmarking, and automated job monitoring — for just **$1.00 per 1,000 job listings**, with full job details at **$2.00 per 1,000** only when you need them.

***

### What can Glassdoor Jobs Scraper do for you?

- **Build targeted job databases** — Collect Glassdoor listings matching your keywords (e.g. "python", "software engineer") in any supported country, with location filtering by country, state, or city.
- **Benchmark salaries by role and market** — Get Glassdoor salary estimates (median, P10, P90, currency, and pay period) for every listing — ideal for compensation research and HR analytics.
- **Monitor hiring trends and competitor activity** — Track job volumes, sponsored postings, Easy Apply availability, and posting recency to spot growing demand for skills and roles.
- **Enrich listings with full job descriptions** — Optionally fetch the complete job detail API in parallel (residential-proxy-backed) for descriptions, employer industry, size, website, headquarters, and coordinates.
- **Automate job discovery workflows** — Feed clean structured data into CRMs, analytics dashboards, or alert systems so you never miss relevant openings.
- **Export clean structured data** — Get titles, companies, salaries, locations, skills, and URLs in JSON, CSV, or Excel — ready for analysis or integration.

### What data can you extract from Glassdoor?

| Field | Description |
|-------|-------------|
| 🆔 **Listing ID** | Unique Glassdoor job identifier |
| 📰 **Job Title** | Listing title plus normalized title |
| 🏢 **Company** | Name, Glassdoor rating, and logo URL |
| 📍 **Location** | Location name, city, state, and country |
| 💰 **Salary** | Median, P10, and P90 estimates with currency and pay period |
| 🕐 **Posting Age** | How many days ago the job was posted |
| ⚡ **Easy Apply** | Whether the job supports Glassdoor Easy Apply |
| 📌 **Sponsored** | Whether the listing is a sponsored ad |
| 🛠️ **Skills & Attributes** | Job attributes like technologies, languages, and benefits |
| 📝 **Description** | Snippet always included; full description with detail enrichment |
| 🏭 **Employer Info** | Industry, size, website, and headquarters (with details) |
| 🌍 **Geo Coordinates** | Latitude and longitude of the job location (with details) |
| 🔗 **URLs** | Direct job URL and apply URL |
| 🔍 **Source Context** | Search query and location that returned the listing |

### Why use this scraper?

- **🔬 Market Research** — Analyze job volumes, salary ranges, and skill demand across countries and locations to identify hiring hotspots and in-demand roles.
- **📡 Competitive Monitoring** — Track which companies are hiring, for what, and how much they pay — invaluable for recruitment agencies and staffing firms.
- **💰 Salary Benchmarking** — Compare median salaries and pay ranges by role and region to make data-driven compensation decisions.
- **🤖 Workflow Automation** — Build automated pipelines that alert you to new matching jobs, enrich CRM records, or feed analytics dashboards.
- **📊 Data-Driven Decisions** — Use structured data on skills, employers, and locations to guide hiring, career, or market-entry strategies.

### Pricing

- **$1.00 / 1,000 job listings** — Pay only for what you scrape.
- **$2.00 / 1,000 job details** — Full job description enrichment, charged only when you enable it.
- **Apify plan discounts** — Listings: Bronze $0.90, Silver $0.80, Gold $0.80 per 1,000. Job details: Bronze $1.90, Silver $1.80, Gold $1.70 per 1,000.
- No hidden fees or limits on usage.

***

### How to use Glassdoor Jobs Scraper

1. **Create an Apify account** — Sign up at [apify.com](https://apify.com) (free tier included).
2. **Open the Glassdoor Jobs Scraper** — Navigate to the actor page in Apify Console.
3. **Enter your search queries** — Add one or more keywords like "python", "data engineer", or "marketing manager".
4. **Set your location** — Pick a country, state, or city (e.g. "Deutschland", "Berlin", "New York") and the matching Glassdoor domain.
5. **Start the scraper** — Click "Run" and the actor will collect matching listings using residential proxies.
6. **Download your data** — Export results as JSON, CSV, Excel, or HTML from the Apify dataset.

### Input

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `searchQueries` | `string[]` | No | Job search keywords (e.g. `["python"]`). Leave empty to list all jobs for the location |
| `location` | `string` | No | Location as shown on Glassdoor — country, state, or city (default: `"Deutschland"`) |
| `baseUrl` | `string` | No | Glassdoor domain to scrape — pick from 10 country editions (default: `https://www.glassdoor.de`) |
| `startUrls` | `string[]` | No | Optional Glassdoor job search page URLs to scrape in addition to `searchQueries` |
| `scrapeJobDetails` | `boolean` | No | Fetch full job detail API in parallel (default: `true`, charged separately as job details) |
| `detailConcurrency` | `integer` | No | Max parallel job-details requests, 1–50 (default: `8`) |
| `maxItems` | `integer` | No | Max job records to scrape, `0` = unlimited (default: `0`) |
| `proxyConfiguration` | `object` | No | Proxy settings (default: Apify residential proxy) |

#### 📝 Copy for Use:

```json
{
  "searchQueries": ["python"],
  "location": "Deutschland",
  "baseUrl": "https://www.glassdoor.de",
  "scrapeJobDetails": true,
  "detailConcurrency": 5,
  "maxItems": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}
```

### Output

![Glassdoor Jobs Scraper](https://github.com/faizanalii/apify-images/blob/main/Glassdoor%20Jobs%20Scraper.gif?raw=true)

### Why Choose This Scraper?

- **Affordable**: Pay only $1.00 per 1,000 job listings scraped — plus $2.00 per 1,000 only if you enable full job-detail enrichment — with additional discounts on Bronze/Silver/Gold Apify plans.
- **Comprehensive**: Salary estimates, company ratings, skills, Easy Apply status, sponsored flags, and optional full descriptions across 10 Glassdoor country editions.
- **Easy to Use**: Simple JSON input — just add keywords and a location, then run. No browser setup or infrastructure needed.
- **Reliable**: Uses residential proxies with fresh IP rotation per details request, automatic retries, and pagination for consistent extraction at scale.

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#### Running via Apify Console

You can run this actor from the Apify Console by providing the necessary input parameters.

#### Running via API

You can trigger this actor using the Apify API, passing the required input in the request body.

### API Examples

#### Python

```shell
from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("rigelbytes/glassdoor-jobs-scraper").call(
    run_input={
        "searchQueries": ["python"],
        "location": "Deutschland",
        "baseUrl": "https://www.glassdoor.de",
        "scrapeJobDetails": True,
        "detailConcurrency": 5,
        "maxItems": 10,
        "proxyConfiguration": {
            "useApifyProxy": True,
            "apifyProxyGroups": ["RESIDENTIAL"]
        }
    }
)

dataset = client.dataset(run["defaultDatasetId"]).list_items().items
print(dataset)
```

#### JavaScript

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

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('rigelbytes/glassdoor-jobs-scraper').call({
    searchQueries: ['python'],
    location: 'Deutschland',
    baseUrl: 'https://www.glassdoor.de',
    scrapeJobDetails: true,
    detailConcurrency: 5,
    maxItems: 10,
    proxyConfiguration: {
        useApifyProxy: true,
        apifyProxyGroups: ['RESIDENTIAL']
    }
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

#### cURL

```shell
curl -X POST "https://api.apify.com/v2/acts/rigelbytes/glassdoor-jobs-scraper/runs?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "searchQueries": ["python"],
    "location": "Deutschland",
    "baseUrl": "https://www.glassdoor.de",
    "scrapeJobDetails": true,
    "detailConcurrency": 5,
    "maxItems": 10,
    "proxyConfiguration": {
      "useApifyProxy": true,
      "apifyProxyGroups": ["RESIDENTIAL"]
    }
  }'
```

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- **[Wüstenrot Immobilien Scraper — German Property Listings API](https://apify.com/rigelbytes/wuestenrot-immobilien)** — Scrape property listings and market data from real estate portals for market research, price monitoring, and investment analysis.
- **[Zillow Detail Scraper](https://apify.com/rigelbytes/zillow-detail-scraper)** — Scrape property listings and market data from Zillow for market research, price monitoring, and investment analysis.
- **[Zillow Scraper](https://apify.com/rigelbytes/zillow-scraper)** — Scrape property listings and market data from Zillow for market research, price monitoring, and investment analysis.
- **[Zoopla Scraper](https://apify.com/rigelbytes/zoopla-scraper)** — Scrape property listings and market data from Zoopla for market research, price monitoring, and investment analysis.

#### ✈️ Travel & Hospitality

Monitor rentals, bookings, and travel listings at scale.

- **[Autotrader Scraper](https://apify.com/rigelbytes/autotrader-scraper)** — Scrapes car listings from Autotrader.com with advanced search filters, pagination, and detailed vehicle data.
- **[CarMax Scraper](https://apify.com/rigelbytes/carmax-scraper)** — Scrapes used car listings from CarMax.com with search URL, zip code filtering, and pagination support.
- **[Cars.com Scraper](https://apify.com/rigelbytes/cars-scraper)** — Scrapes car listings from Cars.com using their GraphQL API. Extracts detailed vehicle data including price, specs,...
- **[Cars & Bids Scraper](https://apify.com/rigelbytes/carsandbids-scraper)** — Scrape live, upcoming, and past car auctions from Cars & Bids. Extract vehicle details, bids, photos, comments, and...
- **[Ticketmaster Scraper](https://apify.com/rigelbytes/ticketmaster-scraper)** — Collect rental and travel listings from Ticketmaster for pricing intelligence and availability tracking.

#### 🛒 E-commerce

Scrape products, prices, and marketplace data for competitive research.

- **[Amazon Product Scraper](https://apify.com/rigelbytes/amazon-product-scraper)** — Scrape products, prices, and seller data from Amazon for competitor monitoring, pricing, and product research.
- **[Amazon Search Scraper](https://apify.com/rigelbytes/amazon-scraper)** — Scrape products, prices, and seller data from Amazon for competitor monitoring, pricing, and product research.
- **[AutoScout24 Scraper](https://apify.com/rigelbytes/autoscout24-scraper)** — Scrape car listings from AutoScout24 with full filter support. Extract makes, models, prices, mileage, seller info,...
- **[Best Buy Product Scraper](https://apify.com/rigelbytes/best-buy-scraper)** — Scrape Best Buy US and Canada products by search query, category URL, or SKU. Optionally enrich each item with full...
- **[Daraz](https://apify.com/rigelbytes/daraz)** — Scrape products, prices, and seller data from Daraz for competitor monitoring, pricing, and product research.
- **[Etsy Scraper](https://apify.com/rigelbytes/etsy-scraper)** — Scrape products, prices, and seller data from Etsy for competitor monitoring, pricing, and product research.
- **[Homedepot Scraper](https://apify.com/rigelbytes/homedepot-scraper)** — HomeDepot Products Scraper lets you extract product data from homedepot.com using a collection URL and delivery ZIP....
- **[Kleinanzeigen Scraper](https://apify.com/rigelbytes/kleinanzeigen-scraper)** — Scrape listings from kleinanzeigen.de — search results and detail pages for any category (electronics, vehicles,...
- **[Otodom Scraper - Polish Real Estate Listings](https://apify.com/rigelbytes/otodom-scraper)** — Scrapes property listings from Otodom.pl, Poland's leading real estate marketplace. Supports filters for transaction...
- **[Zalando Product Scraper](https://apify.com/rigelbytes/zalando-scraper)** — Scrape product listings and optional product details from Zalando category pages and search queries.

#### 💼 Jobs & Recruitment

Collect job listings and company hiring data for market analysis.

- **[StepStone Jobs Scraper — Extract German/DACH Job Listings](https://apify.com/rigelbytes/stepstone-jobs-scraper)** — Scrape thousands of job listings from StepStone (DE, AT, BE, NL) with salary, skills, remote status & more. From...
- **[Upwork Jobs Scraper](https://apify.com/rigelbytes/upwork-jobs-scraper)** — Scrapes Upwork freelance job listings by keyword with full search filters (sort, experience, job type, budget,...
- **[ZipRecruiter Job Scraper](https://apify.com/rigelbytes/ziprecruiter-scraper)** — Scrape job listings from ZipRecruiter with search queries, locations, and radius filters. Extracts title, company,...

#### 📩 Lead Generation

Find business contacts, leads, and company data for sales and outreach.

- **[Booli.se Scraper](https://apify.com/rigelbytes/booli-se-scraper)** — Scrapes Swedish real estate listings from Booli.se — for sale, sold prices, and new construction. Supports search...
- **[Company Service Finder](https://apify.com/rigelbytes/company-service-finder)** — The Company Service Finder uses AI to extract and analyze company services from Google Search & Maps. Get detailed...
- **[Doctify Scraper](https://apify.com/rigelbytes/doctify-scraper)** — Doctify Scraper lets you extract doctor and practice data from doctify.com using a search results URL. Collect...
- **[Doctolib Scraper](https://apify.com/rigelbytes/doctolib-scraper)** — Scrape doctor profiles, availability, and practice details from Doctolib.de — Germany's largest medical appointment...
- **[FindLaw Law Firm Scraper - Attorney & Law Firm Data Extraction](https://apify.com/rigelbytes/findlaw-scraper)** — Scrape law firm profiles from FindLaw.com. Extract detailed attorney and firm information including contact details,...
- **[Finn.no Real Estate Scraper](https://apify.com/rigelbytes/finn-no-scraper)** — Scrape Norwegian real-estate listings from Finn.no with search URL or filter-based discovery, optional full details...
- **[Google Maps Scraper](https://apify.com/rigelbytes/google-maps-scraper)** — Find business leads and contact details from Google Maps for outbound sales, prospecting, and CRM enrichment.
- **[Krogsveen.no Real Estate Scraper](https://apify.com/rigelbytes/krogsveen-no-scraper)** — Scrape Norwegian real-estate listings from Krogsveen.no with search URL or filter-based discovery, optional full...
- **[LeadRocks Scraper](https://apify.com/rigelbytes/leadrocks-scraper)** — Export filtered B2B leads from the LeadRocks dataset by category, state, job title, company, and industry. Free...
- **[Website Services Finder](https://apify.com/rigelbytes/website-services-finder)** — Automatically extract and analyze company services from any business website using advanced AI. Choose from 5 AI...
- **[Zillow Agents](https://apify.com/rigelbytes/zillow-agents)** — Find business leads and contact details from Zillow for outbound sales, prospecting, and CRM enrichment.
- **[Zillow Agents Phone](https://apify.com/rigelbytes/zillow-agents-phone)** — Find business leads and contact details from Zillow for outbound sales, prospecting, and CRM enrichment.
- **[Zillow Agents Vault](https://apify.com/rigelbytes/zillow-agents-vault)** — Find business leads and contact details from Zillow for outbound sales, prospecting, and CRM enrichment.

#### ⭐ Reviews & Ratings

Monitor reviews and reputation data across review platforms.

- **[Airbnb Listing Reviews](https://apify.com/rigelbytes/airbnb-listing-reviews)** — Collect reviews and ratings from Airbnb for reputation monitoring and customer insights.
- **[BBB Scraper](https://apify.com/rigelbytes/bbb-scraper)** — Collect reviews and ratings from BBB for reputation monitoring and customer insights.
- **[Costco Product Scraper](https://apify.com/rigelbytes/costco-scraper)** — Scrapes product data from Costco.com including prices, descriptions, ratings, and availability. Supports search...
- **[HRS Hotel Reviews Scraper](https://apify.com/rigelbytes/hrs-hotel-reviews-scraper)** — Extract hotel details, room offers, and guest reviews from HRS hotel URLs.
- **[HRS Hotel Scraper](https://apify.com/rigelbytes/hrs-scraper)** — Scrapes hotel listings, prices, ratings, and amenities from HRS (hrs.com) by location and travel dates.
- **[Rottentomatoes Reviews Scraper](https://apify.com/rigelbytes/rottentomatoes-reviews-scraper)** — Collect reviews and ratings from Rotten Tomatoes for reputation monitoring and customer insights.
- **[Trustpilot Reviews Scraper](https://apify.com/rigelbytes/trustpilot-reviews)** — Collect reviews and ratings from Trustpilot for reputation monitoring and customer insights.
- **[Yelp Scraper](https://apify.com/rigelbytes/yelp-scraper)** — Scrape Yelp business listings by search term, category, location, or URL. Optional full business details with phone,...

#### 🍔 Food & Delivery

Extract restaurant, grocery, and delivery platform data.

- **[Instacart Scraper](https://apify.com/rigelbytes/instacart-scraper)** — Scrape menus, stores, and delivery data from Instacart for data-driven research and automation.
- **[Lidl Product Scraper](https://apify.com/rigelbytes/lidl-scraper)** — Scrape Lidl supermarket products across Europe by search query or category/product URL. Optionally enrich each item...
- **[Publix Scraper](https://apify.com/rigelbytes/publix-scraper)** — Scrape menus, stores, and delivery data from Publix for data-driven research and automation.

#### 📰 News & Media

Scrape news, articles, and media content for research.

- **[SEC IPO Event Intelligence](https://apify.com/rigelbytes/ipo-events-api)** — Monitors SEC EDGAR for IPO filings and converts them into structured business events, with optional AI company...
- **[SEC Filings Scraper](https://apify.com/rigelbytes/sec-filings-intelligence)** — Retrieve clean, normalized SEC EDGAR filing data by ticker, CIK, or company name — with document links, optional...

#### 🛠️ Developer Tools

General-purpose scraping and automation tools.

- **[EU Tenders Scraper](https://apify.com/rigelbytes/eu-tenders-scraper)** — Scrape EU public procurement notices from TED (Tenders Electronic Daily) with advanced search filters,...
- **[Web Crawler](https://apify.com/rigelbytes/webcrawler)** — This web crawler is designed to provide users with complete flexibility by allowing them to use their \*\*own...

### Understanding Proxies:

When scraping data or browsing anonymously, proxies are essential. They act as intermediaries, masking your original IP address and allowing you to send requests from another location.

#### Why Use Proxies?

- Avoid IP Blocks: By routing requests through proxies, you prevent the target website from recognizing your IP as a scraper or spammer.
- Access Geo-restricted Content: Proxies let you access content or websites restricted by location.
- Enhance Anonymity: Hide your actual IP, ensuring privacy while scraping or browsing.

#### Types of Proxies

1. Residential Proxies
   - Real IP addresses provided by ISPs to home users.
   - They mimic regular users, making them harder to detect.
   - Best for: Long-term, undetectable scraping, and avoiding blocks.
2. Data Center Proxies
   - IP addresses from servers in data centers.
   - Faster and cheaper than residential proxies but easier to detect and block.
   - Best for: High-speed scraping, but with a higher risk of detection.
3. Mobile Proxies
   - IPs provided by mobile carriers (3G/4G/5G networks).
   - Very difficult to detect, as they appear as regular mobile users.
   - Best for: Mobile-related scraping or avoiding sophisticated blocks.

#### Rotating Proxies vs. Straight Proxies

- Rotating Proxies: Every request you send goes through a different proxy, making it harder for websites to detect patterns.
- Straight Proxies: All requests are sent through the same proxy, making it easier to track your IP.

### About Rigel Bytes

Rigel Bytes specializes in web scraping, automation, and data analytics. We help businesses extract and leverage valuable data for informed decision-making.

### Contact Us

Ready to unlock the power of data? Reach out to us at (contact@rigelbytes.com) or [book an appointment](https://cal.com/faizanali/appointments) with us to learn more about how we can help you achieve your data goals.

### Detailed Data

Below is a sample of the JSON output produced by the Glassdoor Jobs Scraper:

```json
[
  {
    "listingId": 1010135832503,
    "jobTitle": "DevOps / Platform Engineer (m/w/d)",
    "companyName": "digital.manufaktur GmbH",
    "companyRating": null,
    "locationName": "Hannover",
    "ageInDays": 76,
    "easyApply": true,
    "isSponsored": true,
    "expired": false,
    "url": "https://www.glassdoor.de/job-listing/devops-platform-engineer-mwd-digital-manufaktur-gmbh-JV_IC2651024_KO0,28_KE29,52.htm?jl=1010135832503",
    "descriptionSnippet": "Sie läuft als segmentierte Multi-Tenant-Umgebung auf hybrider Infrastruktur (Bare Metal und Cloud) — mit starkem Fokus auf saubere Mandantentrennung,…",
    "jobAttributes": ["CI/CD", "Docker", "Kubernetes", "Python", "Linux"],
    "sourceQuery": "python",
    "searchLocation": "Deutschland",
    "salaryCurrency": "EUR",
    "salaryPeriod": "ANNUAL",
    "salaryMedian": 65000,
    "salaryP10": 55000,
    "salaryP90": 75000
  },
  {
    "listingId": 1010200489949,
    "jobTitle": "Senior LAN-Netzwerkarchitekt* für kritische Infrastrukturen",
    "companyName": "DFS Deutsche Flugsicherung GmbH",
    "companyRating": 4.3,
    "locationName": "Langen (Hessen)",
    "ageInDays": 16,
    "easyApply": false,
    "isSponsored": true,
    "url": "https://www.glassdoor.de/job-listing/senior-lan-netzwerkarchitekt-für-kritische-infrastrukturen-dfs-deutsche-flugsicherung-JV_IC4991587_KO0,58_KE59,85.htm?jl=1010200489949",
    "descriptionSnippet": "Geben Sie Ihrer Zukunft die passende Flughöhe. Senior LAN-Netzwerkarchitekt* für kritische Infrastrukturen. Konzeption, Implementierung und Optimierung Fabric-…",
    "jobAttributes": ["Ansible", "Terraform", "API", "Python", "CI/CD"],
    "sourceQuery": "python",
    "searchLocation": "Deutschland",
    "salaryCurrency": "EUR",
    "salaryPeriod": "ANNUAL",
    "salaryMedian": 90000,
    "salaryP10": 70000,
    "salaryP90": 110000
  }
]
```

# 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("rigelbytes/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("rigelbytes/glassdoor-jobs-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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 rigelbytes/glassdoor-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=rigelbytes/glassdoor-jobs-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/wb7frRretgbOjcDQe/builds/Jf26VIPJ1xYUKsuvC/openapi.json
