Pricing

from $5.00 / 1,000 results

Glassdoor Jobs Scraper

Scrape Glassdoor company job listings by company ID or name. Extract job titles, salaries, locations, easy apply status, job functions, and more. Filter by job function, location, recency, and sort order. Perfect for job market research and recruitment intelligence.

Pricing

from $5.00 / 1,000 results

Rating

0.0

(0)

Developer

Kevin

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Categories

Jobs

Automation

Developer tools

You can access the Glassdoor Jobs Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "company_id": 1651,
10    "sort": "MOST_RELEVANT",
11    "job_function": "ANY",
12    "location_type": "ANY",
13    "max_age_days": 0,
14    "domain": "www.glassdoor.com",
15    "maxResults": 20,
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("burbn/glassdoor-jobs-scraper").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
23for item in client.dataset(run["defaultDatasetId"]).iterate_items():
24    print(item)
25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Glassdoor Jobs Extractor | Scrape Jobs from 20+ Countries API in Python

The Apify API client for Python is the official library that allows you to use Glassdoor Jobs Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Glassdoor Jobs Scraper API in JavaScript

Glassdoor Jobs Scraper API through CLI

Glassdoor Jobs Scraper OpenAPI definition

Glassdoor Jobs Scraper API

🔥 Glassdoor jobs scraper

bebity/glassdoor-jobs-scraper

ℹ️ Elevate your job search with the sleek Glassdoor Scraper for Apify. Tailor-made for the modern job seeker, it's your secret weapon in the job market. Dive into a world of opportunities with custom searches, precise filtering. Fast, efficient, and incredibly user-friendly 🚀✨

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(3)

📄 Glassdoor Jobs Scraper

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154

Glassdoor Jobs Scraper Ppr

silentflow/glassdoor-jobs-scraper-ppr

Extract Glassdoor job listings with salary ranges, company ratings, remote status, and 30+ structured fields per job. Search across 23 countries with filters for job type, seniority, remote work, salary range, industry, and company size. Multi-keyword search with automatic deduplication included.

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Glassdoor Jobs Scraper

getdataforme/glassdoor-jobs-scraper

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GetDataForMe

Glassdoor Jobs Scraper | Enterprise-Grade

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Extract structured Glassdoor job listings with titles, descriptions, salaries, company data, ratings, and employer insights. Built for enterprise-grade hiring intelligence, labor market analysis, and automated recruiting or analytics pipelines.

Fatih Tahta

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silentflow/glassdoor-jobs-scraper

Extract Glassdoor job listings with salary ranges, company ratings, remote status, and 30+ structured fields per job. Search across 23 countries with advanced filters for job type, seniority level, remote work, salary range, industry, and company size. Multi-keyword search with deduplication.

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Glassdoor Jobs Scraper

crawlerbros/glassdoor-jobs-scraper

Scrape job listings from Glassdoor by keyword, location, or company URL. Extracts job title, company, salary estimates, location, skills, and more.

Crawler Bros

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(17)

Glassdoor Jobs & Reviews Scraper

cryptosignals/glassdoor-scraper

Scrape Glassdoor company reviews and job listings without authentication. Extract ratings, review text, pros/cons, company info, salary data, and interview questions. Filter by company or location. Great for employer research. Export to JSON/CSV.

Web Data Labs