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Glassdoor
Scraping Teardown

Find out everything you need to know to reliably scrape Glassdoor,
including scraping guides, Github Repos, proxy performance and more.

Glassdoor Web Scraping Overview

Glassdoor implements multiple layers of protection to prevent automated data extraction. This section provides an overview of its anti-bot systems and common challenges faced when scraping, along with insights into how these protections work and potential strategies to navigate them.

Scraping Summary

Glassdoor is a website where current and former employees anonymously review companies. It also lists job advertisements and company profiles. From a web scraping perspective, it is somewhat popular due to the valuable job, company, and review data it provides. However, Glassdoor uses moderate to strong anti-scraping systems, making bots detection a challenge. Scrapping Glassdoor can involve multiple approaches like usage of proxies or rotation of user-agents to avoid detection. Parsing data can moderately be challenging as Glassdoor uses dynamic CSS and content is dynamically loaded when scrolling pages. Data extraction can be difficult as some of the content might be behind login and geolocated.

9 / 10

Scraping Difficulty
The difficulty score indicates how easy the website is to scrape.

Best Glassdoor Proxies

Proxy statistics and optimal proxy providers for scraping Glassdoor. Learn which proxy types work best, their success rates, and how to minimize bans with the right provider.

P

Proxy API Providers

Compare the top proxy providers for scraping Glassdoor. See which providers offer the best performance, success rates, and value for your web scraping needs.

Best Provider:
ScrapeStack
Cost Per Million:
$79
Success Rate:
3%
Avg. Success Latency:
5.8s

ScrapeOps Proxy API Aggregator

Use over 20+ web scraping proxy API providers from a single proxy port. The ScrapeOps Proxy API Aggregator automatically selects the best-performing and most cost-effective provider for each request, continuously monitors performance, and switches providers if one gets blocked. Never worry about CAPTCHAs or bans again—we handle it all automatically.

Proxy API Comparison

Compare multiple proxy providers side-by-side using the last 7 days of Glassdoor proxy performance data gathered with the ScrapeOps Proxy API Aggregator.

Best Provider
ScrapeStack
Best Performance
ScraperAPI
Best Success Rate
Scrapingfish
Cheapest
ScrapeStack
Proxy ProviderEnabled Functionality
Cost/
Performance Score
Success Rate
Avg. Success
Latency
API Credits
CPM
Provider Plan
ScrapeOpsAccess all providers above through the ScrapeOps Proxy API Aggregator. We automatically match you to the best provider for each request. Learn more →
ScrapeStack-12.33%5.8s1 credit$79
Basic
($19/month)
Zyte API-10.697%8.5sTier 5$950
$100 Plan
($100/month)
Scrape.Do
JS Rendering
7.975%16.3s5 credits$990
Pro
($99/month)
Scrapingdog
JS Rendering
7.855%6.6s5 credits$450
Standard
($90/month)
ScraperAPI-7.392%5.4s10 credits$1,490
Startup
($149/month)
ScrapingBee-6.817%6.7s1 credit$327
Freelance
($49/month)
Zenscrape
Residential
3.893%24.9s20 credits$1,660
Large
($249/month)
ZenRows
ResidentialJS Rendering
1.643%14.9s25 credits$2,500
Business
($299/month)
Scrapingant
Residential
0.612%29.0s25 credits$2,075
Business
($249/month)
R

Residential Proxy Providers

Compare the top residential and mobile proxy providers for scraping Glassdoor. See which providers offer the best performance, success rates, and value for your web scraping needs.

Best Provider:
Coming Soon
Cost Per Million:
Coming Soon
Success Rate:
Coming Soon
Avg. Success Latency:
Coming Soon

ScrapeOps Residential Proxy Aggregator

Use over 20+ residential & mobile proxy providers from a single proxy port. The ScrapeOps Residential Proxy Aggregator automatically selects the best-performing and most cost-effective provider for each request, continuously monitors performance, and switches providers if one gets blocked. Never worry about CAPTCHAs or bans again—we handle it all automatically.

Residential Proxy Performance Comparisons

We're working on bringing you comprehensive residential and mobile proxy provider comparisons. Check back soon for detailed statistics, performance metrics, side-by-side comparisons, and recommendations to help you choose the best residential proxy provider for scraping Glassdoor.

Glassdoor Anti-Bots

Anti-scraping systems used by Glassdoor to prevent web scraping. These systems can make it harder and more expensive to scrape the website but can be bypassed with the right tools and strategies.

Detected 1 Anti-bot system

Cloudflare

Cloudflare provides CDN, cloud cybersecurity, and DDoS mitigation services. Bypassing Cloudflare's protections depends heavily on the which Cloudflare services the website has enabled and the settings they have them set to.

8/ 10

Bypass Difficulty

Bypass Options

Glassdoor Data

Explore the key data types available for scraping and alternative methods such as public APIs, to streamline your web data extraction process.

Data Types

No data types found

Public APIs

Not Available
Free API

API Description

Glassdoor does not offer a public API for data extraction. This means that access to its public data such as company reviews, salary information, and job listings is limited. While the website provides a comprehensive database for job seekers and researchers, the lack of a public API restricts the capability of users to access this data on a large scale for purposes like market analysis, company review assessment, and job market trend evaluation.

Access Requirements

There are no access requirements as a public API is not available.

API Data Available

There is no API data available.

Why People Use Web Scraping?

A lack of a public API leaves web scraping as the primary method to extract structured data from Glassdoor. This approach allows for the mining of company reviews, salary information, and job postings that are open to public view. However, it's worth noting that scraping Glassdoor is generally against the platform's terms of service, often leading to legal and ethical concerns. It's advised that any scraping activities take place with respect for the site's rules, and consideration for individual privacy rights. Ultimately, while scraping offers a workaround, it's not an officially supported or reliable means of accessing the data.

Glassdoor Lawsuits

Legal Actions Against Scrapers: A history of lawsuits filed by the website owner against scrapers and related entities, highlighting legal disputes, claims, and outcomes.

Lawsuits Summary

Glassdoor has been involved in one legal dispute related to web scraping, targeting a company or individual who scraped its product data, pricing information, or customer reviews without authorization.

Found 1 lawsuits

Glassdoor v. Scraping Company
unknown

In this case, Glassdoor filed a lawsuit against an unnamed scraping company for unlawfully accessing its website and extracting data without authorization. The data in question included user-generated reviews and salary information, which are considered private despite being publicly accessible on the site under specific terms of service.

Plaintiff

Glassdoor, Inc.

Defendant

Unnamed Scraping Company

Date filed

15 Jun 2023 - Ongoing

Legal Basis
Unauthorized Access

Glassdoor Github Repos

Find the best open-source scrapers for Glassdoor on Github. Clone them and start scraping straight away.

Language
Code Level
Stars
Last updated 1 year ago

This scraper is a tool designed to extract reviews from Glassdoor, serving users who need access to review data from a platform lacking a public API. It efficiently compiles review information into a CSV format, allowing users to set their desired limits and date ranges for scraping.


Page Types: Review Page

Language:
python
Code Level:
immediate
Created
7 years ago
193 Stars
260 Forks
Unmaintained
Last updated 1 year ago

Glassdoor job scraper is a tool that enables users to extract information from job listings on the Glassdoor website. It scrapes data such as job links, roles, companies, and descriptions, which can be utilized for analysis and insights.


Page Types: Job Page, Job List

Language:
python
Code Level:
immediate
Created
6 years ago
70 Stars
31 Forks
Last updated 2 years ago

Actor is a jobs and salaries scraper that retrieves detailed job listings and company reviews from Glassdoor without requiring a user login. It allows users to search for jobs and companies and extract salary estimates effectively.


Page Types: Job Page, Job List

Language:
javascript
Code Level:
immediate
Created
6 years ago
17 Stars
9 Forks
Last updated 6 years ago

Glassdoor Scraper is a tool that extracts job listings from Glassdoor. It retrieves job IDs and detailed information for various positions and saves the results in JSON format for further processing.


Page Types: Job Page, Job List

Language:
python
Code Level:
immediate
Created
6 years ago
33 Stars
8 Forks
Unmaintained
Last updated 6 years ago

glassdoor is a job and company review platform that provides insights into salaries, job listings, and company cultures. It enables users to research and compare companies based on reviews from current and former employees.


Page Types: Job Page, Job List, Company Review Page

Language:
python
Created
6 years ago
97 Stars
28 Forks
Unmaintained
Last updated 7 years ago

glassdoorScraper is a tool designed for scraping data from Glassdoor that facilitates the extraction of company reviews and ratings. It includes features such as utilizing a SQLite database for storage and aims to improve scraping speed while handling user agent issues.


Page Types: Review Page

Language:
python
Code Level:
immediate
Created
8 years ago
12 Stars
10 Forks
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Glassdoor Web Scraping Articles

Find the best web scraping articles for Glassdoor. Learn how to get started scraping Glassdoor.

Language
Code Level

How to Scrape Glassdoor: Job Titles, Salaries, and Company Ratings | ScrapingBee

This guide shows how to extract job titles, salaries, and company ratings from Glassdoor using ScrapingBee's API that simplifies web scraping. It covers the entire process from setting up the environment to exporting data in various formats while dealing with dynamic content and anti-bot measures.

python

1 min to read

scrapingbee.com

Glassdoor scraping 101: How to scrape data from Glassdoor

This article shows how to efficiently scrape data from Glassdoor, including reviews, job listings, and company details, without using the Glassdoor API. It provides step-by-step instructions to build a scraper while discussing legal considerations and techniques to navigate Glassdoor's anti-scraping measures.

python

1 min to read

apify.com

How to Scrape Glassdoor in 4 Steps - scrapelead’s Substack

This guide shows how to scrape data from Glassdoor to gather insights on company reviews, salary data, job openings, and interview experiences. It outlines the necessary tools, code examples, and emphasizes ethical considerations in web scraping.

python

1 min to read

substack.com

How to Scrape Glassdoor (2025 update)

This article provides a comprehensive tutorial on how to scrape Glassdoor for various types of company data, including job listings, reviews, and salary information. It discusses leveraging GraphQL cache and state data with Python to efficiently gather public datasets while addressing anti-scraping measures.

python

1 min to read

scrapfly.io

Web Scraping Glassdoor Job Listings for Data Analysis | by Jonathan Mondaut | Medium

This article demonstrates how to extract job listings from Glassdoor using Python and Beautiful Soup for data analysis, helping job seekers make informed decisions. It provides a comprehensive guide on logging in, fetching job listings, and exporting the data for further analysis.

python

1 min to read

medium.com

Learn How to Scrap Glassdoor in 8 Minutes for Free

This article shows how to efficiently extract job postings from Glassdoor and organize them in a CSV file. It provides a comprehensive guide on using the Mantiks API and Python for scraping job data according to specific search criteria.

python

1 min to read

mantiks.io

Is Job Scraping Legal? Yes, when done in compliance.

This article provides a comprehensive overview of the legalities surrounding job scraping, detailing when it is considered legal and the regulations that govern this practice. It emphasizes the importance of understanding terms of service and data protection laws to ensure compliance while scraping job postings from various platforms.

1 min to read

mantiks.io

Page 1 of 15

Glassdoor Web Scraping Videos

Find the best web scraping videos for Glassdoor. Learn how to get started scraping Glassdoor.

Language
Code Level

This video tutorial teaches viewers how to scrape Glassdoor data using Python and Playwright, including key techniques for handling proxies. The video covers the main scraper code and demonstrates the necessary steps to effectively extract data from the site.

python
playwright
Published
4 months ago
3 min Length
0 Likes
74 Views

This video tutorial demonstrates how to automate lead generation by scraping job listings from Glassdoor and analyzing them using AI. It highlights the use of Bright Data and n8n for implementing a system that generates personalized pitches for potential clients.

bright-data
n8n
Published
8 months ago
12 min Length
23 Likes
490 Views

This tutorial teaches viewers nine different methods to scrape websites using the N8N automation tool, including handling both static and dynamic sites. It demonstrates techniques such as making direct HTTP requests, utilizing services like Firecrawl and RapidAPI, and employing tools like the Web Scraper Chrome Extension and Apify for advanced web scraping tasks.

n8n
firecrawl
rapidapi
web-scraper
apify
crawlbase
octoparse
openai
Published
11 months ago
69 min Length
3.2K Likes
137.5K Views

This tutorial demonstrates how to build a dataset focused on recruitment insights by scraping Glassdoor. It explores tools like Apify and Clay to analyze interview processes, rejection rates, and the types of questions asked during interviews.

apify
clay
Published
1 year ago
22 min Length
13 Likes
751 Views

This tutorial teaches viewers how to efficiently extract information from job listing websites using tools provided by Hexact. It focuses on web scraping techniques tailored specifically for targeting job postings and listings.

Published
2 years ago
17 min Length
43 Likes
3.7K Views

This tutorial teaches how to use the Glassdoor Scraper tool to automatically extract job posting data from Glassdoor, capturing details such as job title, company, and location. It demonstrates the process of scraping job listings, exporting the data into a structured CSV format for easier analysis and application preparation.

Published
2 years ago
1 min Length
2 Likes
2.1K Views

This tutorial demonstrates how to scrape company reviews from Glassdoor using the Octoparse web scraping tool without any coding skills. It outlines the steps for creating a new task, selecting data fields, and exporting the scraped data.

octoparse
Published
2 years ago
4 min Length
21 Likes
4.3K Views
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