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.
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.
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.
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.
Compare multiple proxy providers side-by-side using the last 7 days of Glassdoor proxy performance data gathered with the ScrapeOps Proxy API Aggregator.
| Proxy Provider | Enabled Functionality | Cost/ Performance Score | Success Rate | Avg. Success Latency | API Credits | CPM | Provider Plan |
|---|---|---|---|---|---|---|---|
| ScrapeOps | Access all providers above through the ScrapeOps Proxy API Aggregator. We automatically match you to the best provider for each request. Learn more → | ||||||
| ScrapeStack | - | 12.3 | 3% | 5.8s | 1 credit | $79 | Basic ($19/month) |
| Zyte API | - | 10.6 | 97% | 8.5s | Tier 5 | $950 | $100 Plan ($100/month) |
| Scrape.Do | JS Rendering | 7.9 | 75% | 16.3s | 5 credits | $990 | Pro ($99/month) |
| Scrapingdog | JS Rendering | 7.8 | 55% | 6.6s | 5 credits | $450 | Standard ($90/month) |
| ScraperAPI | - | 7.3 | 92% | 5.4s | 10 credits | $1,490 | Startup ($149/month) |
| ScrapingBee | - | 6.8 | 17% | 6.7s | 1 credit | $327 | Freelance ($49/month) |
| Zenscrape | Residential | 3.8 | 93% | 24.9s | 20 credits | $1,660 | Large ($249/month) |
| ZenRows | ResidentialJS Rendering | 1.6 | 43% | 14.9s | 25 credits | $2,500 | Business ($299/month) |
| Scrapingant | Residential | 0.6 | 12% | 29.0s | 25 credits | $2,075 | Business ($249/month) |
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.
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.
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.
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
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 Web Scraping Legality
Understand the legal considerations before scraping Glassdoor. Review the website's robots.txt file, terms & conditions, and any past lawsuits to assess the risks. Ensure compliance with applicable laws and minimize the chances of legal action.
Legality Review
Glassdoor's robots.txt file and its Terms of Service (TOS) express a clear preference against web scraping, substantially constraining potential areas for crawling. While these set the website's expectations, they aren't absolute legal barriers for scraping certainly public sections. The de facto legal view tends to acknowledge scraping publicly available web content, provided logins or other technical access controls aren't circumvented.
Actual legal risk generally surfaces from scraping content in authenticated areas where the user has explicitly agreed to the TOS, accessing personal data, or disregarding technical access controls. On Glassdoor, accessing user-generated content like reviews or salary information – considered private under the TOS – amplifies the risk, particularly when logged in. For publicly available sections, it's prudent for developers to adopt respectful crawling behavior, steer clear of legally protected areas, and manage any personal or copyrighted data responsibly.
Glassdoor Robots.txt
Does Glassdoor robot.txt permit web scraping?
Summary
The robots.txt file for Glassdoor sets strict rules that substantially limit the areas of the website that can be accessed by general automated crawlers. Instructions such as Disallow: /Salaries, Disallow: /Jobs, Disallow: /Interview, and numerous others create extensive barriers that impede web scrapers from reaching a large number of critical sections on the site. Although these rules are designed to apply to all standard user agents, some exceptions are made for specific bots such as Googlebot and Bingbot, which have their own set of Allow directives.
There are very few paths in the robots.txt file that are explicitly allowed, which includes rules such as Allow: /sitemap.htm and Allow: /Content/ContentMap.htm. The file also contains references to sitemap locations. From a practical viewpoint, this setup creates a rather restrictive environment that places heavy limitations on the capabilities of general-purpose web scrapers, while still permitting search engines to maintain access for indexing purposes. In summary, the robots.txt file for Glassdoor clearly indicates a restrictive stance when it comes to automated scraping, with a preference for selectively allowing access to certain whitelisted crawlers.
Glassdoor Terms & Conditions
Does Glassdoor Terms & Conditions permit web scraping?
Summary
The terms of service for Glassdoor explicitly prohibit automated access and data extraction. The terms state:
"You may not use any robot, spider, scraper, data mining tools, data gathering and extraction tools, or other automated means to access the Services for any purpose without our express written permission."
This covers all scraping, crawling, or bot-driven collection across both public and logged-in parts of the site. While terms can apply differently depending on whether a user has explicitly agreed (for example, by creating an account), Glassdoor frames this restriction as universal.
Glassdoor does not offer a public API, and any attempts to bypass login gates, rate limits, or CAPTCHAs are likely to be treated as violations. The terms mention potential actions such as IP blocking, account suspension, and legal remedies, making unauthorized scraping generally high-risk without prior written permission.
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 Companyunknown
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
More Links
Glassdoor Github Repos
Find the best open-source scrapers for Glassdoor on Github. Clone them and start scraping straight away.
Language
Code Level
Stars
glassdoor-review-scraper
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
7 years ago
glassdoor-scraper
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
6 years ago
actor-glassdoor-jobs
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
6 years ago
Job-Listing-Scraper
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
6 years ago
scrapers
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
6 years ago
glassdoorScraper
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
8 years ago
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.
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.
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.
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.
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.
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.
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
Glassdoor Web Scraping Videos
Find the best web scraping videos for Glassdoor. Learn how to get started scraping Glassdoor.
Language
Code Level
How to Scrape Glassdoor Data Using Python
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.
4 months ago
Scrape & Pitch: My Full Glassdoor Automation Using AI + Bright Data
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.
8 months ago
The 9 Best Ways to Scrape Any Website in N8N
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.
11 months ago
Recruiting dataset by scraping Glassdoor and using Clay + GPT
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.
1 year ago
How to Scrape Job Postings
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.
2 years ago
How to scrape and export Glassdoor Jobs to CSV in 2025
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.
2 years ago
Effortless Glassdoor Scraping: Obtain Company Reviews with Ease
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.
2 years ago