Glassdoor protects its data aggressively. It requires a login for most content, serves JavaScript-rendered pages, and rate-limits requests quickly, making it one of the harder platforms to scrape without the right setup. The data itself, job listings, salary reports, and company reviews, is valuable for recruiting intelligence, compensation research, and market analysis.
What You Need Before You Start
Scraping Glassdoor requires a few things in place before writing a single line of code. First, you need a Python environment with Playwright installed, since Glassdoor renders its content through JavaScript, and a standard HTTP request will return an empty page. Run pip install playwright and playwright install to get the browsers set up.
Second, you need an account. Glassdoor gates most of its content behind a login wall, so your scraper will need valid credentials to access job listings, salaries, and reviews.
Third, you need rotating residential proxies. Glassdoor detects and blocks datacenter IPs quickly, so residential IPs are the safer option. Residential proxies start at $1.75/GB with no subscription required, making them a practical choice without a large upfront commitment.
Also Read: IP Rotation: How It Works and Why It Matters for Scraping
How to Scrape Glassdoor Step by Step
Start by launching a Playwright browser instance and navigating to Glassdoor's login page. Pass your credentials, wait for the session to load, then navigate to your target page, whether that is job listings, salary data, or company reviews.
Once on the target page, use Playwright's page.query_selector_all() to locate the elements you need. Glassdoor's DOM structure changes occasionally, so inspect the page manually first and identify stable class names or data attributes to target.
Route your requests through rotating residential proxies by passing the proxy endpoint into Playwright's browser launch options. Add a randomized delay between actions to avoid triggering rate limits. Finally, export your collected data to a CSV or JSON file using Python's built-in csv or json modules, and run the scraper in batches rather than pulling everything at once.
Avoiding Blocks and Staying Under the Radar
Glassdoor's bot detection looks for patterns: repeated requests from the same IP, no delay between actions, and browser fingerprints that do not match real user behavior.
Rotating residential proxies handle the IP problem since each request comes from a different household IP. Mimic human behavior by adding randomized delays between clicks and page loads, varying it within a range of 2 to 5 seconds. For browser fingerprinting, avoid running Playwright in headless mode without modification. Use a realistic user agent string, set a standard viewport size, and add playwright-stealth to patch the most common fingerprint signals.
Also Read: How to Use Selenium With a Proxy in Python
Final Thoughts
Glassdoor is a tough target, but manageable with the right tools. Playwright handles JavaScript rendering and the login requirement, while rotating residential proxies keeps your IP clean. Residential proxies start at $1.75/GB with no subscription required. Deposit $5 and start scraping at Proxyon.
