AI-Powered Web Scraping

Glassdoor Reviews Scraper

Collect Glassdoor reviews — full review text, ratings, job titles, and pros — and export to Excel, Google Sheets, or Notion in 2 clicks. No code required.

Need more ways to scrape at scale?

A quick playground: Try it yourself.

Unlock insights with Glassdoor reviews data

Extract employee reviews, ratings, and sentiment data from Glassdoor — no code, no copy-pasting.

Get the full review story

Go beyond what's visible on the listing page. Thunderbit automatically visits each review's detail page to capture the full review text, pros and cons, and fields that aren't shown upfront. You get a complete picture of employee sentiment — not just a headline — so your research actually tells you something.

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Automate your Glassdoor reviews monitoring

Glassdoor reviews update constantly, and checking manually doesn't scale. Schedule recurring scrapes with Thunderbit to pull the latest ratings, review titles, and company feedback on autopilot. Fresh data lands in your spreadsheet on your chosen schedule, with no manual work required.

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Export Glassdoor reviews data instantly

When extraction is done, send your Glassdoor data — ratings, review text, job titles, and more — directly to Google Sheets, Notion, Airtable, or Excel in one click. No copy-pasting, no reformatting. Go straight to analysis.

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Why Is Thunderbit Different from Traditional Glassdoor Reviews Scrapers?

Scrape Glassdoor Reviews without the headaches of traditional scraping methods.

Traditional scrapers

The old way of doing things
Glassdoor's frequent layout changes break traditional scrapers that rely on fixed CSS selectors, forcing constant maintenance.
Many reviews are hidden behind 'Show More' buttons, which standard scrapers often fail to trigger — leaving critical feedback uncollected.
Review dates and job titles appear in inconsistent formats, making standardized data extraction unreliable.
Pagination across multiple review pages can cause scrapers to miss entries when content loads dynamically.
Pulling extra context from linked employee profile pages requires complex, brittle configurations and significant additional effort.
The AI Advantage

Thunderbit AI

The smarter approach
Thunderbit's AI understands review content semantically, automatically adapting when Glassdoor updates its page layout.
AI detects and captures all review content — including dynamically loaded sections — with a simple two-click setup.
Thunderbit automatically normalizes review dates and job titles, so your exported data is clean and ready to use.
Auto-pagination handles any number of review pages without manual configuration or missed entries.
Thunderbit can follow and extract data from linked profile pages, appending that context automatically as new columns.

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Frequently asked questions

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