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Glassdoor Company Reviews Scraper

Export the employee reviews behind a Glassdoor company page. This example pulls reviews with the star rating, the pros and cons text, the reviewer job title and location, and the date. HR teams use it to benchmark employer brand against competitors, and researchers use it to track sentiment over time instead of reading one page at a time.

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๐Ÿ”ฅ Glassdoor Scraper
๐Ÿ”ฅ Glassdoor Scrapersilentflow/glassdoor-scraper-ppe
ID
Employer id
Rating
Title
+6 fields
Text
Number
Boolean
List
Object

Input

Start URLs
url:https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm
Sort order:POPULAR

Output fields

ID
Employer id
Rating
Title
Pros
Cons
Job Title
Status
Date
URL

How it works

Sign up on Apify or log in

The ๐Ÿ”ฅ Glassdoor Scraper Actor is ready to run with the inputs already set for "Glassdoor Company Reviews Scraper". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Glassdoor Company Reviews Scraper" task

The ๐Ÿ”ฅ Glassdoor Scraper Actor will start running based on the input automatically. You can also change all the input fields, like start urls and sort order, to match your specific use case.

Receive the "Glassdoor Company Reviews Scraper" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as ID, employer id, rating, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Glassdoor Company Reviews Scraper" task via API.

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