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Glassdoor Recent Reviews Scraper

Sentiment moves, and an average built from five years of reviews hides it. This example sorts Glassdoor reviews newest first and returns the rating, the pros and cons text, the reviewer job title and the date. HR teams use it to catch a change in mood early, well before it shows up in the headline score.

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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/Amazon-Reviews-E6036.htm
Sort order:DATE

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 Recent Reviews Scraper". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Glassdoor Recent 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 Recent 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 Recent Reviews Scraper" task via API.

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