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Glassdoor Interview Questions Scraper

Collect the interview experiences candidates share on Glassdoor. This example returns the questions asked, the reported difficulty, the outcome, the role interviewed for and the date. Candidates use it to prepare properly, and talent teams use it to audit what their own interview loop actually feels like from the other side of the table.

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๐Ÿ”ฅ Glassdoor Scraper
๐Ÿ”ฅ Glassdoor Scrapersilentflow/glassdoor-scraper-ppe
ID
Employer id
Job Title
Difficulty
+4 fields
Text
Number
Boolean
List
Object

Input

Start URLs
url:https://www.glassdoor.com/Interview/Google-Interview-Questions-E9079.htm
Include company interview stats:true

Output fields

ID
Employer id
Job Title
Difficulty
Experience
Offer
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 Interview Questions Scraper". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Glassdoor Interview Questions 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 include company interview stats, to match your specific use case.

Receive the "Glassdoor Interview Questions 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, job title, 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 Interview Questions Scraper" task via API.

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