Build a training dataset from Glassdoor reviews

Created by

Goutam Soni

Actor

Glassdoor Scraper

Consistent, well-typed Glassdoor reviews suitable as an input corpus for analysis or model training.

Try for free

Glassdoor Scrapergoat255/glassdoor-scraper

Type

Rating

Recommends

Work-Life

+8 fields

Input

Companies:__healthcheck__

Max reviews per company:100

Reviews sort:DATE

Output fields

Type

Rating

Recommends

Work-Life

Comp

Summary

Pros

Cons

Job Title

Location

Date

URL

How it works

Sign up on Apify or log in

The Glassdoor Scraper Actor is ready to run with the inputs already set for "Build a training dataset from Glassdoor reviews". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a training dataset from Glassdoor reviews" task

The Glassdoor Scraper Actor will start running based on the input automatically. You can also change all the input fields, like companies, max reviews per company, and more, to match your specific use case.

Receive the "Build a training dataset from Glassdoor reviews" 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 type, rating, recommends, 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 "Build a training dataset from Glassdoor reviews" task via API.