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Collect a customer review corpus from G2

Gather review text, pros, cons, and reviewer context for research, analysis, and citation-ready corpora from public G2 pages.

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G2 Reviews Scraper — Ratings, Pros & Cons
G2 Reviews Scraper — Ratings, Pros & Conskhadinakbar/g2-product-reviews-scraper
Type
Product
Rating
Title
+9 fields
Text
Number
Boolean
List
Object

Input

G2 product URLs
url:https://www.g2.com/products/slack/reviews
Max reviews per product:25
Sort reviews by:newest

Output fields

Type
Product
Rating
Title
Review
Pros
Cons
Reviewer
Date
Review URL
Product rating
Total reviews
Product URL

How it works

Sign up on Apify or log in

The G2 Reviews Scraper — Ratings, Pros & Cons Actor is ready to run with the inputs already set for "Collect a customer review corpus from G2". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Collect a customer review corpus from G2" task

The G2 Reviews Scraper — Ratings, Pros & Cons Actor will start running based on the input automatically. You can also change all the input fields, like g2 product urls, max reviews per product, and more, to match your specific use case.

Receive the "Collect a customer review corpus from G2" 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, product, 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 "Collect a customer review corpus from G2" task via API.

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