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G2 Reviews Dataset for RAG and SaaS Research

Build a structured G2 reviews dataset for internal search, RAG, product research, and voice-of-customer analysis from public product review pages.

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G2 Reviews & Products Scraper
G2 Reviews & Products Scraperautomation-lab/g2-scraper
ID
Title
NPS
Stars
+6 fields
Text
Number
Boolean
List
Object

Input

G2 scraping mode(required):product_reviews
G2 product URLs or slugs:https://www.g2.com/products/hubspot-sales-hub/reviews
Max G2 reviews per product:150
Sort Reviews By:newest

Output fields

ID
Title
NPS
Stars
Reviewer
Country
Helpful
Date
Product
URL

How it works

Sign up on Apify or log in

The G2 Reviews & Products Scraper Actor is ready to run with the inputs already set for "G2 Reviews Dataset for RAG and SaaS Research". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "G2 Reviews Dataset for RAG and SaaS Research" task

The G2 Reviews & Products Scraper Actor will start running based on the input automatically. You can also change all the input fields, like g2 scraping mode, g2 product urls or slugs, and more, to match your specific use case.

Receive the "G2 Reviews Dataset for RAG and SaaS Research" 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, title, NPS, 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 "G2 Reviews Dataset for RAG and SaaS Research" task via API.

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Integrate "G2 Reviews Dataset for RAG and SaaS Research" into your workflow

Connect "G2 Reviews Dataset for RAG and SaaS Research" with 100+ integrations, or run it via API or MCP.

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