Go to example tasks
G2 Products Reviews Scraperfetch_cat/g2-products-reviews-scraper
Item type
Product ID
Product slug
Product name
+19 fieldsTextNumberBooleanListObject
Input
Mode:product_reviews
Product slugs:figma
Maximum records:10
Lookback days:90
Skip failed products:true
Use RSS fallback:true
Output fields
Item type
Product ID
Product slug
Product name
Vendor
Categories
Review count
Average rating
G2 rating
Search query
Category
Review ID
Rating
Reviewer
Likes
Dislikes
Problems solved
Review text
Published at
Submitted at
Product URL
Review URL
Source
Sign up on Apify or log in
The G2 Products Reviews Scraper Actor is ready to run with the inputs already set for "Figma recent reviews". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Figma recent reviews" task
The G2 Products Reviews Scraper Actor will start running based on the input automatically. You can also change all the input fields, like mode, product slugs, and more, to match your specific use case.
Receive the "Figma recent 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 item type, product id, product slug, 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 "Figma recent reviews" task via API.
