Apify·G2

G2 Reviews & Products Scraper

/automation-lab/g2-scraperasync$0.0144 / result

Scrape G2.com reviews, ratings, and product data. Extract NPS scores, reviewer sentiment, ease-of-use ratings, switching data, and product lists from 5M+ reviews across 220K+ products. Runs as an Apify actor (20–120 s); results are dataset rows.

Charged per returned row plus the flat fee.

Input

modestringrequired
Select what to scrape: - **product_reviews**: Scrape reviews for specific products (by URL or slug) - **product_search**: Search products by keyword, get product metadata - **category_browse**: Browse products in a category (e.g. "CRM", "Project Management") (default "product_reviews")
product_reviews, product_search, category_browse
productUrlsarray
G2 product URLs or slug identifiers to scrape reviews for. Accepts full URLs (e.g. https://www.g2.com/products/slack/reviews), protocol-less URLs (e.g. www.g2.com/products/slack/reviews), or just slugs (e.g. slack, hubspot, salesforce). One per line.
maxReviewsinteger
Maximum number of reviews to scrape per product. Scraping is paginated (100 per request). Set to a large number to get all reviews. (default 100)
sortReviewsstring
Order in which to fetch and return reviews. (default "newest")
newest, helpful, rating_high, rating_low
minRatinginteger
Only return reviews with an NPS score at or above this value (0–10). Leave blank to include all ratings.
publishedAfterstring
Only return reviews published on or after this ISO 8601 date or timestamp. Date-only values include the full UTC day (for example, 2026-08-01).
publishedBeforestring
Only return reviews published on or before this ISO 8601 date or timestamp. Date-only values include the full UTC day (for example, 2026-08-07).
searchQuerystring
For **product_search** mode: keyword to search products by name/description (e.g. "project management"). For **category_browse** mode: category name to browse (e.g. "CRM", "Video Conferencing").
maxProductsinteger
Maximum number of products to return in product_search or category_browse modes. (default 25)

Field	Type	Required	Description
mode	string (product_reviews, product_search, category_browse)	yes	Select what to scrape: - product_reviews: Scrape reviews for specific products (by URL or slug) - product_search: Search products by keyword, get product metadata - category_browse: Browse products in a category (e.g. "CRM", "Project Management") (default "product_reviews")
productUrls	array	—	G2 product URLs or slug identifiers to scrape reviews for. Accepts full URLs (e.g. https://www.g2.com/products/slack/reviews), protocol-less URLs (e.g. www.g2.com/products/slack/reviews), or just slugs (e.g. slack, hubspot, salesforce). One per line.
maxReviews	integer	—	Maximum number of reviews to scrape per product. Scraping is paginated (100 per request). Set to a large number to get all reviews. (default 100)
sortReviews	string (newest, helpful, rating_high, rating_low)	—	Order in which to fetch and return reviews. (default "newest")
minRating	integer	—	Only return reviews with an NPS score at or above this value (0–10). Leave blank to include all ratings.
publishedAfter	string	—	Only return reviews published on or after this ISO 8601 date or timestamp. Date-only values include the full UTC day (for example, 2026-08-01).
publishedBefore	string	—	Only return reviews published on or before this ISO 8601 date or timestamp. Date-only values include the full UTC day (for example, 2026-08-07).
searchQuery	string	—	For product_search mode: keyword to search products by name/description (e.g. "project management"). For category_browse mode: category name to browse (e.g. "CRM", "Video Conferencing").
maxProducts	integer	—	Maximum number of products to return in product_search or category_browse modes. (default 25)

Run it

curl -s https://sooma.dev/v1/run \ -H "Authorization: Bearer $SOOMA_API_KEY" \ -H "Content-Type: application/json" \ -d '{"provider":"apify","endpoint":"/automation-lab/g2-scraper","input":{"mode":"product_reviews"}}'

Or ask your agent: it will call inspect for this schema and run it over MCP.