AI API MCP READY

G2 Reviews API

Collect G2 product reviews as clean, structured JSON for B2B software intelligence. Send one or many product URLs and get ratings, pros and cons, reviewer role, company size, and dates, with an optional product-metadata add-on. Reliable, pay per review, MCP-ready for Claude and AI agents.

MEDIAN LAGon demand

PARAMETERS4

TOTAL USERS3

MONTHLY ACTIVE2

TOTAL RUNS41

RUNS SUCCEEDED95.5%

RATINGno ratings yet

Input parameters

PARAMETER	TYPE	REQ	DEFAULT	DESCRIPTION
productUrls	string[]	yes	—	One or more G2 product review URLs, e.g. https://www.g2.com/products/asana/reviews.
maxReviewsPerProduct	integer	no	100	Maximum number of reviews to return per product (1-1000).
sortBy	enum	no	—	Optional sort order for reviews.
includeProductMetadata	boolean	no	False	When enabled, add one product-metadata row per product (category, star rating, review count, vendor, competitors).

Worked examples

Basic — the required input, with the schema's own example values

{
  "productUrls": [
    "https://www.g2.com/products/asana/reviews"
  ]
}

Tasks

Saved runs with the inputs already filled in — each one a standalone page and a working configuration example.

Request a task →

Code

curl

curl -X POST "https://api.apify.com/v2/acts/johnvc~g2-reviews-api/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"productUrls": ["https://www.g2.com/products/asana/reviews"]}'

Python

from apify_client import ApifyClient

client = ApifyClient("APIFY_TOKEN")
run = client.actor("johnvc/g2-reviews-api").call(
    run_input={'productUrls': ['https://www.g2.com/products/asana/reviews']}
)
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)