G2 Reviews Scraper API turns public G2 product review pages into clean, structured JSON. Point it at one or more G2 product URLs and it returns one flat record per review: star rating, headline, full review text, best-effort pros and cons, reviewer role and company-size segment, publication date, tags and verification, a link to the original review, and a short plain-language summary. Turn on the optional per-product metadata record for category, aggregate rating, review count, vendor, and named competitors.

It is built for review monitoring, competitive intelligence, and customer sentiment work. Batch up to 100 product URLs per run, cap reviews per product to control cost, sort by recent, helpful, highest, or lowest, and get deduplicated, schema-stable rows that drop straight into a spreadsheet, a database, or an LLM pipeline.

What each run returns

• Star rating, headline, and full review text per review

• Pros and cons, reviewer role, and company-size segment

• Publication date, tags, verification, and a link to the source review

• Optional product metadata: category, average rating, review count, vendor, competitors

Example tasks and use cases

• Monitor G2 Reviews on a Schedule for Any Product - run review monitoring on a schedule and catch new ratings, pros, and cons as they land.

• Competitor Analysis from G2 Review Pros and Cons - pull a rival product’s reviews and read its strengths, weaknesses, and churn signals.

• Run Customer Sentiment Analysis on G2 Reviews - track ratings and sentiment over time, segmented by reviewer role and company size.

• G2 Reviews API: Pull Software Reviews as JSON - the developer quick start for pulling reviews as JSON in a single call.

• Export G2 Reviews to JSON with Ratings and Roles - a one-shot export with ratings and reviewer roles, ready for CSV.

Works with MCP

The G2 Reviews API runs over MCP, so AI clients like Claude and Cursor can call it as a tool. Ask your agent something like "pull the 50 most recent G2 reviews for Asana and summarize the top complaints" and it returns structured rows, with no scraping code to write.

Pricing

Pay per result. A small start fee plus a per-review fee of about $0.004, so a 50-review pull runs around $0.20. No subscription.

Guides and integrations

Walkthrough: Customer sentiment from G2 reviews on Dev.to. No-code automation: Track competitor G2 reviews in Google Sheets with n8n.

Keywords and topics

g2 reviews scraper, g2 reviews api, review monitoring, competitive intelligence, customer sentiment, b2b software reviews, voice of customer, product marketing data, RAG and LLM review pipelines.

Main page: G2 Reviews API on Apify.