G2 reviews scraper for public G2 and Capterra pages
Use this page when the job is scraping public G2 (and Capterra) product reviews into one normalized dataset. G2 & Capterra Review Scraper is the existing Store Actor for that source. It is not a new Actor, not a Shopify App Store listing scraper, and not an Apple Podcasts review RSS tool. Pass public review-page URLs you are authorized to fetch.
Compare: for dual-source G2 and Capterra in one run versus a single-source review-page scrape, see G2 + Capterra dual-source vs single-source review scrape.
Live Store card: from $3.00 / 1,000 results ($0.003 per default-dataset result; Actor Start $0.001). Cheapest first paid path: one G2 URL, reviewLimit 1.
Open G2 & Capterra Review Scraper on Apify · Cheapest first paid run
What a G2 reviews scraper row contains
The published README field list is source, sourceUrl, status, productName, vendorName, categoryName, overallRating, totalReviewCount, ratingBreakdown, and nested reviews[] (title, rating, date, author, body, pros, cons, verified), plus fetchError and warnings when a page is thin, blocked, or structurally changed. status is ok, partial, blocked, or error. Export is CSV/JSON from the default dataset. No API key.
Choose among the three public-review sources on the Review Intelligence pack hub. Shopify merchant listings belong on Shopify App Store Review Scraper. Apple/iTunes podcast reviews belong on Apple Podcasts Reviews Scraper or the Apple Podcasts reviews scraper use case.
Tiny first-paid input
The smallest useful G2 reviews scraper check is one public G2 URL, reviewLimit 1, delivery dataset, and dryRun false. reviewPageUrls is required. Mix a Capterra URL only after this one-URL schema check. Omit unpublished README aliases such as products, source, slug, maxReviewsPerProduct, and emitDeltas.
{
"reviewPageUrls": [
"https://www.g2.com/products/notion/reviews"
],
"reviewLimit": 1,
"delivery": "dataset",
"dryRun": false
}
Replace the sample with one public G2 review page you are authorized to fetch. If one Actor Start event and one result row charge, documented PPE is $0.001 + $0.003 = $0.004. The Store Quickstart line is ≈ $0.01. For the PPE table, see G2 reviews scraper: cheapest first paid run. For current rates, see the Store pricing card.
Run this G2 reviews scraper input on Apify
Can a G2 reviews scraper also pull Capterra reviews in the same run?
Yes, after a one-URL schema check. The Actor accepts both G2 (g2.com/products/{slug}/reviews) and Capterra (capterra.com/p/{id}/{slug}/reviews/) URLs in reviewPageUrls. It auto-detects source and routes each URL to the matching parser. Start with one G2 URL and reviewLimit 1. Mix G2 and Capterra in one run only after you validate the schema on that sample.
What does this G2 reviews scraper return besides a star rating?
Each product row can include source, product metadata, overall rating, rating distribution, and nested review rows with headline, body, pros, cons, and verified. Reviews are extracted from server-rendered HTML. Pages that render reviews only via client-side JavaScript may return partial results. Blocked requests are reported honestly. This independent Actor is not affiliated with or endorsed by G2 or Capterra. Do not use the output to target individual reviewers.
What is a first G2 reviews scraper input that stays on the live schema?
Pass one public G2 review-page URL in reviewPageUrls, reviewLimit 1, delivery dataset, and dryRun false. Do not send unpublished README aliases. Live pay-per-event rates are Actor Start $0.001 and result $0.003 (from $3.00 / 1,000 results).
Open G2 & Capterra Review Scraper on Apify
Related pages
- G2 Reviews Scraper Apify — product landing for the g2 reviews scraper apify query
- G2 + Capterra dual-source vs single-source
- G2 reviews scraper: cheapest first paid run
- Review Intelligence pack — podcast vs Shopify App Store vs G2/Capterra reviews
- Shopify App Store Review Scraper — Shopify merchant listings, not G2
- Apple Podcasts Reviews Scraper — public podcast review RSS
- Apple Podcasts reviews scraper — query-intent page for known collection IDs
- Tools