G2 Reviews Scraper — Pros, Cons, Ratings & Reviewer Context avatar

G2 Reviews Scraper — Pros, Cons, Ratings & Reviewer Context

Pricing

Pay per event

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G2 Reviews Scraper — Pros, Cons, Ratings & Reviewer Context

G2 Reviews Scraper — Pros, Cons, Ratings & Reviewer Context

Scrape G2 software reviews for any product: rating, title, pros, cons, problems solved, author, date, company size, verified flag. Gets through DataDome. $0.005 per review, no start fee.

Pricing

Pay per event

Rating

0.0

(0)

Developer

Creator Fusion

Creator Fusion

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

12 days ago

Last modified

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G2 Reviews Scraper — Pros, Cons, Ratings & Reviewer Context ($5 per 1,000 reviews)

Scrape software reviews from G2.com for any product: star rating, title, full review text split into pros, cons and problems solved, author, date, company size, verified/incentivized flags and review source. Plus one summary record per product with its overall rating and total review count. Choose which sort order comes first (most recent, most helpful, highest or lowest rated) and filter by minimum stars.

$0.005 per review, $0.005 per product summary. Nothing charged for products that cannot be fetched.

How deep it goes

G2 shows visitors without an account the first page (10 reviews) of each sort order and ignores deeper page numbers. This Actor therefore collects the first page of all four orders — most recent, most helpful, highest rated, lowest rated — which yields up to ~40 distinct reviews per product, always including the newest and the most-helpful ones. Each review carries sortOrder so you know where it came from. For a product's complete review history G2 requires a logged-in account, which this Actor deliberately does not use.

Why this one

  • It gets through DataDome. G2 blocks ordinary scrapers hard. This Actor escalates from datacenter IPs to Apify's anti-bot Unblocker and residential IPs automatically, and only bills reviews it delivers.
  • Structured, not scraped layout. Ratings, dates, authors and bodies come from G2's own schema.org data; pros/cons from the question blocks on the page.
  • Built for analysis: feed pros/cons straight into sentiment or topic models; companySize and verified let you segment.

Output

{
"type": "review",
"product": "slack",
"productName": "Slack",
"title": "Organized Channels and Smooth Integrations Keep Our Workflow on Track",
"rating": 4.5,
"author": "Amit M.",
"publishedAt": "2026-09-30",
"pros": "Honestly, what I love most about Slack is the way channels work...",
"cons": "The biggest downside for me is how distracting it can be...",
"problemsSolved": "Slack mostly solves the headache of scattered communication...",
"companySize": "Mid-Market (51-1000 emp.)",
"verified": true,
"source": "Organic",
"incentivized": false,
"url": "https://www.g2.com/products/slack/reviews",
"scrapedAt": "2026-10-06T07:00:00.000Z"
}

Product records (type: "product") carry productName, category, rating and reviewCount.

Input

FieldDefaultNotes
productUrls—Slugs (slack) or review URLs.
maxReviewsPerProduct40Up to ~40 distinct reviews are reachable per product (see above).
sortBymost_recentWhich order is fetched first; the others follow.
minRating0Skip reviews below this.
includeProductSummarytrue
callbackUrl—POST a JSON summary when the run finishes.

Pricing

EventPrice
review$0.005
product$0.005

Integrations

  • API: POST https://api.apify.com/v2/acts/apricot_blackberry~g2-reviews-scraper/run-sync-get-dataset-items?token=…
  • MCP: https://mcp.apify.com?tools=apricot_blackberry/g2-reviews-scraper
  • Webhooks: callbackUrl, or Apify run webhooks for Zapier, Make and n8n.
  • Schedules: weekly runs with sortBy: most_recent to monitor new reviews of your product and competitors.