G2 Reviews Scraper

Scrape G2 software reviews as clean structured JSON - review title, star rating, date, what the reviewer likes best and dislikes, the problems the product solves, the reviewer's role, industry and company size, G2's validation and incentive badges and the vendor's response - with the product slug and name on every row. Each product's rating, star histogram, categories, AI summary, top pros and cons and reviewer segments are saved alongside. Many products in one run. No G2 account, no API key, no proxies to configure.

Features

• Any product input - the G2 slug (slack, hubspot-sales-hub) or a g2.com product URL.
• Full review data - id, URL, title, rating (0.5-5), date and G2 "fresh review" update date, every question and answer, likeBest / dislike / problemsSolved / recommendations, combined text, reviewer name (when not anonymous), job title, industry, company size and profile URL, current-user / validated-reviewer / incentivized / source / AI-translated badges, and the vendor's response.
• Order and filters - most recent, most helpful, highest rated, lowest rated or G2's default order; only chosen star ratings; only reviews mentioning a keyword; only reviews since a date.
• Up to 500 reviews per product - G2 shows visitors at most 100 reviews per order and star filter. When you ask for more, the Actor reads further views (each star rating, then the other orders) and removes duplicates by review id.
• Product summary - the PRODUCTS record holds rating, review count, 1-5 star counts, categories, G2's AI summary, pros and cons with mention counts, reviewer segments (company size, role, industry, region) and, with details, vendor, description, website, languages and logo.

Use cases

• Competitive intelligence - what customers like and dislike about competing products, by company size and industry.
• Win/loss and battlecards - collect 1- and 2-star reviews of a rival with the stars filter.
• Review monitoring - a scheduled run with since and "Most recent" returns only the new reviews of your product.
• Product research and LLM analysis - feed structured pros, cons and problems solved into topic or sentiment analysis.

Input

Field	Type	Default	Description
products	array	["slack"]	G2 product slugs or g2.com product URLs.
maxReviewsPerProduct	integer	20	Reviews per product (1-500).
sort	string	most_recent	most_recent, most_helpful, highest_rated, lowest_rated or g2_default.
stars	array	-	Only these star ratings ("1"-"5").
search	string	-	Only reviews whose answers mention this keyword.
since	string	-	Only reviews written on or after this date (YYYY-MM-DD).
details	boolean	false	Add vendor, description, website, languages and logo to PRODUCTS.

Example input

{
  "products": [
    "slack",
    "https://www.g2.com/products/notion/reviews"
  ],
  "maxReviewsPerProduct": 200,
  "sort": "most_recent",
  "stars": ["1", "2"],
  "details": true
}

Output

One dataset item per review:

{
  "productSlug": "slack",
  "productName": "Slack",
  "productUrl": "https://www.g2.com/products/slack/reviews",
  "id": 13679926,
  "url": "https://www.g2.com/products/slack/reviews/slack-review-13679926",
  "title": "Slack Makes Team Communication Simple and Fast Across Devices",
  "rating": 4.5,
  "date": "2026-10-01",
  "updatedDate": null,
  "reviewerName": "Masna A.",
  "reviewerAnonymous": false,
  "reviewerTitle": "Research Associate",
  "reviewerIndustry": "Research",
  "reviewerCompanySize": "Mid-Market (51-1000 emp.)",
  "reviewerProfileUrl": "https://www.g2.com/users/85f61e54-9ad6-4e69-ab51-80662d963d09",
  "reviewerId": 10005717,
  "likeBest": "What I like about Slack is that it's easy to set up and really simple to use day to day...",
  "dislike": "One thing I don't like is that the desktop app takes up too much RAM memory...",
  "problemsSolved": "For quick questions and messy, cluttered email threads, it's very beneficial...",
  "recommendations": null,
  "text": "What I like about Slack is...",
  "answers": [
    {"question": "What do you like best about Slack?", "answer": "What I like about Slack is..."}
  ],
  "videoReview": false,
  "currentUser": true,
  "validatedReviewer": true,
  "validationMethod": "Validated through a business email account added to their profile",
  "incentivized": false,
  "source": "Organic Review from User Profile",
  "aiTranslated": false,
  "translatedFrom": null,
  "g2Icon": false,
  "badges": ["Current User", "Validated Reviewer", "Source: Organic Review from User Profile"],
  "vendorResponseAuthor": null,
  "vendorResponseText": null,
  "viewSort": "most_recent",
  "viewStars": null,
  "productInput": "slack"
}

The key-value store also holds:

• PRODUCTS - one summary per product (rating, review count, star counts, categories, AI summary, pros, cons, segments, optional vendor details, reviews collected and the views read).
• ERRORS - products that returned no reviews (unknown product, no match for the filters, or blocked) with the reason. These are not billed.

Pricing

$1 per 1000 reviews. You pay only for unique reviews delivered; failed products and the optional product details are not charged.

Notes

• G2 shows visitors at most 100 reviews per order and star filter. Up to 100 reviews per product follow the chosen order exactly; above that, reviews come from further views (one per star rating, then the other orders), so the extra reviews are not in one global order. viewSort and viewStars on each item say which view a review came from.
• G2 pages load slowly (a real browser renders each one), so expect roughly a minute per 20-40 reviews. Large runs take several minutes per product.