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Gartner Peer Insights Scraper

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Scrape Gartner Peer Insights reviews: star ratings, headlines, summaries, reviewer job title, industry, company size, function and region, plus product profiles with rating breakdowns, pricing notes and alternatives. Filter by stars, company size, region, industry and function. No login needed.

⭐ Gartner Peer Insights Scraper

Collect verified software reviews from Gartner Peer Insights: star ratings, headlines, summaries and who wrote them (job title, industry, company size, job function), plus a full product profile with rating breakdown, pricing notes, vendor details and top alternatives. No Gartner account needed. Ten reviews arrive in about 30 seconds, a thousand in about two minutes.

✨ Why use Gartner Peer Insights Scraper?

  • 🔓 No login — works on the public site, no Gartner account or cookies.
  • 🎯 Real filters — star rating, company size, region, industry, job function, reviewer type and "last 12 months", the same filters the site offers.
  • 🧭 True sort order — with a limit you get the newest, oldest or most helpful reviews, in that order.
  • 🏢 Reviewer context — job title, industry and company size on every review; job function and region when the site exposes them.
  • 📦 Product profile included — description, pricing notes, vendor, markets, rating breakdown, alternatives and the favorable/critical review spotlight with likes and dislikes.
  • 💸 Pay per review — no monthly fee; usage is small because every page is a light JSON call.

🎯 Use cases

  • 📊 Competitive intelligence — compare how buyers rate you and your competitors, by industry and company size.
  • 🧪 Product research — mine 1-3 star reviews for pain points before a roadmap review.
  • 🗣️ Voice of the customer — feed review summaries into your analytics or BI tool.
  • 💼 Sales enablement — find which industries and company sizes love a product.
  • 📈 Market monitoring — schedule weekly runs and track new reviews and rating changes.

🚀 How to use

  1. Paste one or more Gartner Peer Insights product URLs, e.g. https://www.gartner.com/reviews/product/zoom-meetings (market URLs and bare slugs such as zoom-meetings work too).
  2. Set Max reviews per product (0 = every review the site shows) and the sort order.
  3. Optionally add filters: stars, company size, region, industry, job function, reviewer type, last 12 months.
  4. Run it and export the results as JSON, CSV, Excel or HTML, or read them through the API.

📥 Input

FieldWhat it does
productUrlsProduct pages (or slugs). A market page of a product limits reviews to that market.
maxResultsReviews per product. 0 = all.
sortmost-recent, most-helpful or least-recent.
starRatinge.g. ["1", "2"] for critical reviews only.
companySize, region, industry, reviewerFunction, reviewerTypeReviewer filters.
lastTwelveMonthsOnly reviews from the last year.
marketOptional market slug, e.g. meeting-solutions.
includeProductDataAttach the product profile to the first review of each product (default on).
{
  "productUrls": ["https://www.gartner.com/reviews/product/zoom-meetings"],
  "maxResults": 20,
  "sort": "most-recent",
  "starRating": ["1", "2", "3"],
  "companySize": ["1B-10B USD", "10B+ USD"]
}

📤 Output

One row per review.

FieldDescription
id, urlReview id and review page link
ratingOverall stars (1-5)
headline, summaryReview title and summary text
date, dateIsoPublication date as shown and as ISO date
jobTitle, industry, companySizeReviewer details
reviewerFunction, reviewerRegionJob function and region when the site exposes them (otherwise null)
partnerReviewTrue for reviews written by a vendor partner
sourceCode, incentiveCodeGartner's review source and incentive codes
productId, productSeoName, productName, vendorName, marketNameProduct context
productDataProduct profile (first review of each product)
scrapedAtWhen the row was saved

Example (from a test run):

{
  "id": "7011148",
  "headline": "Stable, reliable performance with excellent video quality in all conditions",
  "summary": "It's a very positive experience and stable and reliable software for day to day use. It is simple to manage and intuitive to use for users.",
  "rating": 4,
  "date": "Oct 2, 2026",
  "dateIso": "2026-10-02",
  "jobTitle": "IT MANAGER",
  "industry": "IT Services",
  "companySize": "<50M USD",
  "reviewerFunction": "IT",
  "reviewerRegion": null,
  "partnerReview": false,
  "sourceCode": 3,
  "incentiveCode": 2,
  "url": "https://www.gartner.com/reviews/market/meeting-solutions/vendor/goto/product/goto-meeting/review/view/7011148",
  "productId": 58763,
  "productSeoName": "goto-meeting",
  "productName": "GoTo Meeting",
  "vendorName": "GoTo",
  "marketName": "Meeting Solutions",
  "productData": null,
  "scrapedAt": "2026-10-21T09:28:25.392446+00:00"
}

productData (first review per product, also saved as PRODUCT_INFO in the key-value store) holds productName, productLogo, productDescription, pricingDescription, vendorName, vendorDescription, marketName, markets, averageRating, totalReviews, overallRatings (count per star), alternatives (name, rating, review count) and reviewSpotlight (the favorable and critical review with likes and dislikes).

💰 Pricing

You pay $1.50 per 1,000 reviews ($0.0015 per review) plus the small platform usage of the run (compute and residential proxy traffic).

Worked examples from our test runs: 1,000 Zoom Meetings reviews cost $1.50 in review events plus about $0.02 of usage; the 20 newest reviews of a product cost $0.03 plus about $0.005 of usage. The product profile is free.

❓ FAQ

Is it legal? It reads public review pages that anyone can open without an account. Reviews carry job titles, not names. You are responsible for how you use the data; check Gartner's terms and your local laws.

Do I need a Gartner login or a proxy? No login. The site blocks datacenter IPs, so the actor uses US residential proxies by default; you don't need to set anything up.

How many reviews can I get? Logged-out visitors only see one review per page of five, so the actor reads the review list through many combinations of the site's own filters. In our tests that reached 98% of a product's reviews (1,323 of 1,349 for GoTo Meeting) and returned the exact newest reviews for small limits.

Why are some fields empty? reviewerFunction and reviewerRegion are not part of the review card; the actor fills them when it found the review through that filter. Gartner hides summary on a few reviews.

Can I schedule it or use the API? Yes. Schedule runs in the console or start them through the API, then read the dataset as JSON, CSV or Excel.

⚠️ Limits

  • Full review text (the long question-by-question answers) needs a Gartner account, so it is not included; you get the headline, summary, rating and reviewer details.
  • Coverage of a product's full history is very high but not guaranteed to be 100%, because of the per-page cap for logged-out visitors.
  • With "Most helpful", reviews come in the order found, not strictly by helpfulness.
  • In long runs a handful of reviews found late can appear after older ones.

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