Gartner Peer Insights Product & Market Data Extractor

Gartner Peer Insights is where enterprise buyers compare B2B software through verified customer reviews. This actor collects four connected layers of that data without a login: product profiles, the public review stream with reviewer demographics, complete product listings for a Gartner market, and the full market/category directory.

Modes

Mode	What it returns	Best for
products	One product record plus review records for each product URL or slug	Vendor and product research
market	One market record plus every product in that market, or full product details when includeProductDetails is on	Competitive landscape and market mapping
categories	One category record per Gartner market, with its parent category	Building a market taxonomy

Product mode accepts full URLs or bare slugs, and market mode accepts a slug or a full market URL.

Input

Field	Type	Default	What it does
mode	select	categories	products, market, or categories
productUrls	string list	–	Product page URLs or slugs for products
marketSeoName	string	–	Market slug or URL for market
includeProductDetails	boolean	false	In market mode, fetch full profiles and reviews instead of fast listing rows
maxReviewsPerProduct	integer	50	Public reviews per product; 0 = profile only
useFilters	boolean	true	Adds one pass per star rating after paging to surface extra unique reviews
reviewSort	select	most-helpful	most-helpful, most-recent, least-recent
reviewRating	select	all	all, 5, 4, 3, 2, 1
reviewerType	select	all	all, end-user, partner
lastTwelveMonths	boolean	false	Limit reviews to the last 12 months
marketSort	select	ratingsCount_desc	Ratings count, average rating, or name; ascending or descending
marketCompanySize	select	all	Gartner company-size facet for market listings
maxItems	integer	100	Total record cap across all output types
proxyConfiguration	object	–	Optional; the actor tries direct access first

Examples

{
  "mode": "products",
  "productUrls": [
    "https://www.gartner.com/reviews/product/salesforce-sales-performance-management",
    "microsoft-dynamics-365-sales"
  ],
  "maxReviewsPerProduct": 25,
  "reviewSort": "most-recent"
}

{
  "mode": "market",
  "marketSeoName": "sales-force-automation-platforms",
  "marketSort": "averageRating_desc",
  "marketCompanySize": "50M-1B USD",
  "maxItems": 100
}

{
  "mode": "market",
  "marketSeoName": "sales-force-automation-platforms",
  "includeProductDetails": true,
  "maxReviewsPerProduct": 10,
  "maxItems": 50
}

{
  "mode": "categories",
  "maxItems": 500
}

Output: product (type: "product")

• url, productId, productName, productSeoName, productLogoUrl, productLegacy
• vendorId, vendorName, vendorSeoName, vendorDescription, vendorLogoUrl, vendorClaimedStatus
• markets[] — each with id, name, seoName, overview text, last-updated date, and awards
• productDescription, pricingDescription, productOverviewUpdatedAt
• totalReviews, averageRating, ratingsBreakdown (counts for 1–5 stars), dimensionRatings[]
• alternatives[] — competing products with name, seoName, averageRating, totalReviews, logoUrl
• scrapedAt

Market listing rows use the same product type but are leaner: url, productId, productName, productSeoName, vendorName, vendors[], marketSeoName, averageRating, totalReviews, productDescription, hasProfile, legacy, scrapedAt.

Output: review (type: "review")

• reviewId, reviewUrl, productSeoName, productNames
• headline, summary, likes, dislikes (likes/dislikes only when Gartner features the review)
• rating, reviewDate, reviewDateIso
• jobTitle, industry, companySize, reviewerType
• incentivized, reviewOrigin, incentive — Gartner's review-origin and gift disclosures
• source — which section the review came from, scrapedAt

Output: market (type: "market")

marketId, marketName, marketSeoName, marketUrl, marketTitle, marketSubtitle, marketDescription, marketReviewCount, productCount, scrapedAt.

Output: category (type: "category")

marketId, marketName, marketSeoName, marketUrl, isPopularMarket, categoryId, categoryName, categorySeoName, categoryDescription, categoryShortDescription, scrapedAt.

Pagination and depth

• Market listings are fetched in pages of 100 until Gartner's reported product count is reached.
• Reviews are paged one result page at a time. For logged-out visitors each result page exposes one full public review, so the actor pages until maxReviewsPerProduct or the public list ends. useFilters adds one extra query per star rating to surface additional unique reviews.
• Gartner's totalReviews counter includes reviews that are not publicly readable. The dataset therefore contains fewer reviews than the counter by design; this is a source limit, not an actor failure.
• Review text is never fabricated. Gartner's placeholder summaries are omitted.

FAQ

Does this need a Gartner account or cookies? No. It reads the public product, review, market, and category views anonymously.

Do I need a proxy? No. Direct requests are attempted first. If Gartner blocks the network path, the actor escalates automatically; you do not need to configure a proxy.

Can I get every review ever written? No. Gartner exposes only part of each product's review stream to logged-out visitors. The actor collects everything that stream exposes through paging and rating passes up to your cap.

Why is totalReviews larger than the number of review rows? totalReviews is Gartner's full rating count. Public review pages expose one review at a time per result page, so a run with maxReviewsPerProduct: 50 collects at most 50 public reviews unless additional star-rating passes find new ones.

How do I find a market slug? Open the market page and copy the last URL segment: https://www.gartner.com/reviews/market/sales-force-automation-platforms → sales-force-automation-platforms. Full URLs are also accepted.

Are the review and product URLs public? Yes. Review URLs use Gartner's /reviews/review/view/<id> path, and product and market URLs use Gartner's public Peer Insights paths.

Is this affiliated with Gartner? No. This is an independent third-party actor and is not endorsed by Gartner, Inc.