Gartner Peer Insights Scraper

For SaaS PMs, competitive analysts, and MCP agents who need structured B2B software review evidence. This Actor extracts public Gartner Peer Insights product ratings, vendor profiles, market product lists, and review samples into dataset rows with fields such as averageRating, reviewCount, headline, and productUrl. Optional caller-owned Peer Insights cookie unlocks paginated api3 review catalogs.

Focused standalone workflow

This Actor is designed as a focused standalone workflow for Peer Insights public pages. An analyst starts with product or market URLs, runs with Apify UNBLOCKER, then exports dataset rows into a comparison sheet or CRM research queue. For multi-platform review aggregation across G2/Capterra instead of Peer Insights, use software-reviews-all-in-one-scraper after you finish the Gartner shortlist.

Best fit

Choose this Actor when you have Peer Insights product URLs, SEO slugs, or market category URLs and need ratings, vendor context, and public review text in a flat Pay-per-event dataset.

It works well for category shortlists from market pages and for bounded product deep-dives that stay on publicly visible Peer Insights pages. Pair it with software-reviews-all-in-one-scraper when the next step is a cross-platform review corpus rather than Peer Insights alone.

Practical scenario

A SaaS PM pastes a Zoom Meetings product URL, keeps Apify UNBLOCKER on, and sets maxReviewsPerProduct to 5. The run then returns one product summary plus public review/highlight rows. Next they export the dataset and compare ratings against an internal shortlist.

Best results

• Prefer exact productUrls or marketUrls over free-text searchTerms when you already have canonical Gartner links.
• Keep proxyConfiguration.apifyProxyGroups on UNBLOCKER; that route is what consistently clears Cloudflare for these pages.
• Start with a small maxReviewsPerProduct / maxProducts to confirm the slug, then raise caps for production batches.
• Confirm market SEO names from a live Peer Insights market page before bulk runs.
• Supply a caller-owned Peer Insights cookie only when you need fuller authenticated review catalogs beyond the public sample.

Quick start input

{
  "productUrls": [
    "https://www.gartner.com/reviews/product/zoom-meetings"
  ],
  "maxReviewsPerProduct": 5,
  "includeProductSummary": true,
  "includeReviewHighlights": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["UNBLOCKER"]
  }
}

Market mode:

{
  "marketUrls": [
    "https://www.gartner.com/reviews/market/meeting-solutions"
  ],
  "maxProducts": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["UNBLOCKER"]
  }
}

Input reference

Field	Type	What it controls
productUrls	array	Product or reviews URLs (short /reviews/product/{slug} or long market/vendor/product paths).
marketUrls	array	Market category URLs returning product cards.
productSlugs	array	SEO slugs without a full URL.
searchTerms	array	Best-effort slugified product name hints (not a full Gartner site search API).
maxReviewsPerProduct	integer	Cap on review/highlight rows per product (default 5, max 500).
maxProducts	integer	Cap on market product cards (default 20, max 200).
includeProductSummary	boolean	Save a product profile row (default true).
includeReviewHighlights	boolean	Save likes/dislikes highlight rows (default true).
sessionCookie	secret string	Caller-provided Peer Insights Cookie header for authenticated api3 pagination.
proxyConfiguration	object	Prefer Apify UNBLOCKER for Cloudflare-protected pages.

Output data

Field	Description
recordType	product, review, or review-highlight
productName / vendorName	Display names
averageRating / reviewCount	Aggregate metrics on product rows
rating / headline / summary	Review fields
jobTitle / industryName / companySize	Reviewer firmographics when public
likeText / dislikeText	Highlight snippets
productUrl / sourceUrl	Provenance
scrapedAt	ISO 8601 timestamp

Example review row:

{
  "recordType": "review",
  "reviewId": "6966038",
  "headline": "Good video conferencing product",
  "rating": 4,
  "jobTitle": "IT Associate",
  "industryName": "Software",
  "companySize": "1B-10B USD",
  "productName": "Zoom Meetings",
  "productUrl": "https://www.gartner.com/reviews/product/zoom-meetings",
  "scrapedAt": "2026-01-15T12:00:00.000Z"
}

Pricing

Pay per event + platform usage (isPPEPlatformUsagePaidByUser: true). The live Pricing tab is the current source of truth after deployment.

Event	Price	When charged
apify-actor-start	$0.00005	Once per run (memory-scaled)
review-scraped (primary)	$0.006	Each review or likes/dislikes highlight row saved
product-found	$0.008	Each product profile or market product card saved

Worked cost example for a bounded Zoom Meetings prefill-style run with one product summary plus a couple of public highlight records: $0.00005 + $0.008 + (two × $0.006) = $0.02005 in named PPE events, plus Unblocker/compute platform usage. Invalid inputs and truthful empty products are not charged row events.

API example

curl "https://api.apify.com/v2/acts/khadinakbar~gartner-peer-insights-scraper/runs?token=$APIFY_TOKEN" \
  -H 'Content-Type: application/json' \
  -d '{
    "productUrls": ["https://www.gartner.com/reviews/product/zoom-meetings"],
    "maxReviewsPerProduct": 5,
    "includeProductSummary": true,
    "includeReviewHighlights": true,
    "proxyConfiguration": {
      "useApifyProxy": true,
      "apifyProxyGroups": ["UNBLOCKER"]
    }
  }'

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('khadinakbar/gartner-peer-insights-scraper').call({
  productUrls: ['https://www.gartner.com/reviews/product/zoom-meetings'],
  maxReviewsPerProduct: 5,
  proxyConfiguration: { useApifyProxy: true, apifyProxyGroups: ['UNBLOCKER'] },
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

MCP / AI agent

MCP tool name: apify--gartner-peer-insights-scraper.

Scrape Zoom Meetings Peer Insights public ratings and review samples with UNBLOCKER, then return dataset rows and note COMPLETE vs VALID_EMPTY vs UPSTREAM_FAILED.

Agent guidance: prefer productUrls/marketUrls over searchTerms; public pages yield a focused sample unless a caller-owned cookie is set; retry with UNBLOCKER when Cloudflare challenges appear; pagination is caller-driven via maxProducts / maxReviewsPerProduct caps. Partial runs keep successful rows and mark PARTIAL.

Outcomes

Outcome	Meaning
COMPLETE	All targets produced useful rows
PARTIAL	Some targets were invalid or incomplete
VALID_EMPTY	Valid targets, no public rows
INVALID_INPUT	No usable Gartner targets
UPSTREAM_FAILED	Cloudflare/anti-bot challenge on every request
CONFIG_ERROR	Proxy/config is unavailable at start

Every run writes OUTPUT and RUN_SUMMARY with itemsPushed and chargedEventCounts.

Scope and recovery guidance

Provide UNBLOCKER for Cloudflare-protected Peer Insights pages. Start with known product or market URLs, validate one slug, then scale caps. When a public sample is enough, leave the cookie empty. When authenticated catalogs are authorized, supply a caller-owned Cookie header for that run only. Invalid hosts finish as INVALID_INPUT with zero row charges; Cloudflare-challenged routes finish as UPSTREAM_FAILED so operators can adjust proxy settings.

Builder's note

I built this Actor after finding that plain datacenter HTTP consistently hits Gartner Cloudflare challenges, while Apify Unblocker returns the Next.js RSC embeds that carry initialProductInfo, initialRatings, and market products arrays. I designed the public contract around those embeds so agents get honest product and sample-review rows without implying a login bypass. In my testing, empty Unblocker shells still happen occasionally, so the runtime retries product parses before recording a truthful empty outcome.

Differentiation

This Actor documents the public-page boundary clearly, ships MCP-ready schemas, PPE + usage pass-through, Unblocker-first transport, market discovery, and optional caller-owned authenticated pagination—while staying scoped to Peer Insights public pages and optional caller-owned authenticated catalogs.

Legal / responsible use

Use only for lawful purposes and respect Gartner's terms of service. Public pages and caller-owned sessions only. Callers supply only cookies they are authorized to use for that run. Gartner and Peer Insights are trademarks of their owners. This independent Actor is not affiliated with, associated with, or endorsed by Gartner.