Gartner Peer Insights Market Scraper — Definition & Size ✅

Gartner Peer Insights Market Scraper — Definition & Size ✅

Get a Gartner Peer Insights market by alias or URL: Gartner's definition, number of reviews and products, parent category, and the features and research the page lists. One market per run. No API key, no account and no cookies required.

✨ Why this Actor

• Gartner's own definition of the market, ready for a market-map or a sales deck.
• Market size signals — number of reviews and of products reviewed.
• Parent category with its link, to walk the taxonomy.
• Every field in its own column. Nested blocks are flattened into their own columns, so the table and a CSV export show everything.
• Billed only for a completed lookup. A blocked page or an upstream error fails the run and costs nothing.

🔧 How it works

1. Enter market alias or URL.
2. The Actor calls the Neuralverge data engine, which reads the public page.
3. The result is written as one dataset row.

Input

Field	Meaning
market	The market alias from a Gartner Peer Insights URL, e.g. data-loss-prevention, or the URL itself. One market per run.

{
  "market": "data-loss-prevention"
}

What you'll receive

One row with these columns: market, id, refId, name, alias, subtitle, description, reviewCount, productCount, isService, parentCategoryName, parentCategoryAlias, parentCategoryUrl, featuresUpdatedAt, mandatoryFeatures, commonFeatures, reviewGuidanceKeywords, researchDocuments, lessonsLearned, url.

Every field the source returns becomes a column, so a field added on the source side shows up as a new column rather than disappearing. Lists (images, tags, alternatives) stay lists. Everything arrives in a single Output tab: no preview view hides any field.

Example output (real run)

{
  "market": "data-loss-prevention",
  "id": "412",
  "refId": "412",
  "name": "Data Loss Prevention",
  "alias": "data-loss-prevention",
  "subtitle": "What is Data Loss Prevention?",
  "description": "Gartner defines data loss prevention (DLP) as a technical control designed to prevent data loss in order to comply with personal data regulations, prevent unintended disclosure, minimize insider risk and ensure that sensitive data is not overly accessible.",
  "reviewCount": 3515,
  "productCount": 93,
  "isService": null,
  "parentCategoryName": "IT Security",
  "parentCategoryAlias": "it-security",
  "parentCategoryUrl": "https://www.gartner.com/reviews/markets/it-security",
  "featuresUpdatedAt": null,
  "mandatoryFeatures": [],
  "commonFeatures": [],
  "reviewGuidanceKeywords": [],
  "researchDocuments": [],
  "lessonsLearned": null,
  "url": "https://www.gartner.com/reviews/market/data-loss-prevention"
}

When the lookup completes but finds nothing, the run writes one explicit row instead:

{"market": "data-loss-prevention", "found": false, "message": "..."}

Pricing

Pay per result, charged per dataset row. Starting the Actor is free and there is no minimum charge per run. Each run writes exactly one row.

• A completed lookup that finds nothing writes the single found: false row above, billed as one result — the work was performed either way.
• A run that fails is never charged: missing or invalid input, an upstream error, a timeout, and a page that was never retrieved all write nothing.

Free plan limits

On the Apify Free plan this Actor can be started 5 times per calendar month per user. Every Neuralverge Actor has its own allowance, and a run that finds nothing counts towards it. Any paid Apify plan removes the limit.

Integrations & API

The dataset is available through the Apify API, and the Actor can be called from Apify Integrations, scheduled, or chained into another Actor like any other. Rows export to JSON, CSV, Excel and Google Sheets.

FAQ

Why are the feature and research columns empty? Many markets publish no feature list or research on Gartner Peer Insights. The columns are there for markets that do.

Can I look up many at once? Each run takes one input value. Start several runs in parallel or loop over your list with the Apify API.

Do I need a Gartner Peer Insights account or cookies? No.

Disclaimer

This Actor collects publicly available information from Gartner Peer Insights pages. It is not affiliated with, endorsed by or sponsored by Gartner Peer Insights; all trademarks belong to their owners. It does not log in, does not use cookies, and does not access personal accounts. You are responsible for how you use the data, including compliance with applicable laws and the terms of the source website.