Gartner Scraper
Scrape Research and Ratings from Gartner
Extract Magic Quadrant placements, Peer Insights ratings, and market research from the world's leading technology advisory firm. Gartner sits behind Cloudflare and blocks bots. Scrape.do handles it automatically.
Start scraping today with 1000 free credits. No Credit Card Required
1.8M Monthly Visits. Every Tech Market. One API.
Gartner is the world's leading technology research and advisory firm, and its Magic Quadrant rankings and Hype Cycles shape enterprise IT buying across 600+ markets. Peer Insights carries verified user ratings for thousands of products, and Gartner's analyst positions are cited in vendor marketing everywhere, which is exactly why competitive-intelligence teams track them.
With Scrape.do you can track Magic Quadrant placements and movements over time, monitor Peer Insights ratings and review volume by market, capture research coverage and event agendas, and benchmark where vendors sit against competitors. All through a single API call.
Cloudflare. Bot Verification. Handled.
Gartner is fronted by Cloudflare, which serves a branded "verify you are human" challenge to any request that is not a real browser, including Python requests, cURL, and datacenter proxies. Many Gartner pages, including Peer Insights, are JavaScript-rendered, so even past the challenge a raw fetch returns an empty shell.
Scrape.do rotates high-quality residential IPs with full browser fingerprints, clears the Cloudflare challenge, and renders the JavaScript so you get fully populated research and ratings HTML. You get clean Magic Quadrant and Peer Insights data without maintaining proxy pools or CAPTCHA solvers.
How to Scrape Gartner
Select a Target
Send API Request
import requests
import urllib.parse
token = "<SDO-token>"
targetUrl = "https://www.gartner.com/en/research/magic-quadrant"
render = "false" # set to "true" to enable JavaScript rendering
super = "false" # set to "true" to enable residential proxies
geoCode = "us"
encodedUrl = urllib.parse.quote(targetUrl)
url = f"https://api.scrape.do/?token={token}&url={encodedUrl}&render={render}&super={super}&geoCode={geoCode}"
response = requests.get(url)
print(response.text)Get HTML
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Gartner Magic Quadrant & Critical Capabilities Research</title>
</head>
<body>
<h1>Which major technology markets is Gartner covering?</h1>
<section class="magic-quadrant-methodology">
<p>Magic Quadrant provides a graphical competitive positioning of four
types of technology providers: Leaders, Visionaries, Niche Players,
and Challengers.</p>
</section>
<table class="research-index">
<tr><th>Market</th><th>Last Updated</th><th>Refresh Date</th></tr>
<tr><td>Data Science and Machine Learning Platforms</td><td>...</td></tr>
<!-- ... 600+ market rows ... -->
</table>
</body>
</html>
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Sounds great, but I have a few questions..
Yes. gartner.com is fronted by Cloudflare, which shows a "verify you are human" challenge to any request that is not a real browser, including Python requests, cURL, and datacenter proxies. Scrape.do rotates real residential IPs with full browser fingerprints, clears the Cloudflare challenge, and renders JavaScript to return fully populated research and ratings HTML. Success rates exceed 95% on research and reviews pages.
You can extract Magic Quadrant market coverage and methodology, research index tables of markets and refresh dates, Peer Insights product ratings and review counts, category definitions, top-rated vendor lists, and event and conference information across Gartner’s technology, marketing, and supply-chain research.
Some Gartner pages are server-rendered, but many, including Peer Insights reviews, build their content client-side. For those, add render=true so Scrape.do executes the page JavaScript in a real browser and returns the fully populated ratings and research content instead of an empty shell.
