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Gartner.com [Only $0.9💰] Reviews Scraper

Try for free

💰$0.9 per 1,000 results. Extracts structured Gartner review data: ratings, company size, industry, job titles, detailed Q&A sections, vendor comparisons, deployment info, and reviewer demographics. Outputs a comprehensive JSON with 50+ fields per review.

Pricing

from $0.90 / 1,000 results

Rating

5.0

(6)

Developer

Muhamed Didovic

Actor stats

Bookmarked

Total users

Monthly active users

a month ago

Last modified

Categories

Automation

Lead generation

Integrations

You can access the Gartner.com [Only $0.9💰] Reviews Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "startUrls": [{ "url": "https://www.gartner.com/reviews/market/it-service-management-platforms/vendor/servicenow/product/servicenow-service-management/reviews?sort=-helpfulness&reviewRating=2&companySize=3%7C4%7C5%7C2" }],
10    "proxy": {
11        "useApifyProxy": True,
12        "apifyProxyGroups": ["RESIDENTIAL"],
13        "apifyProxyCountry": "US",
14    },
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("memo23/apify-gartner-scraper-ppr").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23    print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Gartner.com [Only $0.9💰] Reviews Scraper API in Python

The Apify API client for Python is the official library that allows you to use Gartner.com [Only $0.9💰] Reviews Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Gartner.com [Only $0.9💰] Reviews Scraper API in JavaScript

Gartner.com [Only $0.9💰] Reviews Scraper API through CLI

Gartner.com [Only $0.9💰] Reviews Scraper OpenAPI definition

Gartner.com [Only $0.9💰] Reviews Scraper API

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💰$1.50 per 1,000 per search results. Extracts Product Name, Star Ratings, Review Counts, Vendor Details, Pricing Type, and Sponsorship status. Includes detailed category data. Ideal for market research and competitor analysis.

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Tiktok Ads [only $0.9💰] Scraper

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💰$0.9 per 1,000 results. Unlock TikTok's viral potential with real-time hashtag analytics, audience insights, and trend data—transform raw metrics into winning strategies with precision-scraped engagement stats, demographic breakdowns, and competitive intelligence that keep you ahead in the game.

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$0.9 / 1000 results. A fast and reliable scraper to extract customer reviews from iHerb product pages. It collects review content, ratings, images, verified purchase status, and reviewer profile info, providing structured data for analysis and insights.

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This is Gartner review scraper customized with more requirements need requests for reviews and more details asscoiated with products why would someone purchase and all

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Extract reviews, star ratings, reviewer details, and full product profiles from Gartner Peer Insights. No login required. Scrapes 1,000 reviews in under 60 seconds with parallel fetching. Filter by star rating, sort by most helpful or most recent. Export as JSON, CSV, or Excel.

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Scrape Capterra for B2B software reviews, ratings, pricing, and product comparisons. Extract detailed review text, star ratings, pros/cons, vendor info, deployment options, and pricing tiers. Perfect for competitor analysis, market sizing, software evaluation, and B2B research. Pay only $0.006 per p