Capterra Software Reviews Scraper — Ratings, Pricing & Review Count

Scrape software listings from Capterra by category or keyword. Get the software name, overall star rating, total review count, starting price, short description, and Capterra URL — ready to export to CSV, JSON, or Excel.

The only reliable Capterra scraper on Apify. All existing competitors are rated below 2/5 and frequently broken.

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What you get

For every software listing on Capterra:

Field	Description
softwareName	Software product name
overallRating	Overall Capterra rating (e.g. "4.5")
reviewCount	Total number of Capterra reviews
pricing	Starting price (e.g. "$25/month", "Free", "Contact vendor")
description	Short product description
url	Direct link to the software page on Capterra
searchQuery	The keyword that produced this result
scrapedAt	Scrape timestamp (ISO 8601)

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How to use

1. Click Try for free
2. Enter software categories or names — one per line
   • CRM · Project Management · Accounting · Salesforce · Help Desk
3. Set Max results per search (default: 20, max: 100)
4. Click Run — results appear in your dataset
5. Export to CSV, JSON, or Excel

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Input parameters

Parameter	Type	Description
searchQueries	array	Software categories or product names
maxResultsPerQuery	integer	Max listings per search (default: 20, max: 100)
proxyConfiguration	object	Proxy settings (residential recommended)

Input example

{
  "searchQueries": [
    "CRM",
    "Project Management",
    "Accounting",
    "Help Desk",
    "HR Software"
  ],
  "maxResultsPerQuery": 50
}

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Output example

{
  "softwareName": "Salesforce Sales Cloud",
  "overallRating": "4.4",
  "reviewCount": "18,247 reviews",
  "pricing": "$25/month",
  "description": "The world's #1 CRM platform. Sales Cloud helps teams close deals faster with AI-powered insights.",
  "url": "https://www.capterra.com/p/66561/Salesforce/",
  "searchQuery": "CRM",
  "scrapedAt": "2026-06-18T09:23:11.000Z"
}

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Use cases

Competitive intelligence — For any software category, get the complete list of competitors with ratings and review counts. Identify who's winning and who's losing customer satisfaction.

Sales prospecting (B2B SaaS) — Find all vendors in a category, then use review counts and ratings to identify which companies have momentum and which are stagnating.

Market research — Analyze the pricing landscape across a software category: minimum, median, and maximum starting prices to understand market positioning.

Investor due diligence — Track whether a target company's Capterra score is improving or declining over time with scheduled runs.

Marketing benchmarking — Know exactly how your software compares to competitors on Capterra's most visible ranking factor (review count × rating).

Agency reporting — Build automated monthly software landscape reports for clients evaluating vendor options in a specific category.

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Popular categories to scrape

CRM · Project Management · Accounting · Payroll · HR
Help Desk · Customer Service · Marketing Automation · Email Marketing
ERP · Business Intelligence · Inventory Management · eCommerce
Video Conferencing · VoIP · Cybersecurity · Recruitment

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Why this scraper is reliable

Capterra runs on a React SPA that changes frequently — which is why all existing Capterra scrapers have ratings below 2/5. This scraper uses multiple CSS selector fallbacks for each field so that if one selector breaks, others continue to work. Residential proxies prevent Capterra's aggressive anti-bot detection.

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Limitations

• Public data only — ratings, review counts, and pricing are publicly visible without login
• Category search — results match Capterra's search algorithm; for full category coverage, use specific category slugs
• Pricing accuracy — Capterra shows "starting from" prices provided by vendors; actual pricing may vary
• Residential proxies required — Capterra blocks datacenter IPs; do not disable proxy settings

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Support

Open a ticket in the Issues tab on the actor page. We actively monitor all issues and maintain compatibility with Capterra's evolving UI. If a category returns zero results, open an issue and we'll investigate the affected selectors.