Capterra Reviews Scraper 📝

Turn Capterra software reviews into clean, structured data — by product, by search keyword, or by whole category. Every review comes back with all six ratings parsed, the full reviewer profile, the vendor's reply, and something no other Capterra scraper gives you: the competing products each buyer considered or switched from.

No account. No login. Point it at a product and go.

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What you can do with it

• 📊 Benchmark a product — pull its full review history with every sub-score as a number, ready to average.
• 🔍 Compare a whole category — feed a category page and scrape the top products in one run.
• 🎯 Isolate the reviews that matter — critics only, enterprise only, verified only, a date window, a keyword.
• ⚔️ Win/loss & competitive intel — see which rivals buyers weighed, and get a ranked report of them.
• 📥 Feed anything — export to CSV, Excel, JSON or XML, or pull straight from the API.

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Why this scraper

Most Capterra scrapers hand you a star and the review text. This one gives you the parts that make the data usable for real decisions:

	Typical scraper	This scraper
Ratings	overall star only	all 6: overall, ease of use, customer service, features, value, likelihood to recommend
Reviewer	name	job title, industry, company size, time used, verified status
Competitive intel	✗	✅ alternatives considered + switched from + reasons, per review
Vendor reply	✗	✅ included when present
Inputs	one product	product URLs · search keywords · category pages
Filters	star only	14 filters (rating, company size, role tenure, date, keyword, verified, and more)
Product summary	✗	✅ free per-product summary

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What one review looks like

{
  "productName": "Slack",
  "productCategory": "Business Application",
  "title": "Great for team collaboration",
  "publishedDate": "2026-08-20",

  "overallRating": 5.0,
  "easeOfUseRating": 5.0,
  "customerServiceRating": 5.0,
  "featuresRating": 5.0,
  "valueForMoneyRating": 4.0,
  "likelihoodToRecommend": 10.0,

  "pros": "Channel creation, threaded conversations, and easy integrations.",
  "cons": "Notifications can get noisy on big workspaces.",
  "comments": "Wonderful for keeping the whole team aligned.",

  "timeUsedProduct": "2+ years",
  "verified": true,
  "incentivized": "NoIncentive",

  "alternativesConsidered": ["Microsoft Teams"],
  "switchedFrom": ["Skype for Business"],
  "vendorResponse": null,

  "reviewerName": "Abhishek M.",
  "reviewerJobTitle": "Subject Matter Expert",
  "reviewerIndustry": "Financial Services",
  "reviewerCompanySize": "201-500 employees",
  "reviewerVerifiedLinkedIn": true,
  "reviewUrl": "https://www.capterra.com/p/135003/Slack/"
}

You also get, for free:

• 🏷️ a product summary per product (overall rating, total review count, category) in a separate Products dataset;
• 🧭 a Competitive Intelligence report in the run's storage, ranking the alternatives buyers mention most.

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Inputs — three ways to point it at reviews

field	what it does
productUrls	one or more Capterra product pages (/p/<id>/<name>/)
searchQueries	find products by keyword — top matches are resolved to real products (no guessing by name)
categoryUrls	a Capterra category page — scrapes the products listed on it
maxItems	total cap on reviews saved across the run
maxReviewsPerProduct	cap per product
maxProductsPerQuery	how many top products to take from each search / category
sort	most recent · most helpful · highest / lowest rated · most complete
includeProductAggregate	save the free per-product summary (on by default)

You only pay for reviews that are actually saved — duplicates and filtered-out reviews are never charged.

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🎛️ Filters — keep only the reviews you want

filter	keeps
minOverallRating · maxOverallRating	reviews in a star range — promoters or critics
minLikelihoodToRecommend	reviews with a recommendation score (0–10) at least this high
companySizes	reviewers from companies of these sizes
timeUsedProduct · frequencyOfUse	by how long / how often they used it
industries	reviewers in these industries
reviewedAfter · reviewedBefore	reviews inside a date window
keywords	reviews whose text mentions your terms
onlyVerified	only Capterra-validated reviewers
excludeIncentivized	organic reviews only (no gift-card reviews)
onlyWithVendorResponse	only reviews the vendor publicly replied to
onlyWithAlternatives	only reviews naming a competitor — the win/loss rows

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🧪 Recipes

All reviews for one product, freshest first

{ "productUrls": [{ "url": "https://www.capterra.com/p/135003/Slack/" }],
  "sort": "MOST_RECENT", "maxReviewsPerProduct": 500 }

Just the critics (1–2★), most recent

{ "productUrls": [{ "url": "https://www.capterra.com/p/135003/Slack/" }],
  "sort": "LOWEST_RATED", "maxOverallRating": 2, "maxReviewsPerProduct": 300 }

Win/loss — who buyers switch from

{ "searchQueries": ["project management"], "maxProductsPerQuery": 10,
  "onlyWithAlternatives": true, "maxItems": 1000 }

Then open the COMPETITIVE_INTELLIGENCE report in the run's storage for the ranked rivals.

Enterprise voices only, verified

{ "productUrls": [{ "url": "https://www.capterra.com/p/135003/Slack/" }],
  "companySizes": ["1,001-5,000 employees", "5,001-10,000 employees", "10,000+ employees"],
  "onlyVerified": true }

Benchmark a whole category

{ "categoryUrls": [{ "url": "https://www.capterra.com/project-management-software/" }],
  "maxProductsPerQuery": 25, "maxReviewsPerProduct": 100 }

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📤 Output

Reviews export to CSV, Excel, JSON or XML, with three ready-made views:

• Reviews — product, title, rating, date, reviewer, pros/cons
• Ratings breakdown — the six parsed scores side by side
• Competitive intel — alternatives considered, switched from, reasons, vendor replies

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❓ FAQ

Do I need a Capterra account? No.

How do search queries pick products? They resolve to the top real products with actual reviews — so "slack" returns Slack, not an add-on that merely has "Slack" in its name.

Why do some reviews have no alternatives? Because the reviewer didn't name any. Those fields appear only when the buyer actually listed products they considered or switched from.

Do I pay for empty or duplicate rows? No. Duplicates are removed on the fly and only genuine, saved reviews are counted.

How fresh is the data? Every run is live.

How much does it cost? You pay per review saved, and the price on the page is all-in. The product summary and the competitive-intelligence report are free.