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Capterra Reviews Scraper

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Scrape Capterra software reviews and product data from product, category or search URLs and keywords. Get ratings, sub-ratings, pros and cons, reviewer role, industry and company size, plus product pricing, features, vendor and alternatives.

⭐ Capterra Reviews Scraper

Scrape Capterra software reviews and product data in one run. Paste product, category or search URLs (or just type keywords) and get every review with its title, star rating, pros, cons, reviewer role, industry, company size, date and sub-ratings, plus a product row with vendor, ratings, pricing plans, features and alternatives. No login, no Capterra account, $1 per 1,000 results.

✨ Why use Capterra Reviews Scraper?

  • 🧾 Reviews and products together: one dataset with review rows and product rows, linked by productId.
  • 🔎 Every way in: product URLs, category pages, Capterra search URLs, product ids or plain keywords.
  • 🎯 Review filters: sort by most helpful, most recent, highest or lowest rating; keep only some star ratings, company sizes, or reviews newer than a date.
  • 📊 Rich product data: overall and sub-ratings, rating distribution, pricing plans, starting price, free trial and free version flags, rated features, alternatives, integrations, deployment, support and training options.
  • ⚡ Fast at volume: about 1,000 reviews of one product in under a minute.
  • 💸 Cheap: a flat $1 per 1,000 rows, whether a row is a review or a product.

🎯 Use cases

  • 🏆 Competitor research: read what users of competing tools praise and complain about, by company size and industry.
  • 🧪 Product feedback mining: pull all pros and cons of your own product into a spreadsheet or an AI pipeline.
  • 📈 Review monitoring: schedule a daily run with "Only reviews written after" to catch new reviews.
  • 🗂️ Market maps: list a whole category with ratings, pricing and vendors for a landscape analysis.
  • 🤝 Lead generation: find vendors in a category and the alternatives buyers compare them with.

🚀 How to use

  1. Paste one or more Capterra URLs into Capterra URLs, or type words into Search keywords.
  2. Set Max products per category or search and Max reviews per product.
  3. Optional: pick a review sort, star ratings, company sizes or a start date.
  4. Click Start and wait for the run to finish.
  5. Download the results as JSON, CSV, Excel or HTML, or read them through the API.

📥 Input

FieldWhat it does
startUrlsProduct pages (/p/79104/Smartsheet/ or its /reviews/ page), category pages (/project-management-software/), search pages (/search/?query=crm) or product ids.
searchKeywordsWords to search on Capterra.
maxProductsProducts per category or keyword (default 10). Product URLs are always scraped.
includeReviewsSave reviews as rows (default on).
maxReviewsPerProductReviews per product (default 20).
reviewsSortmost_helpful, most_recent, highest_rated or lowest_rated.
reviewStarsKeep only these star ratings, for example ["1", "2"].
reviewCompanySizesKeep only reviewers from these company sizes, for example ["51-200", "201-500"].
reviewsNewerThanOnly reviews written on or after a date (2026-01-01) or within a period (3 months).
reviewsOnlySkip the product rows.
{
  "startUrls": ["https://www.capterra.com/p/79104/Smartsheet/"],
  "searchKeywords": ["invoicing"],
  "maxProducts": 10,
  "includeReviews": true,
  "maxReviewsPerProduct": 100,
  "reviewsSort": "most_recent",
  "reviewStars": ["1", "2", "3"]
}

📤 Output

Each row has a type: product or review. The Products and Reviews tabs of the dataset show each kind as a table.

Product fieldDescription
name, vendor, url, productIdProduct, company and Capterra link
rating, reviewCount, ratingDistributionOverall rating, number of reviews, reviews per star
easeOfUseRating, customerServiceRating, functionalityRating, valueForMoneyRatingSub-ratings
pricingStarting price, currency, pricing model, frequency, free trial, free version, plans
featuresFeatures with their rating and number of ratings
alternativesAlternatives Capterra shows, with ratings and starting price
categories, description, deployment, support, training, integrationsProfile details
prosSummary, consSummaryCapterra's summary of what reviewers like and dislike
Review fieldDescription
title, rating, dateHeadline, overall stars (1 to 5), date written
pros, cons, commentsReview text
easeOfUseRating, customerServiceRating, functionalityRating, valueForMoneyRatingSub-ratings (empty when the reviewer skipped them)
recommendationRatingLikelihood to recommend, 0 to 10
reviewerJobTitle, reviewerIndustry, reviewerCompanySize, reviewerTimeUsedProductWho wrote it
reasonsForChoosing, reasonsForSwitching, alternativesConsidered, switchedFromBuying context
incentive, reviewerValidated, vendorResponseReview source and vendor reply

Product row (trimmed):

{
  "type": "product",
  "productId": "268689",
  "name": "BigQuery",
  "vendor": "Google",
  "url": "https://www.capterra.com/p/268689/Google-Cloud-BigQuery/",
  "rating": 4.62,
  "reviewCount": 37,
  "easeOfUseRating": 4.4,
  "customerServiceRating": 3.9,
  "functionalityRating": 4.6,
  "valueForMoneyRating": 4.2,
  "pricing": {
    "startingPrice": 6.25,
    "currency": "USD",
    "pricingModel": "Flat Rate",
    "paymentFrequency": "Per Month",
    "freeTrial": true,
    "freeVersion": true
  },
  "features": [{ "name": "Data Connectors", "rating": 4.5, "reviewCount": 22 }],
  "alternatives": [{ "name": "Google Analytics 360", "productId": "177042", "rating": 4.7, "reviewCount": 8101 }],
  "categories": ["Data Warehouse", "Data Analysis", "Business Intelligence", "Big Data"]
}

Review row (sample values):

{
  "type": "review",
  "reviewId": "1234567",
  "productId": "268689",
  "productName": "BigQuery",
  "title": "Fast queries on huge tables",
  "rating": 5,
  "date": "2026-05-12",
  "pros": "Queries over billions of rows finish in seconds and the console is easy to learn.",
  "cons": "Costs are hard to predict when analysts run large ad-hoc queries.",
  "easeOfUseRating": 4,
  "functionalityRating": 5,
  "valueForMoneyRating": 4,
  "recommendationRating": 9,
  "reviewerName": "Alex R.",
  "reviewerJobTitle": "Data Engineer",
  "reviewerIndustry": "Retail",
  "reviewerCompanySize": "201-500 employees",
  "reviewerTimeUsedProduct": "1-2 years",
  "incentive": "No Incentive Offered"
}

💰 Pricing

You pay $1.00 per 1,000 results ($0.001 per row). A review row and a product row cost the same. Platform usage (compute and browser time) is billed on top and is small: a run of 300 reviews used about $0.015 of platform usage, so 300 reviews cost about $0.32 in total. Set a maximum total charge on the run to cap your spend; the run stops cleanly when it is reached.

❓ FAQ

Is it legal to scrape Capterra? The actor only reads public pages that anyone can open without logging in. Check Capterra's terms and your local laws for your use case, especially for personal data such as reviewer names.

Do I need a Capterra account or a proxy? No. The actor uses a hosted browser that passes Capterra's bot check by itself.

How many reviews can I get? All reviews Capterra lists for a product. Large products have thousands; 1,000 reviews take under a minute.

Why is a field empty? Capterra does not show every field for every product or review. Sub-ratings are empty when the reviewer skipped them, and products without reviews have no rating. Empty fields are left out of the row.

Can I schedule it or use the API? Yes. Schedule runs in the console, or start runs and fetch results through the API. Combine a schedule with "Only reviews written after" to collect new reviews only.

⚠️ Limits

  • Only capterra.com category and search pages are supported. Product pages from other Capterra country sites work (the product id is the same).
  • Search keywords return what Capterra's own search returns, which matches product names.
  • Prices are the ones Capterra shows to US visitors, in the currency the vendor lists.
  • Each run spends about 20 to 40 seconds passing Capterra's bot check before the first result, so very small runs are not instant.
  • Video reviews are not included.

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