Capterra Reviews Scraper API - Pros, Cons & Ratings

Mine software reviews, benchmark competitors or build a SaaS market dataset from Capterra — the reference B2B software review site (its review feed merges Capterra, GetApp and Software Advice), with 2M+ verified reviews across 1,000+ categories.

⚡ Scrape any software product on Capterra by name, URL, search query or category. Reviews mode: every review the site exposes, one row each — overall and the four sub-ratings (ease of use, customer support, functionality, value for money), likelihood to recommend, pros / cons / comments / advice, the reviewer profile (name, job title, industry, company size, time used, LinkedIn verification), alternatives considered, switched-from products and the vendor response — sorted and filtered server-side (rating, company size, reviewer role, length and frequency of use), with no page limit. Products mode: the full product record — rating breakdown, review counts by segment, pricing and plans, feature ratings, integrations, deployment / support / training options, awards, alternatives. No browser rendering per page, pay per result.

What you get

Reviews mode — one row per review

Field	Example
reviewId, source, title, date, url	Capterra___7202161, Capterra, "Corporate Social Media platform", 2026-08-20
overallRating, easeOfUseRating, customerSupportRating, functionalityRating, valueForMoneyRating, likelihoodToRecommend	5, 5, 5, 5, 5, 10
pros, cons, generalComments, adviceToOthers, reasonsForChoosing, reasonsForSwitching	full texts
alternativesConsidered, switchedFrom	["Microsoft Teams"], ["Skype"]
reviewerName, reviewerJobTitle, reviewerIndustry, reviewerCompanySize, reviewerTimeUsed	Abhishek M., Subject Matter Expert, Financial Services, 201-500 employees, 2+ years
reviewerVerifiedLinkedIn, reviewerValidated, reviewerValidations, reviewerAnonymous, reviewerPhotoUrl	true, true, ["LinkedIn", "ProofOfLink"], false
incentive, reviewSourceCode, reviewSourceNote, vendorResponse, vendorResponseDate	NoIncentive, NO, "submitted organically"
Product context: productName, productSeoId, productSlug, productUrl, productRating, productReviewCount, productCategories, productStartingPrice, productPricingModel, productHasFreeTrial, productHasFreeVersion, matchedInput	Slack, 135003, 4.7, 24221, ["Collaboration", "Team Communication"…], 8.75, Per User

Products mode — one row per product

• Identity: name, seoId, slug, url, logoUrl, category, categorySlug, categories, description, shortDescription, longDescription, vendor, operatingSystems.
• Ratings: rating, reviewCount, ratingBreakdown (per star, from category listings), easeOfUseRating, customerSupportRating, functionalityRating, valueForMoneyRating, likelihoodToRecommend, ratingCounts, reviewSentiment (positive / neutral / negative %), reviewsByCompanySize (small / mid-size / enterprise), reviewsPast6Months, reviewsPast12Months, reviewsParticipation.
• Pricing: startingPrice, currency, priceUnit, pricingModel, paymentFrequency, hasFreeTrial, hasFreeVersion, pricingDescription, plans (name, starting price, model, frequency).
• Recognition: awards, shortlistBadges, easeOfUseBadges, valueBadges.
• Capabilities: features (each with its rating, review count and summary), featureCount, categoryFeatures, integrations (name, Capterra URL, review count), integrationCount, deploymentOptions, supportOptions, trainingOptions, targetCompanySizes.
• Market: alternatives (name, rating, review count, URL).

Turn on Flatten rows for spreadsheet-ready columns (reviewSentiment_positive, features as a joined list plus features_json…).

Inputs

Field	Type	Default	Meaning
Products	products	["Slack"]	Product names ("HubSpot CRM", "monday.com") resolved through Capterra's own search, or product URLs.
Search queries	searchQueries	—	Free-text searches; the top results become products (see maxProductsPerSearch, max 20).
Categories	categories	—	Category slugs or URLs ("human-resource-software"); the listed products become products (see maxProductsPerCategory, 0 = whole category).
Data type	dataType	reviews	reviews / products.
Review order	reviewSort	most_helpful	most_helpful / most_recent / highest_rated / lowest_rated.
Review filters	ratings, companySizes, reviewerRoles, usageLengths, usageFrequencies	—	Applied by Capterra itself; you only pay for matching reviews.
Max reviews per product	maxReviewsPerProduct	100	0 = every review the site exposes.
Product details	includeProductDetails	on	Products mode: read the product and reviews pages of each product (two requests) for the full record. Off = listing facts only (a 1,700-product category in ~40 requests).
Maximum rows	maxItems	200	Total cap — the number of results you pay for. 0 = everything.
Flatten rows	flatten	off	Flat columns for CSV/Excel.
Input status report	emitInputStatus	on	OUTPUT lists each input, the product it resolved to, Capterra's review count and what was collected.

Examples — all live-verified

1. The 500 most recent Slack reviews

{ "products": ["Slack"], "reviewSort": "most_recent", "maxReviewsPerProduct": 500 }

2. Critical reviews from small companies, spreadsheet export

{ "products": ["monday.com"], "ratings": ["1", "2"], "companySizes": ["1_10", "11_50"], "reviewSort": "most_recent", "maxReviewsPerProduct": 200, "flatten": true }

3. Every review of a product, from its URL

{ "products": ["https://www.capterra.com/p/135003/Slack/"], "maxReviewsPerProduct": 0, "maxItems": 0 }

4. Full product records for the top CRM search results and two named products

{ "dataType": "products", "products": ["Notion", "Asana"], "searchQueries": ["crm"], "maxProductsPerSearch": 5 }

5. A whole category as a market dataset (one request per listing page, ~50 products each)

{ "dataType": "products", "categories": ["human-resource-software"], "maxProductsPerCategory": 0, "includeProductDetails": false, "maxItems": 0 }

Why this scraper

• Complete — Capterra's page numbers stop at 100; this Actor follows the site's own review cursor instead, so a product with 24,000 reviews is read in full (25 reviews per request, ~60 reviews/second).
• Every filter wired — sort and filters are sent to Capterra as server-side filters, so you pay only for matching reviews.
• Four ways in — product names, product URLs, search queries and whole categories, deduplicated by product.
• Honest reporting — the input_status report in OUTPUT shows, per input, the product it resolved to, Capterra's review count and what was collected.
• Fast and cheap — the session is prepared once in a few seconds and refreshed automatically; everything else is plain HTTP.

FAQ

Is this legal? The Actor reads only publicly displayed reviews and product pages, the same ones any visitor sees. Reviewer names are the public display names Capterra shows. You are responsible for using the output in compliance with applicable laws and Capterra's terms.

A product name resolves to the wrong product? Give the product URL instead (https://www.capterra.com/p/{id}/{slug}/) — the input_status report shows which product each name resolved to.

Which reviews are included? Everything Capterra shows in the product's review feed, which merges Capterra, GetApp and Software Advice reviews (see the source field).

Why does ratingBreakdown only appear for category inputs? Capterra publishes the per-star breakdown on category listings; product pages show the overall rating, sub-ratings and sentiment instead.

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Looking for more review data? See the rest of the family: Trustpilot, Glassdoor Reviews, Indeed Reviews, Kununu, Levels.fyi.