Capterra Reviews Scraper

Scrape Capterra software reviews and product profiles: overall and per-category ratings, pros and cons, likelihood to recommend, reviewer job title, industry and company size, time used, switched-from and alternatives-considered products, pricing plans, features, deployment options, integrations, awards and alternatives. Works for any product, category or search page, and also reads GetApp and Software Advice pages (the same Gartner Digital Markets data).

Built for reliability: plain HTTP with browser TLS fingerprinting, no headless browser, no login. Reviews come from the same JSON the site's own "Sort by" control uses, so you get 25 reviews per ~45 KB request instead of parsing 700 KB pages, with real sorting (most recent, most helpful, highest, lowest) and star filters. You pay per item, nothing else.

What data does Capterra Reviews Scraper extract?

Review items (mode: reviews, default):

Field	Description
productId, productName, productUrl	Capterra product id (135003 in /p/135003/Slack/), name and URL
reviewId	Stable review id, e.g. Capterra___7189737 (GetApp / Software Advice reviews share the same pool)
title	Review title
overallRating	1-5
easeOfUse, customerService, features, valueForMoney	Sub-ratings 1-5 (null when the reviewer skipped one)
likelihoodToRecommend	0-10
pros, cons, overall	Pros, cons and the "Overall experience" text
adviceToOthers	Advice text when present
switchedFrom, reasonsForSwitching	Products the reviewer switched from and why
alternativesConsidered, reasonsForChoosing	Alternatives considered and why this product was chosen
usedFor	Time used: "Less than 6 months", "6-12 months", "1-2 years", "2+ years", "Free trial"
frequency	Usage frequency (Software Advice pages only: "Daily", "Weekly", ...)
reviewerName	Reviewer name as the review card shows it: first name and last initial ("Lorenzo F."), or the site's label for anonymous reviewers ("Verified Reviewer", "Anonymous User"). null on GetApp pages (see below)
reviewerRole, reviewerIndustry, companySize	Job title, industry and company size band ("11-50 employees")
reviewDate	ISO date (2026-07-25)
source	Where the review was collected: "Capterra", "GetApp" or "Software Advice"
isVerified	Reviewer identity was validated (LinkedIn / business email / proof of use)
isIncentivized, incentive	Whether a nominal gift card was offered (NominalGift)
vendorResponse	Vendor reply text when present
url	Page the review was collected from

Only the shortened name the sites display is exported: Software Advice embeds the full last name in its page data but shows only the initial, so only the initial is kept. GetApp pages carry full names without the reviewer's anonymity choice, so reviewerName is null for reviews read from GetApp. Reviewer photos are not collected. Capterra has no public reviewer profiles, so there is no reviewer profile URL, reviewer id or LinkedIn URL to export.

Product items (mode: products): name, vendor, description, overallRating, reviewCount, ratings (ease of use, customer service, features, value for money, likelihood to recommend), ratingDistribution (1-5 star counts), recommendPercent, startingPrice, currency, pricingModel, paymentFrequency, freeTrial, freeVersion, creditCardRequired, pricingDescription, pricingPlans (name, price, model, included features), categories, features (105+ features with per-feature rating and review count), topFeatures, deployment, platforms, supportOptions, trainingOptions, targetCompanySizes, alternatives (name, URL, rating, review count), integrations, integrationCount, awards (Shortlist, Top Rated, Best Ease of Use, ...), prosSummary, consSummary, topIndustries, companySizeBreakdown, jobFunctions, comparisons, logoUrl, screenshots, websiteUrl (GetApp / Software Advice pages), lastUpdated.

Category cards (mode: category): position, name, url, category, overallRating, reviewCount, ratings, ratingDistribution, tagline, description, startingPrice, freeTrial, freeVersion, vendor, topFeatures, segmentReviewCounts (small / mid-size / enterprise), isSponsored, badges, logoUrl.

How to use Capterra Reviews Scraper

1. Paste one or more URLs into Start URLs: a product page (https://www.capterra.com/p/135003/Slack/), its reviews page, a category page (https://www.capterra.com/project-management-software/) or a search page (https://www.capterra.com/search/?query=crm). Or type product names into Product names and the top Capterra search hit is used.
2. Pick What to scrape: reviews (default), product profiles, or category cards.
3. Set Max items and, for category runs, Max reviews per product so the budget is spread across products.
4. Choose Sort reviews (most recent by default) and optionally Only these star ratings (e.g. 1, 2 for complaints).
5. Click Start. Results appear in the Dataset tab; export as JSON, CSV or Excel, or read them through the API.

Input example

{
  "startUrls": [
    { "url": "https://www.capterra.com/p/135003/Slack/reviews/" },
    { "url": "https://www.capterra.com/customer-relationship-management-software/" }
  ],
  "searchTerms": ["Asana"],
  "mode": "reviews",
  "maxItems": 500,
  "maxReviewsPerProduct": 100,
  "sortReviews": "most_recent",
  "ratingFilter": []
}

Output example

{
  "type": "review",
  "productId": "135003",
  "productName": "Slack",
  "productUrl": "https://www.capterra.com/p/135003/Slack/",
  "reviewId": "Capterra___7209621",
  "title": "Can't work without",
  "overallRating": 4,
  "easeOfUse": 5,
  "customerService": 3,
  "features": 5,
  "valueForMoney": 4,
  "likelihoodToRecommend": 8,
  "pros": "Its ease of use and flexibility. The way you can open a new chat and a channel to share with others is the best",
  "cons": "Just as a personal point of view, the UI is not as modern as other tools are made. Some changes could help improve.",
  "overall": "I use Slack as a professional live chat tool. Not only with colleagues, but also to communicate with external partners.",
  "switchedFrom": ["Discord"],
  "reasonsForSwitching": "Many features were under expensive plans",
  "alternativesConsidered": [],
  "usedFor": "2+ years",
  "reviewerName": "Lorenzo F.",
  "reviewerRole": "Marketing and sales manager",
  "reviewerIndustry": "Computer Software",
  "companySize": "11-50 employees",
  "reviewDate": "2026-09-05",
  "source": "Capterra",
  "isVerified": true,
  "isIncentivized": true,
  "incentive": "NominalGift",
  "vendorResponse": null,
  "url": "https://www.capterra.com/p/135003/Slack/reviews/"
}

Proxy note

Capterra now serves a Cloudflare challenge to datacenter and residential proxies alike, so this Actor uses Apify's Unblocker proxy by default. Unblocker is billed to your Apify account per successful request (10 Unblocker units, about $0.0015 on the free plan and less on paid plans), and one request returns up to 25 reviews, so proxy cost stays well under the per-review price. In Unblocker mode reviews come in Capterra's default (most helpful) order; the sort and star-rating filters need the site's internal sort endpoint, which only works if you switch the proxy to residential and Capterra is not challenging at the time.

How much does it cost?

Pay per item: $0.002 per review, $0.004 per product profile (two page fetches), $0.001 per category card, plus normal Apify platform usage (a few cents per thousand reviews). No start fee, no subscription. 1,000 reviews cost about $2 all-in on the free plan.

How do I scrape all reviews of a product?

Use the product's reviews URL and raise Max items and Max reviews per product. Reviews are paged 25 at a time with a cursor, so products with tens of thousands of reviews (Slack has 24,000+) can be collected in full in one run. Sorting by most recent and scheduling the actor weekly is the cheapest way to keep a review feed up to date; deduplicate on reviewId.

Monitor changes on a schedule

Turn on Only new or changed items and save the input as a task with a Schedule (Apify Console: Saved tasks -> Schedule, for example daily). Each run then remembers what earlier runs of the same input returned and outputs only what is new: reviews no earlier run saved in reviews mode, products whose rating or starting price changed in products mode, and products that are new to the list or whose rating or price changed in category mode. Unchanged items are skipped before they are saved, so they are not charged. Reviews are then read newest first: through the default Unblocker proxy that is the product page, which shows Capterra's 25 newest reviews, so a daily check of a product is one request (if more than 25 reviews arrive between two runs, the run notes it as moreNewThanShown; schedule busy products more often). Add Only reviews newer than (2 days, 24 hours or a date like 2026-10-01) to bound how far back a run reads. Monitored items carry changeType (new or changed) and, for changed products, previousValues with the old values of the fields that changed (e.g. {"startingPrice": 8.75}); use Monitoring key to keep several schedules on the same input apart.

Can I get only negative reviews?

Yes. Set Only these star ratings to 1, 2 (or any subset of 1-5) and Sort reviews to "Lowest rating". The filter is applied by Capterra itself, so you do not pay for reviews you do not want.

Does it work with category pages?

Yes. A category URL such as https://www.capterra.com/customer-relationship-management-software/ is paginated automatically (25 products per page). In reviews mode every product in the category is opened and up to Max reviews per product reviews are saved per product; in products mode each product gets a full profile; in category mode you get the ranking cards only (cheapest way to list a whole category with ratings, review counts and pricing flags).

Does it support GetApp and Software Advice?

Partly. GetApp product and category pages and Software Advice profile / reviews pages are read directly (product profiles are complete and include the vendor website). Those sites only embed a sample of reviews though (6 on GetApp, 25 on Software Advice) and have no public review pager, so for the full review list use the Capterra URL of the same product; the review pool and ids are shared across the three sites.

Does it work without login or a browser?

Yes. Everything comes from public pages served to anonymous visitors, read with plain HTTP requests and Chrome TLS fingerprinting. No account, cookies or headless browser, which keeps runs fast (about 1 second per 25 reviews) and cheap.

Integrations and API

Use the run in Zapier, Make, n8n, Google Sheets, or call it from Python/Node with the Apify client. See the API tab for ready-made snippets. Schedule it to monitor new reviews of your product or your competitors.

Is it legal to scrape Capterra?

This actor collects only publicly available data: review texts and ratings, the reviewer name exactly as the review shows it publicly (first name and last initial, or "Verified Reviewer" for anonymous reviews), reviewer job title, industry and company size band, and product / vendor business information. Reviewer names are personal data, so if you store or process them, data-protection law such as the GDPR may apply to you. The actor does not collect reviewer photos, full last names or any contact details. You are responsible for how you use the data and for complying with Capterra's terms and applicable law.

Support

Found a bug or need a field added? Open an issue in the Issues tab; it is usually answered within a day.