Capterra Reviews Scraper: software reviews as clean JSON

Paste a Capterra product link, get every review that product's page will show you, as structured rows you can drop into a spreadsheet, a BI tool or a prompt. You get the full pros and cons text, the overall star rating plus the four sub-ratings Capterra collects, and the reviewer's job title, industry and company size, so you can slice sentiment by who actually said it.

No API key. No Capterra account. No monthly subscription. One flat price per review, platform usage included.

What you get per review

Field	What it is
title, pros, cons, overallComment	The full review text, not a truncated preview
overallRating	Stars out of 5
easeOfUseRating, customerSupportRating, functionalityRating, valueForMoneyRating	The four sub-ratings Capterra asks every reviewer for
recommendationRating	Likelihood to recommend, 0 to 10
reviewerJobTitle, reviewerIndustry, reviewerCompanySize	Who wrote it (company size is a bucket like "11-50 employees")
timeUsedProduct	How long they had used the product, for example "2+ years"
reviewerName, reviewerVerifiedLinkedIn, reviewerValidations	Reviewer identity when it is public, null when the review is anonymous
alternativesConsidered, switchedFrom	The competing products named in the review (only when the row came from capterra.com, see below)
reasonsForChoosing, reasonsForSwitching	Why they picked this product, in their words (capterra.com rows only)
incentivized, incentiveNote, reviewSource	Whether Capterra gave the reviewer an incentive, and which Gartner site collected it
vendorResponse, vendorResponseDate	The vendor's public reply, when there is one (capterra.com rows only)
reviewerCountry	The reviewer's country when the card states it
reviewDate, reviewDateTime, reviewUrl, sourceUrl, sourceEdition, scrapedAt	Provenance for every row: sourceEdition says which Capterra edition served it

You also get one free recordType: "product" row per product with the rating breakdown and the total review count on Capterra. It is not charged.

Who uses it

Product and competitive-intelligence teams pulling a rival's last two years of reviews to find the complaints that keep repeating. SaaS founders building a battlecard from switchedFrom and reasonsForSwitching. Agencies and analysts feeding review text into an LLM for theme extraction, where the sub-ratings and the company-size bucket are what make the output worth reading. Anyone who wants "reviews from companies with 11-50 employees who used it 2+ years" without reading 2,000 pages by hand.

Input examples

Simplest possible run, one product:

{
  "productUrls": ["https://www.capterra.com/p/135003/Slack/reviews/"]
}

Several products, capped so you can price the run before committing:

{
  "productUrls": [
    "https://www.capterra.com/p/135003/Slack/reviews/",
    "https://www.capterra.com/p/168668/Microsoft-Teams/reviews/",
    "175800/Chat"
  ],
  "maxReviewsPerProduct": 500
}

A product page URL works as well as a reviews URL, and a bare 135003/Slack reference works too. If you paste something that is not a Capterra product link, the run ends cleanly with a message telling you what was wrong instead of failing.

How it works

Capterra has no public reviews API, and every Capterra edition shares one review database (Gartner Digital Markets): a product has the same numeric ID and the same reviews on capterra.com and capterra.co.uk. The actor reads the capterra.co.uk edition first, plain server-rendered HTML over plain HTTP, newest first, 25 reviews a page, with no browser and no proxy, which is why the price can stay flat and low. If a request is challenged, the actor retries the same page from a fresh exit (datacenter, then residential proxy, at its own expense), and only if the whole .co.uk edition is unreachable does it fall back to capterra.com, so you get the reviews either way.

The two editions render slightly different card details. Every row has the text, the ratings, the reviewer facts and the provenance; the fields marked "capterra.com rows only" above are extras the .com edition shows and the .co.uk edition does not, so they are null on sourceEdition: "capterra.co.uk" rows. Dates on .co.uk rows are exact to the day, and to the second (reviewDateTime) when the page's structured data carries the timestamp.

Output sample

{
  "recordType": "review",
  "reviewId": "Capterra___7138840",
  "productId": "135003",
  "productSlug": "Slack",
  "productName": "Slack",
  "title": "Solid product for teams",
  "reviewDate": "2026-04-27",
  "writtenOn": "April 27, 2026",
  "overallRating": 5,
  "easeOfUseRating": 5,
  "customerSupportRating": 3,
  "functionalityRating": 5,
  "valueForMoneyRating": 5,
  "recommendationRating": 9,
  "pros": "An amazing product that truly allows teams to connect, collaborate and communicate with ease. It is extremely easy to share files via drag-and-drop, and there are almost no bugs or issues.",
  "cons": "Obviously it is a premium product and it comes at a premium price. It would be better if it were more affordable for charities, but getting into their discounted program is not straightforward.",
  "overallComment": null,
  "adviceToOthers": null,
  "reasonsForChoosing": "Slack is much more professional and easy to use",
  "reasonsForSwitching": "Microsoft Teams is outrageously expensive and Slack is much easier to use.",
  "alternativesConsidered": ["GroupMe"],
  "switchedFrom": ["Microsoft Teams"],
  "reviewerName": null,
  "reviewerJobTitle": "President",
  "reviewerIndustry": "Non-Profit Organization Management",
  "reviewerCompanySize": "11-50 employees",
  "timeUsedProduct": "2+ years",
  "reviewerVerifiedLinkedIn": true,
  "reviewerValidations": ["LinkedIn", "ProofOfLink"],
  "incentivized": false,
  "incentiveNote": "No Incentive Offered: This review was submitted organically.",
  "reviewSource": "Capterra",
  "vendorResponse": null,
  "vendorResponseDate": null,
  "reviewUrl": "https://www.capterra.com/p/135003/Slack/reviews/#Capterra___7138840",
  "sourceUrl": "https://www.capterra.com/p/135003/Slack/reviews/?page=2",
  "scrapedAt": "2026-08-06T01:39:47.995Z"
}

And the free product row that comes with it:

{
  "recordType": "product",
  "productId": "135003",
  "productName": "Slack",
  "overallRating": 4.7,
  "easeOfUseRating": 4.6,
  "customerSupportRating": 4.4,
  "functionalityRating": 4.6,
  "valueForMoneyRating": 4.5,
  "totalReviews": 24166,
  "productUrl": "https://www.capterra.com/p/135003/Slack/",
  "scrapedAt": "2026-08-06T01:39:47.995Z"
}

Pricing

You pay per review returned. Platform usage is included in the price, so there is no separate compute or proxy line on your bill and no subscription.

Event	Price
Review scraped	$2.00 per 1,000
Actor start	$0.001 per run

The product summary row is free. The small start fee covers runs that return nothing; on any normal run it disappears next to the per-review price. Bronze, Silver and Gold plan discounts apply.

FAQ

Do I need a Capterra API key or account? No. The reviews are public on the product page and the actor reads them directly.

How many reviews can I get for one product? Up to 2,500. That is Capterra's own limit, not ours: its review pages stop paginating at page 100 and 25 reviews per page. Products with fewer reviews return all of them. maxReviewsPerProduct lets you stop earlier.

Where do I find the product URL? Open the product on capterra.com and copy the address bar. It looks like https://www.capterra.com/p/135003/Slack/. The /reviews/ version works too, and so does the bare 135003/Slack.

Can I choose the sort order? Not yet. Capterra's sort control is applied in the browser and is not addressable from the URL, so the actor returns reviews in Capterra's default "most helpful" order. Every row carries reviewDate, so sorting by date after the fact is a one-line operation.

Are anonymous reviews included? Yes. When the reviewer chose to stay anonymous, reviewerName is null and the rest of the profile fields (job title, industry, company size) still come through, because Capterra publishes those.

Can I tell incentivized reviews apart? Yes. incentivized is a boolean and incentiveNote carries Capterra's own disclosure wording, for example the nominal gift card notice.

What happens if Capterra blocks a page? The actor retries, then stops that product and logs it rather than shipping half-parsed rows. You are only charged for reviews actually delivered.

Can I run this on a schedule? Yes, like any actor. New reviews appear on page 1, so a small maxReviewsPerProduct on a daily schedule is a cheap way to watch a competitor.

Related actors

Same output shape, other review sources, so they stack into one dataset:

• Trustpilot Reviews Scraper for what customers say about the vendor itself
• Google Play Reviews Scraper for the Android app behind the SaaS
• Apple App Store Reviews Scraper for the iOS side of the same product

Something missing?

Open an issue on the actor page. Field requests and product-page edge cases usually ship within a couple of days.

Keywords: capterra scraper, capterra reviews api, software review data, saas review scraper, capterra alternative to g2 reviews, competitor review analysis, voice of customer data, b2b software reviews json.