Capterra Reviews Scraper: Ratings, Pros & Cons (No Login)

Scrape Capterra software reviews with no Capterra account. Paste product URLs and get every review's star rating, the four sub-scores (ease of use, features, customer support, value for money), likelihood to recommend (0-10), pros, cons and overall comments, the reviewer's job title and how long they used the product, and the publish date. Each row also carries the product's overall rating and total review count.

Try it now: the input is pre-filled with Slack. Click Start. 50 reviews take well under a minute.

What can you do with it?

• Competitor research: pull the cons from your competitors' reviews and see what their customers complain about.
• Win/loss and positioning: compare sub-scores (support, value for money) across products in your category.
• Product feedback: track new reviews of your own product with Reviewed after.
• Negative review mining: set Maximum star rating to 2 to get only 1-2 star reviews.
• AI and sentiment analysis: clean, structured pros and cons text, ready for an LLM or a spreadsheet.

Input

Field	Example	Notes
productUrls	https://www.capterra.com/p/135003/Slack/	Product page or its /reviews/ page.
maxReviewsPerProduct	100	Up to 375 (see limits).
minRating / maxRating	1 / 2	Keep only reviews in this star range.
reviewedAfter	2026-01-01	Keep only reviews published on or after this date.
maxItems	500	Total reviews for the run.

Reviews removed by your filters are never charged.

Output

A real record from a test run on Nov 2, 2026 (text shortened):

{
  "productName": "Slack", "productCategory": "Team Communication Software",
  "title": "Regular Chat App But Support Team Doesn't Work", "overallRating": 1,
  "easeOfUseRating": 2, "functionalityRating": 2, "customerSupportRating": 1, "valueForMoneyRating": 1,
  "likelihoodToRecommend": 1,
  "pros": "It's a pretty standard chat app. Overall, it works fine...",
  "comments": "We encountered a bug and reported it, but support hasn't even responded...",
  "reviewerName": "Hakan S.", "reviewerJobTitle": "Founder", "reviewerTimeUsedProduct": "3-5 years",
  "publishedAt": "2026-02-14T14:07:21Z", "sourceSite": "CAPTERRA",
  "productOverallRating": 4.7, "productTotalReviews": 24177
}

The dataset has a Reviews table view and an All fields view. Download as JSON, CSV, Excel or HTML, or use the API.

Pricing

• $0.001 per review ($1 per 1,000 reviews), proxy included
• A small start fee of $0.0025 per GB of memory ($0.005 per run at the default 2 GB)

Set Maximum cost per run and the scraper stops cleanly when it gets there.

Limits

• 375 reviews per product: Capterra shows visitors who are not logged in 15 pages of 25 reviews per product, in its default order. Most products have fewer reviews than that, so you get all of them. For very popular products you get the first 375.
• Sub-scores, cons and industry are empty when the reviewer left them out.
• No keyword search: Capterra's search pages are off limits in its robots.txt, so start from product URLs.
• Capterra uses Cloudflare bot protection. The scraper passes it with a real browser on a residential proxy, then reads pages quietly one at a time. If a page is still blocked it retries with a new session and skips it after five tries.
• Needs 2 GB of memory (the default).

FAQ

Do I need a Capterra account or cookies? No. Only public review pages are read.

Is it allowed? It only collects publicly visible reviews and stays out of the paths Capterra's robots.txt disallows. Respect reviewers' privacy and copyright when you reuse the data.

Affiliation? This Actor is independent and not affiliated with Capterra or Gartner.

Something missing? Open an issue on the Issues tab. We usually reply within a day.

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