Capterra Reviews Scraper

Extract public software reviews from Capterra product pages without a login. Give it one or more product links (or numeric product ids) and it returns clean, structured review rows: full review text, every rating dimension, the reviewer's profile, and any vendor response. Pagination is walked automatically up to the limit you set.

What it does

• Full review text for each review: the headline, the pros, the cons, the overall comments, and any advice to other buyers.
• All rating dimensions per review: overall, ease of use, functionality, customer support, value for money, and the recommendation score.
• Reviewer profile: name as shown, job title, industry, company size, and how long they used the product, plus whether the reviewer is verified.
• Buyer context where present: alternatives considered, what they switched from, and reasons for choosing.
• Vendor responses attached to a review when the vendor has replied.

No account, no password, no API key. Give it products and it returns one clean row per review.

Input

Field	Type	Description
productUrls	array	Capterra product pages to pull reviews from. Paste the product or reviews link, or just the numeric product id.
maxReviewsPerProduct	integer	Cap on reviews returned per product. Default 100. Pagination is walked across as many pages as needed to reach this.
concurrency	integer	How many products to process in parallel. Default 5.
proxyConfig	object	Apify proxy. Residential is the default and the recommended option for reliable results.

Example input

{
  "productUrls": [
    "https://www.capterra.com/p/135003/Acme-Co/reviews/",
    "186596"
  ],
  "maxReviewsPerProduct": 200
}

You can pass any mix of full URLs and bare product ids.

Output

Each review row:

{
  "reviewId": "Capterra___0000000",
  "productId": "135003",
  "productName": "Acme Co",
  "reviewerName": "Jane D.",
  "jobTitle": "Operations Manager",
  "industry": "Computer Software",
  "companySize": "51-200 employees",
  "timeUsedProduct": "2+ years",
  "verifiedReviewer": true,
  "overallRating": 4.5,
  "easeOfUseRating": 4,
  "functionalityRating": 5,
  "customerSupportRating": 4,
  "valueForMoneyRating": 4,
  "recommendationRating": 9,
  "title": "A solid fit for our team",
  "pros": "Clean interface and easy onboarding for new hires.",
  "cons": "Notifications can get noisy on larger teams.",
  "comments": "Overall it has improved how our team collaborates day to day.",
  "adviceToOthers": "Set up your channels early.",
  "reasonsForChoosing": [],
  "switchingReasons": [],
  "alternativesConsidered": [],
  "switchedFrom": [],
  "reviewerImage": "https://example.com/avatar.jpg",
  "writtenOn": "2026-04-07",
  "incentivized": true,
  "vendorResponse": null,
  "reviewUrl": "https://www.capterra.com/p/135003/Acme-Co/reviews/"
}

Notes

• Ratings reflect the values shown at scrape time.
• maxReviewsPerProduct walks as many pages as needed to reach your target, then stops.
• incentivized is true when the reviewer received a nominal thank-you incentive for an honest review.
• A placeholder slug in the URL is fine. https://www.capterra.com/p/135003/product/reviews/ resolves to the same product as the full named link.

Use cases

• Build a competitive feature and sentiment picture from real buyer reviews.
• Track rating trends and recurring pros and cons for a product over time.
• Feed structured review text into your own analysis, dashboards, or models.

To improve our actors we collect anonymized usage telemetry (run stats and input patterns). No personal account data is collected.