Capterra Reviews Scraper

Scrape Capterra software reviews as clean structured JSON - review title, overall rating and the four sub-ratings (ease of use, customer support, features, value for money), likelihood to recommend (0-10), date, the overall comment, pros, cons, reasons for choosing and for switching, the products considered or switched from, advice, every question-and-answer of the review, reviewer name, job title, industry, company size, time using the product and LinkedIn / proof validations, the incentive and source badges and the vendor's reply. Each product also gets a summary: vendor, rating, review count, sub-rating averages, categories, description, target market and pricing plans. No Capterra account, no API key, no proxies to configure.

Features

• Any product input - a Capterra product URL (the /reviews/ page works too), id/slug (135003/Slack) or the numeric product id.
• Up to 2500 reviews per product - 25 reviews per Capterra page, at most 100 pages per product (Capterra's own limit), in Capterra's Most Helpful order.
• Full review data - all ratings, pros, cons, comments, switching reasons, alternatives considered, switched-from products, advice and the full list of answers.
• Reviewer data - name (or anonymous), job title, industry, company size, time used, profile picture, LinkedIn verification and validation methods.
• Trust signals - incentive type, incentivized and vendor-referred flags, the review source badge (organic, vendor invite, gift card ...) and where the review was collected (Capterra, GetApp or Software Advice).
• Product summary - the PRODUCTS record with vendor, rating, review count, sub-rating averages, categories, description, target market, starting price, pricing model, free trial / free version and every pricing plan.
• Deduplicated - the same product given twice (URL and id) is collected once.

Use cases

• Competitive analysis - what users like and dislike about competing tools, and why they switch.
• Product research - mine pros, cons and switching reasons for feature gaps.
• Sales and marketing - find which alternatives buyers considered, by industry and company size.
• Review monitoring and LLM pipelines - feed structured reviews into BI tools, spreadsheets or an LLM.

Input

Field	Type	Default	Description
products	array	Slack	Capterra product URLs, id/slug or product ids.
maxReviewsPerProduct	integer	50	Reviews per product (1-2500).

Example input

{
  "products": [
    "https://www.capterra.com/p/135003/Slack/",
    "233108/deskbird"
  ],
  "maxReviewsPerProduct": 500
}

Output

One dataset item per review:

{
  "productId": "135003",
  "productSlug": "Slack",
  "productName": "Slack",
  "productUrl": "https://www.capterra.com/p/135003/Slack/",
  "id": "7202161",
  "globalId": "Capterra___7202161",
  "url": "https://www.capterra.com/p/135003/Slack/#Capterra___7202161",
  "title": "Corporate Social Media platform",
  "rating": 5.0,
  "easeOfUse": 5.0,
  "customerSupport": 5.0,
  "features": 5.0,
  "valueForMoney": 5.0,
  "likelihoodToRecommend": 10,
  "date": "2026-08-20",
  "reviewerName": "Abhishek M.",
  "reviewerAnonymous": false,
  "reviewerTitle": "Subject Matter Expert",
  "reviewerIndustry": "Financial Services",
  "reviewerCompanySize": "201-500 employees",
  "reviewerTimeUsedProduct": "2+ years",
  "reviewerVerifiedLinkedIn": true,
  "reviewerValidated": true,
  "reviewerValidations": ["LinkedIn", "ProofOfLink"],
  "comments": "Wonderful. The chat feature is great. ...",
  "pros": "Channel creation. Could tag channels in other channels. ...",
  "cons": "The delete message option should be enabled for Admins. ...",
  "reasonsForChoosing": null,
  "reasonsForSwitching": null,
  "advice": null,
  "alternativesConsidered": [],
  "switchedFrom": [],
  "answers": [{"question": "Overall", "answer": "Wonderful. ..."}, {"question": "Pros", "answer": "..."}, {"question": "Cons", "answer": "..."}],
  "incentive": "NoIncentive",
  "incentivized": false,
  "vendorReferred": false,
  "reviewSourceCode": "NO",
  "reviewSourceDescription": "No Incentive Offered: This review was submitted organically.",
  "source": "Capterra",
  "vendorResponseText": null,
  "vendorResponseDate": null,
  "productInput": "https://www.capterra.com/p/135003/Slack/"
}

The key-value store also holds:

• PRODUCTS - per product: id, slug, name, vendor, rating, review count, sub-rating averages, categories, description, target market, pricing, logo, URLs, the reviews collected and viewLimitReached (the product has more reviews than Capterra's 100 pages show).
• ERRORS - products that returned no reviews (unknown product, no reviews yet, blocked) with the reason. These are not billed.

Pricing

$0.60 per 1000 reviews. You pay only for reviews delivered; failed products are not charged.

Notes

• Reviews come in Capterra's Most Helpful order (the order of its review pages); there is no date sort or rating filter. Filter the dataset by date or rating after the run.
• Capterra lists at most 100 review pages (2500 reviews) per product. For products with more reviews, the oldest are not reachable this way.
• Some reviews are syndicated from GetApp or Software Advice; source tells where each one was written.