Capterra Reviews Scraper

Scrape Capterra software reviews and product metadata at scale — star ratings, full review text, pros, cons, reviewer firmographics, and vendor responses — by pasting a Capterra product URL or searching by product name. Browser-rendered to get past Capterra's enterprise Cloudflare protection. Built for AI agents and data teams: clean, flat JSON, MCP-ready.

What you get

One dataset row per review (plus a product summary row per product):

Field	Description
productName	Software product name
productRating	Aggregate product star rating (0–5)
productReviewCount	Total reviews Capterra reports
vendor / category	Vendor brand and Capterra application category
rating	This review's star rating (0–5)
reviewTitle	Review headline
reviewBody	Full review text
pros / cons	Reviewer-listed pros and cons
subRatings	Ease of use, customer support, value for money, features, likelihood to recommend
reviewer	Name, job title, company name, company size, industry, verified flag
reviewDate	Review publish date (ISO 8601)
reviewUrl	Direct link to the review when available
helpfulCount	How many users marked the review helpful
vendorResponse	Vendor's public reply, if any

When to use it

• Competitive intelligence — track how a competitor's product is rated, and what users praise or complain about.
• Sales enablement — pull objection themes and switching triggers before a call.
• Product & market research — mine pros/cons and sub-ratings across a category.
• AI agents — a single tool call returns structured Capterra sentiment for a named product.

Do not use this for G2, TrustRadius, SoftwareAdvice, or GetApp — for cross-platform coverage use the Software Reviews All-in-One Scraper.

Pricing (Pay Per Event)

Event	Price
Actor start	$0.005 (scaled by GB of memory)
Review scraped	$0.005 per review
Product found (search mode)	$0.01 per product

A run that scrapes 50 reviews of one product costs roughly $0.27. Pay-Per-Usage (compute + proxy) is also available — pick whichever is cheaper for your job at run time.

Input

Provide either startUrls or searchQuery.

URL mode

{
  "startUrls": [
    { "url": "https://www.capterra.com/p/135003/Slack/reviews/" }
  ],
  "maxReviewsPerProduct": 50,
  "sortReviewsBy": "newest"
}

Search mode

{
  "searchQuery": "project management software",
  "maxProductsPerSearch": 5,
  "maxReviewsPerProduct": 30,
  "includeReviews": true
}

Input	Type	Default	Notes
startUrls	array of {url}	—	Capterra product/reviews URLs
searchQuery	string	—	Product name or keyword
maxReviewsPerProduct	integer	50	1–5000, per product
maxProductsPerSearch	integer	5	1–100, search mode only
includeReviews	boolean	true	search mode: scrape reviews vs cards only
sortReviewsBy	enum	newest	newest or helpful
proxyConfiguration	object	Residential US	residential required
debug	boolean	false	write extraction diagnostics to KV

Output sample

{
  "platform": "capterra",
  "recordType": "review",
  "productName": "Slack",
  "productRating": 4.7,
  "rating": 5,
  "reviewTitle": "Best team chat we've used",
  "reviewBody": "Channels keep our remote team organized...",
  "pros": ["Easy to onboard", "Great integrations"],
  "cons": ["Notifications can get noisy"],
  "reviewer": {
    "name": "Jane D.",
    "title": "Operations Manager",
    "companyName": "Acme Co",
    "companySize": "11-50 employees",
    "industry": "Marketing"
  },
  "reviewDate": "2025-04-01T00:00:00.000Z",
  "reviewUrl": "https://www.capterra.com/p/135003/Slack/reviews/",
  "scrapedAt": "2026-06-14T10:00:00.000Z"
}

How to use

1. Open the Actor in Apify Console.
2. Paste one or more Capterra product URLs, or type a search query.
3. Set how many reviews per product you want.
4. Run. Download results as JSON, CSV, or Excel, or pull them via the Apify API.

API example

curl -X POST "https://api.apify.com/v2/acts/khadinakbar~capterra-reviews-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"startUrls":[{"url":"https://www.capterra.com/p/135003/Slack/reviews/"}],"maxReviewsPerProduct":50}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_TOKEN")
run = client.actor("khadinakbar/capterra-reviews-scraper").call(run_input={
    "startUrls": [{"url": "https://www.capterra.com/p/135003/Slack/reviews/"}],
    "maxReviewsPerProduct": 50,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["rating"], item.get("reviewTitle"))

MCP / AI agents

This Actor is MCP-ready. Connect via https://mcp.apify.com and call it as a tool: give it a Capterra product URL or a product name, get structured reviews back. Flat keys and a per-item token budget keep responses small enough to reason over.

FAQ

Why is it browser-based and not pure HTTP? Capterra runs enterprise Cloudflare bot management. Plain HTTP requests return 403 from every datacenter and residential IP. Rendering in Firefox with a consistent fingerprint and residential proxy is the reliable path.

Some reviews have no reviewDate. Capterra renders per-review dates inconsistently across card layouts. The Actor extracts dates where present (JSON-LD or visible "Reviewed Month Year" text) and leaves the field absent otherwise rather than guessing.

Can I get every review for a product? Set maxReviewsPerProduct high (up to 5000). The Actor paginates until it reaches your cap or runs out of reviews.

What if Capterra blocks the run? If every request is blocked and zero records come back, the run fails honestly with a clear message — it never reports a silent empty success. Retry, or switch proxyConfiguration.apifyProxyCountry.

International Capterra sites? capterra.co.uk, capterra.com.au, etc. URLs are accepted in URL mode.

Legal

This Actor collects only publicly available information from Capterra and is intended for lawful uses such as market research and competitive analysis. You are responsible for how you use the data, including compliance with Capterra's Terms of Use, applicable laws (e.g. GDPR/CCPA), and any rights in the content. Do not use scraped personal data for spam or unlawful profiling. Not affiliated with or endorsed by Capterra or Gartner.