Pricing
from $5.00 / 1,000 review scrapeds
Capterra Reviews Scraper
Scrape Capterra software reviews and product metadata: star ratings, written reviews, pros, cons, and reviewer firmographics. Paste a product URL or search by name. MCP-ready.
Pricing
from $5.00 / 1,000 review scrapeds
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Scrape Capterra software reviews and product metadata at scale β star ratings, full review text, pros, cons, reviewer firmographics, and vendor responses β 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 (0β5) |
productReviewCount | Total reviews Capterra reports |
vendor / category | Vendor brand and Capterra application category |
rating | This review's star rating (0β5) |
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 β track how a competitor's product is rated, and what users praise or complain about.
- Sales enablement β pull objection themes and switching triggers before a call.
- Product & market research β mine pros/cons and sub-ratings across a category.
- AI agents β a single tool call returns structured Capterra sentiment for a named product.
Do not use this for G2, TrustRadius, SoftwareAdvice, or GetApp β 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 β 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} | β | Capterra product/reviews URLs |
searchQuery | string | β | Product name or keyword |
maxReviewsPerProduct | integer | 50 | 1β5000, per product |
maxProductsPerSearch | integer | 5 | 1β100, 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
- Open the Actor in Apify Console.
- Paste one or more Capterra product URLs, or type a search query.
- Set how many reviews per product you want.
- 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 ApifyClientclient = 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 β 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.
