Capterra Product Reviews — Reviews by Product ID avatar

Capterra Product Reviews — Reviews by Product ID

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Capterra Product Reviews — Reviews by Product ID

Capterra Product Reviews — Reviews by Product ID

Pull Capterra.com product reviews via the public reviews page. One row per review with title, body, rating, reviewer name + role + industry, posted date, pros, cons. Specify maxReviewsPerProduct.

Pricing

Pay per usage

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Developer

vøiddo

vøiddo

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2

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1

Monthly active users

8 days ago

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Capterra Product Reviews Scraper — Reviews by Slug

Pull Capterra.com product reviews via the public reviews page. One row per review — title, body, rating, reviewer name + role + industry, posted date, pros, cons. Specify product slugs + per-product cap.

How to use

Pass one or more Capterra product paths in the form productId/slug. Find these in the Capterra URL: capterra.com/p/135003/Slack/reviews/ → path is 135003/Slack.

Input shape

{
"products": [
"135003/Slack",
"164800/Notion",
"188405/Figma"
],
"maxReviewsPerProduct": 50
}
FieldTypeDefaultDescription
productsstring[]Slack / Notion / FigmaCapterra product paths in form productId/slug
maxReviewsPerProductinteger50Cap reviews collected per product (max 5 pages × ~10 reviews)

Example output row

{
"reviewId": "12345678",
"product": "135003/Slack",
"title": "Best team communication tool out there",
"body": "We've been using Slack for 3 years across 4 departments...",
"rating": 4.5,
"reviewerName": "Jane D.",
"reviewerRole": "Product Manager",
"reviewerIndustry": "Computer Software",
"postedAt": "2024-11-15",
"pros": "Integrations, search, channels keep conversations organized",
"cons": "Gets expensive at scale; notification overload without discipline"
}

Pricing

Event: review_extracted — $0.0003 per review

One charge per review row emitted to the dataset. A 50-review run across 10 products (500 reviews) costs $0.15.

Buyer

  • Competitor intelligence and win/loss analysis across SaaS categories
  • Monitoring your own product's review sentiment over time
  • Sales enablement: surfacing competitor weaknesses by reviewing cons at scale
  • Market research: aggregating reviewer roles and industries to identify target segments
  • Benchmarking rating trends across competing products

Source

Capterra serves React / Next.js pages — review content is embedded in the __NEXT_DATA__ JSON blob within each product review page:

https://www.capterra.com/p/{productId}/{slug}/reviews/?page=N

Pages are scraped with a real Chrome User-Agent and Accept-Language: en-US. Pagination stops when the reviews array is empty or after 5 pages. If a product slug returns 404, it is logged and skipped without failing the run.