Capterra Product Data API — Ratings, Features & Pricing
Send a Capterra product URL and this source returns the profile as data: description, rating, use cases, listed alternatives, FAQs, features, pricing, integrations, support options and reviews.
- You send
- A Capterra product URL
- You get back
- Profile, rating, alternatives, features, pricing and integrations
- Coverage
- Software products with a public listing.
- Price
- 5 pts — $5 per 1,000
- Charged only when a profile resolves. A product that cannot be found is not billed.
Ways to get this data
Three approaches teams use today, and where each one runs into trouble.
| Approach | What it takes | Cost | Trade-off |
|---|---|---|---|
| Reading profiles by hand | Open the page and scroll | Free, and slow | Impossible to keep current across a category |
| Building a scraper | Write it, host it, and repair it when the layout moves | Engineering time | Maintenance you did not set out to own |
| NeuralVerge | One request per product | $5 per 1,000, misses not billed | Returns what the directory publishes, which vendors help shape |
What you get back
Every field the response returns.
| Field | Type | Description |
|---|---|---|
description | string | The product description on the listing. |
rating | object | Average rating and review count. |
use_cases | array | Use cases listed for the product. |
alternatives | array | Named alternatives, each with a link — a competitive set someone else maintains. |
faqs | array | Question and answer pairs from the listing. |
features | array | Listed features. |
pricing | array | Plan name, price and details for each tier. |
integrations | array | Integrations the product lists. |
support | string | Support options offered. |
reviews | array | Reviews with author, rating, title and content. |
Every source answers in the same shape: a session id, a readable human summary, a structured machine object and the points the call consumed. Learn it once and it holds across every source in the catalog.
How to run it
The same lookup works from the app, the API, or as a tool an agent can call mid-task.
A JSON schema passed as extract_schema_json pins the response shape, so the same fields come back on every call. The Get API Code button in the app gives you the complete command with the schema already filled in.
curl -X POST https://api.neuralverge.ai/functions/v1/run-extract \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"url": "https://www.capterra.com/p/000000/Example/",
"instructions": "Extract data from Capterra product profile",
"settings": {
"country_code": "us",
"extract_schema_json": "{ ... }"
}
}'What teams use it for
Where this field shows up in an actual workflow.
The alternatives list is a maintained answer to who you are compared against.
See how a category presents pricing before you set your own page.
Find the integrations competitors list that you do not.
Profile FAQs are real buyer questions, which makes them good article briefs.
Coverage, freshness and limits
What this source covers, how fresh it is, and where it stops.
Software products with a public listing.
Read at request time.
This source returns publicly visible product information, stamped with the URL it was read from and a session id you can trace.
- —Directory listings are partly vendor-maintained, so completeness varies by how much attention a vendor pays.
- —Pricing shown in a directory can lag a vendor's own page.
- —Sparse listings return sparse profiles.
Questions, answered
This returns the product profile, including a reviews section. Capterra reviews is a separate source aimed at the review listing itself, when reviews are what you are after rather than the profile around them.
Related sources
Try capterra on your own data
One request format across every source in the catalog.