# Capterra Reviews Scraper (`imadjourney/capterra-reviews-scraper`) Actor

A reliable tool for extracting detailed reviews from Capterra product pages, providing structured data with comprehensive review information for business intelligence and market research.

- **URL**: https://apify.com/imadjourney/capterra-reviews-scraper.md
- **Developed by:** [Imad bkr](https://apify.com/imadjourney) (community)
- **Categories:** Automation, Lead generation
- **Stats:** 146 total users, 0 monthly users, 93.3% runs succeeded, 5 bookmarks
- **User rating**: 1.00 out of 5 stars

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 🎯 Capterra Reviews Scraper: Professional Review Extraction Tool

Capterra Reviews Scraper is a powerful tool designed to extract detailed reviews from Capterra product pages. It efficiently collects comprehensive review data including reviewer information, ratings, pros, cons, and verification status. Whether you're conducting market research, monitoring product feedback, or analyzing customer sentiment, this actor provides reliable and structured data from Capterra's extensive review database.

### ✨ Key Features

- Extracts detailed review information including reviewer name, job title, and company info
- Captures ratings, review dates, and LinkedIn verification status
- Collects pros and cons from each review
- Supports parallel processing for faster data collection
- Handles pagination automatically
- Transforms URLs automatically to ensure reliable scraping

### 📊 Sample Output

```json
{
    "reviewerName": "John Smith",
    "jobTitle": "Project Manager",
    "companyInfo": "Small Business (50 or fewer emp.)",
    "timeUsed": "Less than 6 months",
    "reviewTitle": "Great Product for Team Communication",
    "rating": 4.5,
    "reviewDate": "January 15, 2024",
    "comments": "The platform has been very useful for our team...",
    "pros": "Easy to use, great interface, reliable",
    "cons": "Could use more integrations",
    "isVerifiedLinkedIn": true,
    "sourceUrl": "https://www.capterra.in/reviews/123456/product-name"
}
```

### 🔧 Input Configuration

The actor accepts the following inputs:

- **Start URLs**: URLs of Capterra product pages to scrape (format: `https://www.capterra.com/p/[ID]/[PRODUCT-NAME]/reviews/`)
- **Maximum Reviews**: Limit the number of reviews to scrape (default: 25, set to null for unlimited)
- **Max Concurrency**: Number of parallel pages to process (default: 20)

# Actor input Schema

## `startUrls` (type: `array`):

URLs of Capterra product pages to scrape reviews from. Use the format: https://www.capterra.com/p/\[ID]/\[PRODUCT-NAME]/reviews/

## `maxReviews` (type: `integer`):

Maximum number of reviews to scrape (default: 25)

## `maxConcurrency` (type: `integer`):

Maximum number of parallel pages to process (default: 20)

## `proxyConfiguration` (type: `object`):

Proxy settings for making requests

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.capterra.com/p/123889/stripe/reviews/",
      "method": "GET"
    }
  ],
  "maxReviews": 25,
  "maxConcurrency": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "startUrls": [
        {
            "url": "https://www.capterra.com/p/123889/stripe/reviews/",
            "method": "GET"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("imadjourney/capterra-reviews-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "startUrls": [{
            "url": "https://www.capterra.com/p/123889/stripe/reviews/",
            "method": "GET",
        }] }

# Run the Actor and wait for it to finish
run = client.actor("imadjourney/capterra-reviews-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "startUrls": [
    {
      "url": "https://www.capterra.com/p/123889/stripe/reviews/",
      "method": "GET"
    }
  ]
}' |
apify call imadjourney/capterra-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,imadjourney/capterra-reviews-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Loy8eS5zeCf7dwNDJ/builds/FgvKfpYSquN2k9XdB/openapi.json