# Capterra Review Scraper ⭐ (`shahidirfan/capterra-review-scraper`) Actor

Extract reviews, ratings, reviewer details, pros, cons, overall scores, review dates, company size, industry, recommendations, and more from Capterra. Ideal for competitor analysis, market research, sentiment analysis, and business intelligence.

- **URL**: https://apify.com/shahidirfan/capterra-review-scraper.md
- **Developed by:** [Shahid Irfan](https://apify.com/shahidirfan) (community)
- **Categories:** Developer tools, Other, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.99 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
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For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

### What does Capterra Review Scraper do?

Capterra Review Scraper extracts verified Capterra software reviews for product research, competitor tracking, and customer sentiment analysis. It collects review titles, ratings, reviewer profiles, pros, cons, dates, and product-level review counts from public Capterra product pages.

Provide a Capterra URL and the Actor returns individual reviews with ratings, reviewer details, and qualitative feedback. Product profile URLs are converted to reviews pages automatically, and pagination runs until your requested result count is reached.

### Why use Capterra Review Scraper?

- **Structured review datasets** - Collect Capterra reviews without manual copying. Each review is returned as a consistent record with ratings, reviewer profile, and text fields separated.
- **Automation-ready output** - Export results to JSON, CSV, Excel, or XML. Connect datasets to analysis tools, dashboards, or downstream systems.
- **Use-case fit** - Support competitor research by comparing what buyers say across products. Build sentiment analysis datasets using separated pros and cons fields. Prepare sales battlecards using reviewer role, industry, and company size data. Monitor product feedback on a schedule to catch new reviews as they appear.

### What data can you extract from Capterra?

| Field | Description |
|-------|-------------|
| `review_title` | Review headline |
| `overall_rating` | Overall star rating |
| `review_date` | Published review date |
| `pros` | Positive review text |
| `cons` | Negative review text |
| `reviewer_name` | Reviewer display name |
| `reviewer_industry` | Reviewer industry |
| `reviewer_company_size` | Reviewer company size |
| `product_name` | Reviewed software product name |

Additional data includes ease of use, customer service, features, and value for money sub-ratings, likelihood to recommend score, reviewer job title and time used, validation status, general comments, advice to other buyers, incentive disclosure, and total review count.

### How to use Capterra Review Scraper

1. Open the Actor on Apify Store.
2. Enter a Capterra product or reviews URL.
3. Set the number of reviews you want and optional page limit.
4. Run the Actor.
5. Download the dataset or connect it to your workflow.

### Input Parameters

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `url` | String | Yes | - | Capterra product or reviews URL to collect data from |
| `results_wanted` | Integer | No | `20` | Maximum number of reviews to collect |
| `max_pages` | Integer | No | `3` | Maximum number of review pages to fetch (each page usually contains up to 25 reviews) |
| `proxyConfiguration` | Object | No | Residential proxy | Proxy configuration for reliable collection |

### Output Data

Each dataset item can contain the following fields:

| Field | Type | Description |
|-------|------|-------------|
| `review_id` | String | Capterra review identifier |
| `product_name` | String | Reviewed software product name |
| `review_title` | String | Review headline |
| `review_date` | String | Published review date |
| `overall_rating` | Number | Overall star rating |
| `ease_of_use_rating` | Number | Ease of use score |
| `customer_service_rating` | Number | Customer service score |
| `features_rating` | Number | Features score |
| `value_for_money_rating` | Number | Value for money score |
| `likelihood_to_recommend_rating` | Number | Recommendation score |
| `reviewer_name` | String | Reviewer display name |
| `reviewer_title` | String | Reviewer job title or role |
| `reviewer_industry` | String | Reviewer industry |
| `reviewer_company_size` | String | Reviewer company size |
| `reviewer_time_used` | String | How long the reviewer used the product |
| `reviewer_profile_image` | String | Reviewer profile image URL |
| `reviewer_validated` | Boolean | Whether the reviewer has been validated |
| `reviewer_validations` | Array | Validation methods (LinkedIn, BusinessEmail, ProofOfLink) |
| `pros` | String | Positive review text |
| `cons` | String | Negative review text |
| `general_comments` | String | General review comments |
| `advice_to_others` | String | Reviewer advice to other buyers |
| `chosen_reasons` | String | Reasons the reviewer chose the product |
| `switching_reasons` | String | Reasons the reviewer switched to the product |
| `incentive` | String | Incentive disclosure code |
| `source_site` | String | Source review site |
| `review_source_code` | String | Review source code |
| `review_source` | String | Review source disclosure text |
| `product_url` | String | Source Capterra reviews URL |
| `page` | Integer | Review page number |
| `total_reviews` | Integer | Total review count shown for the product |

### Usage Examples

#### Basic Extraction

Collect 20 reviews from a product page:

```json
{
    "url": "https://www.capterra.com/p/190778/QuickBooks-Online/",
    "results_wanted": 20
}
```

#### Larger Collection

Collect more reviews across additional pages:

```json
{
    "url": "https://www.capterra.com/p/190778/QuickBooks-Online/reviews/",
    "results_wanted": 50,
    "max_pages": 4
}
```

#### Start From a Later Page

Begin collection from a specific Capterra reviews page:

```json
{
    "url": "https://www.capterra.com/p/190778/QuickBooks-Online/reviews/?page=2",
    "results_wanted": 25,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}
```

### Sample Output

```json
{
    "review_id": "Capterra___7174523",
    "product_name": "QuickBooks Online",
    "review_title": "Reliable Accounting Software That Saves Time and Simplifies Financial Management",
    "review_date": "June 24, 2026",
    "overall_rating": 4,
    "ease_of_use_rating": 5,
    "customer_service_rating": 2,
    "features_rating": 3,
    "value_for_money_rating": 4,
    "likelihood_to_recommend_rating": 7,
    "reviewer_name": "Jeff H.",
    "reviewer_title": "Front office manager",
    "reviewer_industry": "Medical Practice",
    "reviewer_company_size": "11 - 50 employees",
    "reviewer_time_used": "More than 2 years",
    "reviewer_validated": true,
    "reviewer_validations": ["ProofOfLink"],
    "pros": "I feel like QuickBooks provides good value for what you pay...",
    "cons": "Customer support has been helpful whenever I've needed assistance...",
    "general_comments": "Overall, my experience with QuickBooks has been very positive...",
    "incentive": "NoIncentive",
    "source_site": "Capterra",
    "review_source_code": "NO",
    "review_source": "No Incentive Offered: This review was submitted organically.",
    "product_url": "https://www.capterra.com/p/190778/QuickBooks-Online/reviews/",
    "page": 1,
    "total_reviews": 8483
}
```

### Tips for Best Results

- Use complete, public URLs from Capterra. Both product URLs (`/p/190778/QuickBooks-Online/`) and reviews URLs (`/p/190778/QuickBooks-Online/reviews/`) work.
- Start with a small `results_wanted` value for test runs. Increase `max_pages` when collecting larger datasets.
- Check the dataset preview before scheduling larger runs to verify the data meets your needs.
- Residential proxies are recommended for consistent production runs.

### Integrations

- **Google Sheets** - Export review data to spreadsheets for filtering and analysis.
- **Airtable** - Build a searchable review database with linked records.
- **Webhooks** - Send new reviews to downstream systems after each run.
- **Make or Zapier** - Connect results to no-code automations and alerts.
- **API** - Access datasets programmatically from your own applications.

#### Export Formats

- **JSON** - For developers and analysis tools.
- **CSV** - For spreadsheets.
- **Excel** - For reporting.
- **XML** - For system imports.

### Frequently Asked Questions

#### Can I use either a product URL or a reviews URL?

Yes. The Actor accepts both Capterra product page URLs and direct reviews page URLs. Product URLs are converted to the reviews page automatically.

#### How many reviews are collected per page?

Capterra review pages usually show up to 25 reviews per page. The `max_pages` parameter controls how many pages are fetched.

#### Why are some fields missing?

Some reviews do not include every rating, profile detail, or source field. Empty values are removed from the dataset automatically.

#### Can I start from page 2 or later?

Yes. Add a `page` query parameter to the Capterra reviews URL, such as `?page=2`, to begin from a later page.

#### Should I use a proxy?

Residential proxies are recommended for consistent production runs. The Actor uses them by default when running on the Apify platform.

#### Can I export the data to CSV or Excel?

Yes. Apify datasets can be downloaded in CSV, Excel, JSON, XML, and other supported formats from the Apify Console.

#### Can I run this Actor on a schedule?

Yes. You can schedule the Actor in Apify Console to refresh data hourly, daily, weekly, or at another interval.

#### Is this Actor suitable for non-technical users?

Yes. The Actor can be run from Apify Console with form-based inputs, and the output can be downloaded without writing code.

#### Is it legal to scrape Capterra?

Scraping public web data can be legal, but you are responsible for complying with applicable laws, website terms, and privacy rules. This Actor collects only publicly available information that anyone can view in a browser.

### Related Actors

- [Hostelworld Reviews Scraper](https://apify.com/shahidirfan/hostelworld-reviews-scraper) - Extract guest reviews and ratings from Hostelworld property pages.
- [Myntra Reviews Scraper](https://apify.com/shahidirfan/myntra-reviews-scraper) - Collect customer reviews and ratings from Myntra product pages.

### Support

For issues, feature requests, or custom Actor work, use the Issues tab on the Actor page or contact the developer through Apify Console.

### Legal Notice

This Actor is designed for legitimate data collection from publicly available Capterra pages. Users are responsible for using the data responsibly and complying with applicable laws and website terms of service.

# Actor input Schema

## `url` (type: `string`):

Capterra product or reviews URL. Product URLs are automatically converted to the reviews page.

## `results_wanted` (type: `integer`):

Maximum number of reviews to collect.

## `max_pages` (type: `integer`):

Maximum number of Capterra review pages to fetch. Each page usually contains up to 25 reviews.

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

Residential proxies are recommended for Capterra.

## Actor input object example

```json
{
  "url": "https://www.capterra.com/p/190778/QuickBooks-Online/",
  "results_wanted": 20,
  "max_pages": 3,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

# 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 = {
    "url": "https://www.capterra.com/p/190778/QuickBooks-Online/",
    "results_wanted": 20,
    "max_pages": 3
};

// Run the Actor and wait for it to finish
const run = await client.actor("shahidirfan/capterra-review-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 = {
    "url": "https://www.capterra.com/p/190778/QuickBooks-Online/",
    "results_wanted": 20,
    "max_pages": 3,
}

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

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

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

```

## CLI example

```bash
echo '{
  "url": "https://www.capterra.com/p/190778/QuickBooks-Online/",
  "results_wanted": 20,
  "max_pages": 3
}' |
apify call shahidirfan/capterra-review-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=shahidirfan/capterra-review-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/DGr2fmDZHgI2tBJbu/builds/FwGIFJY00hT9hwJfq/openapi.json