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

Export public Capterra product reviews with ratings, pros, cons, reviewer details, and vendor responses.

- **URL**: https://apify.com/fetch\_cat/capterra-reviews-scraper.md
- **Developed by:** [Hanna Nosova](https://apify.com/fetch_cat) (community)
- **Categories:** Business, Marketing, Automation
- **Stats:** 2 total users, 1 monthly users, 60.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.66 / 1,000 review saveds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
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- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

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

## Capterra Reviews Scraper

Export public Capterra reviews for one product or a batch of products. This Capterra reviews scraper lets you export Capterra reviews data with review text, rating breakdowns, reviewer firmographics, alternatives, incentives, and vendor responses in a structured dataset ready for analysis.

### Why use this Actor?

- Compare customer sentiment across competing software products.
- Find recurring pros, cons, and switching reasons.
- Monitor new reviews and vendor responses.
- Enrich product research with reviewer role, industry, and company size.
- Export clean JSON, CSV, Excel, XML, or RSS through Apify.

### Who is it for?

This Actor is built for product marketers, competitive-intelligence teams, customer-success analysts, software buyers, and researchers who need repeatable Capterra review exports instead of manual copying.

### Input example

```json
{
  "productUrls": [
    { "url": "https://www.capterra.com/p/186596/Notion/reviews/" },
    { "url": "https://www.capterra.com/p/135003/Slack/reviews/" }
  ],
  "maxReviewsPerProduct": 25,
  "sortOrder": "MOST_RECENT",
  "starRatings": [4, 5]
}
```

### Output example

```json
{
  "url": "https://www.capterra.com/reviews/Capterra___7186736",
  "productId": "186596",
  "productName": "Notion",
  "reviewId": "Capterra___7186736",
  "globalReviewId": "Capterra___7186736",
  "title": "One Place for Notes, Tasks, and Team Work",
  "writtenOn": "July 19, 2026",
  "overallRating": "5.0",
  "easeOfUseRating": "5.0",
  "customerSupportRating": "5.0",
  "functionalityRating": "4.0",
  "valueForMoneyRating": "5.0",
  "recommendationRating": "10",
  "prosText": "Everything is organized in one workspace.",
  "consText": "The initial setup can feel overwhelming.",
  "generalComments": "It has helped our team stay organized.",
  "incentivized": false,
  "anonymityOn": false,
  "sourceSite": "Capterra",
  "reviewSource": { "code": "NO", "tooltip": "No Incentive Offered" },
  "chosenReasons": [],
  "switchingReasons": [],
  "alternativeProducts": [],
  "switchedProducts": [],
  "vendorResponse": null,
  "reviewer": { "fullName": "A. Reviewer", "jobTitle": "Software Developer", "companySize": "10,001+ employees", "industry": "Information Technology and Services", "timeUsedProduct": "6-12 months", "verifiedLinkedIn": true, "isValidated": true, "validationsPassed": [], "profilePicUrl": null, "anonymityOn": false },
  "scrapedAt": "2026-08-03T17:30:00Z",
  "pageNumber": 1,
  "sourceInputUrl": "https://www.capterra.com/p/186596/Notion/reviews/"
}
```

### Input settings

| Field | Type | Description |
|---|---|---|
| `productUrls` | array | One to 20 public Capterra product or review URLs. |
| `maxReviewsPerProduct` | integer | Maximum matching reviews saved for each product (1–1000). |
| `sortOrder` | string | `MOST_RECENT`, `HIGHEST_COMPLETENESS_SCORE`, `HIGHEST_RATED`, or `LOWEST_RATED`. |
| `starRatings` | integer array | Optional overall-rating filter from 1 to 5 stars. |

### Output fields

Every row includes these stable export keys:

| Field | Description |
|---|---|
| `url`, `reviewId`, `globalReviewId` | Review URL and source identifiers. |
| `productId`, `productName` | Reviewed Capterra product. |
| `title`, `writtenOn` | Review headline and published date. |
| `overallRating` | Overall rating. |
| `easeOfUseRating`, `customerSupportRating`, `functionalityRating`, `valueForMoneyRating`, `recommendationRating` | Detailed rating breakdown. |
| `prosText`, `consText`, `generalComments` | Full public review text. |
| `incentivized`, `anonymityOn`, `sourceSite`, `reviewSource` | Review provenance and disclosure data. |
| `chosenReasons`, `switchingReasons` | Reasons supplied by the reviewer. |
| `alternativeProducts`, `switchedProducts` | Products considered or replaced. |
| `vendorResponse` | Public vendor response when present. |
| `reviewer` | Name, role, industry, company size, usage duration, validation data, and profile image. |
| `scrapedAt`, `pageNumber`, `sourceInputUrl` | Collection timestamp and source provenance. |

Optional source values remain empty when a reviewer did not provide them.

### Ready-to-run examples

Open a public example to inspect its input, run it, or reuse it as a task:

- [Export Five Star Capterra Reviews](https://apify.com/fetch_cat/capterra-reviews-scraper/examples/capterra-five-star-review-export)
- [Find Low Rated Capterra Reviews](https://apify.com/fetch_cat/capterra-reviews-scraper/examples/capterra-low-rated-reviews-analysis)
- [Export Slack Capterra Reviews via API](https://apify.com/fetch_cat/capterra-reviews-scraper/examples/capterra-reviews-api-export)
- [Export Notion Capterra Reviews](https://apify.com/fetch_cat/capterra-reviews-scraper/examples/capterra-reviews-export-notion)

**Latest reviews for one product**

```json
{"productUrls":[{"url":"https://www.capterra.com/p/186596/Notion/reviews/"}],"maxReviewsPerProduct":10,"sortOrder":"MOST_RECENT"}
```

**Compare low-rated feedback across products**

```json
{"productUrls":[{"url":"https://www.capterra.com/p/186596/Notion/reviews/"},{"url":"https://www.capterra.com/p/135003/Slack/reviews/"}],"maxReviewsPerProduct":100,"sortOrder":"LOWEST_RATED","starRatings":[1,2]}
```

### Pricing

This Actor uses pay-per-event pricing: a small start fee plus a tiered charge for each review saved. The per-review rate decreases with your Apify plan. You never pay per requested page or failed item. See the live [Pricing tab](https://apify.com/fetch_cat/capterra-reviews-scraper/pricing) for current rates.

### Tips and limits

- Start with 10 reviews to verify the product URLs and output shape.
- Star filtering happens before matching rows count toward the per-product limit.
- Duplicate URLs and review IDs are removed automatically.
- A failed product does not remove reviews already saved for other products.
- Public fields vary by reviewer; rating subcategories, alternatives, and vendor responses may be absent.
- Site changes or temporary access challenges can reduce availability. Retry later rather than repeatedly starting large runs.

### Capterra reviews API usage

```bash
curl -X POST "https://api.apify.com/v2/acts/fetch_cat~capterra-reviews-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"productUrls":[{"url":"https://www.capterra.com/p/186596/Notion/reviews/"}],"maxReviewsPerProduct":10}'
```

**Python**

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("fetch_cat/capterra-reviews-scraper").call(run_input={
    "productUrls": [{"url": "https://www.capterra.com/p/186596/Notion/reviews/"}],
    "maxReviewsPerProduct": 10,
})
items = list(client.dataset(run["defaultDatasetId"]).iterate_items())
```

**Node.js**

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

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('fetch_cat/capterra-reviews-scraper').call({
  productUrls: [{ url: 'https://www.capterra.com/p/186596/Notion/reviews/' }],
  maxReviewsPerProduct: 10,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
```

Use the [Apify API documentation](https://docs.apify.com/api/v2) to wait for completion and download dataset items.

### MCP and AI agents

Connect this Actor to an AI assistant through [Apify MCP](https://mcp.apify.com/?tools=fetch_cat/capterra-reviews-scraper). For Claude Code:

```bash
claude mcp add apify --transport http "https://mcp.apify.com/?tools=fetch_cat/capterra-reviews-scraper"
```

Generic MCP client configuration:

```json
{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=fetch_cat/capterra-reviews-scraper"
    }
  }
}
```

Example prompts:

- “Export the 50 latest Notion reviews from Capterra and summarize recurring complaints.”
- “Compare 1- and 2-star reviews for these three Capterra product URLs.”
- “Find reviews that mention switching products and list the alternatives.”

### FAQ

#### What data can I export with Capterra reviews scraper?

You can export review text, detailed ratings, reviewer firmographics, product-switching information, incentive disclosures, vendor responses, and source provenance.

#### Can I run Capterra Reviews Scraper through an API, schedule, or MCP client?

Yes. Use the cURL, Python, or Node.js API examples above, schedule Actor runs in Apify Console, or connect through the documented MCP endpoint.

#### How much does it cost to use Capterra Reviews Scraper?

It uses a fixed start fee and a tiered per-review charge. See the Pricing section and live Pricing tab for the current rates before starting a run.

#### Can I scrape several products in one run?

Yes. Add up to 20 URLs. The review limit applies independently to each product.

#### Does it include full pros and cons?

Yes, when those fields are publicly supplied in the review.

#### Why are some fields empty?

Reviewers do not always provide every rating, firmographic value, alternative, or response. Empty optional values reflect the public source.

#### Is scraping Capterra legal?

This Actor extracts public information. You are responsible for using it in accordance with applicable laws, Capterra's terms, and privacy requirements. Avoid collecting or using personal data without a lawful purpose.

### Related Actors

- [G2 Reviews Scraper](https://apify.com/fetch_cat/g2-reviews-scraper)
- [Trustpilot Scraper](https://apify.com/fetch_cat/trustpilot-scraper)
- [Google Maps Reviews Scraper](https://apify.com/fetch_cat/google-maps-reviews-scraper)
- [Shopify App Reviews Scraper](https://apify.com/fetch_cat/shopify-app-reviews-scraper)
- [Apple App Store Reviews Scraper](https://apify.com/fetch_cat/apple-app-store-reviews-scraper)

### Support

For help, open an issue from the Actor's **Issues** tab in Apify Console. Include a sample product URL, expected result, and run ID so the problem can be reproduced quickly.

# Actor input Schema

## `productUrls` (type: `array`):

Add 1–20 Capterra product or reviews URLs.

## `maxReviewsPerProduct` (type: `integer`):

Stop after this many matching reviews for each product.

## `sortOrder` (type: `string`):

Choose how Capterra reviews are ordered.

## `starRatings` (type: `array`):

Optionally keep only reviews with selected overall star ratings.

## Actor input object example

```json
{
  "productUrls": [
    {
      "url": "https://www.capterra.com/p/186596/Notion/reviews/"
    }
  ],
  "maxReviewsPerProduct": 10,
  "sortOrder": "MOST_RECENT"
}
```

# 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 = {
    "productUrls": [
        {
            "url": "https://www.capterra.com/p/186596/Notion/reviews/"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("fetch_cat/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 = { "productUrls": [{ "url": "https://www.capterra.com/p/186596/Notion/reviews/" }] }

# Run the Actor and wait for it to finish
run = client.actor("fetch_cat/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 '{
  "productUrls": [
    {
      "url": "https://www.capterra.com/p/186596/Notion/reviews/"
    }
  ]
}' |
apify call fetch_cat/capterra-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fetch_cat/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/Y3UYRtsUOYtsFfiwh/builds/qxfD0FNnnbvAwizYZ/openapi.json