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

Fast Scrape Capterra reviews with pros, cons, 5 sub-ratings, reviewer job title, company size, industry, and products they switched from.

- **URL**: https://apify.com/isofer/capterra-reviews-scraper.md
- **Developed by:** [Idan Sofer](https://apify.com/isofer) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 reviews

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/actors/running/actors-in-store.md#pay-per-event

## 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: only new reviews, clean data, any number of products

Get Capterra software reviews as clean, ready-to-use rows: pros, cons, five sub-ratings, likelihood to recommend, and who wrote each review (job title, industry, company size, time using the product, which tools they switched from).

**Run it once for history, then schedule it to get only the reviews written since your last run.**

### Why choose this actor?

- 🔔 **Only new reviews.** Set *Only reviews since* and the run stops as soon as it reaches older reviews. Daily monitoring runs finish in seconds and cost cents.
- 🧹 **Clean, analysis-ready data.** Ratings are numbers (`4`, not `"4.0"`), dates are ISO (`2026-09-24`), reviewer fields are flat columns, and "switched from" is a simple list of product names. Open it in Excel or feed it to an LLM without cleanup.
- 📦 **Many products per run, no free-tier limits.** Paste 1 or 100 product URLs. Free Apify accounts get the full actor, not a 5-review demo.
- ↕️ **Four sort orders**: Most recent, Most helpful, Highest rating, Lowest rating (complaints first).
- ⚡ **Fast.** Reviews are fetched 25 at a time from Capterra's own data feed, not by loading every page. About 1,000 reviews in 1–2 minutes.
- 💵 **Pay only for reviews you get.** No monthly rental. Cap any run with *Max cost per run*.

### Quick start

1. Paste one or more Capterra product URLs, e.g. `https://www.capterra.com/p/186596/Notion/`
2. Choose how many reviews per product and the sort order.
3. Click **Start**. Download results as CSV, Excel, or JSON, or read them via API.

#### Monitor new reviews every day

1. Set **Sort reviews by** = *Most recent* and **Only reviews since** = `1 day` (relative dates like `7 days` or `1 month` work too, so the schedule never needs editing).
2. In Apify Console click **Schedule** → daily.
3. Add an integration (Slack, Google Sheets, Make, Zapier, webhook) to receive the new reviews automatically.

#### Common recipes

| Goal | Settings |
| --- | --- |
| Competitor's biggest complaints | Sort = *Lowest rating*, Max reviews = 200 |
| Why customers switch to a competitor | Sort = *Most recent*, then filter rows where `switchedFrom` is not empty |
| Full review history for research | Sort = *Most recent*, Max reviews = 10000 |
| Weekly digest for your own product | Sort = *Most recent*, Only reviews since = `7 days`, scheduled weekly |

### Copy to your AI assistant

Paste this into ChatGPT, Claude, Cursor, or any agent connected to Apify (for example via the Apify MCP server):

```text
Use the Apify actor "isofer/capterra-reviews-scraper" to get Capterra reviews.
Input JSON:
{
  "startUrls": [{ "url": "https://www.capterra.com/p/<id>/<slug>/" }],
  "maxReviewsPerProduct": 100,
  "sortBy": "MOST_RECENT",            // MOST_RECENT | MOST_HELPFUL | HIGHEST_RATED | LOWEST_RATED
  "reviewsSince": "30 days"           // optional, YYYY-MM-DD or "N days|weeks|months|years"
}
Each dataset item is one review with: productName, date, overallRating (1-5),
easeOfUseRating, customerSupportRating, valueForMoneyRating, functionalityRating,
likelihoodToRecommend (0-10), title, pros, cons, comments, reasonsForSwitching,
switchedFrom[], alternativesConsidered[], reviewerJobTitle, reviewerIndustry,
reviewerCompanySize, timeUsedProduct, incentive, source.
Find the product URL by searching "capterra <product name>" if you don't have it.
```

### Input

| Field | Description | Default |
| --- | --- | --- |
| `startUrls` | Capterra product or reviews URLs (`https://www.capterra.com/p/{id}/{slug}/…`). Anything after the slug (`/reviews/`, `#pros-cons`) is ignored. | required |
| `maxReviewsPerProduct` | Stop after this many reviews per product. | `100` |
| `sortBy` | `MOST_RECENT`, `MOST_HELPFUL`, `HIGHEST_RATED`, or `LOWEST_RATED`. | `MOST_RECENT` |
| `reviewsSince` | Only reviews written on or after this date: `YYYY-MM-DD` or relative (`1 day`, `2 weeks`, `3 months`). With `MOST_RECENT` the run stops early. | none |
| `proxyConfiguration` | Residential proxy is recommended and set by default. | Residential |
| `maxConcurrency` | How many products to scrape in parallel. | `3` |

### Output

One item per review:

```json
{
    "reviewId": "Capterra___7218806",
    "source": "Capterra",
    "productName": "Notion",
    "productUrl": "https://www.capterra.com/p/186596/Notion/",
    "productReviewsUrl": "https://www.capterra.com/p/186596/Notion/reviews/",
    "title": "Notion vs Airtable: Choose Based on Your Use Case, Not Just Features",
    "date": "2026-09-24",
    "overallRating": 4,
    "easeOfUseRating": 5,
    "customerSupportRating": 4,
    "valueForMoneyRating": 4,
    "functionalityRating": 4,
    "likelihoodToRecommend": 8,
    "pros": "Beautiful, intuitive interface that's incredibly easy to learn...",
    "cons": "Not optimized for real-time data operations and analytics...",
    "comments": "Notion is exceptional for teams wanting an all-in-one workspace...",
    "reasonsForChoosing": null,
    "reasonsForSwitching": "Excel and Trello were limiting for centralized knowledge management...",
    "adviceToOthers": null,
    "switchedFrom": ["Trello", "Google Sheets", "Microsoft Excel"],
    "alternativesConsidered": [],
    "incentive": "NO",
    "incentiveDescription": "No Incentive Offered: This review was submitted organically.",
    "reviewerName": "Japhet K.",
    "reviewerJobTitle": "Data Analyst",
    "reviewerIndustry": "Information Technology and Services",
    "reviewerCompanySize": "201-500 employees",
    "timeUsedProduct": "6-12 months",
    "reviewerVerifiedLinkedIn": true,
    "reviewerValidations": ["LinkedIn", "ProofOfLink"],
    "anonymous": false,
    "productTotalReviews": 2835,
    "productOverallRating": 4.7,
    "scrapedAt": "2026-10-13T08:21:12.350Z"
}
```

`source` shows where the review was originally written: some reviews on Capterra are syndicated from GetApp or Software Advice. `incentive` codes: `NO` = no incentive, `NGC` = nominal gift card, `VR` = vendor referred.

### Pricing

You pay **$1.25 per 1,000 reviews** plus a small start fee of $0.005 per GB of memory per run (default 2 GB, so $0.01 per run). Platform usage is included.

Paid Apify plans get a lower price per review:

| Apify plan | Price per 1,000 reviews |
| --- | --- |
| Free | $1.25 |
| Starter | $1.15 |
| Scale | $1.10 |
| Business | $1.00 |

Examples below use the Free plan price.

| Run | Approximate cost |
| --- | --- |
| 100 reviews | $0.14 |
| 1,000 reviews | $1.26 |
| 10,000 reviews | $12.51 |
| Daily monitoring, ~5 new reviews a day | about $0.50 per month |

Apify's free plan includes monthly credit, which covers a few thousand reviews.

### Use via API

**Python**

```python
from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("isofer/capterra-reviews-scraper").call(run_input={
    "startUrls": [{"url": "https://www.capterra.com/p/186596/Notion/"}],
    "maxReviewsPerProduct": 200,
    "sortBy": "LOWEST_RATED",
})
for review in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(review["overallRating"], review["cons"])
```

**JavaScript**

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

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('isofer/capterra-reviews-scraper').call({
    startUrls: [{ url: 'https://www.capterra.com/p/186596/Notion/' }],
    sortBy: 'MOST_RECENT',
    reviewsSince: '2026-09-01',
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.length, 'new reviews');
```

### FAQ

**Do I need a Capterra account or API key?** No. The actor reads public review pages.

**Why is a residential proxy recommended?** Capterra is protected by Cloudflare. Residential IPs pass its checks reliably; the cost is already included in the price.

**How many reviews can I get per product?** All of them. Capterra shows every review through paging; set *Max reviews per product* as high as you need.

**Can it scrape GetApp or Software Advice?** Reviews syndicated from those sites appear on Capterra and are included, marked with `source`. Dedicated support is planned.

**Something missing or broken?** Open an issue on the actor's Issues tab. Fixes usually ship within a day.

### Legal

This actor collects only publicly available data. Reviewer names are returned exactly as Capterra shows them publicly (first name and last initial). If you process personal data, make sure you have a legitimate reason and comply with GDPR and other applicable laws. This actor is independent and not affiliated with Capterra or Gartner.

# Actor input Schema

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

Capterra product or reviews page URLs, e.g. https://www.capterra.com/p/186596/Notion/

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

Stop after this many reviews for each product.

## `sortBy` (type: `string`):

Order in which reviews are collected. Use "Lowest rating" to find complaints first.

## `reviewsSince` (type: `string`):

Only return reviews written on or after this date. Use a fixed date (YYYY-MM-DD) or a relative one like "7 days" for scheduled monitoring runs.

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

Capterra uses Cloudflare. Residential proxies give the most reliable results.

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

How many products to scrape in parallel.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.capterra.com/p/186596/Notion/"
    }
  ],
  "maxReviewsPerProduct": 100,
  "sortBy": "MOST_RECENT",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "maxConcurrency": 3
}
```

# Actor output Schema

## `reviews` (type: `string`):

Reviews table with the most useful columns: product, date, rating, title, pros, cons, reviewer role, company size, industry, and tools switched from.

## `reviewsAllFields` (type: `string`):

Every field for each review, including all five sub-ratings, likelihood to recommend, incentive status, and reviewer validations.

# 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/186596/Notion/"
        }
    ],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("isofer/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/186596/Notion/" }],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("isofer/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/186596/Notion/"
    }
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call isofer/capterra-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,isofer/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/MdK8iDwHsodDjAZKc/builds/M3qqPgYYdGd2UT3vH/openapi.json