# Skool Group Reviews Scraper - Ratings & Member Feedback (`devil_port369-owner/skool-group-reviews-scraper`) Actor

Scrape Skool group reviews at scale: star ratings, review text, reviewer profiles, membership dates. Optional sentiment analysis. Bulk group URLs, names, or IDs.

- **URL**: https://apify.com/devil\_port369-owner/skool-group-reviews-scraper.md
- **Developed by:** [DataFusionX](https://apify.com/devil_port369-owner) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.003 / actor start

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?

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`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **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

## Skool Group Reviews Scraper | Extract Ratings & Member Feedback

**Scrape public Skool group reviews** — star ratings, review text, reviewer profiles, membership dates, and optional **sentiment analysis**. Built for community research, competitor monitoring, and lead intelligence.

***

### What does the Skool Group Reviews Scraper do?

This Actor collects reviews from Skool community's group:

#### Features

| Feature | Description |
|--------|-------------|
| **Linear JSON** | Flat review rows for CSV / CRM / agents |
| **Reviewer cards** | Username, name, bio, avatar, level/points |
| **Optional sentiment** | Per-review label + group-level summary |
| **Human dates** | ISO timestamps; `last_offline` epoch → readable UTC |

***

### Why scrape Skool group reviews?

- **Competitor research** — see what members praise or complain about
- **Due diligence** — validate a community before joining or promoting
- **Product feedback mining** — themes across ratings
- **Creator intelligence** — who reviews, how long they stayed, paying status
- **AI pipelines** — structured text + sentiment for RAG / agents

***

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `groupUrls` | `string[]` | — | Group URLs, names, or IDs (**required**) |
| `maxReviews` | `integer` | `100` | Max reviews per group (`0` = unlimited) |
| `analyseSentimentalAnalysis` | `boolean` | `false` | Score each review + push overall summary |

#### Accepted group formats

```text
https://www.skool.com/satprep/about
https://www.skool.com/satprep
satprep
5cf9d50a674f48338609cb9cda1f9624
```

#### Example input

```json
{
  "groupUrls": [
    "https://www.skool.com/satprep/about",
    "satprep"
  ],
  "maxReviews": 100,
  "analyseSentimentalAnalysis": true
}
```

***

### Output

#### Review row (example)

```json
{
   "type": "review",
    "reviewId": "0f9f3cae6aa342f8aa6484dd69e32f54",
    "groupId": "5cf9d50a674f48338609cb9cda1f9624",
    "groupName": "satprep",
    "groupDisplayName": "The 1550+ Formula",
    "groupUrl": "https://www.skool.com/satprep",
    "groupAboutUrl": "https://www.skool.com/satprep/about",
    "rating": 5,
    "body": "increased my math score from 690 to 790 in 2 days after watching desmos regressions videos.",
    "createdAt": "2026-08-29T00:43:20.397873Z",
    "updatedAt": "2026-08-29T00:43:20.397873Z",
    "memberSince": "2026-04-06T17:53:01.275637Z",
    "memberUntil": null,
    "memberCurrentlyPaying": true,
    "userId": "e52fa41d45c8438a82f55e0b705abf36",
    "userUsername": "28918995",
    "userProfileUrl": "https://www.skool.com/@28918995",
    "userFirstName": "Shrimann",
    "userLastName": "K",
    "userFullName": "Shrimann K",
    "userBio": ",",
    "userLocation": null,
    "userTimeZone": "America/Indianapolis",
    "userPictureProfile": "https://assets.skool.com/f/e52fa41d45c8438a82f55e0b705abf36/26dbbe0429504b4ca011f59389a9b0b4d6b5a08fa2684f23865d21f6a922d908-md.jpg",
    "userPictureBubble": "https://assets.skool.com/f/e52fa41d45c8438a82f55e0b705abf36/26dbbe0429504b4ca011f59389a9b0b4d6b5a08fa2684f23865d21f6a922d908-sm.jpg",
    "userLastOffline": "2026-09-06T22:09:52.582827+00:00",
    "userCreatedAt": "2026-03-09T06:30:11.132038Z",
    "userUpdatedAt": "2026-09-06T22:09:52.583117Z",
    "userLinkWebsite": null,
    "userLinkInstagram": null,
    "userLinkYoutube": null,
    "userLinkTwitter": null,
    "userLinkFacebook": null,
    "userLinkLinkedin": null,
    "userLevel": 2,
    "userPoints": 5,
    "userRole": 4,
    "scrapedAt": "2026-09-07T08:47:20.259383+00:00",
    "sentimentScore": 0.2732,
    "sentimentLabel": "positive",
    "sentimentPosHits": 0,
    "sentimentNegHits": 0,
    "sentimentMethod": "vader"
}
```

#### Sentiment summary (when enabled)

```json
{
    "type": "sentiment_summary",
    "groupId": "5cf9d50a674f48338609cb9cda1f9624",
    "groupName": "satprep",
    "groupDisplayName": "The 1550+ Formula",
    "reviewCount": 34,
    "avgSentimentScore": 0.8315,
    "overallSentiment": "positive",
    "positiveCount": 31,
    "neutralCount": 3,
    "negativeCount": 0,
    "avgRating": 5,
    "sentimentConfidence": 0.9118
}
```

***

### Pricing (PPE)

| Event | Charged when |
|-------|----------------|
| `review-scraped` | Each review row pushed |
| `sentiment-summary` | Each group summary (if sentiment enabled) |

***

### Technical notes

- **No Skool login** for public review endpoints used here
- **Errors:** Short operational messages only (no stack traces / default exception dumps in logs)
- **Compliance:** Use only as allowed under Skool Terms and applicable privacy laws

***

### Related searches

Skool reviews scraper · scrape Skool group reviews · Skool rating extractor · Skool community feedback · Skool about page scraper · Skool member reviews API · Skool sentiment analysis · extract Skool testimonials

***

# Actor input Schema

## `groupUrls` (type: `array`):

Skool group URLs (https://www.skool.com/satprep/about), slugs (satprep), or 32-char group IDs.

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

Maximum reviews to collect per group. 0 = unlimited (paginate until end).

## `analyseSentimentalAnalysis` (type: `boolean`):

If enabled, score each review (positive/neutral/negative) and push an overall sentiment summary per group.

## Actor input object example

```json
{
  "groupUrls": [
    "https://www.skool.com/satprep/about",
    "satprep"
  ],
  "maxReviews": 100,
  "analyseSentimentalAnalysis": false
}
```

# Actor output Schema

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

No description

## `sentiment` (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 = {
    "groupUrls": [
        "https://www.skool.com/satprep/about",
        "satprep"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("devil_port369-owner/skool-group-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 = { "groupUrls": [
        "https://www.skool.com/satprep/about",
        "satprep",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("devil_port369-owner/skool-group-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 '{
  "groupUrls": [
    "https://www.skool.com/satprep/about",
    "satprep"
  ]
}' |
apify call devil_port369-owner/skool-group-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,devil_port369-owner/skool-group-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/3fftIh6Hrb9UhlwBd/builds/TWXyXYTDFIosPsNpM/openapi.json