# Skool Comments Scraper - Low-cost💲🔥💬📘 (`delectable_incubator/skool-comments-scraper-low-cost`) Actor

💬🔍 Extract comments from any Skool post with ease. Collect comment text, author names, profile details, upvotes, timestamps, replies, post URLs, and engagement metrics. Ideal for community analysis, sentiment research, audience insights, engagement tracking, and social media intelligence. 📊⚡

- **URL**: https://apify.com/delectable\_incubator/skool-comments-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Social media, Videos, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.00005 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use 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

<p align="center">
  <img src="https://i.ibb.co/jkNS73wX/readme.png" alt="PrimeScrape Skool Comments Scraper" width="100%">
</p>

---

## 💬📘 Skool Comments Scraper 🔍 | Bulk Skool Comments Extractor | Apify Actor

### 🚀 Extract Skool Comments in Seconds (No Code)

The **PrimeScrape Skool Comments Scraper** is a powerful, scalable, and SEO-optimized Apify Actor built to extract comments from any public Skool.com post. Scrape thousands of comments, user profiles, engagement metrics, and community data in bulk for analytics, AI datasets, lead generation, audience research, social listening, and business intelligence.

---

### 🔥 Why This Skool Comments Scraper?

✔ Best Skool Comments Scraper on Apify

✔ Bulk URL scraping (multi-URL mode 🚀)

✔ Fast & scalable cloud extraction

✔ Extract comments, user profiles & engagement

✔ Clean structured JSON / CSV / Excel output

✔ Perfect for AI datasets & community intelligence

✔ No coding required

---

### 🎯 What This Scraper Does (Skool Comment Extraction)

This Apify Actor extracts real-time comment data from public Skool posts.

#### 📌 Core Features

✅ Scrape comments from any public Skool post

✅ **Bulk URL scraping (SEO BOOST 🚀)**

✅ Extract comment content

✅ Extract upvotes

✅ Extract creation & update dates

✅ Extract commenter profile information

✅ Extract user bio

✅ Extract user location

✅ Extract LinkedIn profile (when available)

✅ Extract profile picture

✅ High-speed extraction engine

✅ Clean structured datasets

---

### ⚡ Input Configuration (Simple & Powerful)

#### 🔥 BULK URL MODE (SEO BOOST 🚀)

````

{
"urls": \[
"https://www.skool.com/community/post-1",
"https://www.skool.com/community/post-2",
"https://www.skool.com/community/post-3",
"https://www.skool.com/community/post-4"
],
"maxitems": 200
}

```

---

### 📊 Extracted Data

| Field | Description |
|------|-------------|
| comment_id | Unique comment identifier |
| content | Comment text |
| upvotes | Number of upvotes |
| created_at | Comment creation date |
| updated_at | Last update date |
| user_id | User identifier |
| user_name | Username |
| first_name | First name |
| last_name | Last name |
| user_bio | User bio |
| user_location | User location |
| user_linkedin | LinkedIn profile |
| user_picture | Profile picture URL |

---

### 💡 Use Cases (High Demand SEO Keywords)

This Skool scraper is ideal for:

💬 Skool comment scraping

📊 Community analytics

📈 Audience engagement analysis

🤖 AI training datasets

🧠 Sentiment analysis

👥 Creator community research

📡 Social listening

📣 Course feedback analysis

🏆 Top contributor analysis

📊 Community growth tracking

⚡ Bulk comment extraction

---

### 🚀 Key Features (Apify SEO Optimized)

⚡ Bulk URL scraping support

📌 Scrape unlimited Skool posts

🧠 Clean structured output

📊 High-speed extraction engine

🔁 Smart retry system

💾 Export-ready datasets

☁️ Cloud execution on Apify

🚀 Enterprise scalability

---

### 📤 Output Formats Supported

✔ JSON

✔ CSV

✔ Excel XLSX

✔ XML

✔ HTML

---

### 📦 Example Output

```

{
"comment\_id": "8d1bf35b9f6f4bc79ce05a42eac8a0bc",
"content": "Congratulations 👏",
"upvotes": 1,
"created\_at": "2025-01-22T10:17:54.399103Z",
"updated\_at": "2025-01-22T18:58:10.319785Z",
"user\_id": "a3898136f4a5487bb504f3d2c5c30601",
"user\_name": "nijat-hajiyev-9786",
"first\_name": "Nijat",
"last\_name": "Hajiyev",
"user\_bio": "Business Data Analyst",
"user\_location": "Krakow, Poland",
"user\_linkedin": "https://www.linkedin.com/in/nijathajiyevv/",
"user\_picture": "https://assets.skool.com/f/a3898136f4a5487bb504f3d2c5c30601/9e0293c02cc44d33b6762d924fbfbd5c8641af14de9049e18342f0c27fb9813b"
}

````

---

### 🔥 Why This is the BEST Skool Comments Scraper on Apify?

✔ Optimized for Apify marketplace ranking

✔ Bulk URL support (rare feature)

✔ Enterprise-ready architecture

✔ Clean structured datasets

✔ High-speed extraction

✔ Cloud scalability

✔ Perfect for community intelligence

✔ AI-ready output

---

### 💸 Pricing

This scraper runs on a pay-per-result pricing model.

You only pay for successfully extracted records.

💳 **Price: $2.99 / 1,000 results**

---

### ❓ FAQ (SEO BOOST SECTION)

#### Can I scrape multiple Skool posts at once?

Yes — Bulk URL mode is fully supported.

#### Can I scrape thousands of comments?

Yes — simply increase the maximum number of items.

#### Does it extract user information?

Yes — usernames, bios, locations, LinkedIn profiles, profile pictures, and more when available.

#### Is coding required?

No — this is a 100% no-code Apify Actor.

#### Can I export the data?

Yes — JSON, CSV, Excel, XML, and HTML are supported.

---

### ⚠️ Disclaimer

This tool is not affiliated with Skool.com.

It is an independent data extraction solution.

---

### 🔗 Related Actors (Community & Social Media Intelligence Suite)

We are building the complete **PrimeScrape Community Intelligence Suite.**

👉 More premium scrapers coming soon 🚀

---

### 🌍 PrimeScrape Ecosystem

Built for large-scale data extraction, AI datasets, business intelligence, automation, and market research.

💬 Community intelligence

📊 Social media analytics

🤖 AI training datasets

📈 Audience research

🧠 Sentiment analysis

⚙️ Automation pipelines

🚀 Cloud scraping at scale

---

### 📬 Support

⭐⭐⭐⭐⭐ Leave a review if you enjoy this scraper.

📩 Contact us for custom scraping solutions, enterprise projects, or dedicated data extraction services.

# Actor input Schema

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

List of Skool post URLs to scrape comments from.
Examples:
- https://www.skool.com/microsoft-fabric/i-took-the-dp-700-today-and-i-passed
- https://www.skool.com/microsoft-fabric/another-post-slug
## `maxitems_per_url` (type: `integer`):

Limits how many comments will be scraped from EACH Skool post.

## Actor input object example

```json
{
  "startUrls": [
    "https://www.skool.com/brendan/video-suggestions?p=2757db8a"
  ],
  "maxitems_per_url": 50
}
````

# Actor output Schema

## `results` (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 = {
    "startUrls": [
        "https://www.skool.com/brendan/video-suggestions?p=2757db8a"
    ],
    "maxitems_per_url": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/skool-comments-scraper-low-cost").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": ["https://www.skool.com/brendan/video-suggestions?p=2757db8a"],
    "maxitems_per_url": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/skool-comments-scraper-low-cost").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 '{
  "startUrls": [
    "https://www.skool.com/brendan/video-suggestions?p=2757db8a"
  ],
  "maxitems_per_url": 50
}' |
apify call delectable_incubator/skool-comments-scraper-low-cost --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=delectable_incubator/skool-comments-scraper-low-cost",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Skool Comments Scraper - Low-cost💲🔥💬📘",
        "description": "💬🔍 Extract comments from any Skool post with ease. Collect comment text, author names, profile details, upvotes, timestamps, replies, post URLs, and engagement metrics. Ideal for community analysis, sentiment research, audience insights, engagement tracking, and social media intelligence. 📊⚡",
        "version": "0.0",
        "x-build-id": "E7DbX7qIQENs7e32s"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/delectable_incubator~skool-comments-scraper-low-cost/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-delectable_incubator-skool-comments-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/delectable_incubator~skool-comments-scraper-low-cost/runs": {
            "post": {
                "operationId": "runs-sync-delectable_incubator-skool-comments-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/delectable_incubator~skool-comments-scraper-low-cost/run-sync": {
            "post": {
                "operationId": "run-sync-delectable_incubator-skool-comments-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "startUrls"
                ],
                "properties": {
                    "startUrls": {
                        "title": "Skool Post URLs 🌐",
                        "type": "array",
                        "description": "List of Skool post URLs to scrape comments from.\nExamples:\n- https://www.skool.com/microsoft-fabric/i-took-the-dp-700-today-and-i-passed\n- https://www.skool.com/microsoft-fabric/another-post-slug",
                        "items": {
                            "type": "string"
                        },
                        "default": [
                            "https://www.skool.com/brendan/video-suggestions?p=2757db8a"
                        ]
                    },
                    "maxitems_per_url": {
                        "title": "Maximum number of comments to scrape per URL 💬",
                        "type": "integer",
                        "description": "Limits how many comments will be scraped from EACH Skool post.",
                        "default": 50
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```