Pricing

from $3.50 / 1,000 results

Skool Scraper Ppe

Pay-per-event Skool scraper. Extract posts, comments, courses with modules, events, leaderboards, and community details from any public Skool group. Structured data including classroom content, member rankings, and calendar. Ideal for market research, competitor analysis, and community monitoring.

Pricing

from $3.50 / 1,000 results

Rating

0.0

(0)

Developer

SilentFlow

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Categories

Social media

Lead generation

You can access the Skool Scraper Ppe programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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  "components": {
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        "properties": {
          "startUrls": {
            "title": "Community URLs",
            "type": "array",
            "description": "Skool community URL(s) to scrape (e.g., https://www.skool.com/ai-automation-society). Supports community pages, individual post URLs, about, classroom, and calendar pages.",
            "items": {
              "type": "object",
              "required": [
                "url"
              ],
              "properties": {
                "url": {
                  "type": "string",
                  "title": "URL of a web page",
                  "format": "uri"
                }
              }
            }
          },
          "scrapeComments": {
            "title": "Scrape comments",
            "type": "boolean",
            "description": "Visit each post's detail page to extract all comments and replies. Disable for faster scraping of post listings only.",
            "default": true
          },
          "scrapeAbout": {
            "title": "Scrape about page",
            "type": "boolean",
            "description": "Extract community info: description, owner, member count, leaderboard, and links.",
            "default": true
          },
          "scrapeClassroom": {
            "title": "Scrape classroom",
            "type": "boolean",
            "description": "Extract all courses with titles, descriptions, and module counts.",
            "default": true
          },
          "scrapeCalendar": {
            "title": "Scrape calendar",
            "type": "boolean",
            "description": "Extract upcoming events with dates, descriptions, and locations.",
            "default": true
          },
          "maxItems": {
            "title": "Maximum number of posts",
            "minimum": 1,
            "maximum": 50000,
            "type": "integer",
            "description": "The maximum total number of posts to scrape across all communities.",
            "default": 50
          },
          "maxPages": {
            "title": "Maximum pages per community",
            "minimum": 1,
            "maximum": 2000,
            "type": "integer",
            "description": "Maximum number of post pages to scrape per community (~30 posts per page).",
            "default": 5
          },
          "requestTimeout": {
            "title": "Request timeout — seconds",
            "minimum": 10,
            "maximum": 120,
            "type": "integer",
            "description": "HTTP request timeout in seconds.",
            "default": 30
          },
          "debugMode": {
            "title": "Debug Mode",
            "type": "boolean",
            "description": "Activate to see detailed logs.",
            "default": false
          }
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              "startedAt": {
                "type": "string",
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                "example": "2025-01-08T00:00:00.000Z"
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              "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": {
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                    "type": "integer",
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                    "type": "integer",
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                  },
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                  },
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                  }
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                    "type": "string",
                    "example": "latest"
                  },
                  "timeoutSecs": {
                    "type": "integer",
                    "example": 300
                  },
                  "memoryMbytes": {
                    "type": "integer",
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                    "type": "integer",
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}

Skool Scraper Ppe OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Skool Scraper Ppe from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Skool Scraper Ppe API in Python

Skool Scraper Ppe API in JavaScript

Skool Scraper Ppe API through CLI

Skool Scraper Ppe API

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