Skool Followers Scraper 🌐👥💬 - Fast & Cheap

Skool Followers Scraper 💬✨

The Skool Followers Scraper is a specialized tool designed for gathering detailed information about followers on Skool profiles.

Whether you're a marketer analyzing community engagement or a researcher tracking specific user profiles, this tool simplifies the process of extracting follower data.

Description 💬💯🎨

The Skool Followers Scraper enables you to extract key details about followers of a specific Skool profile based on the profile URL. It's perfect for understanding follower dynamics, analyzing engagement, and tracking follower growth.

Simply input the profile URL and set the maximum number of followers to scrape, and you can retrieve important data such as:

1Follower Name 🧑‍💼
2Follower Profile Picture 🖼️
3Follower Bio 📝
4Last Seen Status 👀 (Online/Offline)
5Follower Activity 🕒 (Last Seen Time)
6Link to Follower Profile 🔗
7Creation and Update Dates 📅

How many followers can you scrape? 🔍

You can scrape as many followers as needed, depending on the profil url and the maximum number of results set.

Set the maximum number of followers to fetch according to your research or monitoring needs.

Key Features ✨

• Profile URL Input 🔑: Easily search for followers based on a specific Skool profile URL.

• Comprehensive Follower Data 📝: Retrieve key information like follower name, bio, profile picture, online status, and more.

• Customizable Filters 🛠️: Set the maximum number of followers to fetch to match your research or monitoring needs.

• Simple Setup 📲: Input the profile URL and number of followers to scrape, then let the tool work.

💸 Pricing

This scraper operates on a monthly subscription basis, priced at $14.90/month.

How to Use? 📲

Using the Skool Followers Scraper is simple:

1Sign up for an account on the platform (e.g., Apify or your scraper provider).
2Access the Skool Followers Scraper on the platform.
3Enter the profile URL and set the maximum number of followers you want to scrape.
4Start the scraper and let it fetch the follower data for you.
5Download the data in your preferred format: JSON 📄, CSV 📊, XML 📑, Excel 📈, or HTML 🌐.

That's it! You’ll have a comprehensive list of followers with valuable insights for analysis.

Applications 🌟

Community Engagement Tracking: Track and monitor the online presence and activity of Skool followers.

Profile Growth Analysis: Analyze the number of followers and the activity of specific profiles over time.

Competitive Research: Identify follower trends and analyze the engagement levels of competing profiles.

User Behavior Insights: Learn more about the behavior, interests, and engagement levels of Skool users.

Example Input 📲 👌

Here’s how to structure the input for a Skool follower search:

1{
2    "profile_url": "https://www.skool.com/@liamottley",
3    "maxitems": 80
4}

Example Output from Skool Follower Scraper 👌

Once the extraction is complete, you’ll receive the follower data in a structured format. Here's an example output:

1[
2    {
3        "id": "5bc4a14ef9654c47adabfc36222e7f39",
4        "name": "swapnendu-kundu-3803",
5        "linkToProfile": "https://www.skool.com/@swapnendu-kundu-3803",
6        "pictureProfile": "https://assets.skool.com/f/5bc4a14ef9654c47adabfc36222e7f39/f9a690ee91b3427c9a37526172199371fce990146ec64c6abc26e7a01244159f-md.jpg",
7        "lastName": "Kundu",
8        "firstName": "Swapnendu",
9        "bio": "Passionate learner 🌱 | Exploring new ideas 💡 | Connect, share, and grow together! 💬 | Here to collaborate and level up",
10        "online": 1,
11        "lastOffline": "11:42:02 - 13/03/2025",
12        "pictureBubble": "https://assets.skool.com/f/5bc4a14ef9654c47adabfc36222e7f39/f9a690ee91b3427c9a37526172199371fce990146ec64c6abc26e7a01244159f-sm.jpg",
13        "createdAt": "2025-02-15T14:19:17.306134Z",
14        "updatedAt": "2025-03-13T14:22:06.126392Z"
15    }
16]

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Can I use this Skool Followers Scraper API in Python? 🎓

Yes, you can use the API with Python. Simply install the apify-client Python package via PyPI.

To access the Skool Followers Scraper API with Python, use the apify-client PyPI package. You can find more details about the client in our Python Client documentation.

📫 Support

😊 Leave us a ⭐⭐⭐⭐⭐ if you are satisfied with the product! 🌍 For any questions, specific needs or issues, please reach out through Apify's platform or via email - Storm_Scraper 🌪️🌩️ Happy scraping! 😊