Skool Profiles Info Scraper π¬ππ lets you extract detailed data from Skool profiles. With customizable filters, gather insights on profile names, usernames, bios, profile pictures, social media links, group memberships, stats, and more for your research or marketing projects! πππ
The Skool Profiles Info Scraper is a specialized tool designed to gather detailed information about Skool profiles.
Whether you're a marketer analyzing a user's engagement or a researcher tracking specific user activities, this tool makes it easy to extract profile data.
The Skool Profiles Info Scraper allows you to extract key details about Skool profiles based on profile URLs. Itβs perfect for analyzing a userβs presence, activities, and growth on Skool.
Simply input the profile URLs, and the tool will retrieve valuable data such as:
1Profile Name π§βπΌ 2Username π§βπ» 3Bio π 4Profile Picture πΌοΈ 5Location π 6Social Links π (e.g., Facebook, Instagram, YouTube, etc.) 7Profile Statistics π (Total Posts, Followers, Following, Shared Groups) 8Group Information π (Groups the profile is associated with, group statistics)
You can scrape as many profiles as needed, depending on the list of profile URLs you provide.
Set the profile URLs as input and let the tool work for you.
Profile URL Input π: Easily search for multiple Skool profiles by entering their URLs.
Comprehensive Profile Data π: Retrieve detailed information such as profile name, bio, social links, and more.
Group Details ποΈ: Get information about the groups the profile is part of, including group description, members, and posts.
Simple Setup π²: Input the profile URLs, and let the tool retrieve all the relevant profile details for you.
This scraper operates on a monthly subscription basis, priced at $9.99/month.
Using the Skool Profiles Info Scraper is simple:
11. Sign up for an account on the platform (e.g., Apify or your scraper provider). 2 32. Access the Skool Profiles Info Scraper on the platform. 4 53. Enter the profile URLs you want to scrape. For example: 6 7profile_urls = [ 8"https://www.skool.com/@samuel-earp", 9"https://www.skool.com/@liamottley"] 10 114. Start the scraper and let it fetch the profile data. 12 135. Download the data in your preferred format: JSON π, CSV π, XML π, Excel π, or HTML π.
User Profile Insights: Analyze user details, including bio, social media presence, and activity.
Community Engagement Tracking: Understand user involvement in groups and content sharing.
Profile Growth Analysis: Track the growth of followers, posts, and overall presence over time.
Competitive Research: Compare and analyze user profiles and their engagement in the Skool community.
Hereβs how you would structure the input for a Skool profile search:
1profile_urls = [ 2 "https://www.skool.com/@samuel-earp", 3 "https://www.skool.com/@liamottley" 4]
Once the extraction is complete, youβll receive the profile data in a structured format. Here's an example output:
1[ 2[ 3 { 4 "id": "28aba011b9c344119a379cd81036343a", 5 "name": "Samuel Earp", 6 "username": "samuel-earp", 7 "bio": "Landscape artist, content creator and online art teacher.\n", 8 "profile_picture": "https://assets.skool.com/f/28aba011b9c344119a379cd81036343a/d73ee1714ae44385829b65cd51a6f233eca7b877dae74837bc4f236d5819107e-md.jpg", 9 "bubble_picture": "https://assets.skool.com/f/28aba011b9c344119a379cd81036343a/d73ee1714ae44385829b65cd51a6f233eca7b877dae74837bc4f236d5819107e-sm.jpg", 10 "location": "New Zealand", 11 "social_links": { 12 "Facebook": "https://www.facebook.com/samuel.earp.artist", 13 "Instagram": "https://www.instagram.com/samuel_earp_artist/", 14 "Twitter": "https://twitter.com/Samuel_Earp_Art", 15 "LinkedIn": "https://www.linkedin.com/in/samuel-earp1/", 16 "YouTube": "https://www.youtube.com/@SamuelEarpArtist", 17 "Website": "https://samuelearp.com/" 18 }, 19 "statistics": { 20 "total_posts": 1322, 21 "total_followers": 4808, 22 "total_following": 30, 23 "total_shared_groups": 0 24 }, 25 "groups": [ 26 { 27 "id": "ab0323fe2af44fcab79dbe3189121d85", 28 "name": "thefamily", 29 "description": "Want to make $100,000/month? You're in the right place.", 30 "members": 148, 31 "posts": 300, 32 "logo": "https://assets.skool.com/f/ab0323fe2af44fcab79dbe3189121d85/7c2786db7fe748f08a1bbd0877f2994a736fa308403e4328a885089ba0bcaf94" 33 } 34 ] 35 } 36] 37 38]
If you're interested in other Pinterest, Google, social media scraper or real estate Actors:
Yes, you can use the API with Python. Simply install the apify-client Python package via PyPI.
To access the Skool Profiles Info Scraper API with Python, use the apify-client PyPI package. You can find more details about the client in the Python Client documentation.
π Leave us a βββββ if you are satisfied with the product! π For any questions, specific needs or issues, please reach out through Apify's platform or via email - Storm_Scraper πͺοΈπ©οΈ Happy scraping! π
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
No. This is a no-code tool β just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. Youβll be guided to input a search term and get structured results. No setup needed!