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πŸŽ“ Skool Profile Infos Scraper

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πŸŽ“ Skool Profile Infos Scraper

πŸŽ“ Skool Profile Infos Scraper

πŸŽ“ Skool Profile Infos Scraper extracts public Skool profile data β€” name, username, bio, avatar, links, location, followers & activity. πŸ”Ž Export CSV/JSON for CRM enrichment, community research, lead gen & outreach. ⚑ Fast, reliable, scalable. πŸš€

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from $5.99 / 1,000 results

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πŸŽ“ Skool Profile Infos Scraper

The πŸŽ“ Skool Profile Infos Scraper turns public Skool profile pages into clean, structured data for analysis and outreach. It solves the manual copy-paste problem by extracting names, bios, locations, pictures, social links, statistics, and communities from public profiles and delivering them as JSON/CSV. Built for marketers, developers, data analysts, and researchers, this Skool profile info scraper and Skool community scraper lets you scale from a single profile to bulk runs for lead gen, CRM enrichment, and community research.

What data / output can you get?

Data fieldDescriptionExample value
idUnique Skool user identifier"usr_7a9d3e12"
nameFull name (first + last fallback)"Alex Johnson"
usernameSkool username (name field from page)"alex-johnson"
bioProfile biography text"Founder @ Growth Lab. Helping communities scale."
locationLocation from profile metadata"Austin, TX"
profile_pictureProfile photo URL"https://cdn.skool.com/profiles/123/profile.jpg"
bubble_pictureBubble/mini avatar URL"https://cdn.skool.com/profiles/123/bubble.jpg"
social_links.WebsiteWebsite URL from profile"https://alexgrowth.io"
statistics.total_followersTotal follower count1250
statistics.total_postsTotal post count87
followersFlat metric for followers (from statistics)1250
groups_countCount of groups the user is a member of4

Notes:

  • groups is returned as an array of objects with fields: id, name, description, members, posts, logo.
  • Additional social_links keys include Facebook, Instagram, Twitter, LinkedIn, YouTube.
  • Export your Skool profiles to CSV or JSON from the dataset for pipelines like CRM enrichment or research.

Key features

  • ⚑ Smart connection escalation Tries direct first, then datacenter (SHADER), and finally residential proxies with up to 3 retries per URL when needed. After the first successful residential escalation, it β€œsticks” to residential for later URLs to improve stability.

  • πŸ§‘β€πŸ€β€πŸ§‘ Bulk URL support Paste one or many Skool profile URLs (Skool members scraper workflow) and collect structured data in a single run.

  • πŸ“Š Rich, structured fields Extract name, username, bio, photos, location, social links, statistics, and groups β€” ideal for Skool user data extractor and Skool community data export needs.

  • 🟒 Live dataset output Rows appear in the Apify Dataset as each profile finishes processing. Monitor progress in real time.

  • πŸ”Œ Developer-friendly Works seamlessly with Apify’s Dataset and API so you can integrate results into pipelines for Skool profile data scraper use cases and automate exports.

  • πŸ’Ύ Easy exports Download results as JSON or CSV for analytics, dashboards, or β€œSkool profiles export to CSV” workflows.

  • πŸ›‘οΈ Public data only Targets publicly visible profiles, making it a safe Skool scraping tool alternative to unstable browser-based methods.

How to use πŸŽ“ Skool Profile Infos Scraper - step by step

  1. Sign in to Apify Create or log into your Apify account so you can run the actor and access datasets.

  2. Open the actor Launch β€œπŸŽ“ Skool Profile Infos Scraper” in Apify Console.

  3. Add input data In the urls field, paste one or more Skool profile links like:

  4. (Optional) Configure proxy Leave defaults if unsure. The actor starts direct, then may use datacenter (SHADER) and residential proxies if needed. You can enable Apify Proxy in proxyConfiguration.

  5. Start the run Click Start. The run begins fetching each profile and pushes structured rows to the Dataset as they complete.

  6. Monitor progress Watch the logs. You’ll see connection attempts and success summaries for each profile.

  7. Download results Open the Dataset to view records. Export as JSON or CSV for analysis, pipelines, and reporting.

Pro Tip: Automate your Skool member list export by triggering runs via the Apify API and piping results into CRMs or warehouses for ongoing outreach and research.

Use cases

Use caseDescription
Marketing outreach listsBuild targeted lists from public profiles and export Skool profiles to CSV/JSON for campaigns.
Sales lead generationEnrich leads with profile bios, locations, and social links for better personalization.
Community research & analyticsAggregate statistics and groups to analyze member engagement across communities.
CRM enrichmentAppend profile details and activity metrics to contact records for improved segmentation.
Academic & social researchCollect structured profile data for studies on community dynamics and network effects.
Data warehouse syncUse the Apify API to feed JSON output into pipelines for analytics dashboards.
Skool user directory buildingCrawl public profiles to create a Skool user directory scraper workflow for internal search.

Why choose πŸŽ“ Skool Profile Infos Scraper?

  • 🎯 Precision on public profiles: Purpose-built to parse Skool’s embedded data and deliver clean, structured outputs.
  • βš™οΈ Scalable & reliable: Handles single profiles to bulk lists with smart proxy escalation for high success rates.
  • πŸ‘¨β€πŸ’» Developer-ready: Use the dataset and Apify API for automation in pipelines and apps.
  • πŸ”’ Safe & ethical: Public data only β€” no login or private areas accessed.
  • πŸ’Έ Cost-effective automation: Replace manual copy-paste and unstable extensions with a production-ready Skool scraping tool.
  • πŸ”„ Better than browser extensions: Runs on Apify’s infrastructure for consistency, monitoring, and repeatability.

Yes, when done responsibly. This actor collects data from publicly visible Skool profile pages only and does not access private or authenticated content.

Guidelines:

  • Scrape only public pages and respect Skool’s terms.
  • Use data for compliant purposes (e.g., research, analysis, and opt-in outreach).
  • Adhere to applicable regulations (e.g., GDPR, CCPA).
  • Consult your legal team for edge cases or jurisdiction-specific questions.

Input parameters & output format

Example JSON input

{
"urls": [
"https://www.skool.com/@samuel-earp",
"https://www.skool.com/@liamottley"
],
"proxyConfiguration": {
"useApifyProxy": true
}
}

Parameters

Example JSON output (success)

{
"id": "usr_7a9d3e12",
"name": "Alex Johnson",
"username": "alex-johnson",
"bio": "Founder @ Growth Lab. Helping communities scale.",
"profile_picture": "https://cdn.skool.com/profiles/123/profile.jpg",
"bubble_picture": "https://cdn.skool.com/profiles/123/bubble.jpg",
"location": "Austin, TX",
"social_links": {
"Facebook": "https://facebook.com/alex",
"Instagram": "https://instagram.com/alex",
"Twitter": "https://twitter.com/alex",
"LinkedIn": "https://linkedin.com/in/alex",
"YouTube": "",
"Website": "https://alexgrowth.io"
},
"statistics": {
"total_posts": 87,
"total_followers": 1250,
"total_following": 210,
"total_shared_groups": 3
},
"groups": [
{
"id": "grp_1001",
"name": "Growth Marketers",
"description": "Scaling acquisition and retention.",
"members": 5400,
"posts": 1200,
"logo": "https://cdn.skool.com/groups/1001/logo.png"
}
],
"followers": 1250,
"posts": 87,
"groups_count": 1
}

Example JSON output (failure)

{
"url": "https://www.skool.com/@unknown-user",
"error": "HTTP 404"
}

Notes:

  • On success, you’ll get the full profile object plus flat metrics: followers, posts, groups_count.
  • On failure, the row includes the url and error fields only.

FAQ

Do I need to log in or provide cookies?

βœ… No. The actor extracts data from publicly visible Skool profile pages and does not require login or cookies.

What kinds of data does it collect from profiles?

πŸ“Š It collects id, name, username, bio, profile photos, location, social_links (Facebook, Instagram, Twitter, LinkedIn, YouTube, Website), statistics (total_posts, total_followers, total_following, total_shared_groups), and groups with id, name, description, members, posts, and logo.

Can I export the results to CSV or JSON?

πŸ’Ύ Yes. Open the Dataset after the run and export your Skool profiles to CSV or JSON for use in CRMs, analytics, or dashboards.

Does it support bulk profile scraping?

πŸ§‘β€πŸ€β€πŸ§‘ Yes. Add as many profile URLs as you need to the urls array and the actor will process them one by one, pushing rows as each completes.

How does the proxy handling work?

πŸ”Œ The actor connects directly first. If needed, it escalates to datacenter (SHADER), then to residential proxies with up to 3 retries per URL. After the first escalation to residential, all later URLs use the residential connection for stability.

What happens if a profile can’t be loaded or parsed?

⚠️ The actor saves the row with url and error so you can diagnose issues quickly in the Dataset.

Can I automate this with an API?

🧩 Yes. As an Apify actor, it works with the Apify API so you can trigger runs programmatically and fetch results for automation pipelines.

Is this better than using a Chrome extension?

πŸ›‘οΈ Typically yes for reliability. This Skool profile crawler runs on Apify infrastructure with logs, retries, and proxy options, making it a robust alternative to a Skool profiles scraper Chrome extension.

Closing CTA / Final thoughts

The πŸŽ“ Skool Profile Infos Scraper is built for fast, reliable extraction of public Skool profile data at scale. It helps marketers, sales teams, analysts, and researchers turn profiles into structured insights for outreach, enrichment, and community analytics.

Run it from the Apify Console, export CSV/JSON, and integrate via the Apify API for end-to-end automation. Start extracting smarter Skool member insights and power your next campaign, dashboard, or research project today.