Skool Comment Scraper

Extract comments from Skool community posts with flexible options for replies — perfect for community insights, sentiment analysis, and engagement tracking.

What gets scraped: By default, this actor collects top-level comments only to minimize costs. Enable the includeReplies option to also collect nested replies and preserve the complete discussion hierarchy with parent-child relationships.

What You Get

• 📊 Flexible Comment Collection — Top-level comments by default; optionally include nested replies for complete conversation threads
• 💬 Rich Metadata — Author names, usernames, timestamps, likes, and reply relationships
• 🔗 Auto-Extract Links & Contacts — Automatically extracts social media URLs, emails, and phone numbers from comments
• 🔄 Fully Automated — No manual work required
• 📦 Batch Processing — Handle multiple posts in one run
• ⚡ Fast & Reliable — Efficient data collection with built-in rate limiting
• 💰 Pay Per Comment — Only pay for the comments you collect

Input Parameters

Field	Type	Required	Description
email	String	Yes	Your Skool account email
password	String	Yes	Your Skool account password
postUrls	Array	Yes	List of Skool post URLs to scrape
maxComments	Integer	No	Maximum comments per post (0 = unlimited)
includeReplies	Boolean	No	Include nested replies (default: false = only top-level comments)

Output

Each scraped comment includes:

Field	Description
commentId	Unique identifier for the comment
commentUrl	Direct URL to this specific comment
authorName	Full name of the comment author
authorUsername	Username of the author
authorId	Unique author identifier
content	Comment text (cleaned and formatted)
timestamp	When the comment was posted (ISO 8601)
likesCount	Number of likes received
isReply	Whether this is a reply to another comment
parentId	ID of parent comment (if reply)
depth	Reply nesting level (0 = top-level)
postUrl	Source post URL
collectedAt	When data was collected (ISO 8601)
linkedinUrls	Array of LinkedIn profile/company URLs found in comment
twitterUrls	Array of Twitter/X profile URLs found in comment
facebookUrls	Array of Facebook profile/page URLs found in comment
instagramUrls	Array of Instagram profile URLs found in comment
youtubeUrls	Array of YouTube channel/video URLs found in comment
tiktokUrls	Array of TikTok profile URLs found in comment
githubUrls	Array of GitHub profile/repo URLs found in comment
otherSocialUrls	Array of other social media URLs (Reddit, Discord, etc.)
emails	Array of email addresses found in comment
phoneNumbers	Array of phone numbers found in comment
generalUrls	Array of other URLs (non-social media) found in comment

Example Output

{
  "commentId": "abc123def456",
  "commentUrl": "https://www.skool.com/community/post-title?p=abc123de",
  "authorName": "John Doe",
  "authorUsername": "johndoe",
  "authorId": "user_789",
  "content": "Great discussion! Check out my LinkedIn: https://linkedin.com/in/johndoe or email me at john@example.com",
  "timestamp": "2025-11-03T10:30:00Z",
  "likesCount": 42,
  "isReply": false,
  "parentId": null,
  "depth": 0,
  "postUrl": "https://www.skool.com/community/post-title",
  "collectedAt": "2025-11-03T12:00:00Z",
  "linkedinUrls": ["https://linkedin.com/in/johndoe"],
  "twitterUrls": [],
  "facebookUrls": [],
  "instagramUrls": [],
  "youtubeUrls": [],
  "tiktokUrls": [],
  "githubUrls": [],
  "otherSocialUrls": [],
  "emails": ["john@example.com"],
  "phoneNumbers": [],
  "generalUrls": []
}

Processing Time

Typical run times based on the amount of data (with includeReplies=false, default):

• Small posts (≤10 top-level comments): ~15-20 seconds
• Medium posts (≤50 top-level comments): ~25-30 seconds
• Large posts (≤100 top-level comments): ~35-40 seconds
• Very large posts (≤500 top-level comments): ~2-3 minutes

With includeReplies=true (including nested replies):

• Processing time increases by 3-10x depending on reply depth
• Example: 100 comments with replies (~500 total) may take ~3-5 minutes

Note: Actual time may vary based on post complexity, reply depth, and current platform load.

Use Cases

• Community Analysis - Understand member sentiment and engagement patterns
• Content Research - Find popular topics and trending discussions
• Sentiment Analysis - Analyze community feedback and opinions
• Engagement Tracking - Monitor discussion activity over time
• Market Research - Gather insights from targeted communities
• Lead Generation - Extract contact information and social profiles from engaged community members
• Network Analysis - Map social connections and identify influencers through linked profiles

Requirements

• Active Skool account (email + password)
• Access to the posts you want to scrape
• Posts must be visible to your account (public or member-accessible)

Pricing

This Actor uses pay-per-event pricing — you only pay for what you use. No monthly fees or subscriptions.

Event	Description
Actor start	Charged once per run when the Actor starts
Comment collected	Charged per comment successfully scraped and saved

Tip: Set includeReplies: false (default) to collect only top-level comments and keep costs low. Enable replies only when you need the full conversation thread.

Important Notes

• ✅ Collects top-level comments by default (set includeReplies: true for nested replies)
• ✅ Automatically extracts links, emails, and phone numbers from comments
• ✅ Supports major social platforms (LinkedIn, Twitter, Facebook, Instagram, YouTube, TikTok, GitHub, etc.)
• ⚠️ Requires valid Skool account credentials
• ⚠️ Can only access posts visible to your account
• ⚠️ Processing time scales with comment volume

Disclaimer

This Actor is intended for educational and research purposes only. By using this Actor, you agree to:

• Use the collected data responsibly and in compliance with applicable laws
• Respect Skool's Terms of Service and community guidelines
• Not use the data for spamming, harassment, or any unauthorized commercial purposes
• Take full responsibility for how you use the extracted data

The developer is not responsible for any misuse of this tool or the data it collects.

Support

For questions or issues, please reach out through Apify support.