Who Engaged With Me - Cross-Platform Social Media Engagement Tracker

Discover who interacts with your content across multiple social media platforms. This powerful Apify Actor tracks likes, comments, shares, stars, forks, followers, and more — then uses intelligent identity matching to identify the same person engaging with you on different networks.

Supported Platforms (All 10!)

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Why Use This Tool?

In today's multi-platform digital world, your audience engages with you across GitHub, X (formerly Twitter), LinkedIn, YouTube, Reddit, and more. But tracking who's genuinely interested in your content requires checking each platform separately — until now.

Who Engaged With Me solves this problem by:

• Aggregating engagement data from all your social media accounts in one place
• Identifying your most engaged followers with weighted scoring that values meaningful interactions
• Matching identities across platforms so you know when the same person engages on multiple networks
• Analyzing sentiment of comments and replies to understand engagement quality
• Tracking trends to identify peak activity times and engagement velocity
• Providing actionable exports in CSV, JSON, and CRM-ready formats

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Key Features

Multi-Platform Social Media Tracking

One actor run connects to 10 platforms simultaneously, extracts engagement data using the optimal method for each (API, Apify actors, or web scraping), and merges everything into a unified view of who's engaging with you.

Track engagement and interactions from 10 major platforms:

Platform	What We Track	Authentication
	Stars, Forks, Issues, Pull Requests, Comments, Followers	Optional (token for private repos)
	Likes, Reposts, Replies, Mentions, Quotes, Followers	Optional (bearer token for API)
	Reactions, Comments, Profile Views, Connection Requests	Session cookie required
	Comments, Replies, Subscribers	API key optional
	Post Comments, Comment Replies, Mentions	None required
	Likes, Comments, Followers, Story Views	Session ID optional
	Comments, Followers	None required
	Claps, Responses, Followers	None required
	Likes, Replies, Reposts	None required
	Reactions, Comments, Shares	Access token optional

Intelligent Cross-Platform Identity Matching

Our advanced matching algorithm identifies when the same person engages with you on different platforms using:

• Username similarity — Fuzzy matching catches variations like john_smith, johnsmith, and john-smith
• Display name matching — Recognizes "John Smith" across different networks
• Linked account detection — Parses bios for social media links
• Email and website matching — Connects accounts with shared contact info

Weighted Engagement Scoring

Not all engagements are equal. Our scoring system prioritizes high-value interactions:

	Engagement Type	Score	Why It Matters
	Follow / Subscribe	10	Shows commitment to your content
	Fork (GitHub)	8	Indicates intent to use or build on your work
	Pull Request	8	Demonstrates active contribution
	Issue / Bug Report	7	Shows investment in improving your project
	Comment / Reply	6	Requires effort and thought
	Quote / Share	5	Amplifies your content to their audience
	Repost / Retweet	5	Extends your reach
	Mention	5	Brings you into their conversation
	Star / Watch	4	Bookmarks your content for later
	Like / Reaction	2	Quick acknowledgment
	Profile View	1	Passive interest

Advanced Analytics (NEW!)

Sentiment Analysis

Understand the quality of engagement with automatic sentiment analysis:

• Analyzes comments, replies, and responses
• Identifies positive, negative, neutral, and mixed sentiment
• Tracks sentiment trends over time
• Highlights key sentiment keywords

Trend Analysis

Track engagement patterns and identify opportunities:

• Overall trend direction (growing, stable, declining)
• Peak activity hours and days
• Engagement velocity (per day, week, month)
• Emerging engagers (new high-activity users)
• Churning engagers (previously active users who stopped)

Export Options

Get your data in the format you need:

• JSON Export — Full structured data for developers
• CSV Export — Spreadsheet-compatible for analysis
• CRM-Ready Export — Pre-formatted with tags and notes for sales tools
• Markdown Report — Human-readable summary document

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Who Is This For?

Sales & Business Development Professionals

Identify warm leads who are already engaging with your content. Know which prospects are showing interest before you reach out.

Recruiters & Talent Acquisition Teams

Find candidates who are actively engaging with your company's content, job posts, or team members.

Content Creators & Influencers

Discover your superfans — the people who consistently engage across multiple platforms. Build deeper relationships with your most loyal audience.

Job Seekers & Career Professionals

See which companies, recruiters, and industry leaders are viewing your profile and engaging with your posts.

Startup Founders & Entrepreneurs

Track engagement from potential investors, partners, and customers who are showing interest in your work.

Personal Brand Builders

Understand who's paying attention to your expertise. Identify networking opportunities and potential collaborators.

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How It Works

Actor Flow

The actor processes your request through a sophisticated pipeline: input validation → multi-platform data extraction → identity matching → scoring and filtering → optional sentiment and trend analysis → export to multiple formats.

Step 1: Configure Your Platforms

Select which social media platforms you want to track and provide the necessary credentials:

{
  "platforms": ["github", "twitter", "linkedin", "youtube", "reddit", "instagram", "tiktok", "medium", "threads", "facebook"],
  "githubUsername": "your-github-username",
  "githubAccessToken": "ghp_xxxxxxxxxxxx",
  "githubTrackRepos": true,
  "githubTrackIssues": true,
  "githubTrackFollowers": true,
  "twitterUsername": "your-x-handle",
  "twitterTrackLikes": true,
  "twitterTrackRetweets": true,
  "twitterTrackReplies": true,
  "twitterTrackMentions": true,
  "linkedinProfileUrl": "https://linkedin.com/in/your-profile",
  "linkedinSessionCookie": "your-li_at-cookie",
  "linkedinTrackPostEngagement": true,
  "linkedinTrackProfileViews": true,
  "instagramUsername": "your-instagram-handle",
  "tiktokUsername": "your-tiktok-handle",
  "mediumUsername": "your-medium-username",
  "threadsUsername": "your-threads-username",
  "facebookPageId": "your-page-id",
  "timeRange": "7d",
  "enableIdentityMatching": true,
  "enableSentimentAnalysis": true,
  "enableTrendAnalysis": true,
  "exportFormat": "both",
  "exportCRMFormat": true,
  "generateReport": true,
  "maxResults": 500
}

Step 2: Run the Actor

Execute the Actor on Apify's cloud infrastructure. It will:

1. Connect to each configured platform
2. Extract engagement data within your specified time range
3. Match identities across platforms
4. Score and rank your engagers
5. Analyze sentiment of text-based engagements
6. Calculate engagement trends and velocity
7. Generate exports in your chosen formats
8. Save results to the dataset and key-value store

Step 3: Review Your Results

Get a comprehensive view of who's engaging with your content:

{
  "displayName": "John Smith",
  "platforms": ["github", "twitter", "instagram"],
  "totalEngagements": 23,
  "engagementScore": 67,
  "engagementTypes": ["star", "fork", "repost", "reply", "like", "comment"],
  "lastEngagement": "2024-01-15T10:30:00Z",
  "matchConfidence": 0.95,
  "contactInfo": {
    "email": "john@example.com",
    "twitter": "johnsmith",
    "github": "jsmith",
    "website": "https://johnsmith.com"
  },
  "platformBreakdown": [
    {
      "platform": "github",
      "username": "jsmith",
      "engagementCount": 8,
      "engagementTypes": ["star", "fork"]
    },
    {
      "platform": "twitter",
      "username": "johnsmith",
      "engagementCount": 10,
      "engagementTypes": ["repost", "reply", "like"]
    },
    {
      "platform": "instagram",
      "username": "john.smith",
      "engagementCount": 5,
      "engagementTypes": ["like", "comment"]
    }
  ]
}

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Configuration Options

Time Range

Choose how far back to look for engagements:

• 24h — Last 24 hours
• 7d — Last 7 days (default)
• 30d — Last 30 days
• 90d — Last 90 days
• all — All available data

Identity Matching Settings

• Enable/Disable — Turn cross-platform matching on or off
• Confidence Threshold — Set minimum similarity score (0.5 to 1.0) for matching accounts

Advanced Features

• Sentiment Analysis — Analyze comment/reply sentiment (enabled by default)
• Trend Analysis — Track engagement patterns over time (enabled by default)
• Export Format — Choose JSON, CSV, or both
• CRM Export — Generate CRM-ready format with tags and notes
• Include Raw Engagements — Include detailed engagement data in exports
• Generate Report — Create a markdown summary report

Output Controls

• Minimum Engagement Score — Filter out low-engagement users
• Maximum Results — Limit the number of engagers returned (up to 10,000)

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Authentication Setup Guide

GitHub Personal Access Token

1. Go to GitHub Settings → Developer Settings → Personal Access Tokens
2. Click Generate new token (classic)
3. Select scopes: repo, user, read:user
4. Copy the token and paste it in the githubAccessToken field

X/Twitter Bearer Token (Optional)

1. Go to Twitter Developer Portal
2. Create a project and app
3. Generate a Bearer Token
4. Paste it in the twitterBearerToken field

LinkedIn Session Cookie

1. Log into LinkedIn in your web browser
2. Open Developer Tools (F12 or right-click → Inspect)
3. Go to Application → Cookies → www.linkedin.com
4. Find the li_at cookie and copy its value
5. Paste it in the linkedinSessionCookie field

YouTube Data API Key

1. Go to Google Cloud Console
2. Create a new project (or select existing)
3. Enable YouTube Data API v3
4. Go to Credentials → Create Credentials → API Key
5. Copy the key and paste it in the youtubeApiKey field

Instagram Session ID (Optional)

1. Log into Instagram in your web browser
2. Open Developer Tools (F12)
3. Go to Application → Cookies → www.instagram.com
4. Find the sessionid cookie and copy its value
5. Paste it in the instagramSessionId field

Facebook Access Token (Optional)

1. Go to Facebook Developers
2. Create an app and get a Page Access Token
3. Paste it in the facebookAccessToken field

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Output Data Structure

Dataset Items

Each engager is saved as a separate item in the Apify dataset with the following fields:

Field	Description
displayName	Best available name for the engager
platforms	Array of platforms they engaged on
totalEngagements	Total number of interactions
engagementScore	Weighted score based on engagement types
engagementTypes	Types of engagements performed
lastEngagement	Most recent engagement timestamp
firstEngagement	Earliest engagement timestamp
matchConfidence	Confidence score for cross-platform matching
contactInfo	Available contact information
platformBreakdown	Engagement details per platform
accounts	Full profile data from each platform
engagements	Complete engagement history

Key-Value Store

Additional outputs saved to the key-value store:

Key	Description
summary	Aggregated statistics and top engagers
metadata	Execution details, timing, and errors
output	Complete structured output
sentiment_summary	Sentiment analysis overview
trend_analysis	Engagement trends and patterns
engagement_stats	Detailed engagement statistics
export_engagers_json	JSON export of engagers
export_engagers_csv	CSV export of engagers
export_crm_json	CRM-ready JSON export
export_crm_csv	CRM-ready CSV export
export_trends_json	Trend analysis export
report_markdown	Human-readable markdown report

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Best Practices

For Accurate Results

• Use authentication when available for better data access
• Start with a shorter time range (7 days) to test, then expand
• Configure specific repositories on GitHub to focus on relevant engagements

For Identity Matching

• Set threshold to 0.75 (default) for balanced accuracy
• Lower threshold (0.6) if you want more potential matches
• Higher threshold (0.9) if you want only high-confidence matches

For Performance

• Limit platforms to those you actively use
• Use proxies for Instagram and LinkedIn to avoid rate limits
• Run during off-peak hours for faster execution

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Limitations & Considerations

• Public Data Only — Extracts only publicly available data (except LinkedIn with authentication)
• Rate Limits — Respects platform rate limits; large accounts may take longer
• Historical Data — Some platforms limit how far back data is available
• Identity Matching — Not 100% accurate; review matches with confidence scores below 0.8

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Privacy & Compliance

• Only extracts publicly available data or data you're authorized to access
• Does not store data beyond your Apify account
• Respects platform terms of service and robots.txt
• Recommended for legitimate business and personal use only
• GDPR-compliant data handling

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Frequently Asked Questions

Can this tool see who viewed my profile?

Only LinkedIn provides profile view data (requires Premium for full details). Other platforms like GitHub, X, and Instagram do not expose this information.

How accurate is cross-platform identity matching?

Matching accuracy depends on how consistent users are with their usernames and display names. Matches with confidence scores above 0.85 are highly reliable. Always review lower-confidence matches manually.

Does this work with private accounts?

No. This tool only accesses publicly available data. For private GitHub repositories, you'll need to provide a personal access token with appropriate permissions.

How often should I run this Actor?

For most use cases, running weekly captures meaningful engagement patterns. For high-volume accounts, daily runs may be appropriate.

What's new in this version?

• 10 platforms supported — Added Instagram, TikTok, Medium, Threads, and Facebook
• Sentiment analysis — Understand the quality of engagement
• Trend analysis — Track patterns and velocity over time
• Multiple export formats — JSON, CSV, CRM-ready, and markdown reports
• Improved error handling — Better error messages for missing configurations

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Support & Feedback

Have questions or feature requests? We'd love to hear from you:

• Leave a review or comment on the Apify Store
• Contact us through Apify Console

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Related Tools & Use Cases

• Social Media Analytics — Track engagement across platforms
• Lead Generation — Identify warm prospects from engagement data
• Influencer Marketing — Find your most engaged brand advocates
• Competitor Analysis — Monitor who engages with competitors
• Community Building — Identify and nurture superfans

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License

MIT License — Free for personal and commercial use.

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Keywords: social media engagement tracker, cross-platform analytics, who viewed my profile, GitHub stars tracker, X Twitter engagement, LinkedIn profile views, social media monitoring, audience insights, lead generation tool, influencer analytics, engagement scoring, identity matching, sentiment analysis, trend analysis, CRM export, Apify Actor, web scraping, social media API