Threads User Following Scraper avatar
Threads User Following Scraper

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from $5.00 / 1,000 results

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Threads User Following Scraper

Threads User Following Scraper

See who any Threads user trusts enough to follow – and turn that network into your next growth channel. This actor scrapes the full following list with clean, analytics‑ready data for growth marketers, influencer agencies and researchers who care about real audiences, not vanity metrics.

Pricing

from $5.00 / 1,000 results

Rating

0.0

(0)

Developer

Sachin Kumar Yadav

Sachin Kumar Yadav

Maintained by Community

Actor stats

0

Bookmarked

3

Total users

1

Monthly active users

8 days ago

Last modified

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Extract comprehensive data about users that a Threads user follows. Get following profiles, verification status, engagement metrics, and network insights with our powerful Apify Actor.

Threads Following Apify Actor


📋 Table of Contents


✨ Features

FeatureDescription
Complete Following ListsExtract all users that a Threads user follows
👤 Detailed ProfilesUsername, full name, profile picture, verification status
📊 Engagement MetricsFollower counts, activity status, privacy settings
Multiple ViewsFollowing list, profiles, verified users, analytics, summary
Fast ProcessingCursor-based pagination for efficient data retrieval
🔄 Automatic PaginationFetches all pages automatically up to your limit
📱 Clean OutputOrganized table views, JSON/CSV/Excel export
�️ ReliableBuilt-in error handling and automatic retries

🚀 Quick Start

Step 1: Set Parameters

{
"username": "lyracr0w0",
"max_following": 100
}

Step 2: Run Actor

Click "Start" and monitor progress in real-time

Step 3: Download Data

Export results in JSON, CSV, or Excel format with organized views


🔧 Input Parameters

ParameterTypeRequiredDefaultRangeDescription
usernameString✅ Yes--Threads username (without @) to extract following from
max_followingInteger❌ No501-1000Maximum users to extract from following list

📝 Examples

Basic:

{
"username": "lyracr0w0"
}

Large Dataset:

{
"username": "kyliejenner",
"max_following": 500
}

Maximum:

{
"username": "marietemara",
"max_following": 1000
}

📊 Output Data

👤 Following User Record

{
"id": "63041037215",
"pk": "63041037215",
"username": "nataniacreates",
"full_name": "Natania Mason",
"profile_pic_url": "https://...",
"is_verified": true,
"follower_count": 10795,
"text_post_app_is_private": false,
"has_onboarded_to_text_post_app": true,
"friendship_status": {
"following": false,
"followed_by": false,
"outgoing_request": false
},
"following_index": 1
}

📈 Summary Record

{
"summary": true,
"success": true,
"target_username": "lyracr0w0",
"total_following": 90,
"following_fetched": 90,
"verified_count": 36,
"private_count": 1,
"active_count": 90,
"pages_fetched": 5,
"fetched_at": "2025-11-19T20:13:00.000Z"
}

📱 Dataset Views

ViewPurposeContains
🔗 Following ListComplete dataAll following users with full details
👤 ProfilesUser focusUsername, name, verification, followers
Verified FollowingInfluencersOnly verified users from following list
📊 AnalyticsInsightsEngagement metrics and statistics
📋 SummaryMetadataExtraction stats and page count

💡 Use Cases

Use CaseConfigurationResult
Influencer Network Analysis100-500 usersUnderstand who influencers follow
Audience Research50-200 usersIdentify target audience networks
Competitor Analysis200-1000 usersCompare following patterns
Brand Partnerships100-300 usersFind potential collaboration partners
Market Research50-500 usersAnalyze industry network trends

🎯 Real Examples

1. Social Media Manager:

{
"username": "nike",
"max_following": 200
}

→ Analyze brand's following strategy and network

2. Influencer Marketer:

{
"username": "mrbeast",
"max_following": 500
}

→ Study creator's network and collaboration patterns

3. Market Researcher:

{
"username": "competitor_brand",
"max_following": 300
}

→ Identify market opportunities and partnerships


🎯 Best Practices

✅ Do's

  • ✅ Start with 50-100 users for testing
  • ✅ Use appropriate limits for your analysis
  • ✅ Export data in suitable format (JSON/CSV/Excel)
  • ✅ Schedule regular extractions for tracking trends
  • ✅ Monitor verification rates for quality insights

❌ Don'ts

  • ❌ Don't extract unnecessary large datasets
  • ❌ Don't run multiple simultaneous extractions
  • ❌ Don't ignore rate limits
  • ❌ Don't use private account data

💡 Tips

TipBenefit
Start smallTest before large extractions
Use paginationEfficient data retrieval
Monitor progressTrack extraction status
Export regularlyBackup your data
Schedule runsAutomate regular analysis

⚡ Performance

📊 Metrics

MetricValue
Processing Speed~25 users/minute
Per User Time2-3 seconds
Success Rate99.5%+
PaginationAutomatic cursor-based

� Limits

LimitValueRecommendation
Max Following1000/runUse multiple runs for larger
Optimal Range50-500/runBest performance
Rate Limit1000 req/hourBuilt-in throttling
Timeout30 sec/requestAuto-retry

❓ FAQ

� Access & Authentication

Q: Do I need a Threads account? A: No. This actor extracts public data without requiring login.

Q: Can I extract private accounts? A: No. Only public accounts and their public following lists are accessible.

Q: What if the account is deleted? A: The actor will return an error. Verify the username exists before running.

📊 Data & Extraction

Q: How much data can I extract? A: Up to 1000 users per run. Run multiple times for larger datasets.

Q: What information is included? A: Username, full name, profile picture, verification status, follower count, privacy settings, activity status.

Q: How is data organized? A: Each user is a separate record. Summary includes statistics and page count.

Q: Can I schedule extractions? A: Yes. Use Apify's scheduling feature for automatic runs.

🛠️ Technical

Q: How long does extraction take? A: 2-3 seconds per user. 100 users ≈ 3-5 minutes.

Q: What formats are available? A: JSON (detailed), CSV (spreadsheet), Excel (analysis).

Q: What if extraction fails? A: Actor automatically retries. Check error message for details.

Q: Can I export partial results? A: Yes. Download data anytime during or after extraction.

🔄 Pagination

Q: What is cursor-based pagination? A: Automatic page fetching using cursor tokens for complete data extraction.

Q: How many pages will be fetched? A: Depends on following count and max_following limit. Tracked in summary.

Q: Can I control pagination? A: No. Pagination is automatic. Control total users with max_following.


🛠️ Troubleshooting

❌ Common Issues

IssueCauseSolution
No data returnedInvalid usernameVerify username is correct and public
Partial resultsRate limitingReduce max_following or wait and retry
Empty followingPrivate accountOnly public accounts accessible
Timeout errorNetwork issueActor retries automatically
Missing fieldsData unavailableSome users may not have all fields

� Error Messages

"Username is required"

  • Provide username parameter

"Could not extract valid username"

  • Check format: no @ symbol, valid characters only

"Rate limit exceeded"

  • Built-in throttling active. Extraction continues automatically.

"No data found"

  • Account may be private or deleted. Verify username.

SEO Keywords

🎯 Primary

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  • Meta Threads following data
  • Threads network analysis
  • Following list scraper

📊 Secondary

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  • Threads audience network
  • Meta Threads user following
  • Following data extraction
  • Social media network analysis
  • Threads user connections
  • Network intelligence tool
  • Audience network scraper

Long-tail

  • How to extract Threads following list
  • Get Threads user following data
  • Threads following list extractor tool
  • Automated Threads network scraping
  • Extract Meta Threads following profiles
  • Threads user network analysis tool

🚀 Get Started Now

Extract your first following list in minutes!

Perfect for: Social media managers, marketers, researchers, influencer analysts, data scientists

Use for: Network analysis, audience research, competitor tracking, partnership identification, trend analysis

Benefits: Complete data, organized output, network insights, reliable extraction


If you need more specialized Threads scrapers, check out these related actors from the same publisher:

Built for the Apify community. Extract smarter, analyze deeper, grow faster. ❤️