Threads User Following Scraper
Pricing
from $5.00 / 1,000 results
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
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.
📋 Table of Contents
- ✨ Features
- 🚀 Quick Start
- 🔧 Input Parameters
- 📊 Output Data
- 💡 Use Cases
- 🎯 Best Practices
- ⚡ Performance
- ❓ FAQ
- 🛠️ Troubleshooting
✨ Features
| Feature | Description |
|---|---|
| � Complete Following Lists | Extract all users that a Threads user follows |
| 👤 Detailed Profiles | Username, full name, profile picture, verification status |
| 📊 Engagement Metrics | Follower counts, activity status, privacy settings |
| � Multiple Views | Following list, profiles, verified users, analytics, summary |
| ⚡ Fast Processing | Cursor-based pagination for efficient data retrieval |
| 🔄 Automatic Pagination | Fetches all pages automatically up to your limit |
| 📱 Clean Output | Organized table views, JSON/CSV/Excel export |
| �️ Reliable | Built-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
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
username | String | ✅ Yes | - | - | Threads username (without @) to extract following from |
max_following | Integer | ❌ No | 50 | 1-1000 | Maximum 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
| View | Purpose | Contains |
|---|---|---|
| 🔗 Following List | Complete data | All following users with full details |
| 👤 Profiles | User focus | Username, name, verification, followers |
| ✅ Verified Following | Influencers | Only verified users from following list |
| 📊 Analytics | Insights | Engagement metrics and statistics |
| 📋 Summary | Metadata | Extraction stats and page count |
💡 Use Cases
| Use Case | Configuration | Result |
|---|---|---|
| Influencer Network Analysis | 100-500 users | Understand who influencers follow |
| Audience Research | 50-200 users | Identify target audience networks |
| Competitor Analysis | 200-1000 users | Compare following patterns |
| Brand Partnerships | 100-300 users | Find potential collaboration partners |
| Market Research | 50-500 users | Analyze 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
| Tip | Benefit |
|---|---|
| Start small | Test before large extractions |
| Use pagination | Efficient data retrieval |
| Monitor progress | Track extraction status |
| Export regularly | Backup your data |
| Schedule runs | Automate regular analysis |
⚡ Performance
📊 Metrics
| Metric | Value |
|---|---|
| Processing Speed | ~25 users/minute |
| Per User Time | 2-3 seconds |
| Success Rate | 99.5%+ |
| Pagination | Automatic cursor-based |
� Limits
| Limit | Value | Recommendation |
|---|---|---|
| Max Following | 1000/run | Use multiple runs for larger |
| Optimal Range | 50-500/run | Best performance |
| Rate Limit | 1000 req/hour | Built-in throttling |
| Timeout | 30 sec/request | Auto-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
| Issue | Cause | Solution |
|---|---|---|
| No data returned | Invalid username | Verify username is correct and public |
| Partial results | Rate limiting | Reduce max_following or wait and retry |
| Empty following | Private account | Only public accounts accessible |
| Timeout error | Network issue | Actor retries automatically |
| Missing fields | Data unavailable | Some 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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📊 Secondary
- Extract Threads following
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- Social media network analysis
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- Network intelligence tool
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Long-tail
- How to extract Threads following list
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- Automated Threads network scraping
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- 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
🔗 Related Threads Actors
If you need more specialized Threads scrapers, check out these related actors from the same publisher:
- Threads Scraper Lite
- Threads Search Scraper
- Meta Threads Profile Scraper
- Meta Threads Pro Scraper
- Meta Threads Followers Scraper
- Meta Threads Replies Scraper
- Meta Threads User Media Scraper
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