Twitter X Timeline Scraper - Extract User Tweets Easily 🐦

Simple, fast, and reliable Twitter/X timeline scraper on Apify. Get the latest tweets from any Twitter user's timeline with automatic pagination, engagement metrics, and clean structured output. Perfect for content analysis, brand monitoring, sentiment tracking, and social media research.

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📋 Table of Contents

• Why Choose This Scraper?
• Key Features
• Quick Start Guide
• Input Configuration
• Output & Data Structure
• Use Cases
• Best Practices
• FAQ
• SEO Keywords
• Related Actors

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🌟 Why Choose This Scraper?

Feature	Benefit
✅ Simple Setup	Just enter username and go - no complex configuration needed
✅ Automatic Pagination	Fetches multiple pages automatically - no manual cursor management
✅ Clean Data Views	Organized tables for tweets and engagement metrics
✅ Rate Limit Protection	Built-in throttling prevents API blocks
✅ Export Ready	Download as JSON, CSV, Excel, or access via API
✅ Bulk Processing	Extract up to 1000 tweets per run
✅ Real-time Data	Get the latest tweets directly from Twitter/X
✅ No Code Required	Simple interface - just enter username and max items

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🎯 Key Features

Core Capabilities

Feature	Description
📱 Timeline Extraction	Get all tweets from any user's timeline
📊 Engagement Metrics	Likes, retweets, replies, quotes, and views
🔄 Automatic Pagination	Seamlessly fetches multiple pages of tweets
📦 Structured Output	Clean, normalized data ready for analysis
🎨 Dataset Views	Pre-configured tables for easy data browsing
💾 Multiple Export Formats	JSON, CSV, Excel, RSS, or API access
🛡️ Error Handling	Automatic retries and error recovery
⚡ Fast Performance	Optimized for speed and reliability

What You Get

• ✅ Tweet Content - Full text of each tweet
• ✅ Tweet IDs - Unique identifiers for each tweet
• ✅ Author Information - Username and display name
• ✅ Timestamps - When each tweet was posted
• ✅ Engagement Metrics - Likes, retweets, replies, quotes, views
• ✅ Tweet URLs - Direct links to each tweet
• ✅ Original Data - Complete raw data preserved

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🚀 Quick Start Guide

Step 1: Open the Actor

1. Go to Twitter X Timeline Scraper on Apify
2. Click "Try for Free" or "Run"

Step 2: Enter Username

• Enter the Twitter username (without @ symbol)
  • Example: elonmusk or KylieJenner

Step 3: Set Maximum Tweets

• Choose how many tweets to extract (1-1000)
  • Default: 20 tweets
  • Recommended for testing: 10-50 tweets
  • For full analysis: 100-1000 tweets

Step 4: Run & Export

1. Click "Start"
2. Monitor progress in real-time
3. View results in organized dataset tables
4. Export as JSON, CSV, or Excel

That's it! Your tweets will be ready in minutes. 🎉

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⚙️ Input Configuration

Required Input

Field	Type	Description	Example
screenname	string	Twitter username without @ symbol	elonmusk

Optional Input

Field	Type	Default	Description	Range
maxItems	integer	20	Maximum number of tweets to extract	1-1000

Example Configurations

Basic Usage (20 tweets):

{
  "screenname": "elonmusk"
}

Extract 50 Tweets:

{
  "screenname": "KylieJenner",
  "maxItems": 50
}

Extract 100 Tweets:

{
  "screenname": "elonmusk",
  "maxItems": 100
}

Maximum Extraction (1000 tweets):

{
  "screenname": "KylieJenner",
  "maxItems": 1000
}

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📊 Output & Data Structure

Dataset Views

The scraper provides 2 organized dataset views for easy data analysis:

View Name	Focus	Key Fields
All Tweets	Complete tweet overview	Tweet ID, Content, Author, Engagement Metrics, URLs
Engagement Metrics	Performance analytics	Likes, Retweets, Replies, Quotes, Views

Output Fields

Field	Type	Description	Example
success	boolean	Whether the scrape was successful	true
screenname	string	Target username	"elonmusk"
tweet_id	string	Unique tweet identifier	"1234567890"
text	string	Full tweet content	"Exciting announcement!"
author_username	string	Tweet author's username	"elonmusk"
author_name	string	Tweet author's display name	"Elon Musk"
created_at	string	Tweet timestamp	"2024-01-15T10:30:00.000Z"
like_count	number	Number of likes	50000
retweet_count	number	Number of retweets	10000
reply_count	number	Number of replies	2000
quote_count	number	Number of quote tweets	500
view_count	number	Number of views	1000000
tweet_url	string	Direct link to tweet	"https://twitter.com/..."
_original	object	Complete raw data	Full API response

Sample Output

Single Tweet Output:

{
  "success": true,
  "screenname": "elonmusk",
  "tweet_id": "1234567890",
  "text": "Exciting announcement coming soon!",
  "author_username": "elonmusk",
  "author_name": "Elon Musk",
  "created_at": "2024-01-15T10:30:00.000Z",
  "like_count": 50000,
  "retweet_count": 10000,
  "reply_count": 2000,
  "quote_count": 500,
  "view_count": 1000000,
  "tweet_url": "https://twitter.com/elonmusk/status/1234567890",
  "_original": {
    "tweet_id": "1234567890",
    "text": "Exciting announcement coming soon!",
    "favorites": 50000,
    "retweets": 10000,
    "replies": 2000,
    "quotes": 500,
    "views": "1000000"
  }
}

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💡 Use Cases

🎯 Marketing & Brand Intelligence

Use Case	How It Helps
Competitor Analysis	Track competitor tweets, engagement rates, and content strategy
Influencer Research	Analyze influencer content performance and engagement patterns
Brand Monitoring	Monitor brand mentions and track sentiment over time
Campaign Analytics	Measure campaign performance and audience engagement

📈 Research & Analytics

Use Case	How It Helps
Sentiment Analysis	Analyze public opinion on topics, products, or brands
Trend Tracking	Identify emerging trends and viral content patterns
Content Research	Study what content performs best in your niche
Academic Research	Collect data for social media studies and research papers

🤝 Business Intelligence

Use Case	How It Helps
Market Research	Understand customer needs, preferences, and pain points
Lead Generation	Identify potential customers through tweet analysis
Content Strategy	Learn from successful accounts' content and timing
Customer Insights	Understand your audience's interests and behaviors

📰 Media & Journalism

Use Case	How It Helps
News Gathering	Track breaking news and trending topics
Source Finding	Identify expert sources and witnesses
Story Research	Gather background information for articles
Fact Checking	Verify information and track misinformation

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🎓 Best Practices

✅ Do's

Best Practice	Why It Matters
Start Small	Test with 10-20 tweets first to verify results
Use Specific Usernames	Provide exact Twitter handles without @ symbol
Export Regularly	Download data to avoid storage limits
Monitor Progress	Check logs during execution for any issues
Respect Rate Limits	Don't exceed reasonable request rates
Schedule Regular Runs	Use Apify scheduling for consistent data collection

❌ Don'ts

Avoid	Reason
Don't Scrape Private Accounts	Only public Twitter/X data is accessible
Don't Exceed Limits	Stay within 1-1000 tweets per run
Don't Ignore Errors	Check logs if scraper fails to understand issues
Don't Hardcode Values	Use dynamic inputs for flexibility

🔧 Optimization Tips

1. Test First - Start with 10-20 tweets to verify everything works
2. Batch Processing - Run multiple times for different users
3. Export Smart - Choose CSV for spreadsheets, JSON for APIs
4. Schedule Runs - Use Apify scheduling for regular data collection
5. Monitor Usage - Track your Apify usage to stay within limits

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❓ FAQ

General Questions

Q: Do I need a Twitter account or API key?
A: No! The scraper handles everything automatically. Just enter a username and run.

Q: Can I scrape private accounts?
A: No, only public Twitter/X data is accessible. Private accounts cannot be scraped.

Q: How many tweets can I extract?
A: Up to 1000 tweets per run. You can run multiple times for more data.

Q: What formats can I export data in?
A: JSON, CSV, Excel, RSS, or access via Apify API.

Q: Is the data real-time?
A: Yes, data is fetched directly from Twitter/X at runtime.

Technical Questions

Q: How does automatic pagination work?
A: The scraper automatically handles pagination internally. Just specify maxItems and it fetches all pages needed.

Q: What if I hit rate limits?
A: The scraper has built-in rate limiting and automatic retries. It handles rate limits gracefully.

Q: Can I schedule regular scraping?
A: Yes! Use Apify's scheduling feature to run the scraper daily, weekly, or at custom intervals.

Q: How long does scraping take?
A: Depends on maxItems. Typically:

• 20 tweets: ~30 seconds
• 100 tweets: ~2-3 minutes
• 1000 tweets: ~10-15 minutes

Q: What happens if a user has fewer tweets than maxItems?
A: The scraper will fetch all available tweets and stop automatically.

Data Questions

Q: What engagement metrics are included?
A: Likes, retweets, replies, quotes, and views (when available).

Q: Are deleted tweets included?
A: No, only currently available public tweets are accessible.

Q: Can I get tweet media files?
A: The scraper provides tweet data and metadata. Media URLs are included in the original data object.

Q: Does it include retweets?
A: Yes, retweets from the user's timeline are included in the results.

Q: Can I filter by date?
A: The scraper fetches the most recent tweets. Use the created_at field to filter by date after extraction.

Account Questions

Q: Can I scrape my own tweets?
A: Yes! Just enter your own username.

Q: What if a username doesn't exist?
A: The scraper will return an error. Make sure the username is correct and the account is public.

Q: Can I scrape verified accounts?
A: Yes, verified accounts can be scraped just like any other public account.

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🔍 SEO Keywords

Primary Keywords: Twitter Timeline Scraper | X Timeline Scraper | Twitter Tweet Scraper | X Tweet Extractor | Twitter Data Extractor | X Data Scraper

Secondary Keywords: Twitter API Alternative | Tweet Scraper | Twitter Timeline Extractor | X.com Scraper | Twitter Automation | Twitter Web Scraping | Apify Twitter Actor | Twitter Data Collection | Twitter Intelligence | Twitter OSINT | Twitter Research Tool | Twitter Monitoring | X Analytics | X Social Listening | Twitter Engagement Tracker | Twitter Content Analysis | Twitter Brand Monitoring | Twitter Sentiment Analysis | Twitter Market Research | Twitter Trend Analysis | Twitter Export Tool | Twitter Dataset | Twitter CSV Export | Twitter JSON API | Twitter Bulk Scraper | Social Media Scraper | Twitter Data Mining | Tweet Extractor | Influencer Research Tool | Brand Monitoring Twitter | Twitter Competitor Analysis | Twitter Lead Generation | Twitter Hashtag Tracker | Twitter User Data | X Profile Scraper | X Tweet Scraper | Twitter Analytics Tool

Long-tail Keywords: How to scrape Twitter timeline | Extract tweets from Twitter user | Get all tweets from Twitter account | Twitter timeline data extraction | Scrape X timeline | Extract X user tweets | Twitter timeline API | X timeline data | Twitter tweet collection | X tweet extraction | Twitter content analysis tool | X social media scraper | Twitter data mining tool | Extract Twitter engagement metrics | Twitter timeline export | X timeline analysis

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🔗 Related Actors

Actor	Description
Twitter X Video Downloader	Download Twitter videos and GIFs
X (Twitter) Profile Viewer	View detailed Twitter profiles
X Follower Scraper	Scrape X User Followers
X Following Scraper	Scrape X User Following
X Media Scraper	Scrape X User Media
Twitter Advanced Scraper	Extract X Advanced data

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📞 Support & Contact

Need help or have feature requests?

• 📧 Email Support - Contact through Apify platform
• 💬 Discord Community - Join Apify Discord for help
• 🐛 Report Issues - Use Apify support system
• ⭐ Feature Requests - Suggest new features via support

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📄 License & Terms

This actor respects Twitter/X Terms of Service. Use responsibly:

• ✅ Only scrape public data
• ✅ Respect rate limits
• ✅ Don't spam or abuse the platform
• ✅ Follow data privacy regulations (GDPR, CCPA)
• ✅ Use data ethically and legally

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🚀 Get Started Now!

Ready to extract Twitter/X timeline data?

▶️ Run Twitter X Timeline Scraper Now

No credit card required for free tier. Start scraping in 60 seconds!

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Made with ❤️ for data enthusiasts, marketers, researchers, and developers worldwide.

Last Updated: November 2025 | Version 2.0