Tweets-x-Scraper avatar

Tweets-x-Scraper

Pricing

from $15.00 / 1,000 results

Go to Apify Store
Tweets-x-Scraper

Tweets-x-Scraper

Extract anything from X (Twitter) with speed and precision. This smart scraper auto-detects what to collect—tweets, profiles, users, lists, or media—and delivers clean, structured data instantly. Just enter usernames, URLs, or keywords and let automation do the rest.

Pricing

from $15.00 / 1,000 results

Rating

5.0

(2)

Developer

mikolabs

mikolabs

Maintained by Community

Actor stats

3

Bookmarked

139

Total users

25

Monthly active users

3 days ago

Last modified

Share

🚀 Complete X (Twitter) Scraper

⚡ Fast • 💰 Cost-Effective • 🎯 Smart • 🔥 Production Ready

Extract tweets, users, profiles, lists, and media from X (Twitter) with high speed, low cost, and zero manual configuration.

Built for developers, startups, AI pipelines, and data-driven products.


🌟 Why This Scraper?

Most scrapers are:

  • ❌ Slow
  • ❌ Expensive
  • ❌ Hard to configure

This one is:

  • Blazing Fast – Optimized scraping engine with smart routing
  • 💰 Cost Efficient – Minimal requests + optimized pagination
  • 🧠 Smart Detection – No need to select modes manually
  • 🔄 Fully Automated – Handles retries, pagination & errors
  • 📦 Structured Output – Clean JSON ready for pipelines

🧠 What Makes It Unique?

🔥 Smart Auto-Detection Engine

Just provide input — the scraper decides everything:

InputAutomatically Does
UsernameScrapes profile + tweets
List URLScrapes list tweets
KeywordsSearches tweets or users

👉 No configuration needed. Just run.


🚀 Features

👤 Profile Scraping

  • Full profile data (bio, followers, location, etc.)
  • Tweets extraction
  • Replies support
  • Retweets support

📷 Media Scraping

  • Extract images & videos
  • Direct media URLs
  • HLS preview support for videos

  • Global tweet search
  • User discovery
  • Profile-based search

🎯 Advanced Filtering

  • 📅 Date range (from / until)
  • 📊 Engagement (likes, replies, retweets)
  • 🌍 Location-based filtering
  • ✔️ Verified users only
  • 📷 Media type filtering

⚙️ Built-in Reliability

  • 🔄 Auto retry with exponential backoff
  • 🛡️ Rate limit protection
  • 🌐 Proxy rotation support
  • 📄 Auto pagination

💡 Use Cases

This scraper is perfect for:

📊 Data Collection

  • Social media analytics
  • Trend tracking
  • Market research

🤖 AI / ML Pipelines

  • Training datasets
  • Sentiment analysis
  • NLP pipelines

🚀 Startups & SaaS

  • Lead generation
  • Influencer discovery
  • Competitor analysis

📈 Growth & Marketing

  • Hashtag tracking
  • Engagement analysis
  • Audience research

📋 Input Configuration

1️⃣ Scrape Profiles

{
"twitterHandles": ["elonmusk", "nasa"],
"maxItems": 100
}

2️⃣ Search Tweets

{
"searchTerms": ["AI", "#startup"],
"searchType": "tweets"
}

3️⃣ Search Users

{
"searchTerms": ["data scientist"],
"searchType": "users"
}

4️⃣ Scrape Lists

{
"listUrls": ["https://x.com/i/lists/123456"]
}

5️⃣ Media Only Mode

{
"twitterHandles": ["nasa"],
"mediaOnly": true
}

⚙️ Configuration Options

Profile Options

OptionDescription
includeRepliesInclude replies
includeRetweetsInclude retweets
mediaOnlyOnly media tweets

Filters

FilterExample
Date"startDate": "2024-01-01"
Likes"minLikes": 50
Language"tweetLanguage": "en"
Verified"onlyVerified": true

📊 Output Format

🧾 Tweet

{
"type": "tweet",
"tweet_id": "123456",
"text": "AI is the future",
"likes": 120,
"retweets": 30,
"comments": 10
}

👤 Profile

{
"type": "profile",
"username": "nasa",
"followers": "10M",
"bio": "Exploring space"
}

🔍 User

{
"type": "user",
"username": "@john_doe",
"verified": true
}

⚡ Performance & Cost Advantage

FeatureThis ScraperOthers
Speed⚡ FastSlow
Cost💰 LowExpensive
Setup🟢 Zero ConfigComplex
Reliability🛡️ HighMedium
Automation🤖 FullPartial

🧠 How It Works

Input → Smart Detection → Correct Scraper → Structured Output

Internal Flow

Usernames → Profile Scraper
Lists → List Extractor
Search → Tweet/User Search Engine

⚡ Best Practices

  • Start with small maxItems
  • Avoid aggressive scraping
  • Use filters to reduce cost
  • Monitor logs
  • Rotate instances if needed

🐛 Troubleshooting

❌ No Data

  • Check username spelling
  • Remove strict filters
  • Try different query

⚠️ Rate Limit

  • Reduce pages
  • Increase delay
  • Use proxies

📷 No Media Found

  • Disable mediaOnly
  • Check if profile has media

  • Follow platform policies
  • Respect privacy laws (GDPR, etc.)
  • Avoid scraping sensitive/private data
  • Use responsibly

🎯 Quick Start

1. Add input (username / search / list)
2. Set filters (optional)
3. Run scraper 🚀

🧩 Tech Stack

  • Python Scraper Engine
  • Apify SDK
  • Proxy Rotation System
  • Smart Routing Logic

💬 Support

  • Check logs
  • Review documentation
  • Raise issues

📄 License

MIT License – Free to use with responsibility.


🔥 Final Note

This is a complete, scalable, and cost-efficient X scraper built for:

  • Developers
  • Startups
  • AI Builders
  • Growth Hackers