ZacMasa5000's picture
Update README.md
4db9e8f verified
metadata
license: mit
task_categories:
  - feature-extraction
  - text-generation
  - summarization
language:
  - en
tags:
  - Masa
  - X
  - Twitter
  - Agents
  - Realtime
  - trending
  - bitcoin
  - GPT-5
  - Grok
  - Cursor
  - AI
  - AI prompts
  - Chainlink
pretty_name: X twitter trending posts
size_categories:
  - 1K<n<10K

🐦 X-Twitter Scraper: Real-Time Search and Data Extraction Tool

Search and scrape X-Twitter (formerly Twitter) for posts by keyword, account, or trending topics.
This no-code tool makes it easy to generate real-time, LLM-ready datasets for any AI or content use case.

Get started with real-time scraping and instantly structure tweet data into clean JSON.

Start Scraping


πŸš€ Key Features

  • ⚑ Real-Time Fetch – Stream the latest tweets the moment they’re posted
  • 🎯 Flexible Search – Filter by keywords, hashtags, cashtags, accounts, or trending topics
  • πŸ“ˆ Engagement Metrics – Pull tweet content with likes, replies, reposts & timestamps
  • 🧩 LLM-Ready Output – Output in clean JSON for agents, RAG, fine-tuning, or analytics
  • πŸ’Έ Free Tier – Up to 100 searches during beta; toggle up to 25 tweets per query

πŸ›  How It Works

  1. Open the Scraper Tool
  2. Enter your query – keyword, #hashtag, @user, or $cashtag
  3. Choose tweet count – up to 25 tweets per search
  4. Run the search – engine fetches fresh tweets in real time
  5. Export the results – copy or download JSON for use in any pipeline

πŸ”₯ Popular Use Cases

  • Sentiment and price prediction for crypto or stocks
  • Trend discovery & viral content tracking
  • News & political monitoring in real time
  • Creating LLM training datasets
  • Feeding live data to AI agents
  • …and more!

πŸ“‚ Dataset Format

Each tweet is structured in LLM-friendly JSON with fields like:

{
  "username": "string",
  "tweet_id": "string",
  "content": "string",
  "likes": number,
  "reposts": number,
  "replies": number,
  "timestamp": "ISO_8601_string",
  "query_used": "string"
}

[Start Scraping](https://bit.ly/3HvbvhM)