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---
license: mit
task_categories:
- text-classification
- table-question-answering
- zero-shot-classification
- feature-extraction
language:
- en
tags:
- weather
- Masa
- X
- Twitter
- Scraper
- real-time
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 structure tweet data instantly into clean JSON.
πŸ‘‰ [Launch Scraper Tool](https://bit.ly/44FHKDw)
## πŸš€ Key Features
- ⚑ **Real-Time Fetch** β€” Stream the latest tweets the moment they’re posted
- 🎯 **Flexible Search** β€” Filter by keywords, hashtags, cashtags, accounts, or trending topics
- πŸ“ˆ **Engagement Metrics** β€” Pull tweet content with likes, replies, reposts & timestamps
- 🧩 **LLM-Ready Output** β€” Output in clean JSON for agents, RAG, fine-tuning, or analytics
- πŸ’Έ **Free Tier** β€” 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 β€” keyword, `#hashtag`, `@user`, or `$cashtag`
3. Choose tweet count β€” up to 25 tweets per search
4. Run the search β€” engine fetches fresh tweets in real time
5. Export the results β€” 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`
- `tweet_id`
- `content`
- `likes`
- `reposts`
- `replies`
- `timestamp`
- `query_used`
## πŸ“Ž License
MIT License β€” Free to use for research, development, and commercial projects during beta.
## ✨ Try It Now
**Start Searching & Scraping X-Twitter:**
πŸ‘‰ [Launch Scraper Tool](https://bit.ly/44FHKDw)