Datasets:
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README.md
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---
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license: mit
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---
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license: mit
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task_categories:
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- feature-extraction
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- text-generation
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- summarization
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language:
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- en
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tags:
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- Masa
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- X
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- Twitter
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- Agents
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- Realtime
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- trending
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pretty_name: X twitter trending posts
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size_categories:
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- 1K<n<10K
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---
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# 🐦 X-Twitter Scraper: Real-Time Search and Data Extraction Tool
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Search and scrape X-Twitter (formerly Twitter) for posts by keyword, account, or trending topics.
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This **no-code tool** makes it easy to generate real-time, LLM-ready datasets for any AI or content use case.
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Get started with real-time scraping and instantly structure tweet data into clean JSON.
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[Start Scraping](https://bit.ly/3HvbvhM)
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---
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## 🚀 Key Features
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- ⚡ **Real-Time Fetch** – Stream the latest tweets the moment they’re posted
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- 🎯 **Flexible Search** – Filter by keywords, hashtags, cashtags, accounts, or trending topics
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- 📈 **Engagement Metrics** – Pull tweet content with likes, replies, reposts & timestamps
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- 🧩 **LLM-Ready Output** – Output in clean JSON for agents, RAG, fine-tuning, or analytics
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- 💸 **Free Tier** – Up to 100 searches during beta; toggle up to 25 tweets per query
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---
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## 🛠 How It Works
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1. **Open** the Scraper Tool
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2. **Enter your query** – keyword, `#hashtag`, `@user`, or `$cashtag`
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3. **Choose tweet count** – up to 25 tweets per search
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4. **Run the search** – engine fetches fresh tweets in real time
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5. **Export the results** – copy or download JSON for use in any pipeline
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---
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## 🔥 Popular Use Cases
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- Sentiment and price prediction for crypto or stocks
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- Trend discovery & viral content tracking
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- News & political monitoring in real time
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- Creating LLM training datasets
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- Feeding live data to AI agents
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- …and more!
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---
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## 📂 Dataset Format
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Each tweet is structured in **LLM-friendly JSON** with fields like:
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```json
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{
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"username": "string",
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"tweet_id": "string",
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"content": "string",
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"likes": number,
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"reposts": number,
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"replies": number,
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"timestamp": "ISO_8601_string",
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"query_used": "string"
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}
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[Start Scraping](https://bit.ly/3HvbvhM)
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