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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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- bitcoin |
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- GPT-5 |
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- Grok |
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- Cursor |
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- AI |
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- AI prompts |
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- Chainlink |
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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) |
