| | --- |
| | 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 |
| | --- |
| | # π¦ 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](https://bit.ly/3HvbvhM) |
| |
|
| | --- |
| |
|
| | ## π Key Features |
| | - β‘ **Real-Time Fetch** β Stream the latest tweets the moment theyβre posted |
| | - π― **Flexible Search** β Filter by keywords, hashtags, cashtags, accounts, or trending topics |
| | - π **Engagement Metrics** β Pull tweet content with likes, replies, reposts & timestamps |
| | - π§© **LLM-Ready Output** β Output in clean JSON for agents, RAG, fine-tuning, or analytics |
| | - πΈ **Free Tier** β Up to 100 searches during beta; toggle up to 25 tweets per query |
| |
|
| | --- |
| |
|
| | ## π 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 |
| |
|
| | --- |
| |
|
| | ## π₯ 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 |
| | - β¦and more! |
| |
|
| | --- |
| |
|
| | ## π Dataset Format |
| | Each tweet is structured in **LLM-friendly JSON** with fields like: |
| | ```json |
| | { |
| | "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) |