---
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](https://bit.ly/3HvbvhM)

---

## 🚀 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  
- 📈 **Engagement Metrics** – Pull tweet content with likes, replies, reposts & timestamps  
- 🧩 **LLM-Ready Output** – Output in clean JSON for agents, RAG, fine-tuning, or analytics  
- 💸 **Free Tier** – Up to 100 searches during beta; toggle up to 25 tweets per query  

---

## 🛠 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  

---

## 🔥 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!  

---

## 📂 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)