Datasets:
metadata
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.
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
- Open the Scraper Tool
- Enter your query β keyword,
#hashtag
,@user
, or$cashtag
- Choose tweet count β up to 25 tweets per search
- Run the search β engine fetches fresh tweets in real time
- 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:
{
"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)