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Gopher-Lab/X_Twitter_Trending_Topics_August2025

🐦 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 πŸš€ Key Features ⚑ Real-Time Fetch – Stream the latest tweets the moment they’re posted πŸŽ―β€¦ See the full description on the dataset page: https://huggingface.co/datasets/Gopher-Lab/X_Twitter_Trending_Topics_August2025.

sourceHugging Facemitupdated 1y agoView on Hugging Face
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Dataset Card

🐦 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


πŸš€ Key Features

  • β€”βš‘ Real-Time Fetch – Stream the latest tweets the moment they’re posted
  • β€”πŸŽ― Flexible Search – Filter by keywords, hashtags, cashtags, accounts, or trending topics
  • β€”πŸ“ˆ Engagement Metrics – Pull tweet content with likes, replies, reposts & timestamps
  • β€”πŸ§© LLM-Ready Output – Output in clean JSON for agents, RAG, fine-tuning, or analytics
  • β€”πŸ’Έ Free Tier – Up to 100 searches during beta; toggle up to 25 tweets per query

πŸ›  How It Works

  1. 1.Open the Scraper Tool
  2. 2.Enter your query – keyword, #hashtag, @user, or $cashtag
  3. 3.Choose tweet count – up to 25 tweets per search
  4. 4.Run the search – engine fetches fresh tweets in real time
  5. 5.Export the results – copy or download JSON for use in any pipeline

πŸ”₯ Popular Use Cases

  • β€”Sentiment and price prediction for crypto or stocks
  • β€”Trend discovery & viral content tracking
  • β€”News & political monitoring in real time
  • β€”Creating LLM training datasets
  • β€”Feeding live data to AI agents
  • —…and more!

πŸ“‚ 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)