Datasets:
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Download README.md from Gopher-Lab/X_Twitter_Trending_Topics_August2025: direct link, hf CLI and curl.
- Browser
- Download file 2.15 kB
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https://huggingface.co/datasets/Gopher-Lab/X_Twitter_Trending_Topics_August2025/resolve/main/README.md
- Command line
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hf download hf://datasets/Gopher-Lab/X_Twitter_Trending_Topics_August2025/README.md
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curl -L -o README.md https://huggingface.co/datasets/Gopher-Lab/X_Twitter_Trending_Topics_August2025/resolve/main/README.md
2.15 kB
| license: mit | |
| task_categories: | |
| - feature-extraction | |
| - text-generation | |
| - summarization | |
| language: | |
| - en | |
| tags: | |
| - Masa | |
| - X | |
| - 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) |