Gopher-Lab/X_Twitter_Trending_Topics_August2025
收藏Hugging Face2025-08-15 更新2026-01-03 收录
下载链接：
https://hf-mirror.com/datasets/Gopher-Lab/X_Twitter_Trending_Topics_August2025
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资源简介：
---
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)
提供机构：
Gopher-Lab
