A lightweight, regex-based YouTube search library without API keys.
Project description
py-youtube-search
A lightweight Python library to search YouTube videos programmatically without an API key. It scrapes search results using regex, making it fast, robust, and perfect for both synchronous and asynchronous applications.
Features
- Async & Sync Support: Choose between fully asynchronous (
aiohttp) or synchronous (requests) implementations. - Reusable Client: Create a single instance and run multiple searches with different configurations.
- No API Key Required: Search YouTube directly without setting up Google Cloud projects.
- Advanced Filtering: Built-in support for duration (Medium 3-20m, Long >20m) and upload date filters.
- Rich Data Extraction: Extracts Video ID, Title, Duration, and View Count using optimized regex.
Installation
pip install py-youtube-search
Quick Start
1. Async Search (Recommended for Concurrent Operations)
Perfect for FastAPI, async applications, or when running multiple searches concurrently.
import asyncio
from py_youtube_search import YouTubeSearch
async def main():
# 1. Initialize the async client (reusable)
yt = YouTubeSearch()
# 2. Run a search
videos = await yt.search("Python async tutorials", limit=5)
for v in videos:
print(f"Title: {v['title']}")
print(f"Duration: {v['duration']}")
print(f"Views: {v['views']}")
print(f"Link: https://www.youtube.com/watch?v={v['id']}\n")
if __name__ == "__main__":
asyncio.run(main())
2. Sync Search (Simple Scripts & Notebooks)
Perfect for simple scripts, Jupyter notebooks, or synchronous applications.
from py_youtube_search import YouTubeSearchSync
def main():
# 1. Initialize the sync client (reusable)
yt = YouTubeSearchSync()
# 2. Run a search
videos = yt.search("Python async tutorials", limit=5)
for v in videos:
print(f"Title: {v['title']}")
print(f"Duration: {v['duration']}")
print(f"Views: {v['views']}")
print(f"Link: https://www.youtube.com/watch?v={v['id']}\n")
if __name__ == "__main__":
main()
3. Advanced Search with Filters (Async)
Search for specific content, like long-form videos (>20m) uploaded this week.
import asyncio
from py_youtube_search import YouTubeSearch, Filters
async def main():
yt = YouTubeSearch()
# Search 1: Long videos about LangGraph
print("Searching for LangGraph...")
videos = await yt.search("LangGraph", sp=Filters.long_this_week, limit=3)
for v in videos:
print(f"🎥 {v['title']} | ⏱ {v['duration']} | 👁 {v['views']}")
# Search 2: Reusing the same client for a different query
print("\nSearching for Python...")
videos_py = await yt.search("Python 3.12", sp=Filters.medium_today, limit=3)
for v in videos_py:
print(f"🐍 {v['title']}")
if __name__ == "__main__":
asyncio.run(main())
4. Advanced Search with Filters (Sync)
from py_youtube_search import YouTubeSearchSync, Filters
def main():
yt = YouTubeSearchSync()
# Search 1: Long videos about LangGraph
print("Searching for LangGraph...")
videos = yt.search("LangGraph", sp=Filters.long_this_week, limit=3)
for v in videos:
print(f"🎥 {v['title']} | ⏱ {v['duration']} | 👁 {v['views']}")
# Search 2: Reusing the same client for a different query
print("\nSearching for Python...")
videos_py = yt.search("Python 3.12", sp=Filters.medium_today, limit=3)
for v in videos_py:
print(f"🐍 {v['title']}")
if __name__ == "__main__":
main()
Available Filters
Pass these constants into the sp parameter of the search() method.
Duration: Medium (3 - 20 Minutes)
| Filter Attribute | Description |
|---|---|
Filters.medium_today |
Uploaded Today |
Filters.medium_this_week |
Uploaded This Week |
Filters.medium_this_month |
Uploaded This Month |
Filters.medium_this_year |
Uploaded This Year |
Duration: Long (Over 20 Minutes)
| Filter Attribute | Description |
|---|---|
Filters.long_today |
Uploaded Today |
Filters.long_this_week |
Uploaded This Week |
Filters.long_this_month |
Uploaded This Month |
Filters.long_this_year |
Uploaded This Year |
Data Structure
Both .search() methods return a list of dictionaries:
[
{
"id": "lDoYisPfcck",
"title": "Hack the planet! LangGraph AI HackBot Dev & Q/A",
"duration": "1:05:23",
"views": "1.2K views",
"url_suffix": "/watch?v=lDoYisPfcck"
}
]
API Reference
YouTubeSearch (Async)
async def search(query: str, sp: str = None, limit: int = 15) -> list
Parameters:
query(str): The search querysp(str, optional): Filter string fromFiltersclasslimit(int, optional): Maximum number of results (default: 15)
Returns: List of video dictionaries
YouTubeSearchSync (Sync)
def search(query: str, sp: str = None, limit: int = 15) -> list
Parameters:
query(str): The search querysp(str, optional): Filter string fromFiltersclasslimit(int, optional): Maximum number of results (default: 15)
Returns: List of video dictionaries
When to Use Async vs Sync?
Use YouTubeSearch (Async) when:
- Building FastAPI, aiohttp, or other async web applications
- Running multiple searches concurrently
- Integrating with async frameworks or event loops
Use YouTubeSearchSync (Sync) when:
- Writing simple scripts or automation tools
- Working in Jupyter notebooks or interactive environments
- Building synchronous applications (Flask, Django views, etc.)
Dependencies
aiohttp>=3.8.0(for async version)requests>=2.25.0(for sync version)
License
MIT License. See LICENSE file for details.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Issues
If you encounter any problems, please file an issue on GitHub.
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