WebQuest
WebQuest is an extensible Python toolkit for high-level web scraping, built around a generic Playwright-based scraper interface for quickly building, running, and reusing custom scrapers.
For detailed usage instructions and API reference, please visit the documentation.
To use WebQuest as a Model Context Protocol (MCP) server, please visit the WebQuest MCP repository.
Scrapers
- Any Article: Extracts readable content from arbitrary web articles.
- DuckDuckGo Search: General web search using DuckDuckGo.
- Google News Search: News-focused search via Google News.
- YouTube Search: Search YouTube videos, channels, posts, and shorts.
- YouTube Transcript: Fetch transcripts for YouTube videos.
Browsers
- Hyperbrowser: A cloud-based browser service for running Playwright scrapers without managing infrastructure.
Installation
Installing using pip:
pip install webquest
Installing using uv:
uv add webquest
Usage
To use Hyperbrowser, you need to set the HYPERBROWSER_API_KEY environment variable.
Example usage of the DuckDuckGo Search scraper:
import asyncio
from webquest.browsers import Hyperbrowser
from webquest.scrapers import DuckDuckGoSearch
async def main() -> None:
scraper = DuckDuckGoSearch(browser=Hyperbrowser())
response = await scraper.run(
scraper.request_model(query="Pizza Toppings"),
)
print(response.model_dump_json(indent=4))
if __name__ == "__main__":
asyncio.run(main())
You can also run multiple requests at the same time:
import asyncio
from webquest.browsers import Hyperbrowser
from webquest.scrapers import DuckDuckGoSearch
async def main() -> None:
scraper = DuckDuckGoSearch(browser=Hyperbrowser())
responses = await scraper.run(
scraper.request_model(query="Pizza Toppings"),
scraper.request_model(query="AI News"),
)
for response in responses:
print(response.model_dump_json(indent=4))
if __name__ == "__main__":
asyncio.run(main())
Disclaimer
This tool is for educational and research purposes only. The developers of WebQuest are not responsible for any misuse of this tool. Scraping websites may violate their Terms of Service. Users are solely responsible for ensuring their activities comply with all applicable laws and website policies.
1 maintainer
Metadata
1 maintainer
Release files for webquest 0.13.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| webquest-0.13.1.tar.gz | 10.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| webquest-0.13.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 35.5 kB
Release files / webquest-0.13.1.tar.gz
| Download URL | webquest-0.13.1.tar.gz |
|---|---|
| Size | 10.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
25cb3103b35d4c2efa2369a267f6669e37071160d4914029eef8406a8205cd2f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
uv/0.9.1
|
Release files / webquest-0.13.1-py3-none-any.whl
| Download URL | webquest-0.13.1-py3-none-any.whl |
|---|---|
| Size | 24.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
c768976105bafd18c74a173f58e5d37ae6322159c5577730069b699081f77334
|
|
BLAKE2b-256 checksum How to use checksums |
9c4f14ece55d1c8385540f6274e0f5577d5c802528948bfe46a43ad136c17146
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
uv/0.9.1
|
Security for webquest 0.13.1
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