Skip to main content

PyTorrentSearch

CLI + Python library to search for and parse magnet links from the Internet.

It leverages well known search engines such as Yandex, Google and DuckDuckGo. In my tests only Google was able to work reliably.

If you already have the website link you can just paste it as it would be a query then it will look for all magnet links that it can find in the raw HTML.

The idea is to quickly classify good sites and bad sites based on if the magnet link is already in the base HTML without having to load the JavaScript crap.

DISCLAIMER: Use at your own risk. This software doesn't store or provide illegal content by itself, it's only a search tool.

Installation & Usage

Run directly without installation using uvx:

uvx pytorrentsearch "your search query"

Or install globally:

uv tool install pytorrentsearch
pytorrentsearch "your search query"

You can also provide a direct URL to parse:

uvx pytorrentsearch "https://example.com/torrent-page"

Development

This project uses mise for tool management and uv for Python dependency management.

Setup

# Install mise (if not already installed)
# See: https://mise.jdx.dev/getting-started.html

# Install tools (uv, ruff)
mise install

# Install Python dependencies
uv sync

Available Commands

# Format code
mise run fmt

# Run linter
mise run lint

# Run tests
mise run test

# Build package
mise run build

# Clean build artifacts
mise run clean

Metadata

Release files for pytorrentsearch 0.3.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pytorrentsearch 0.3.0
File Size Uploaded Provenance
pytorrentsearch-0.3.0.tar.gz 44.4 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for pytorrentsearch 0.3.0
File Interpreter ABI Platform
pytorrentsearch-0.3.0-py3-none-any.whl Python 3 none any Details

Total release size: 52.8 kB

Release files / pytorrentsearch-0.3.0.tar.gz

Download URL pytorrentsearch-0.3.0.tar.gz
Size 44.4 kB
Tags Source
SHA-256 checksum
How to use checksums
b4aaac69bf0432111799580614d893a4624af36e0989091916e97c850c893e7c
BLAKE2b-256 checksum
How to use checksums
50dcde6f82ad86ac80148b6a2bac251bd97e983feab9d7ab70e873153b75f934
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.3

Release files / pytorrentsearch-0.3.0-py3-none-any.whl

Download URL pytorrentsearch-0.3.0-py3-none-any.whl
Size 8.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
b06a73faedec0e3150b5c8754430ff4521d6b8a46645f19b41dfcec7538f4129
BLAKE2b-256 checksum
How to use checksums
3e70cc2eabb7cb2308056324e7c19987c9581715318242273d0b89b6712e2534
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.3

Security for pytorrentsearch 0.3.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page