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Simple collection of scrapers of popular torrent sites.

Project description

Torrent Scraper Collection

Collection of web scrapers of popular torrent sites.

Currently package provides scrapers for:


🚀 Features

  • Scrape torrent listings (name, seeders, leechers, size, uploader, etc.)
  • Fetch magnet links
  • Handle pagination and search filters (category, sorting)
  • Easily extendable to other torrent sites
  • Logs warnings for missing data, connection errors and timeouts

Installation

You can install the package from pypi or clone the repository.

Package

pip install torrent-scrapers

Manual installation

🧱 Requirements

  • Python 3.10+
  • requests
  • beautifulsoup4
  • pydantic

Clone repository

git clone https://github.com/flisakl/torrent-scrapers
cd torrent-scrapers

Install dependencies

pip install requests beautifulsoup4 pydantic

🛠 Usage

Using built in scraper

from scrapers.x1337 import Scraper1337, Params1337, Category1337, Order1337

scraper = Scraper1337()

params = Params1337(
    name="ozark",
    category=Category1337.TV,
    order_column=Order1337.SIZE,
    order_ascending=False
)

results = scraper.find_torrents(params, (1,))

for torrent in results:
    scraper.get_torrent_info(torrent)
    print(torrent)

🧩 Making your own scraper

To add support for a new torrent site:

  1. Subclass Scrapper
  2. Implement the following methods:
    • get_request_data
    • parse_search_page
    • parse_detail_page

🔧 Structures

TorrentInfo

Pydantic's model containing torrent informations.

Field Type Description
name str Search term
url str URL for torrent detail page
seeders int Number of seeders
leechers int Number of leechers
size str Size of torrent's data
magnet str Magnet link
uploader str Optional name of torrent uploader
category str Optional category of the torrent

SearchParams

Pydantic's model containing search parameters, it is best to create subclass for each scraper.

Field Type Description
name str Search term
category str Optional category
order_column str Optional sorting column
order_ascending bool Sort order

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