This is a simple torrent indexer that can be used to index torrents from HTML pages. It is written in Golang and uses Redis as a cache.
Visit https://torrent-indexer.darklyn.org/ to test it.
If you have Docker + docker-compose installed, you can deploy it using the following command:
curl -s https://raw.githubusercontent.com/felipemarinho97/torrent-indexer/main/docker-compose.yml > docker-compose.yml
docker-compose up -d
The server will be available at http://localhost:8080/.
You can configure the server using the following environment variables:
PORT
: (optional) The port that the server will listen to. Default:7006
FLARESOLVERR_ADDRESS
: (optional) The address of the FlareSolverr instance. Default:N/A
MEILISEARCH_ADDRESS
: (optional) The address of the MeiliSearch instance. Default:N/A
MEILISEARCH_KEY
: (optional) The API key of the MeiliSearch instance. Default:N/A
REDIS_HOST
: (optional) The address of the Redis instance. Default:localhost
SHORT_LIVED_CACHE_EXPIRATION
(optional) The expiration time of the short-lived cache in duration format. Default:30m
- This cache is used to cache homepage or search results.
- Example:
30m
,1h
,1h30m
,1h30m30s
LONG_LIVED_CACHE_EXPIRATION
(optional) The expiration time of the long-lived cache in duration format. Default:7d
- This cache is used to store the torrent webpages (posts). You can set it to a higher value because the torrent pages are not updated frequently.
You can integrate this indexer with Jackett by adding a new Torznab custom indexer. Here is an example of how to do it for the bludv
indexer:
---
id: bludv_indexer
name: BluDV Indexer
description: "BluDV - Custom indexer on from torrent-indexer"
language: pt-BR
type: public
encoding: UTF-8
links:
- http://localhost:8080/
caps:
categorymappings:
- { id: Movie, cat: Movies, desc: "Movies" }
- { id: TV, cat: TV, desc: "TV" }
modes:
search: [q]
tv-search: [q, season, ep]
movie-search: [q]
allowrawsearch: true
settings: []
search:
paths:
- path: "indexers/bludv?filter_results=true&q={{ .Keywords }}"
response:
type: json
keywordsfilters:
- name: tolower
rows:
selector: $.results
count:
selector: $.count
fields:
_id:
selector: title
download:
selector: magnet_link
title:
selector: title
description:
selector: original_title
details:
selector: details
infohash:
selector: info_hash
date:
selector: date
size:
selector: size
seeders:
selector: seed_count
leechers:
selector: leech_count
imdb:
selector: imdb
category_is_tv_show:
selector: title
filters:
- name: regexp
args: "\\b(S\\d+(?:E\\d+)?)\\b"
category:
text: "{{ if .Result.category_is_tv_show }}TV{{ else }}Movie{{ end }}"
# json engine n/a
If you have more tips on how to integrate with other torrent API clients like Prowlarr, please open a PR.
The instance running at https://torrent-indexer.darklyn.org/ is my personal instance and it is not guaranteed to be up all the time. Also, for better availability, I recommend deploying your own instance because the Cloudflare protection may block requests from indexed sites if too many requests are made in a short period of time from the same IP.
If I notice that the instance is being used a lot, I may block requests from Jackett to avoid overloading the server without prior notice.