# moyada/stealer

抖音、快手、火山、皮皮虾，视频去水印程序

Repository: https://github.com/moyada/stealer
Canonical: https://ross.abutalabs.com/products/stealer
Language: Python
License: MIT
License Family: permissive
Topics: douyin, douyin-download, pipixia, scrapy, kuaishou, bilibili, bilibili-download
Last push: 2024-05-21T03:22:05+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2339, "days_push": 834, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1128, forks 293 (observed 2026-08-28T04:03:41.928410+00:00)

## What it is
A self-hosted Python web application that parses and downloads watermark-free videos from Chinese short-video platforms such as Douyin, Kuaishou, BiliBili, and Pipixia. It provides a browser UI and HTTP API, and can be deployed via Docker or Django's runserver.

## Use cases
- download douyin videos without watermark
- remove watermark from kuaishou videos
- download bilibili videos
- parse a shared short-video link to get the original file
- self-host a video downloader service
- batch fetch short videos from chinese platforms

## When to choose
- you need watermark-free downloads from douyin, kuaishou, bilibili, or pipixia
- you want a self-hosted downloader with a web UI or API
- you prefer a Docker-deployable service

## When to avoid
- you need platforms outside the supported Chinese short-video apps
- you need a maintained tool with frequent updates
- you cannot run Python/Docker services locally

## Facets
- artifact type: application
- maturity: maintenance
- function: web-scraping, video-processing, http-server, web-framework
- domain: media, web-development
- platform: python, self-hosted
- tags: watermark-removal, douyin, kuaishou, bilibili, pipixia, video-downloader, short-video, video, automation, docker, web-server

## Member repositories
- moyada/stealer (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:41.928410+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:38:34.019443+00:00, confidence not recorded.
  - readme: https://github.com/moyada/stealer (fetched 2026-08-28T04:03:41.928410+00:00, sha 335d038d30cd)
- Data as of 2026-08-30T08:39:29.467469+00:00.