# ma6254/FictionDown

小说下载|小说爬取|起点|笔趣阁|导出Markdown|导出txt|转换epub|广告过滤|自动校对

Repository: https://github.com/ma6254/FictionDown
Canonical: https://ross.abutalabs.com/products/fictiondown
Language: Go
License: GPL-3.0
License Family: copyleft
Topics: biquge, qidian, fiction, novels, spider, crawler, golang
Last push: 2025-01-21T06:35:33+00:00

## Health v2 (maintenance only)
Score: 24/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 2, release rhythm 8, longevity 100
- inputs: {"age_days": 2740, "days_push": 589, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1006, forks 168 (observed 2026-08-28T04:03:11.555488+00:00)

## What it is
FictionDown is a Go-based command-line tool for batch downloading and crawling web novels from sites like Qidian and Biquge. It supports multi-site crawling with automatic cross-checking, ad filtering, resumable downloads, and export to txt, epub, and Markdown formats.

## Use cases
- download web novels from qidian and biquge
- crawl fiction chapters to txt or epub
- convert web novels to markdown for pandoc
- scrape novels from multiple mirror sites with proofreading
- resume interrupted novel downloads
- filter ads out of scraped novel chapters

## When to choose
- you need batch downloads of Chinese web novels from supported sites
- you want resumable multi-threaded crawling with ad filtering
- you need epub/txt/markdown export with volume and author metadata

## When to avoid
- you need a GUI or non-Chinese novel sites
- you want a legally sanctioned source for copyrighted novels
- you need polished epub output for all readers

## Facets
- artifact type: cli-tool
- maturity: active
- function: web-scraping, cli, parser, markdown, pdf
- domain: crawlers, files, developer-tools
- platform: cli, cross-platform, go
- tags: novel-downloader, fiction-crawler, epub-export, txt-export, ad-filtering, multi-site-scraping, resume-download, command-line

## Member repositories
- ma6254/FictionDown (main) score 24

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:11.555488+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 2026-08-30T07:12:47.755127+00:00, confidence not recorded.
  - readme: https://github.com/ma6254/FictionDown (fetched 2026-08-28T04:03:11.555488+00:00, sha 04b995e83f80)
- Data as of 2026-08-30T08:39:29.467469+00:00.