# chenjiandongx/mzitu

👧 美女写真套图爬虫（二）

Repository: https://github.com/chenjiandongx/mzitu
Canonical: https://ross.abutalabs.com/products/mzitu
Language: Python
License Family: other
Topics: crawler, meizi
Last push: 2018-07-29T03:19:36+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": 3425, "days_push": 2957, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1220, forks 338 (observed 2026-08-28T04:04:01.938980+00:00)

## What it is
A Python web crawler that downloads full photo galleries from mzitu.com, collecting over 3,000 image sets. It also performs word-frequency analysis and visualization (bar charts, pie charts, word clouds) on the gallery titles.

## Use cases
- scrape image galleries from a website
- download bulk photos with a python crawler
- analyze word frequency in scraped titles
- generate word clouds from text data
- learn how to write a python web scraper

## When to choose
- you want a simple, readable example of a Python scraping project
- you need to bulk-download image sets from a supported site
- you want a demo of word-frequency analysis and charting on scraped text

## When to avoid
- you need a maintained or supported tool - it has no license and no updates since 2018
- the target site structure has changed, as the scraper is site-specific
- you need production-grade scraping with rate limiting, retries, or legal compliance guarantees

## Facets
- artifact type: cli-tool
- maturity: abandoned
- function: web-scraping, image-processing, data-visualization
- domain: crawlers, media, data-science
- platform: python, cli
- tags: image-crawler, adult-content, word-frequency, wordcloud

## Member repositories
- chenjiandongx/mzitu (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:01.938980+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 2026-08-30T06:15:57.064420+00:00, confidence not recorded.
  - readme: https://github.com/chenjiandongx/mzitu (fetched 2026-08-28T04:04:01.938980+00:00, sha fb6c332779b9)
- Data as of 2026-08-30T08:39:29.467469+00:00.