# beiliangshizi/China_House

中国买房相关资料和项目整理，方便查看，持续更新中...

Repository: https://github.com/beiliangshizi/China_House
Canonical: https://ross.abutalabs.com/products/china_house
License Family: other
Last push: 2023-10-07T02:34:07+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2669, "days_push": 1062, "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 1417, forks 152 (observed 2026-08-28T04:04:40.084681+00:00)

## What it is
A curated Chinese-language collection of resources, guides, and tools about buying and renting houses in China, organized by city (Beijing, Shanghai, Shenzhen, etc.). It aggregates links to buying guides, price analysis projects, and rental listing scrapers.

## Use cases
- find guides for buying an apartment in Beijing or Shanghai
- learn about second-hand house purchasing in China
- find tools to scrape and track rental listings
- compare house prices and income data by city
- research school-district housing policies
- get first-time home buyer tips for Chinese cities

## When to choose
- you are researching buying or renting property in a major Chinese city
- you want a curated index of community-written housing guides and data tools

## When to avoid
- you need real-time official property listings or legal advice
- you need non-China real estate information
- you expect maintained software rather than a link collection

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, web-scraping, data-visualization, search-engine
- domain: real-estate, awesome-lists, tutorials
- platform: cross-platform
- tags: house-buying, renting, china-real-estate, curated-list, property-data, city-guides, china, housing, web-server

## Member repositories
- beiliangshizi/China_House (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:40.084681+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 2026-08-30T04:38:00.738863+00:00, confidence not recorded.
  - readme: https://github.com/beiliangshizi/China_House (fetched 2026-08-28T04:04:40.084681+00:00, sha bd0f09d19fd0)
- Data as of 2026-08-30T08:39:29.467469+00:00.