# egrcc/zhihu-python

获取知乎内容信息，包括问题，答案，用户，收藏夹信息

Repository: https://github.com/egrcc/zhihu-python
Canonical: https://ross.abutalabs.com/products/zhihu-python
Language: Python
License: MIT
License Family: permissive
Last push: 2022-02-08T06:51:04+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": 4280, "days_push": 1667, "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 2335, forks 840 (observed 2026-08-28T04:06:38.004029+00:00)

## What it is
A Python 2.7 library for scraping content from Zhihu, a Chinese Q&A platform, including questions, answers, users, and favorites. It can export answers to txt or markdown files since Zhihu offers no official API.

## Use cases
- scrape all answers to a zhihu question
- backup a user's zhihu answers to markdown
- export zhihu answers as txt files
- get zhihu question metadata like topics and follower counts
- fetch zhihu user profile info without an official api

## When to choose
- you need to archive Zhihu content and can work with legacy Python 2.7 code
- you want a simple scriptable way to export Zhihu answers to txt or markdown

## When to avoid
- you need a maintained tool - the project is explicitly unmaintained and Zhihu's site has likely changed
- you use Python 3 - consider zhihu-py3 instead
- you need reliable scraping against the current Zhihu website or anti-bot measures

## Facets
- artifact type: library
- maturity: abandoned
- function: web-scraping, parser, sdk
- domain: crawlers, social-media, developer-tools
- platform: python
- tags: zhihu, scraper, python2, unmaintained, content-export, markdown-export, linux

## Member repositories
- egrcc/zhihu-python (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:38.004029+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 2026-08-30T02:37:36.444192+00:00, confidence not recorded.
  - readme: https://github.com/egrcc/zhihu-python (fetched 2026-08-28T04:06:38.004029+00:00, sha 9993b321abc3)
- Data as of 2026-08-30T08:39:29.467469+00:00.