# upbit/pixivpy

Pixiv API for Python

Repository: https://github.com/upbit/pixivpy
Canonical: https://ross.abutalabs.com/products/pixivpy
Homepage: https://pypi.org/project/PixivPy3/#files
Language: Python
License: Unlicense
License Family: permissive
Topics: pixiv, pixiv-api, pypi
Last push: 2025-07-31T11:05:43+00:00

## Health v2 (maintenance only)
Score: 38/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 34, release rhythm 8, longevity 100
- inputs: {"age_days": 4820, "days_push": 398, "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 2052, forks 158 (observed 2026-08-28T04:06:09.661488+00:00)

## What it is
PixivPy is a Python client library for the Pixiv App-API, supporting authenticated access via refresh tokens. It provides methods for searching and fetching illustrations, novels, user data, and bookmarks, with SNI-bypass and proxy support.

## Use cases
- download illustrations from pixiv
- search pixiv for artworks by tag or date
- fetch a user's bookmarks and followed artists
- access pixiv novel text via api
- build a pixiv feed reader or downloader bot
- bypass pixiv access restrictions in mainland china

## When to choose
- you need programmatic access to the pixiv app-api from Python
- you want a maintained wrapper with auth, search, novel, and bookmark endpoints
- you need Cloudflare/SNI bypass or proxy support for pixiv

## When to avoid
- you need the deprecated public API or password-based login
- you target a platform other than the pixiv app-api
- you need a non-Python client

## Facets
- artifact type: library
- maturity: active
- function: http-client, api-framework, web-scraping
- domain: apis, developer-tools, social-media, media
- platform: python, cross-platform
- tags: pixiv, api-client, illustrations, novels, oauth, refresh-token

## Member repositories
- upbit/pixivpy (main) score 38

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:09.661488+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 2026-08-30T02:57:26.754038+00:00, confidence not recorded.
  - readme: https://github.com/upbit/pixivpy (fetched 2026-08-28T04:06:09.661488+00:00, sha ee037f0f3002)
  - homepage: https://pypi.org/project/PixivPy3/#files (fetched 2026-08-29T10:38:10.422983+00:00, sha 4b4e8fead74a)
  - registry_pypi: https://pypi.org/pypi/pixivpy/json (fetched 2026-08-29T10:38:10.425397+00:00, sha 728d2fb04dc1)
- Data as of 2026-08-30T08:39:29.467469+00:00.