Pixiv API for Python (with 6.x AppAPI supported)
Project description
PixivPy
Pixiv API for Python (with Auth supported)
- [2019/09/23] 增加大陆地区AppAPI的免翻墙访问支持, release v3.5 (See example_bypass_sni.py, thanks @Notsfsssf)
- [2019/09/03] Support new auth() check
X-Client-Time/X-Client-Hash
(thanks DaRealFreak, #83) - [2019/04/27] Support hosts proxy for AppAPI, which can use behind the Great Wall (See example_api_proxy.py)
- [2017/04/18] Fix encoder BUG for
illust_bookmark_add()/illust_bookmark_delete()
params (thanks naplings) - [2017/01/05] Add
PixivAPI().works()
liked APIillust_detail()
for App-API (thanks Mapaler), release v3.3 - [2016/12/17] Fixed encoding BUG for Public-API, see #26 (thanks Xdynix)
- [2016/07/27] Now
AppPixivAPI()
can call without auth (thanks zzycami), check demo.py - [2016/07/20] New App-API (Experimental) for
PixivIOSApp/6.0.9
- [2016/07/11] Add new iOS 6.x API reference to Wiki
- [2015/12/02] Add write API for favorite an user / illust, release v3.1
- [2015/08/11] Remove SPAI and release v3.0 (pixivpy3) (Public-API with Search API)
- [2015/05/16] As Pixiv deprecated SAPI in recent days, push new Public-API ranking_all
- [2014/10/07] New framework, SAPI / Public-API supported (requests needed)
Use pip for installing:
pip install pixivpy --upgrade
Requirements: requests
Mikubill/PixivPy-Async: Async Pixiv API for Python 3
性能对比(需要高性能访问场景,可以参考这个脚本)
@Mikubill: 简单进行了一下并发测试。(撞了N次Rate Limit...)
sg -> Singapore, jp -> Japan, unit -> second
Method | Sync(10,sg) | Async(10,sg) | Sync(200,sg) | Async(200,sg) |
---|---|---|---|---|
illust_detail | 1.1209 | 0.8641 | 31.7041 | 2.4580 |
illust_ranking | 1.0697 | 0.7936 | 28.4539 | 2.0693 |
user_illusts | 0.8824 | 0.7505 | 28.3981 | 1.8199 |
user_detail | 0.9628 | 0.7550 | 28.3055 | 1.7738 |
ugoira_metadata | 0.8509 | 0.7459 | 29.5566 | 2.2331 |
works | 1.1204 | 0.8912 | 32.2068 | 2.8513 |
me_following_works | 1.1253 | 0.7845 | 39.3142 | 2.2785 |
ranking | 1.0946 | 0.7944 | 39.6509 | 2.6548 |
latest_works | 1.0483 | 0.8667 | 36.1992 | 2.5066 |
Method | Sync(500,jp) | Async(500,jp) |
---|---|---|
illust_detail | 6.2178 | 0.6400 |
illust_ranking | 6.4046 | 0.6119 |
user_illusts | 7.6093 | 1.5266 |
user_detail | 6.6759 | 0.5952 |
ugoira_metadata | 6.5155 | 0.7577 |
works | 13.3074 | 0.8619 |
me_following_works | 24.2693 | 2.0835 |
ranking | 21.4119 | 3.2805 |
latest_works | 17.3502 | 2.7029 |
Projects base on pixivpy
- Xdynix/PixivPixie: User-friendly Pixiv API based on PixivPy
- Mikubill/PixivPy-Async: Async Pixiv API for Python 3
Example:
from pixivpy3 import *
api = AppPixivAPI()
# api.login("username", "password") # Not required
# get origin url
json_result = api.illust_detail(59580629)
illust = json_result.illust
print(">>> origin url: %s" % illust.image_urls['large'])
# get ranking: 1-30
# mode: [day, week, month, day_male, day_female, week_original, week_rookie, day_manga]
json_result = api.illust_ranking('day')
for illust in json_result.illusts:
print(" p1 [%s] %s" % (illust.title, illust.image_urls.medium))
# next page: 31-60
next_qs = api.parse_qs(json_result.next_url)
json_result = api.illust_ranking(**next_qs)
for illust in json_result.illusts:
print(" p2 [%s] %s" % (illust.title, illust.image_urls.medium))
Sniffer - App API
Sniffer - Public API
Using API proxy behind the Great Wall See detail in Issue#73
- Upgrade pixivpy >= v3.2.0:
pip install pixivpy --upgrade
- Call
api.download()
like the below:
aapi = AppPixivAPI()
json_result = aapi.illust_ranking()
for illust in json_result.illusts[:3]:
aapi.download(illust.image_urls.large)
Migrate pixivpy2 to pixivpy3
- Replace
api.papi.*
toapi.*
- Change deprecated SPAI call to Public-API call
print(">>> new ranking_all(mode='daily', page=1, per_page=50)")
#rank_list = api.sapi.ranking("all", 'day', 1)
rank_list = api.ranking_all('daily', 1, 50)
print(rank_list)
# more fields about response: https://github.com/upbit/pixivpy/wiki/sniffer
ranking = rank_list.response[0]
for img in ranking.works:
#print img.work
print("[%s/%s(id=%s)] %s" % (img.work.user.name, img.work.title, img.work.id, img.work.image_urls.px_480mw))
About
If you have any questions, please feel free to contact me: rmusique@gmail.com
Find Pixiv API in Objective-C? You might also like PixivAPI_iOS
API functions
App-API (6.0 - app-api.pixiv.net)
class AppPixivAPI(BasePixivAPI):
# 返回翻页用参数
def parse_qs(self, next_url):
# 用户详情
def user_detail(self, user_id):
# 用户作品列表
def user_illusts(self, user_id, type='illust'):
# 用户收藏作品列表
def user_bookmarks_illust(self, user_id, restrict='public'):
# 关注用户的新作
# restrict: [public, private]
def illust_follow(self, restrict='public'):
# 作品详情 (无需登录,同PAPI.works)
def illust_detail(self, illust_id):
# 相关作品列表
def illust_related(self, illust_id):
# 插画推荐 (Home - Main)
# content_type: [illust, manga]
def illust_recommended(self, content_type='illust'):
# 作品排行
# mode: [day, week, month, day_male, day_female, week_original, week_rookie, day_manga]
# date: '2016-08-01'
# mode(r18榜单需登录): [day_r18, day_male_r18, day_female_r18, week_r18, week_r18g]
def illust_ranking(self, mode='day', date=None, offset=None):
# 趋势标签 (Search - tags)
def trending_tags_illust(self):
# 搜索 (Search)
# search_target - 搜索类型
# partial_match_for_tags - 标签部分一致
# exact_match_for_tags - 标签完全一致
# title_and_caption - 标题说明文
# sort: [date_desc, date_asc]
# duration: [within_last_day, within_last_week, within_last_month]
def search_illust(self, word, search_target='partial_match_for_tags', sort='date_desc', duration=None):
# 作品收藏详情
def illust_bookmark_detail(self, illust_id):
# 新增收藏
def illust_bookmark_add(self, illust_id, restrict='public', tags=None):
# 删除收藏
def illust_bookmark_delete(self, illust_id):
# 用户收藏标签列表
def user_bookmark_tags_illust(self, restrict='public', offset=None):
# Following用户列表
def user_following(self, user_id, restrict='public', offset=None):
# Followers用户列表
def user_follower(self, user_id, filter='for_ios', offset=None):
# 好P友
def user_mypixiv(self, user_id, offset=None):
# 黑名单用户
def user_list(self, user_id, filter='for_ios', offset=None):
# 获取ugoira信息
def ugoira_metadata(self, illust_id):
aapi = AppPixivAPI()
# 作品推荐
json_result = aapi.illust_recommended()
print(json_result)
illust = json_result.illusts[0]
print(">>> %s, origin url: %s" % (illust.title, illust.image_urls['large']))
# 作品相关推荐
json_result = aapi.illust_related(57065990)
print(json_result)
illust = json_result.illusts[0]
print(">>> %s, origin url: %s" % (illust.title, illust.image_urls['large']))
# 作品相关推荐-下一页 (.parse_qs(next_url) 用法)
next_qs = aapi.parse_qs(json_result.next_url)
json_result = aapi.illust_related(**next_qs)
print(json_result)
illust = json_result.illusts[0]
print(">>> %s, origin url: %s" % (illust.title, illust.image_urls['large']))
# 用户详情
json_result = aapi.user_detail(660788)
print(json_result)
user = json_result.user
print("%s(@%s) region=%s" % (user.name, user.account, json_result.profile.region))
# 用户作品列表
json_result = aapi.user_illusts(660788)
print(json_result)
illust = json_result.illusts[0]
print(">>> %s, origin url: %s" % (illust.title, illust.image_urls['large']))
# 用户收藏列表
json_result = aapi.user_bookmarks_illust(2088434)
print(json_result)
illust = json_result.illusts[0]
print(">>> %s, origin url: %s" % (illust.title, illust.image_urls['large']))
# 2016-07-15 日的过去一周排行
json_result = aapi.illust_ranking('week', date='2016-07-15')
print(json_result)
illust = json_result.illusts[0]
print(">>> %s, origin url: %s" % (illust.title, illust.image_urls['large']))
# 关注用户的新作 (需要login)
json_result = aapi.illust_follow(req_auth=True)
print(json_result)
illust = json_result.illusts[0]
print(">>> %s, origin url: %s" % (illust.title, illust.image_urls['large']))
# 标签 "水着" 搜索
json_result = aapi.search_illust('水着', search_target='partial_match_for_tags')
print(json_result)
illust = json_result.illusts[0]
print(">>> %s, origin url: %s" % (illust.title, illust.image_urls['large']))
Public-API
PAPI.*
class PixivAPI(BasePixivAPI):
# 作品详细
def works(self, illust_id):
# 用户资料
def users(self, author_id):
# 我的订阅
def me_feeds(self, show_r18=1):
# 获取收藏夹
def me_favorite_works(self,page=1,per_page=50,image_sizes=['px_128x128', 'px_480mw', 'large']):
# 添加收藏
# publicity: public, private
def me_favorite_works_add(self, work_id, publicity='public'):
# 删除收藏
def me_favorite_works_delete(self, ids):
# 关注用户
# publicity: public, private
def me_favorite_users_follow(self, user_id, publicity='public'):
# 用户作品
# publicity: public, private
def users_works(self, author_id, page=1, per_page=30, publicity='public'):
# 用户收藏
# publicity: public, private
def users_favorite_works(self, author_id, page=1, per_page=30, publicity='public'):
# 排行榜/过去排行榜
# mode:
# daily - 每日
# weekly - 每周
# monthly - 每月
# male - 男性热门
# female - 女性热门
# original - 原创
# rookie - Rookie
# daily_r18 - R18每日
# weekly_r18 - R18每周
# male_r18
# female_r18
# r18g
# page: 1-n
# date: '2015-04-01' (仅过去排行榜)
def ranking_all(self, mode='daily', page=1, per_page=50, date=None):
# 搜索
# query: 搜索的文字
# page: 1-n
# mode:
# text - 标题/描述
# tag - 非精确标签
# exact_tag - 精确标签
# caption - 描述
# period (only applies to asc order):
# all - 所有
# day - 一天之内
# week - 一周之内
# month - 一月之内
# order:
# desc - 新顺序
# asc - 旧顺序
def search_works(self, query, page=1, per_page=30, mode='text',
period='all', order='desc', sort='date'):
# 作品详细 PAPI.works
json_result = api.works(46363414)
print(json_result)
illust = json_result.response[0]
print( ">>> %s, origin url: %s" % (illust.caption, illust.image_urls['large']))
# 用户资料 PAPI.users
json_result = api.users(1184799)
print(json_result)
user = json_result.response[0]
print(user.profile.introduction)
# 我的订阅 PAPI.me_feeds
json_result = api.me_feeds(show_r18=0)
print(json_result)
ref_work = json_result.response[0].ref_work
print(ref_work.title)
# 我的收藏列表(private) PAPI.me_favorite_works
json_result = api.me_favorite_works(publicity='private')
print(json_result)
illust = json_result.response[0].work
print("[%s] %s: %s" % (illust.user.name, illust.title, illust.image_urls.px_480mw))
# 关注的新作品[New -> Follow] PAPI.me_following_works
json_result = api.me_following_works()
print(json_result)
illust = json_result.response[0]
print(">>> %s, origin url: %s" % (illust.caption, illust.image_urls['large']))
# 我关注的用户 PAPI.me_following
json_result = api.me_following()
print(json_result)
user = json_result.response[0]
print(user.name)
# 用户作品 PAPI.users_works
json_result = api.users_works(1184799)
print(json_result)
illust = json_result.response[0]
print(">>> %s, origin url: %s" % (illust.caption, illust.image_urls['large']))
# 用户收藏 PAPI.users_favorite_works
json_result = api.users_favorite_works(1184799)
print(json_result)
illust = json_result.response[0].work
print(">>> %s origin url: %s" % (illust.caption, illust.image_urls['large']))
# 获取收藏夹 PAPI.me_favorite_works
json_result = api.me_favorite_works()
print(json_result)
ids = json_result.response[0].id
# 添加收藏 PAPI.me_favorite_works_add
json_result = api.me_favorite_works_add(46363414)
print(json_result)
# 删除收藏 PAPI.me_favorite_works_delete
json_result = api.me_favorite_works_delete(ids)
print(json_result)
# 关注用户 PAPI.me_favorite_users_follow
json_result = api.me_favorite_users_follow(1184799)
print(json_result)
# 排行榜 PAPI.ranking(illust)
json_result = api.ranking('illust', 'weekly', 1)
print(json_result)
illust = json_result.response[0].works[0].work
print(">>> %s origin url: %s" % (illust.title, illust.image_urls['large']))
# 过去排行榜 PAPI.ranking(all, 2015-05-01)
json_result = api.ranking(ranking_type='all', mode='daily', page=1, date='2015-05-01')
print(json_result)
illust = json_result.response[0].works[0].work
print(">>> %s origin url: %s" % (illust.title, illust.image_urls['large']))
# 标题(text)/标签(exact_tag)搜索 PAPI.search_works
#json_result = api.search_works("五航戦 姉妹", page=1, mode='text')
json_result = api.search_works("水遊び", page=1, mode='exact_tag')
print(json_result)
illust = json_result.response[0]
print(">>> %s origin url: %s" % (illust.title, illust.image_urls['large']))
# 最新作品列表[New -> Everyone] PAPI.latest_works
json_result = api.latest_works()
print(json_result)
illust = json_result.response[0]
print(">>> %s url: %s" % (illust.title, illust.image_urls.px_480mw))
Make a release
Bump version in
pixivpy3/__init__.py
, rebuild dist/*
python3 setup.py sdist bdist_wheel
python2 setup.py bdist_wheel
twine upload dist/*
License
Feel free to use, reuse and abuse the code in this project.
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