PixivPy3 
Due to #158 reason, password login no longer exist. Please use
api.auth(refresh_token=REFRESH_TOKEN)insteadTo get
refresh_token, see @ZipFile Pixiv OAuth Flow or OAuth with Selenium/ChromeDriver
Pixiv API for Python (with Auth supported)
- [2022/02/04] Remove Public-API support as it's deprecated by Pixiv, see !201
- [2021/11/23] Add
illust_newfor get latest works, see !189 - [2021/03/02] Add user
follow/unfollow, addnovelAPI, see !161 (thanks @y-young, @invobzvr) - [2020/10/17] Use cloudscraper to bypass Cloudflare, fixed issue #140 (thanks @lllusion3469)
- [2020/07/19] Add date specification for
search_illust()(thanks Xdynix) - [2020/06/06] Add
AppPixivAPI().search_novel()for novel search - [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:
# for Python3
pip install pixivpy3 --upgrade
# for Python2
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
- 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))
# get all page:
next_qs = {"mode": "day"}
while next_qs:
json_result = api.illust_ranking(**next_qs)
for illust in json_result.illusts:
print("[%s] %s" % (illust.title, illust.image_urls.medium))
next_qs = api.parse_qs(json_result.next_url)Sniffer - App API
Sniffer - Public API (deprecated)
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: [email protected]
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(next_url):
# 用户详情
def user_detail(user_id):
# 用户作品列表
## type: [illust, manga]
def user_illusts(user_id, type="illust"):
# 用户收藏作品列表
# tag: 从 user_bookmark_tags_illust 获取的收藏标签
def user_bookmarks_illust(user_id, restrict="public"):
def user_related(seed_user_id):
# 关注用户的新作
# restrict: [public, private]
def illust_follow(restrict="public"):
# 作品详情 (类似PAPI.works()，iOS中未使用)
def illust_detail(illust_id):
# 作品评论
def illust_comments(illust_id, include_total_comments=None):
# 相关作品列表
def illust_related(illust_id):
# 插画推荐 (Home - Main)
# content_type: [illust, manga]
def illust_recommended(content_type="illust"):
# 小说推荐
def novel_recommended():
# 作品排行
# mode: [day, week, month, day_male, day_female, week_original, week_rookie, day_manga]
# date: '2016-08-01'
# mode (Past): [day, week, month, day_male, day_female, week_original, week_rookie,
# day_r18, day_male_r18, day_female_r18, week_r18, week_r18g]
def illust_ranking(mode="day", date=None):
# 趋势标签 (Search - tags)
def trending_tags_illust():
# 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, popular_desc] - popular_desc为会员的热门排序
# duration: [within_last_day, within_last_week, within_last_month]
# start_date, end_date: '2020-07-01'
def search_illust(word, search_target="partial_match_for_tags", sort="date_desc", duration=None, start_date=None, end_date=None):
# 搜索小说 (Search Novel)
# 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
# text - 正文
# keyword - 关键词
# sort: [date_desc, date_asc]
# start_date/end_date: 2020-06-01
def search_novel(word, search_target="partial_match_for_tags", sort="date_desc", start_date=None, end_date=None):
def search_user(word, sort='date_desc', duration=None):
# 作品收藏详情
def illust_bookmark_detail(illust_id):
# 新增收藏
def illust_bookmark_add(illust_id, restrict="public", tags=None):
# 删除收藏
def illust_bookmark_delete(illust_id):
# 关注用户
def user_follow_add(user_id, restrict="public"):
# 取消关注用户
def user_follow_delete(user_id):
# 用户收藏标签列表
def user_bookmark_tags_illust(restrict="public"):
# Following用户列表
def user_following(user_id, restrict="public"):
# Followers用户列表
def user_follower(user_id):
# 好P友
def user_mypixiv(user_id):
# 黑名单用户
def user_list(user_id):
# 获取ugoira信息
def ugoira_metadata(illust_id):
# 用户小说列表
def user_novels(user_id):
# 小说系列详情
def novel_series(series_id, last_order=None):
# 小说详情
def novel_detail(novel_id):
# 小说正文
def novel_text(novel_id):
# 大家的新作
# content_type: [illust, manga]
def illust_new(content_type="illust", max_illust_id=None):
def novel_new(max_novel_id=None):
# 特辑详情 (无需登录，调用Web API)
def showcase_article(showcase_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']))
# 用户 "gomzi" 搜索
json_result = aapi.search_user("gomzi")
print(json_result)
illust = json_result.user_previews[0].illusts[0]
print(">>> %s, origin url: %s" % (illust.title, illust.image_urls['large']))Make a release
Bump version in
pixivpy3/VERSION, 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.