- 代码功能如题：根据快手用户的id来爬取用户所有公开作品，包括图集和视频。
- 原理：其实就是利用基于chromium内核的浏览器自带的devtools对所有请求进行排查找出包含作品链接的请求，然后用代码模拟请求去获得数据，再根据url下载作品保存就行了，包括一些网站的自动注册登录、操作都可以模拟。这个其实应该算是写过爬虫的同学们都知道。
- 废话不多说，上核心代码
def __crawl_user(self, uid):
if uid.isdigit():
uid = self.__switch_id(uid)
payload = {"operationName": "privateFeedsQuery",
"variables": {"principalId": uid, "pcursor": "", "count": 999},
"query": "query privateFeedsQuery($principalId: String, $pcursor: String, $count: Int) {n privateFeeds(principalId: $principalId, pcursor: $pcursor, count: $count) {n pcursorn list {n idn thumbnailUrln postern workTypen typen useVideoPlayern imgUrlsn imgSizesn magicFacen musicNamen captionn locationn likedn onlyFollowerCanCommentn relativeHeightn timestampn widthn heightn counts {n displayViewn displayLiken displayCommentn __typenamen }n user {n idn eidn namen avatarn __typenamen }n expTagn __typenamen }n __typenamen }n}n"}
res = requests.post(self.__data_url, headers=self.__headers, json=payload)
works = json.loads(res.content.decode(encoding='utf-8', errors='strict'))['data']['privateFeeds']['list']
if not os.path.exists("../data"):
os.makedirs("../data")
# 这两行代码将response写入json供分析
# with open("data/" + uid + ".json", "w") as fp:
# fp.write(json.dumps(works, indent=2))
# 防止该用户在直播，第一个作品默认为直播，导致获取信息为NoneType
if works[0]['id'] is None:
works.pop(0)
name = re.sub(r'[/:*?"<>|rn]+', "", works[0]['user']['name'])
dir = "data/" + name + "(" + uid + ")/"
# print(len(works))
if not os.path.exists(dir):
os.makedirs(dir)
# if not os.path.exists(dir + ".list"):
# print("")
print("开始爬取用户 " + name + "，保存在目录 " + dir)
print(" 共有" + str(len(works)) + "个作品")
for j in range(len(works)):
self.__crawl_work(uid, dir, works[j], j + 1)
time.sleep(1)
print("用户 " + name + "爬取完成!")
print()
time.sleep(1)
快手分为五种类型的作品，在作品里面表现为workType属性
- 其中两种图集: vertical和multiple，意味着拼接长图和多图，所有图片的链接在imgUrls里
- 一种单张图片: single 图片链接也在imgUrls里
- K歌: ksong 图片链接一样，不考虑爬取音频...
- 视频: video 需要解析html获得视频链接
def __crawl_work(self, uid, dir, work, wdx):
w_type = work['workType']
w_caption = re.sub(r"s+", " ", work['caption'])
w_name = re.sub(r'[/:*?"<>|rn]+', "", w_caption)[0:24]
w_time = time.strftime('%Y-%m-%d', time.localtime(work['timestamp'] / 1000))
if w_type == 'vertical' or w_type == 'multiple' or w_type == "single" or w_type == 'ksong':
w_urls = work['imgUrls']
l = len(w_urls)
print(" " + str(wdx) + ")图集作品：" + w_caption + "，" + "共有" + str(l) + "张图片")
for i in range(l):
p_name = w_time + "_" + w_name + "_" + str(i + 1) + ".jpg"
pic = dir + p_name
if not os.path.exists(pic):
r = requests.get(w_urls[i])
r.raise_for_status()
with open(pic, "wb") as f:
f.write(r.content)
print(" " + str(i + 1) + "/" + str(l) + " 图片 " + p_name + " 下载成功 √")
else:
print(" " + str(i + 1) + "/" + str(l) + " 图片 " + p_name + " 已存在 √")
elif w_type == 'video':
w_url = self.__work_url + work['id']
res = requests.get(w_url, headers=self.__headers_mobile,
params={"fid": 1841409882, "cc": "share_copylink", "shareId": "143108986354"})
html = res.text
waitreplace = work['id'] + '".*?"srcNoMark":"(.*?)"'
v_url = re.findall(waitreplace, html)
# pattern = re.compile(r"playUrl", re.MULTILINE | re.DOTALL)
# script = soup.find("script", text=pattern)
# s = pattern.search(script.text).string
# v_url = s.split('playUrl":"')[1].split('.mp4')[0].encode('utf-8').decode('unicode-escape') + '.mp4'
try:
print(" " + str(wdx) + ")视频作品：" + w_caption)
except:
print(" 这里似乎有点小错误，已跳过")
v_name = w_time + "_" + w_name + ".mp4"
video = dir + v_name
if v_url:
if not os.path.exists(video):
r = requests.get(v_url[0])
r.raise_for_status()
with open(video, "wb") as f:
f.write(r.content)
print(" 视频 " + v_name + " 下载成功 √")
else:
print(" 视频 " + v_name + " 已存在 √")
else:
print("未找到视频")
else:
print("错误的类型")
注意事项：
- 不考虑提供列表可选的批量下载功能
- 有需要的合理功能可以issue反馈，看到后会考虑是否修改
- 如果需要自定义自己的需求，可以拿走代码自行修改，喜欢的话给个star给个follow
- 本代码仅供学习使用，不可违反法律爬取视频，以及私自盗用搬运视频，后果自负
项目源码地址 https://github.com/oGsLP/kuaishou-crawler
