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[源码] 小红书图片视频解析源码

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2023-09-16 15:13
发表于 2023-10-29 10:36
本帖最后由 blindcat 于 2023-10-29 10:36 编辑

小红书图片视频解析源码


import re
import requests
from bs4 import BeautifulSoup
import json
from PIL import Image
from io import BytesIO


def xsh_video_image():
try:

headers = {
"accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.87 UBrowser/6.2.4098.3 Safari/537.36",
}
# 定义请求的URL
url = "http://xhslink.com/PMbpHv"
# 请替换你自己的cookie
cookie = {
'customerBeakerSessionId': '',
'xsecappid': '',
'x-user-id-creator.xiaohongshu.com': '',
'websectiga': '',
'galaxy_creator_session_id': '',
'webBuild': '3.11.3',
'galaxy.creator.beaker.session.id': '',
'sec_poison_id': '',
'web_session': '',
'gid': '',
'a1': '',
'abRequestId': '',
'access-token-creator.xiaohongshu.com': '',
'cache_feeds': '[]',
'customer-sso-sid': '',
'customerClientId': '',
'unread': '',
'webId': ''}

# 发送GET请求,并添加Cookie
response = requests.get(url, headers=headers, cookies=cookie)
response.raise_for_status()
if response.text == '':
print("解析失败")
return
soup = BeautifulSoup(response.text, 'html.parser')

script = soup.find('script', string=re.compile('window\.__INITIAL_STATE__')).text

newhtmlinfo = script.replace('window.__INITIAL_STATE__=', '').replace('undefined', 'null')
# 转换成json数据
result = json.loads(newhtmlinfo, strict=False)
note = result.get('note')
noteDetailMap = note.get('noteDetailMap')

first_key, first_value = next(iter(noteDetailMap.items()))
first_note = first_value.get('note')
# 标题
title = first_note.get('title')
# 如果获取到的视频还是带水印那就是你的cookie获取有问题,推荐使用Cookie-Editor插件来获取
if first_note.get('type') == 'video':
print("类型为video")
stream = first_note.get('video').get('media').get('stream')

h264 = stream.get('h264')
# 这是视频地址
video_url = h264[-1].get('masterUrl')
print(video_url)
else:
print("类型是图片")
image_list = first_note.get('imageList')
image_url_list_webp = []
for image_obj in image_list:
info_list = image_obj.get('infoList')
for image_url in info_list:
if image_url.get('imageScene') == 'CRD_WM_JPG':
url = image_url.get('url')
# 这个url地址的图片是webp格式的需要自己转换一下
download_and_convert_webp_to_jpg(url, "c:/")

except requests.exceptions.HTTPError as err:
print(err)
return "解析错误"


def download_and_convert_webp_to_jpg(url, save_path):
"""
这个下载的自己改改吧,我的需求是做成接口的
:param url: 图片网络地址
:param save_path: 图片保存的位置
:return:
"""
response = requests.get(url)
if response.status_code == 200:
# 从响应内容创建PIL Image对象
webp_image = Image.open(BytesIO(response.content))
# 转换为JPEG格式
webp_image = webp_image.convert("RGB")
# 保存为JPEG文件
webp_image.save(save_path, "JPEG")
print(f"成功将WebP图片保存为JPEG格式:{save_path}")
else:
print(f"无法下载图片,状态码:{response.status_code}")


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