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# 详解（一）Python + Selenium 批量采集微信公众号，搭建自己的微信公众号每日AI简报，告别信息焦虑
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# https://blog.csdn.net/k352733625/article/details/149222945
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# 微信爬爬猫---公众号文章抓取代码分析
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# https://blog.csdn.net/yajuanpi4899/article/details/121584268
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import datetime
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import json
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import logging
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import random
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import re
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import requests
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"""
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# 查看selenium版本
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pip show selenium
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4.34.2
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# 查看Chrome浏览器版本
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chrome://version/
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138.0.7204.101 (正式版本) （64 位）
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# 下载驱动包
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https://googlechromelabs.github.io/chrome-for-testing/
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https://storage.googleapis.com/chrome-for-testing-public/138.0.7204.94/win64/chromedriver-win64.zip
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"""
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import time
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from selenium import webdriver
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from selenium.webdriver.chrome.options import Options
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from selenium.webdriver.chrome.service import Service as ChromeService
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if __name__ == '__main__':
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# 从文件cookies.txt中获取
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with open('cookies.txt', 'r', encoding='utf-8') as f:
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content = f.read()
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# 使用json还原为json对象
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cookies = json.loads(content)
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# "expiry": 1787106233
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# 检查是否有过期时间
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expiry = cookies["expiry"]
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if expiry:
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# 换算出过期时间
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expiry_time = time.localtime(expiry)
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expiry_date = time.strftime("%Y-%m-%d %H:%M:%S", expiry_time)
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print("cookies的过期时间一般是4天，cookies过期时间：", expiry_date)
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# 获取当前时间戳
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current_timestamp = time.time()
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# 检查是否已过期
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if current_timestamp > expiry:
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print("Cookie已过期")
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exit()
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# 移除expiry属性
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del cookies["expiry"]
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options = Options()
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options.add_argument('-headless') # 无头参数，调试时可以注释掉
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# 设置headers - 使用微信内置浏览器的User-Agent
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header = {
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"HOST": "mp.weixin.qq.com",
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.116 Safari/537.36 QBCore/4.0.1301.400 QQBrowser/9.0.2524.400 Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2875.116 Safari/537.36 NetType/WIFI MicroMessenger/7.0.20.1781(0x6700143B) WindowsWechat(0x63010200)",
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"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8",
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"Accept-Encoding": "gzip, deflate, br",
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"Accept-Language": "zh-CN,zh;q=0.8,en-US;q=0.6,en;q=0.5;q=0.4",
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"Connection": "keep-alive"
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}
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service = ChromeService(executable_path=r"C:\Windows\System32\chromedriver.exe")
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driver = webdriver.Chrome(service=service, options=options)
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# 方法3：使用requests库发送请求获取重定向URL
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url = 'https://mp.weixin.qq.com'
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response = requests.get(url=url, allow_redirects=False, cookies=cookies)
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if 'Location' in response.headers:
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redirect_url = response.headers.get("Location")
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print("重定向URL:", redirect_url)
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token_match = re.findall(r'token=(\d+)', redirect_url)
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if token_match:
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token = token_match[0]
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print("获取到的token:", token)
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logging.info("微信token:" + token)
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article_urls = []
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gzlist = [{"account_name": "长春教育八卦阵", "account_id": "jybg100"},
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{"account_name": "致知物理", "account_id": "zhizhiphysics"}]
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for item in gzlist:
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account_name = item["account_name"]
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account_id = item["account_id"]
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# 搜索微信公众号的接口地址
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search_url = 'https://mp.weixin.qq.com/cgi-bin/searchbiz?'
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# 搜索微信公众号接口需要传入的参数，有三个变量：微信公众号token、随机数random、搜索的微信公众号名字
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query_id = {
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'action': 'search_biz',
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'token': token,
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'lang': 'zh_CN',
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'f': 'json',
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'ajax': '1',
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'random': random.random(),
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'query': account_name,
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'begin': '0',
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'count': '5'
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}
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# 打开搜索微信公众号接口地址，需要传入相关参数信息如：cookies、params、headers
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search_response = requests.get(search_url, cookies=cookies, headers=header, params=query_id)
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# 取搜索结果中的第一个公众号
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lists = search_response.json().get('list')[0]
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# 获取这个公众号的fakeid，后面爬取公众号文章需要此字段
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fakeid = lists.get('fakeid')
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logging.info("fakeid:" + fakeid)
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# 微信公众号文章接口地址
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appmsg_url = 'https://mp.weixin.qq.com/cgi-bin/appmsg?'
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# 搜索文章需要传入几个参数：登录的公众号token、要爬取文章的公众号fakeid、随机数random
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query_id_data = {
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'token': token,
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'lang': 'zh_CN',
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'f': 'json',
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'ajax': '1',
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'random': random.random(),
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'action': 'list_ex',
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'begin': '0', # 不同页，此参数变化，变化规则为每页加5
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'count': '5',
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'query': '',
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'fakeid': fakeid,
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'type': '9'
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}
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# 打开搜索的微信公众号文章列表页
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query_fakeid_response = requests.get(appmsg_url, cookies=cookies, headers=header, params=query_id_data)
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fakeid_list = query_fakeid_response.json().get('app_msg_list')
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for item in fakeid_list:
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# 采集item示例
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new_article = {
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'title': item.get('title'),
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'article_url': item.get('link'),
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'account_id': account_id,
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'account_name': account_name,
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'publish_time': datetime.datetime.fromtimestamp(int(item.get("update_time"))).strftime(
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'%Y-%m-%d %H:%M:%S'),
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'collection_time': datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
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}
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logging.info("new_article:", new_article)
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article_urls.append({"title": item.get('title'), "url": item.get('link'),
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"publish_time": datetime.datetime.fromtimestamp(int(item.get("update_time"))).strftime(
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'%Y-%m-%d %H:%M:%S')})
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time.sleep(1)
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for x in article_urls:
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print(x)
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# 将返回的地址写入到文件
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with open('article_urls.txt', 'w', encoding='utf-8') as f:
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for record in article_urls:
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f.write(record['title'] + " " + record['publish_time'] + " " + record['url'] + '\n')
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# 关闭浏览器
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driver.quit()
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print("所有文章爬取完成！")
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