mirror of
https://github.com/rachelos/we-mp-rss.git
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RachelOS
91 lines
3.0 KiB
Python
91 lines
3.0 KiB
Python
# -*- coding: UTF-8 -*-
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import time
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import requests
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import pandas as pd
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def getMoreInfo(link):
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# 获得mid,_biz,idx,sn 这几个在link中的信息
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mid = link.split("&")[1].split("=")[1]
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idx = link.split("&")[2].split("=")[1]
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sn = link.split("&")[3].split("=")[1]
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_biz = link.split("&")[0].split("_biz=")[1]
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# fillder 中取得一些不变得信息
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# req_id = "0614ymV0y86FlTVXB02AXd8p"
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pass_ticket = "" # 从fiddler中获取
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appmsg_token = "" # 从fiddler中获取
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uin = "" # 从fiddler 中获取
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key = "" # 从fiddler 中获取
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# 目标url
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url = "http://mp.weixin.qq.com/mp/getappmsgext" # 获取详情页的网址
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# 添加Cookie避免登陆操作，这里的"User-Agent"最好为手机浏览器的标识
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phoneCookie = "" # 从fiddler 中获取
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headers = {
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"Cookie": phoneCookie,
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"User-Agent": "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.138 Safari/537.36 NetType/WIFI MicroMessenger/7.0.20.1781(0x6700143B) WindowsWechat(0x63070517)"
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}
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# 添加data，`req_id`、`pass_ticket`分别对应文章的信息，从fiddler复制即可。
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data = {
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"is_only_read": "1",
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"is_temp_url": "0",
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"appmsg_type": "9",
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'reward_uin_count': '0'
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}
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"""
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添加请求参数
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__biz对应公众号的信息，唯一
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mid、sn、idx分别对应每篇文章的url的信息，需要从url中进行提取
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key、appmsg_token从fiddler上复制即可
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pass_ticket对应的文章的信息，也可以直接从fiddler复制
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"""
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params = {
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"__biz": _biz,
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"mid": mid,
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"sn": sn,
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"idx": idx,
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"key": key,
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"pass_ticket": pass_ticket,
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"appmsg_token": appmsg_token,
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"uin": uin,
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"wxtoken": "777",
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}
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content = requests.post(url, headers=headers, data=data, params=params).json()
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# 提取其中的阅读数和点赞数
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print(content["appmsgstat"]["read_num"], content["appmsgstat"]["like_num"])
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try:
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readNum = content["appmsgstat"]["read_num"]
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print("阅读数:" + str(readNum))
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except:
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readNum = 0
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try:
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likeNum = content["appmsgstat"]["like_num"]
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print("喜爱数:" + str(likeNum))
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except:
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likeNum = 0
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try:
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old_like_num = content["appmsgstat"]["old_like_num"]
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print("在读数:" + str(old_like_num))
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except:
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old_like_num = 0
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return readNum, likeNum, old_like_num
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df = pd.read_csv("data.csv")
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try:
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for index, row in enumerate(df.itertuples()):
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readNum, likeNum, old_like_num = getMoreInfo(row.url)
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df.loc[index, 'likeNum'] = likeNum
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df.loc[index, 'readNum'] = readNum
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df.loc[index, 'old_like_num'] = old_like_num
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print(row.url)
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# 歇3s，防止被封
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time.sleep(3)
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except Exception as e:
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print(e)
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df.to_csv("data1.csv") |