逐渐嚣张，使用python采集本家文章数据保存PDF

前言

嗨喽！大家好呀，这里是魔王~**

本次必备素材:

• wkhtmltopdf [软件]
• 素材代码

第三方库：

• requests >>> pip install requests
• parsel >>> pip install parsel
• pdfkit >>> pip install pdfkit

开发环境：

• 版 本：python3.8
• 编辑器：pycharm

win + R 输入cmd 输入安装命令 pip install 模块名 如果出现爆红 可能是因为 网络连接超时 切换国内镜像源

采集流程:

一. 分析想要数据内容, 可以从哪里获取

通过开发者工具进行抓包分析, 分析之后可得, 我们想要数据内容其实就请求导航栏url地址即可

二. 代码实现步骤:

获取多个文章内容(获取所有文章url地址)

1. 发送请求, 对于文章目录页面发送请求
2. 获取数据, 获取网页源代码数据 文本数据
3. 解析数据, 提取文章url地址

获取文章内容代码

1. 发送请求, 对于url地址发送请求
2. 获取数据, 获取网页源代码数据
3. 解析数据, 提取文章内容
4. 保存数据, 先保存成html文件, 再把html文件转成PDF

代码

# import requests  # 数据请求模块
# import parsel   # 数据解析模块
# import re  # 正则表示
# import pdfkit
# import subprocess
# for page in range(4, 6):
#     url = f'https://blog.csdn.net/fei347795790/article/list/{page}'  # 确定请求网址
#     # headers 请求头, 主要用于伪装python, 防止程序被服务器识别出来
#     headers = {
#         'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/100.0.4896.88 Safari/537.36'
#     }
#     # 用requests模块里面get方式发送请求
#     response = requests.get(url=url, headers=headers)
#     # print(response.text)  # <Response [200]> 响应对象 200 表示请求成功
#     selector = parsel.Selector(response.text)  # <Selector xpath=None data='\n\n    > 返回对象
#     # css 是解析方式之一 根据标签属性内容提取数据 a::attr(href) 获取a标签里面href属性
#     href = selector.css('#articleMeList-blog > div.article-list > div > h4 > a::attr(href)').getall()
#     # print(href)
#     for index in href:
#         try:
#             print(index)
#             html_data = requests.get(url=index, headers=headers).text
#             selector_1 = parsel.Selector(html_data)
#             title = selector_1.css('#articleContentId::text').get()
#             cmd = f'C:\\01-Software-installation\\wkhtmltopdf\\bin\\wkhtmltopdf.exe {index} pdf_1\\{title}.pdf'
#             subprocess.run(cmd, shell=True)
#         except Exception as e:
#             print(e)


import requests

url = 'https://blog.csdn.net/phoenix/web/v1/comment/submit'
like_url = 'https://blog.csdn.net//phoenix/web/v1/article/like'
headers = {
    'cookie': 'uuid_tt_dd=10_29360288410-1640936706807-857482; __gads=ID=1a4feb23074a3469-22da76a196cf0001:T=1640936708:RT=1640936708:S=ALNI_MawGCakjM400IbVY204TvKfKLhDlg; Hm_lvt_e5ef47b9f471504959267fd614d579cd=1645514550; __gpi=UID=0000049689281fe2:T=1649317424:RT=1649317424:S=ALNI_MYlX9R83NQ5EzlFY5UgNF09G45dPw; c_dl_prid=-; c_dl_rid=1650090830371_447095; c_dl_fref=https://so.csdn.net/so/search; c_dl_fpage=/download/qq_43651710/10848772; c_dl_um=distribute.pc_search_result.none-task-blog-2%7Evipall%7Efirst_rank_ecpm_v1%7Erank_v31_ecpm-1-114898691.nonecase; dc_session_id=10_1650262926080.949004; c_first_ref=www.baidu.com; c_first_page=https%3A//blog.csdn.net/fei347795790/category_11731395.html; c_segment=10; Hm_lvt_6bcd52f51e9b3dce32bec4a3997715ac=1650090803,1650095679,1650112607,1650262927; firstDie=1; hide_login=1; dc_sid=70fca81ac8fa563314905c0e38f533b9; unlogin_scroll_step=1650263871780; c_pref=default; SESSION=eb13b53e-41e8-43e0-aa6c-54811bb65d0c; c_ref=https%3A//blog.csdn.net/fei347795790/article/details/110070943; ssxmod_itna=Qqfx2DB7D=DQexCq0LpO8D9i8DORYYrQN7Yd7DlOiQxA5D8D6DQeGTTRdY=T1zCep+uDQDRgyfKlFpO2GWKk7YawWsUnO4GLDmKDyKA=ueDxOq0rD74irDDxD39D7PGmDiWZRD72=1lSgK8DWKDKx0kDY5Dw=AGDiPD7gFeCB9w1g911pBGd4D1qCvxKBKD9x0CDlPxf9GkDDyf69isyo3EDmb3A1BhDCKDjg71s6YDUeysgaFU/j0aAnT5YQxxLQi4Kg0Dt=2DK2GYGQpN1nredjDxfsrFTnTqDDpxpywx4D===; ssxmod_itna2=Qqfx2DB7D=DQexCq0LpO8D9i8DORYYrQN7YdD6h8iQD0vxLx03qKru2d+UOqcnUg8xhCDRoHKH1SQqrUY0iFWAxm=RhDFIOD8xod7VS8Bv0+m23mlQcq+912jIp1r/8bM1z9ZgSyzg5CKBhHsmH8BeHiq8wHMDp1prTH5eoO5FE83p976COKCP57q35OWchz=iuDVBi5KB4GeDIbenWenPaKBYrmQWWek4qqcAFWKnxt0/M=u0pK0nDH5M+rPa1eVQQxRaZDREMbBYBbi5mb17K13xzFV+en8OpHAqw+pp5dK4=R7caLRTTSb5K91ea5UFt8D4QRiIhqRrfRvY+eu3qEY9QQR0z44fK=RGxd4eDPiR+10hu+FCIxaBe1Ue=QB7YnpQc/FwEWvP=mO+4sAHn95OQwbC9H/p+mTa9E/lIP2bcWFk+mwB9N/Ej9ID2xYE+aLSiPkWWT=iiK+aT0bWKAsYGdWnDDgDcIQr4ORGCBGmQPG7O2Y7VmmARgGWWKoqszEmiwB0m7gWRz91N+QE4wXTt78wCo3LWZRxCkoO7m1KT4rmvfKxZ+NITqbgw/hrixDKd9D7=DYFqeD===; UserName=weixin_43239784; UserInfo=b58cf84406a84acebf2c3f36442f1c59; UserToken=b58cf84406a84acebf2c3f36442f1c59; UserNick=%E6%97%A0%E9%9B%A8%E0%B8%88%E0%B8%B8%E0%B9%8A%E0%B8%9A; AU=1D5; UN=weixin_43239784; BT=1650268841955; p_uid=U010000; c_page_id=default; dc_tos=raizmv; log_Id_pv=153; Hm_lpvt_6bcd52f51e9b3dce32bec4a3997715ac=1650268904; Hm_up_6bcd52f51e9b3dce32bec4a3997715ac=%7B%22islogin%22%3A%7B%22value%22%3A%221%22%2C%22scope%22%3A1%7D%2C%22isonline%22%3A%7B%22value%22%3A%221%22%2C%22scope%22%3A1%7D%2C%22isvip%22%3A%7B%22value%22%3A%220%22%2C%22scope%22%3A1%7D%2C%22uid_%22%3A%7B%22value%22%3A%22weixin_43239784%22%2C%22scope%22%3A1%7D%7D; Hm_ct_6bcd52f51e9b3dce32bec4a3997715ac=6525*1*10_29360288410-1640936706807-857482!5744*1*weixin_43239784; log_Id_view=478; log_Id_click=110',
    'origin': 'https://blog.csdn.net',
    'referer': 'https://blog.csdn.net/fei347795790/article/details/110070943',
    'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/100.0.4896.88 Safari/537.36',
    'x-requested-with': 'XMLHttpRequest',
    'x-tingyun-id': 'im-pGljNfnc;r=268943811',
}
data = {
    'commentId': '',
    'content': '自游老师真帅',
    'articleId': '124196275',
}
like_data = {
    'articleId': '110070943'
}
# response = requests.post(url=url, data=data, headers=headers)
response = requests.post(url=like_url, data=like_data, headers=headers)
print(response)

尾语

好了，我的这篇文章写到这里就结束啦！

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