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Python爬虫目前是基于requests包，下面是该包的文档，查一些资料还是比较方便。

POST发送内容格式

爬取某旅游网站的产品评论，通过分析，获取json文件需要POST指令。简单来说：

GET是将需要发送的信息直接添加在网址后面发送

POST方式是发送一个另外的内容到服务器

那么通过POST发送的内容可以大概有三种，即form、json和multipart，目前先介绍前两种

1.content in form

Content-Type: application/x-www-form-urlencoded

将内容放入dict，然后传递给参数data即可。

payload = {'key1': 'value1', 'key2': 'value2'}

r= requests.post(url, data=payload)

2. content in json

Content-Type: application/json

将dict转换为json，传递给data参数。

payload = {'some': 'data'}

r= requests.post(url, data=json.dumps(payload))

或者将dict传递给json参数。

payload = {'some': 'data'}

r= requests.post(url, json=payload

HTTP Hearder概述

A new request may need type(eg: POST), URL, request Headers and request Body. Now let's talk about the request body of a new POST request.

Accept

It can be used to specify certain media types which are acceptable for the response.

The asterisk "*" character means all types. For example, "*/*" indicating all media types and "type/*" indicating all subtypes of that type.

";" "q" "=" qvalue is a relative degree. The default "q" is 1.

Accept: audio/*; q=0.2, audio/basic

If more than one media range applies to a given type, the most specific reference has precedence.

Accept: text/*, text/html, text/html;level=1, */*

In this example, "text/html;level=1" has the highest precedence.

Content-Length

the size of the entity-body that would have been sent had the request been a GET.

For example, The form data is like this:

type: all

currentPage:3productId:

And the Request Body you send is like this:

type=all&currentPage=3&productId=

So the Content-Length is 33.

User-Agent

Search the Internet for different User-Agents.

然后贴一下简单的代码供参考。

importrequestsimportjsondefgetCommentStr():

url= r"https://package.com/user/comment/product/queryComments.json"header={'User-Agent': r'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:62.0) Gecko/20100101 Firefox/62.0','Accept': r'application/json, text/javascript, */*; q=0.01','Accept-Language': r'en-US,en;q=0.5','Accept-Encoding': r'gzip, deflate, br','Content-Type': r'application/x-www-form-urlencoded; charset=UTF-8','X-Requested-With': r'XMLHttpRequest','Content-Length': '65','DNT': '1','Connection': r'keep-alive','TE': r'Trailers'}

params={'pageNo': '2','pageSize': '10','productId': '2590732030','rateStatus': 'ALL','type': 'all'}

r= requests.post(url, headers = header, data =params)print(r.text)

getCommentStr()

小技巧

对于cookies，感觉可以用浏览器的编辑功能，逐步删除每次发送的cookies信息，判断哪些是没有用的？

对于测试代码阶段，我还是比较习惯于将爬取的数据存为str，也算是为了服务器减负吧。

爬取信息处理

爬取信息处理主要讲Beautifulsoup库和正则表达式(Regular Expression)

1. BeautifulSoup

bs4的官方文档

首先在Ternimal安装 pip install bs4 ，同时也可以安装lxml解析器 pip install lxml ，或者html5lib解析器。

soup = bs4.BeautifulSoup(t,'lxml')

tagList= soup.find_all('div', attrs={'class': 'content'})

tagList= soup.find_all('div', attrs={'class': re.compile("(content)|()")})

其中t是需要解析的文本，lxml是解析器。

tagList接收的是div标签下class="content"的标签内容，其中可以运用正则表达式对象。

2. 正则表达式

正则表达式使用前先 import re ，基本语法见笔记。

提取匹配信息

对目标文本t匹配

useful = re.findall(r'有用\d+',t)

构造正则表达式对象，并进行使用

usefulRE = re.compile('有用\d+')

useful= usefulRE.findall(t)

替换匹配信息

replace()函数替换文本

newUseful.append(useful[i].replace('有用','').replace('',''))

正则表达式替换文本

newScoreA.append(re.sub(r'[^\d+]','',scoreA[i]))