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本文实例为大家分享了python下载微信公众号相关文章的具体代码，供大家参考，具体内容如下
目的：从零开始学自动化测试公众号中下载“pytest"一系列文档
1、搜索微信号文章关键字搜索
2、对搜索结果前n页进行解析，获取文章标题和对应url
主要使用的是requests和bs4中的beautifulsoup
weixin.py
我要评论
import requests
from urllib.parse import quote
from bs4 import beautifulsoup
import re
from weixinspider.html2doc import myhtmlparser
class weixinspider(object):
def __init__(self, gzh_name, pageno,keyword):
self.gzh_name = gzh_name
self.pageno = pageno
self.keyword = keyword.lower()
self.page_url = []
self.article_list = []
self.headers = {
'user-agent': 'mozilla/5.0 (windows nt 10.0; wow64) applewebkit/537.36 (khtml, like gecko) chrome/70.0.3538.110 safari/537.36'}
self.timeout = 5
# [...] 用来表示一组字符,单独列出：[amk] 匹配 'a'，'m'或'k'
# re+ 匹配1个或多个的表达式。
self.pattern = r'[\\/:*?"<>|\r\n]+'
def get_page_url(self):
for i in range(1,self.pageno+1):
# https://weixin.sogou.com/weixin?query=从零开始学自动化测试&_sug_type_=&s_from=input&_sug_=n&type=2&page=2&ie=utf8
url = "https://weixin.sogou.com/weixin?query=%s&_sug_type_=&s_from=input&_sug_=n&type=2&page=%s&ie=utf8" \
% (quote(self.gzh_name),i)
self.page_url.append(url)
def get_article_url(self):
article = {}
for url in self.page_url:
response = requests.get(url,headers=self.headers,timeout=self.timeout)
result = beautifulsoup(response.text, 'html.parser')
articles = result.select('ul[class="news-list"] > li > div[class="txt-box"] > h3 > a ')
for a in articles:
# print(a.text)
# print(a["href"])
if self.keyword in a.text.lower():
new_text=re.sub(self.pattern,"",a.text)
article[new_text] = a["href"]
self.article_list.append(article)
headers = {'user-agent':
'mozilla/5.0 (windows nt 10.0; wow64) applewebkit/537.36 (khtml, like gecko) chrome/70.0.3538.110 safari/537.36'}
timeout = 5
gzh_name = 'pytest文档'
my_gzh = weixinspider(gzh_name,5,'pytest')
my_gzh.get_page_url()
# print(my_gzh.page_url)
my_gzh.get_article_url()
# print(my_gzh.article_list)
for article in my_gzh.article_list:
for (key,value) in article.items():
url=value
html_response = requests.get(url,headers=headers,timeout=timeout)
myhtmlparser = myhtmlparser(key)
myhtmlparser.feed(html_response.text)
myhtmlparser.doc.save(myhtmlparser.docfile)
html2doc.py
from html.parser import htmlparser
import requests
from docx import document
import re
from docx.shared import rgbcolor
import docx
class myhtmlparser(htmlparser):
def __init__(self,docname):
htmlparser.__init__(self)
self.docname=docname
self.docfile = r"d:\pytest\%s.doc"%self.docname
self.doc=document()
self.title = false
self.code = false
self.text=''
self.processing =none
self.codeprocessing =none
self.picindex = 1
self.headers = {
'user-agent': 'mozilla/5.0 (windows nt 10.0; wow64) applewebkit/537.36 (khtml, like gecko) chrome/70.0.3538.110 safari/537.36'}
self.timeout = 5
def handle_startendtag(self, tag, attrs):
# 图片的处理比较复杂，首先需要找到对应的图片的url，然后下载并写入doc中
if tag == "img":
if len(attrs) == 0:
pass
else:
for (variable, value) in attrs:
if variable == "data-type":
picname = r"d:\pytest\%s%s.%s" % (self.docname, self.picindex, value)
# print(picname)
if variable == "data-src":
picdata = requests.get(value, headers=self.headers, timeout=self.timeout)
# print(value)
self.picindex = self.picindex + 1
# print(self.picindex)
with open(picname, "wb") as pic:
pic.write(picdata.content)
try:
self.doc.add_picture(picname)
except docx.image.exceptions.unexpectedendoffileerror as e:
print(e)
def handle_starttag(self, tag, attrs):
if re.match(r"h(\d)", tag):
self.title = true
if tag =="p":
self.processing = tag
if tag == "code":
self.code = true
self.codeprocessing = tag
def handle_data(self, data):
if self.title == true:
self.doc.add_heading(data, level=2)
# if self.in_div == true and self.tag == "p":
if self.processing:
self.text = self.text + data
if self.code == true:
p =self.doc.add_paragraph()
run=p.add_run(data)
run.font.color.rgb = rgbcolor(111,111,111)
def handle_endtag(self, tag):
self.title = false
# self.code = false
if tag == self.processing:
self.doc.add_paragraph(self.text)
self.processing = none
self.text=''
if tag == self.codeprocessing:
self.code =false
运行结果：
缺少部分文档，如pytest文档4，是因为搜狗微信文章搜索结果中就没有
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持移动技术网。
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python求numpy中array按列非零元素的平均值案例
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