标签：2.0 需要 port 时间 pytho images intel encoding tar
Beautiful Soup标准库是一个可以从HTML/XML文件中提取数据的Python库，它能够通过你喜欢的转换器实现惯用的文档导航，查找，修改文档的方式，Beautiful Soup将会节省数小时的工作时间。pymongo标准库是MongoDb NoSql数据库与python语言之间的桥梁，通过pymongo将数据保存到MongoDb中。结合使用这两者来爬去喜马拉雅电台的数据...
Beautiful Soup支持Python标准库中的HTML解析器,还支持一些第三方的解析器,其中一个是 lxml。本文使用的就是lxml，对于这个的安装，请看 python 3.6 lxml标准库lxml的安装及etree的使用注意
同时，本文使用了XPath来解析我们想要的部分，对于XPath与Beautiful Soup的介绍与使用请看 Beautiful Soup 4.4.0 文档 XPath 简介
本文涉及到的Beautiful Soup与XPath的知识不是很深，看看官方文档就能理解，而且我还加上了注释...
对于pymongo标准库，我就不多扯淡了，详情请看 python标准库之pymongo模块次体验
有时候，我们需要判断当前向服务器发出请求的客户端的类型，也就是通常所说的User-Agent，简称UA，我们在浏览网页时所使用的浏览器就是UA的一种，换言之，UA就是浏览器，在HTTP协议中，通过User-Agent请求头说明用户浏览器的类型，操作系统，浏览器内核等信息的标识。通过这个标识，用过所访问的网站可以显示不同的版本，从而为用户提供更好的体验或者进行信息统计。而有些网站正式利用UA来防止黑客或是像我们这种无聊的人来爬去网站的数据信息。
因此，本文代码首先就把所有的UA都给列取出来，以方便后续的爬取工作。
好了，下面来明确下我们要爬取得数据是什么：
我们需要的是图片的链接，alt等
随后我们点击图片链接之后，获取里面的详情，如果有些电台是多页的，那么我们用过xpath来依次访问。同时我们获取页面中专辑里的声音模块的sound_id...
程序如下：
import random
import requests
from bs4 import BeautifulSoup
import json
from lxml import etree
import pymongo
clients = pymongo.MongoClient("localhost", 27017)
db = clients["XiMaLaYa"]
collection_1 = db["album"]
collection_2 = db["detail"]
UA_LIST = [
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/22.0.1207.1 Safari/537.1",
"Mozilla/5.0 (X11; CrOS i686 2268.111.0) AppleWebKit/536.11 (KHTML, like Gecko) Chrome/20.0.1132.57 Safari/536.11",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.6 (KHTML, like Gecko) Chrome/20.0.1092.0 Safari/536.6",
"Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.6 (KHTML, like Gecko) Chrome/20.0.1090.0 Safari/536.6",
"Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/19.77.34.5 Safari/537.1",
"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.9 Safari/536.5",
"Mozilla/5.0 (Windows NT 6.0) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.36 Safari/536.5",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",
"Mozilla/5.0 (Windows NT 5.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",
"Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; SE 2.X MetaSr 1.0; SE 2.X MetaSr 1.0; .NET CLR 2.0.50727; SE 2.X MetaSr 1.0)",
"Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
"Mozilla/5.0 (Windows NT 6.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
"Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.0 Safari/536.3",
"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/535.24 (KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24",
"Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/535.24 (KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/22.0.1207.1 Safari/537.1",
"Mozilla/5.0 (X11; CrOS i686 2268.111.0) AppleWebKit/536.11 (KHTML, like Gecko) Chrome/20.0.1132.57 Safari/536.11",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.6 (KHTML, like Gecko) Chrome/20.0.1092.0 Safari/536.6",
"Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.6 (KHTML, like Gecko) Chrome/20.0.1090.0 Safari/536.6",
"Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/19.77.34.5 Safari/537.1",
"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.9 Safari/536.5",
"Mozilla/5.0 (Windows NT 6.0) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.36 Safari/536.5",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",
"Mozilla/5.0 (Windows NT 5.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_0) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",
"Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3",
"Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
"Mozilla/5.0 (Windows NT 6.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
"Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.0 Safari/536.3",
"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/535.24 (KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24",
"Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/535.24 (KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24"
]
headers1 = {
‘Accept‘: ‘text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8‘,
‘Accept-Encoding‘: ‘gzip, deflate, sdch‘,
‘Accept-Language‘: ‘zh-CN,zh;q=0.8,en;q=0.6‘,
‘Cache-Control‘: ‘max-age=0‘,
‘Proxy-Connection‘: ‘keep-alive‘,
‘Upgrade-Insecure-Requests‘: ‘1‘,
‘User-Agent‘: random.choice(UA_LIST) # User_agence表示用户代理
}
headers2 = {
‘Accept‘: ‘text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8‘,
‘Accept-Encoding‘: ‘gzip, deflate, sdch‘,
‘Accept-Language‘: ‘zh-CN,zh;q=0.8,en;q=0.6‘,
‘Cache-Control‘: ‘max-age=0‘,
‘Proxy-Connection‘: ‘keep-alive‘,
‘Referer‘: ‘http://www.ximalaya.com/dq/all/2‘,
‘Upgrade-Insecure-Requests‘: ‘1‘,
‘User-Agent‘: random.choice(UA_LIST)
}
# Beautiful库用来处理XML和HTML...
# 主要就是利用BeautifulSoup模块来处理requests模块获取的Html源码
# 利用lxml模块将html源码解析成树结构，xpath来处理树节点.
def get_url():
start_urls = ["http://www.ximalaya.com/dq/all/{}".format(num) for num in range(1，85)]
# start_urls = ["http://www.ximalaya.com/dq/all/1"]
for start_url in start_urls:
html = requests.get(start_url, headers=headers1).text
soup = BeautifulSoup(html, "lxml") # 使用lxml来处理
for item in soup.find_all(class_="albumfaceOutter"): # 解析并查找xml节点
content = {
‘href‘: item.a["href"],
‘title‘: item.img[‘alt‘],
‘img_url‘: item.img[‘src‘]
}
collection_1.insert(content)
# another(item.a["href"])
print(‘写入完成...‘)
# 进入电台具体页面 http://www.ximalaya.com/15836959/album/303085，并处理分页录音...
def another(url):
html = requests.get(url, headers=headers1).text
# / :表示从根节点选取....
# // :表示匹配选择的当前节点选择文档中的节点，而不考虑他们的位置...
ifanother = etree.HTML(html).xpath(‘//div[@class="pagingBar_wrapper"]/a[last()-1]/@data-page‘) # 页面链接地址 ifanother是list类型...
if len(ifanother): # 判断一个video的录音是否分割成了多页....
num = ifanother[0] # 获取页面数...
print(‘本频道保存在‘ + num + ‘个页面‘)
for n in range(1, int(num)):
url2 = url + ‘?page={}‘.format(n)
get_m4a(url2)
get_m4a(url)
# 获取分页录音页面的详细数据...
def get_m4a(url):
html = requests.get(url, headers=headers2).text
numlist = etree.HTML(html).xpath(‘//div[@class="personal_body"]/@sound_ids‘)[0].split(‘,‘)
for i in numlist:
murl = ‘http://www.ximalaya.com/tracks/{}.json‘.format(i)
html = requests.get(murl, headers=headers1).text
dic = json.loads(html)
collection_2.insert(dic)
if __name__ == "__main__":
get_url()
python标准库Beautiful Soup与MongoDb爬喜马拉雅电台的总结
标签：2.0 需要 port 时间 pytho images intel encoding tar
原文地址：http://www.cnblogs.com/zhiyong-ITNote/p/7172433.html
