爬虫实践2（爬虫实践心得）

爬虫实践2（爬虫实践心得）

在前一篇博客中，爬了谣言百科中baby类的百科，现在要同时爬所有类别的百科时应该怎么做呢？

无非是添加一个网址list，和一个类别名list，然后进行遍历爬取数据即可！

上代码：

# -*- coding: utf-8 -*-"""Spyder EditorThis is a temporary script file."""from urllib import requestfrom bs4 import BeautifulSoupimport re#import sysimport codecsif __name__ == "__main__": urlList = [' fileNameList = ['health','food','baby','science','life','legend','news','car','love','sexual'] categoryNum = 0 while(categoryNum < 9): text_file_number = 0 # 同一类新闻下的索引数 number = 1 # 同类别新闻不同页面下的索引数 while (number <= 6): if number==1: # 第一个新闻下地址是baby不是baby_数字所以要区分判断一下 get_url = urlList[categoryNum] + '.html' else: get_url = urlList[categoryNum] + '_' + str(number) + '.html' #这个是baby_数字，number就是目录索引数 head = {} #设置头 head['User-Agent'] = 'Mozilla/5.0 (Linux; Android 4.1.1; Nexus 7 Build/JRO03D) AppleWebKit/535.19 (KHTML, like Gecko) Chrome/18.0.1025.166 Safari/535.19' # 模拟浏览器模式，定制请求头 download_req_get = request.Request(url = get_url, headers = head)# 设置Request download_response_get = request.urlopen(download_req_get)# 设置urlopen获取页面所有内容 download_html_get = download_response_get.read().decode('UTF-8','ignore') # UTF-8模式读取获取的页面信息标签和内容 soup_texts = BeautifulSoup(download_html_get, 'lxml') # BeautifulSoup读取页面html标签和内容的信息 for link in soup_texts.find_all(["a"]): print(str(text_file_number)+ " " + str(number) + " "+ link.get('href'))# 打印文件地址用于测试 s = link.get('href') if s.find("/a/") == -1: print("无效网址") # 只有包含"/a/"字符的才是有新闻的有效地址 else: download_url = link.get('href') head = {} head['User-Agent'] = 'Mozilla/5.0 (Linux; Android 4.1.1; Nexus 7 Build/JRO03D) AppleWebKit/535.19 (KHTML, like Gecko) Chrome/18.0.1025.166 Safari/535.19' download_req = request.Request(url = "+ download_url, headers = head) print("+ download_url) download_response = request.urlopen(download_req) download_html = download_response.read().decode('UTF-8','ignore') soup_texts = BeautifulSoup(download_html, 'lxml') texts = soup_texts.find_all('article') soup_text = BeautifulSoup(str(texts), 'lxml') p = re.compile("<[^>]+>") text=p.sub("", str(soup_text))# 去除页面标签 f1 = codecs.open('F:\\test\\' + fileNameList[categoryNum] + '\\' +str(text_file_number)+'.txt','w','UTF-8') # 将信息存储在本地 f1.write(text) f1.close() text_file_number = text_file_number + 1 number = number + 1 categoryNum = categoryNum + 1

当然，自己应提前建好类别的文件夹，如图：

然后运行即可得到数据！

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