# coding:utf8
import url_manager,html_downloader,html_parser,html_outputer
class SpiderMain(object):
def __init__(self):
self.urls = url_manager.UrlManager()
self.downloader = html_downloader.HtmlDownloader()
self.parser = html_parser.HtmlParser()
self.outputer = html_outputer.HtmlOutputer()
def craw(self,root_url):
count = 1
#将第一个url添加到待爬取的url
self.urls.add_new_url(root_url)
#判断是否还有未爬取的url
while self.urls.has_new_url():
try:
#获取待爬取的url
new_url = self.urls.get_new_url()
print('craw %d : %s' % (count,new_url))
#根据url下载该网页的内容
html_cont = self.downloader.download(new_url)
#解析下载网页的内容,将新获取的ur添加到待爬取列表,获取到想要爬取的内容
new_urls, new_data = self.parser.parse(new_url,html_cont)
self.urls.add_new_urls(new_urls)
self.outputer.collect_date(new_date)
if count == 1000:
break
count = count + 1
except:
print('craw failed')
#将爬取到的内容输出到html中
self.outputer.output_html()
if __name__=="__main__":
root_url = 'https://baike.baidu.com/item/Python/407313'
obj_spider = SpiderMain()
obj_spider.craw(root_url)
url管理器 url_manager.py
class UrlManager(object):
def __init__(self):
self.new_urls = set()
self.old_urls = set()
def add_new_url(self,url):
if url is None:
return
if url not in self.new_urls and url not in self.old_urls:
self.new_urls.add(url)
def add_new_urls(self,urls):
if urls is None or len(urls) == 0:
return
for url in urls:
self.add_new_url(url)
def has_new_url(self):
return len(self.new_urls) != 0
def get_new_url(self):
new_url = self.new_urls.pop()
self.old_urls.add(new_url)
return new_url
网页下载器 html_downloader.py
import urllib
class HtmlDownloader(object):
def download(self,url):
if url is None:
return None
response = urllib.urlopen(url)
if response.getcode() != 200:
return None
return response.read()
网页解析器 html_parser.py
from bs4 import BeautifulSoup
import re
import urllib.parse
class HtmlParser(object):
def parse(self,page_url,html_cont):
if page_url is None or html_cont is None:
return
soup = BeautifulSoup(html_cont,'html.parser',from_encoding='utf-8')
new_urls = self._get_new_urls(page_url,soup) #疑问调用自己的方法是要加下划线吗
new_urls = self._get_new_data(page_url,soup)
return new_urls,new_urls
def _get_new_urls(self,page_url,soup):
#/item/Python/407313
links = soup.find_all('a',href=re.compile(r"/item/"))
for link in links:
new_url = link['href']
new_full_url = urllib.parse.urljoin(page_url,new_url)
new_urls.add(new_full_url)
return new_urls
def _get_new_data(self,page_url,html_cont):
res_data = {}
#url
res_data['url'] = page_url
#
#~ Python
title_node = soup.find('dd',class_='lemmaWgt-lemmaTitle-title').find('h1')
res_data['title'] = title_node.get_text()
#~
summary_node = soup.find('div',class_='lemma-summary')
res_data['summary'] = summary_node.get_text()
return res_data
将爬取到的价值数据输出 html_outputer.py
class HtmlOutputer(object):
def __init__(self):
self.datas=[]
def collect_date(self,data):
if data is None:
return
self.datas.append(data)
def output_html(self):
fout = open('output.html','w')
fout.write("")
fout.write("")
fout.write("")
fout.write("
")
for data in self.datas:
fout.write("")
fout.write("%s "% data['url'].encode('utf-8'))
fout.write("%s "% title['title'].encode('utf-8'))
fout.write("%s "% summary['url'].encode('utf-8'))
fout.write(" ")
fout.write("")
fout.write("")
fout.close()