[python]百度贴吧爬虫

eg.

爬取西安交通大学吧内容，并以['url':page_url,'title':title,'para':reply]形式存储到MongoDB数据库。

一、相关信息介绍

爬虫是一段自动抓取互联网信息的程序。一般情况下采取人工方式从互联网上获取少量的信息，爬虫可以从一个URL出发，访问它所关联的URL，并且从每个页面中获取有价值数据。

这是轻量级(无需登录和异步加载的静态网页的抓取)网络爬虫的开发，采用python语言编写，主要包括URL管理器、网页下载器(urllib2)、网页解析器(BeautifulSoup)，实现百度贴吧网络爬虫相关的页面数据，简单爬虫的架构如下：

简单爬虫架构流程如下：

二、程序按照架构分为以下五个主要的py文件：

config.py  --  配置MongoDB相关信息

from pymongo import MongoClientconn = MongoClient('127.0.0.1',27017)db_crawl = conn.mydb_crawl    #连接mydb_test数据库，没有则自动创建my_crawl = db_crawl.test_crawl    #使用test_set集合，没有则自动创建

主调度文件为TieBaCrawl.py

# coding:utf8import html_parserimport url_managerfrom Crawl import html_downloaderclass SpiderMain(object):    def __init__(self):        self.urls = url_manager.UrlManager()        self.downloader = html_downloader.HtnlDownloader()        self.parser = html_parser.HtmlParser()    def craw(self, root_url):        count = 1        self.urls.add_new_url(root_url)        while self.urls.has_new_url():            try:                new_url = self.urls.get_new_url()                print ('craw %d :%s' % (count, new_url))                html_cont = self.downloader.download(new_url)                new_urls = self.parser.parse(new_url, html_cont)                self.urls.add_new_urls(new_urls)                # if count == 100:                #     break                count = count + 1            except:                print ('craw failed')if __name__ == "__main__":    root_url = "http://tieba.baidu.com/f?kw=%E8%A5%BF%E5%AE%89%E4%BA%A4%E9%80%9A%E5%A4%A7%E5%AD%A6&traceid="    obj_spider = SpiderMain()    obj_spider.craw(root_url)

URL管理器 url_manager.py

# coding:utf8class 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

html下载器 html_downloader.py

# coding:utf8import urllibfrom urllib import requestclass HtnlDownloader(object):    def download(self, url):        if url is None:            print("url is None")            return None        response = urllib.request.urlopen(url)        if response.getcode() != 200:  # ==200网络请求成功的意思,返回这个状态表示已经获取到数据了            print("response.getcode():", response.getcode(),"!=200")            return        return response.read()

html解析器 html_parser.py

# coding:utf8import refrom urllib import parsefrom bs4 import BeautifulSoupfrom Crawl.config import *class HtmlParser(object):    def _get_new_urls(self, page_url, soup):        new_urls = set()        links = soup.find_all('a',href=re.compile(r".*\/p\/.*"))     #匹配帖子的href        for link in links:            new_url = link['href']            new_full_url = parse.urljoin(page_url, new_url)            new_urls.add(new_full_url)        return new_urls    def _get_new_data(self, page_url, soup):        str_ = []        title_node = soup.find('title')#贴吧首页每个帖子都是一个title，点进去每个帖子的title也有标识        title = title_node.get_text()        # print("title:",title)        if soup.find('a',rel = r"noreferrer") is not None:            para_node = soup.find_all('a', rel=r"noreferrer")        else:            para_node = soup.find_all('div',class_="d_post_content_main")            # print(len(para_node))            for node in para_node:                try:                    temp = node.get_text()                    temp = str(temp).replace(" ","").replace("\n","")                    if temp is not "":                        if temp in title:     #不能获取帖子里二级及其以后的回复内容                            print(temp,"in title:",title,"跳过")                        else:                            str_.append(temp)                except:                    pass        my_crawl.insert([{'url':page_url,'title':title,'para':str_}])    #将URL、title、para插入数据库    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)        self._get_new_data(page_url,soup)        return new_urls

三、运行结果存储于MongoDB，RoBo 3T可视化显示如下：