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Python爬蟲,爬取百度百科詞條

看了慕課網的一個網絡爬蟲教程。模仿着寫了一個簡單的爬取百度百科的例子。

(1)安裝Beautifulsoup4

Beautifulsoup是Python的一個網頁解析庫,使用起來很友善。http://cuiqingcai.com/1319.html這個連結是介紹如何使用。這個庫是需要安裝的,進入Pthon安裝目錄下面的Scripts目錄,執行pip install beautifulsoup進行安裝。
Python爬蟲,爬取百度百科詞條

(2)爬蟲具體實作

爬蟲分為5個子產品,排程子產品、網頁下載下傳子產品、網頁解析子產品、URL管理子產品、輸出子產品。

Python爬蟲,爬取百度百科詞條

URL管理子產品,負責儲存最新的網頁URL,每次取出最新的URL進行爬取。

#coding=utf8
class UrlManager(object):


    def __init__(self):
        self.new_urls = set()
        self.old_urls = set()


    #添加新的url
    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)

    #批量添加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)

    #是否有新的url
    def has_new_url(self):
        return len(self.new_urls) != 0

    #擷取新的url
    def get_new_url(self):
        new_url = self.new_urls.pop()
        self.old_urls.add(new_url)

        return new_url
           

URL下載下傳子產品,負責把網頁的内容下載下傳下來,使用urllib2庫進行下載下傳。

#coding utf8

import urllib2


class HtmlDownloader(object):

    def download(self, url):
        if url is None:
            return None

        response = urllib2.urlopen(url);

        if response.getcode == 200:
            return None

        return response.read()
           

URL解析子產品,使用Beautifulsoup把目前網頁的其他連結和網頁簡介解析出來。

# coding:utf-8
import urlparse

from bs4 import BeautifulSoup
import re


class HtmlParser(object):
    def parser(self, page_url, html_content):
        if page_url is None or html_content is None:
            return
        soup = BeautifulSoup(html_content, "html.parser", from_encoding="utf-8")
        new_urls = self._get_new_urls(page_url, soup)
        new_data = self._get_new_data(page_url, soup)

        return new_urls, new_data

    def _get_new_urls(self, page_url, soup):
        new_urls = set()

        links = soup.find_all('a', href=re.compile(r'/item/'))

        for link in links:
            new_url = link["href"]
            new_url_full = urlparse.urljoin(page_url, new_url)
            new_urls.add(new_url_full)

        return new_urls

    def _get_new_data(self, page_url, soup):
        res_data = {}

        res_data['url'] = page_url

        # <dd class="lemmaWgt-lemmaTitle-title"> <h1>Python</h1>
        title_node = soup.find('dd', class_="lemmaWgt-lemmaTitle-title").find('h1')
        res_data['title'] = title_node.get_text()

        # <div class="lemma-summary" label-module="lemmaSummary">
        summary_node = soup.find("div", class_="lemma-summary")
        res_data['summary'] = summary_node.get_text()

        return res_data
           

輸出子產品,負責把解析的網頁内容儲存起來。

#coding=utf-8

class HtmlOutputer(object):

    def __init__(self):
        self.datas = []

    def collect_data(self,data):
        if data is None:
            return

        self.datas.append(data)


    def outpute_html(self):
        fout = open("outputer.html",'w')
        fout.write("<html>")
        fout.write("<body>")
        fout.write("<table>")


        for data in self.datas:
            fout.write("<tr>")
            fout.write("<td>%s<td>" % data['url'])
            fout.write("<td>%s<td>" % data['title'].encode('utf-8'))
            fout.write("<td>%s<td>" % data['summary'].encode('utf-8'))
            fout.write("</tr>")

        fout.write("</html>")
        fout.write("</body>")
        fout.write("</table>")
           

最後是排程子產品,把各個子產品之間的功能排程起來

#coding:utf8
import url_manager
import html_downloader
import html_outputer
import html_parser

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()
    pass

    def craw(self, root_url):
        self.urls._add_new_url(root_url)

        count = 1;

        while self.urls.has_new_url():

            try:
                new_url = self.urls.get_new_url()
                print new_url

                #得到url的内容
                html_content = self.downloader.download(new_url)

                #得到url的内容和url
                new_urls,new_data = self.parser.parser(new_url,html_content)

                self.urls.add_new_urls(new_urls)

                self.outputer.collect_data(new_data)
            except:
                print "splider failed"

            if (count == 10):
                break

            count = count + 1;

        self.outputer.outpute_html()


if __name__ == "__main__":
    root_url = "https://baike.baidu.com/item/Python/407313"

    obj_splider = SpiderMain()
    obj_splider.craw(root_url)
           

工程目錄如下:

Python爬蟲,爬取百度百科詞條

源碼路徑如下,感興趣的朋友可以去下載下傳:

https://github.com/HelloKittyNII/Spider/tree/master/%E7%99%BE%E5%BA%A6%E7%99%BE%E7%A7%91%E7%88%AC%E8%99%AB/baike_spider