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Python實現爬蟲從網絡上下載文檔

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最近在學習Python,自然接觸到了爬蟲,寫了一個小型爬蟲軟件,從初始Url解析網頁,使用正則獲取待爬取鏈接,使用beautifulsoup解析獲取文本,使用自己寫的輸出器可以將文本輸出保存,具體代碼如下:

Spider_main.py

# coding:utf8
from baike_spider 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 self.urls.add_new_url(root_url) while self.urls.has_new_url(): print("self.urls.has %s" % self.urls.new_urls)
try: new_url = self.urls.get_new_url() print("craw %d : %s"%(count, new_url)) html_cont = self.downloader.download(new_url) new_urls, new_data = self.parser.parse(new_url, html_cont) self.urls.add_new_urls(new_urls) self.outputer.collect_data(new_data)
if count == 1000: break count = count + 1 except: print("craw failed") self.outputer.output_html() self.outputer.output_txt() if __name__ == __main__: root_url = "http://www.shushu8.com/jiangnan/longzu2qianzhuan/1" obj_spider = SpiderMain() obj_spider.craw(root_url)

url_manager.py

class UrlManager(object):
    def __init__(self):
        self.new_urls = set()
        self.old_urls = set()

    def add_new_url(self, url):
        print(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 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)
        # print(‘new url is %s‘ % new_url)
        return new_url

    def add_new_urls(self, urls):
        print("add_new_urls %s" % urls)
        if urls is None or len(urls) == 0:
            return
        for url in urls:
            self.add_new_url(url)
            print(url)

html_parser.py

import re
import urllib.parse
from bs4 import BeautifulSoup


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)
        print("parse new_urls %s" % new_urls)
        new_data = self._get_new_data(page_url, soup)
        return new_urls, new_data

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

        res_data[url] = page_url
        print(page_url)

        title_node = soup.find(class_="title").find("h1")
        print(title_node.get_text())
        res_data[title] = title_node.get_text()

        print("_get_new_data")

        summary_node = soup.find(pre)
        print(summary_node.get_text())
        res_data[summary] = summary_node.get_text()


        return res_data

    def _get_new_urls(self, page_url, soup):
        new_urls = set()
        links = soup.find_all(a, href=re.compile(r"/jiangnan/"))
        print(links)
        for link in links:
            new_url = link[href]
            new_full_url = urllib.parse.urljoin(page_url, new_url)
            new_urls.add(new_full_url)
            # print(new_full_url)
        return new_urls

html_downloader.py

import urllib.request


class HtmlDownloader(object):

    def download(self, url):
        if url is None:
            return None
        response = urllib.request.urlopen(url)
        if response.getcode() != 200:
            return None

        return response.read()

html_outputer.py

class HtmlOutputer(object):
    def __init__(self):
        self.datas = []

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

    def output_txt(self):
        fout = open(output.txt, w, encoding=utf-8)
        for data in self.datas:
            fout.write(%s \n % data[title])
            fout.write(%s \n % data[summary])

    def output_html(self):
        fout = open(output.html, w, encoding=utf-8)
        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])
            fout.write(<td>%s</td> % data[summary])
            fout.write(</tr>)

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

        fout.close()

Python實現爬蟲從網絡上下載文檔