Python爬虫实战:从URL解析到文档下载的完整实现

Chloe
Chloe
发布时间:2026-10-13 | 6人浏览过
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本文介绍了一个基于Python的小型爬虫系统实现,涵盖URL管理、HTML下载、解析及输出模块。通过正则表达式提取链接,利用BeautifulSoup解析文本内容,并支持将抓取结果保存为HTML表格或TXT文件。代码展示了从初始URL到批量文档下载的全流程,适合Python初学者理解爬虫架构与核心逻辑。

近期在深入研习Python语言的过程中,不可避免地接触到了网络爬虫技术。为此,我编写了一个轻量级的爬虫程序,旨在从指定的初始URL出发解析网页,利用正则表达式提取待爬取的链接,并通过BeautifulSoup库解析获取文本内容。此外,还实现了一个自定义的输出器模块,用于将抓取到的文本数据进行保存。具体的代码实现如下所示:

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()

总结

上述内容即为通过Python实现从网络下载文档的爬虫实例代码,希望能对各位读者有所助益。若在使用过程中遇到任何疑问,欢迎随时留言,小编会尽快给予回复。同时,非常感谢大家对本网站的支持!

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