基于python实现垂直爬虫系统的方法详解

html_downloader

from urllib import request
def download(url):
    if url is None:
        return
    response = request.urlopen(url)
    if response.getcode() != 200:
        return None
    return response.read()

html_outeputer

data_list = []
def collect_data(data):
    data_list.append(data)
def output_html():
    fout = open('output.html', 'w')
    fout.write('')
    fout.write('')
    fout.write('')
    for dataitem in data_list:
        fout.write('')
        fout.write('' % dataitem['url'])
        fout.write('' % dataitem['title'])
        fout.write('' % dataitem['datetime'])
        fout.write('' % dataitem['visitcount'])
        fout.write('')
    fout.write('
%s
%s
%s
%s
')
    fout.write('')
    fout.write('')
    fout.close()

html_parser

import re
from bs4 import BeautifulSoup
from urllib.parse import urljoin
def get_new_urls(page_url, soup):
    new_urls = set()
    links = soup.find_all('a', href=re.compile(r"/\d+/\d+/\w+/page\.htm"))
    for link in links:
        new_url = link['href']
        new_full_url = urljoin(page_url, new_url)
        new_urls.add(new_full_url)
    return new_urls
def get_new_data(page_url, soup):
    res_data = {}
    title_node = soup.find('h1', class_='arti-title')
    if title_node is None:
        return res_data
    res_data['title'] = title_node.get_text()
    datetime_node = soup.find('span', class_='arti-update')
    res_data['datetime'] = datetime_node.get_text()
    visitcount_node = soup.find('span', class_='WP_VisitCount')
    res_data['visitcount'] = visitcount_node.get_text()
    res_data['url'] = page_url
    return res_data
def parse(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 = get_new_urls(page_url, soup)
    new_data = get_new_data(page_url, soup)
    return new_urls, new_data

spider_main

import urls_manager, html_downloader, \
    html_parser, html_outputer
def craw(root_url):
    count = 1
    urls_manager.add_new_url(root_url)
    #启动爬虫循环
    while urls_manager.has_new_url():
        new_url = urls_manager.get_new_url()
        print('craw %d : %s' % (count, new_url))
        html_cont = html_downloader.download(new_url)
        new_urls, new_data = html_parser.parse(new_url, html_cont)
        urls_manager.add_new_urls(new_urls)
        if new_data:
            html_outputer.collect_data(new_data)
        if count == 10:
            break
        count = count + 1
    html_outputer.output_html()

if __name__ == '__main__':
    root_url = 'http://news.zzuli.edu.cn/'
    craw(root_url)
import urls_manager, html_downloader, \
    html_parser, html_outputer
def craw(root_url):
    count = 1
    urls_manager.add_new_url(root_url)
    #启动爬虫循环
    while urls_manager.has_new_url():
        new_url = urls_manager.get_new_url()
        print('craw %d : %s' % (count, new_url))
        html_cont = html_downloader.download(new_url)
        new_urls, new_data = html_parser.parse(new_url, html_cont)
        urls_manager.add_new_urls(new_urls)
        if new_data:
            html_outputer.collect_data(new_data)
        if count == 10:
            break
        count = count + 1
    html_outputer.output_html()

if __name__ == '__main__':
    root_url = 'http://news.zzuli.edu.cn/'
    craw(root_url)

test_64

from bs4 import BeautifulSoup
import re
html_doc = """


The Dormouse's story
Once upon a time there were three little sisters; and their names were
Elsie,
Lacie and
Tillie;
and they lived at the bottom of a well.
...
"""
soup = BeautifulSoup(html_doc, 'html.parser')
print('获取所有链接')
links = soup.find_all('a')
for link in links:
    print(link.name, link['href'], link.get_text())
print('获取lacie链接')
link_node = soup.find('a', href='http://example.com/lacie')
print(link_node.name, link_node['href'], link_node.get_text())
print('正则匹配')
link_node = soup.find('a', href=re.compile(r'ill'))
print(link_node.name, link_node['href'], link_node.get_text())
print('获取P段落文字')
p_node = soup.find('p', class_='title')
print(p_node.name, p_node.get_text())

urls_manager

new_urls = set()
old_urls = set()
def add_new_url(url):
    if url is None:
        return
    if url not in new_urls and url not in old_urls:
        new_urls.add(url)
def add_new_urls(urls):
    if urls is None or len(urls) == 0:
        return
    for url in urls:
        add_new_url(url)
def get_new_url():
    new_url = new_urls.pop()
    old_urls.add(new_url)
    return new_url
def has_new_url():
    return len(new_urls) != 0

总结

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