Python爬豆瓣電影實例
文件結(jié)構(gòu)

html_downloader.py - 下載網(wǎng)頁html內(nèi)容
#!/usr/bin/python
# -*- coding: UTF-8 -*-
import urllib2
class HtmlDownloader(object):
def downlod(self, url):
if url is None:
return None
response = urllib2.urlopen(url)
if response.getcode() != 200:
return None
return response.read()
html_outputer.py - 輸出結(jié)果到文件中
#!/usr/bin/python
# -*- coding: UTF-8 -*-
class HtmlOutputer(object):
def collect_data(self, movie_data):
if movie_data is None:
return
fout = open('output.html', 'a+')
for data in movie_data:
print data['name'] + '|', data['rate'] + '|', data['actor'], '\n'
fout.write('%s,' % data['name'].encode('utf-8'))
fout.write('%s,' % data['rate'])
fout.write('%s\n' % data['actor'].encode('utf-8'))
fout.close()
html_parser.py: 解析器:解析html的dom樹
#!/usr/bin/python
# -*- coding: UTF-8 -*-
from bs4 import BeautifulSoup
class HtmlParser(object):
def __init__(self):
pass
def parser_html(self, cnt):
if cnt is None:
return
soup = BeautifulSoup(cnt, 'html.parser', from_encoding='utf-8')
# movie_name, movie_desc, movie_rate =
return self.get_movie_names(soup)
def get_movie_names(self, soup):
movie_data = []
movie_all = soup.find('div', class_='article').find_next('table').find_next_sibling('div').find_next_sibling('div').find_all('table')
count = 1
for movie_one in movie_all:
movie_data.append(self.get_movie_name(movie_one))
# if count > 2:
# break
count += 1
return movie_data
def get_movie_name(self, cnt):
info = {}
soup = BeautifulSoup(str(cnt), 'html.parser', from_encoding='utf-8')
movie_one = soup.find('tr', class_='item').find_next('td').find_next_sibling('td').find('div', class_='pl2')
info['name'] = movie_one.find('a').get_text().replace("\n", "").replace(" ", "")
info['actor'] = movie_one.find('p', class_='pl').get_text().replace("\n", "").replace(" ", "")
info['rate'] = movie_one.find('div', class_='star clearfix').find('span', class_='rating_nums').get_text()
return info
spider_main.py - 主函數(shù)
#!/usr/bin/python
# -*- coding: UTF-8 -*-
import html_parser, html_outputer, html_downloader
class SpiderMain(object):
def __init__(self):
self.parser = html_parser.HtmlParser()
self.outputer = html_outputer.HtmlOutputer()
self.downloader = html_downloader.HtmlDownloader()
def craw(self, url):
html_cnt = self.downloader.downlod(url)
movie_data = self.parser.parser_html(html_cnt)
self.outputer.collect_data(movie_data)
if __name__ == '__main__':
url = 'https://movie.douban.com/tag/2017?start=100&type=T'
spider = SpiderMain()
spider.craw(url)
綜述
其實就是使用了urllib2和BeautifulSoup庫,沒啥好說的,你也可以直接改url,然后更改html_parser.py文件來滿足你自己的爬蟲需求。當前也可以更改html_outputer.py來定義保存格式,目前是csv。
相關(guān)文章
Pytorch自定義Dataset和DataLoader去除不存在和空數(shù)據(jù)的操作
這篇文章主要介紹了Pytorch自定義Dataset和DataLoader去除不存在和空數(shù)據(jù)的操作,具有很好的參考價值,希望對大家有所幫助。一起跟隨小編過來看看吧2021-03-03
詳解如何利用pandas進行數(shù)據(jù)行轉(zhuǎn)列和列轉(zhuǎn)行
這篇文章主要為大家詳細介紹了如何利用pandas進行數(shù)據(jù)行轉(zhuǎn)列和列轉(zhuǎn)行,文中的示例代碼講解詳細,感興趣的小伙伴可以跟隨小編一起學習一下2007-02-02
Python實現(xiàn)數(shù)據(jù)清洗的示例詳解
這篇文章主要通過五個示例帶大家深入了解下Python實現(xiàn)數(shù)據(jù)清洗的具體方法,文中的示例代碼講解詳細,對我們學習Python有一定幫助,需要的可以參考一下2022-08-08

