python爬虫（一）爬取豆瓣电影排名前50名电影的信息

python爬虫（一）爬取豆瓣电影排名前50名电影的信息

在Python爬虫中，我们可以使用beautifulsoup对网页进行解析。
我们可以使用它来爬取豆瓣电影排名前50名的电影的详细信息，例如排名，电影名，导演，上映年份，电影分类，评分等等。。
这里面的就还需要正则表达式来进行进一步解析，因为有的信息通过beautifulsoup解析出来的是一串字符串，我们还需要使用正则表达式进行进一步的解析。
主要功能为：获取豆瓣TOP250电影的中英文名、港台名、导演、上映年份、电影分类以及评分，将数据存入文档。
代码如下:

import re
import requests
from bs4 import BeautifulSoup


for i in range(0,2):
    headers = {
        'user-agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.82 Safari/537.36',
        'Host': 'movie.douban.com'
    }

    link = 'https://movie.douban.com/top250?start='+str(25*i)

    r = requests.get(link, headers=headers, timeout=10)

    soup = BeautifulSoup(r.text, "lxml")
    div_list = soup.find_all('div', class_='item')
    # print(div_list)
    movies = []
    for each in div_list:
        movie = {}
        moviename = each.find('div', class_='hd').a.span.text.strip()
        movie['title'] = moviename
        rank = each.find('div', class_='pic').em.text.strip()
        movie['rank'] = rank
        info = each.find('div', class_='bd').p.text.strip()
        info = info.replace('\n', "")
        info = info.replace(" ", "")
        info = info.replace("\xa0", "")
        director = re.findall(r'[导演:].+[主演:]', info)[0]
        director = director[3:len(director) - 6]
        movie['director'] = director
        release_date = re.findall(r'[0-9]{4}', info)[0]
        movie['release_date'] = release_date
        plot = re.findall(r'[0-9]*[/].+[/].+', info)[0]
        plot = plot[1:]
        plot = plot[plot.index('/') + 1:]
        plot = plot[plot.index('/') + 1:]
        movie['plot'] = plot
        star = each.find('div', class_='star')
        star = star.find('span', class_='rating_num').text.strip()
        movie['star'] = star
        movies.append(movie)
        print(movie)

如果我们想将输出保存进文件中，我们可以再代码中加入

mylog = open('/Users/qiguan/douban.txt',mode='a',encoding='utf-8')

再将最后一行的print变为

print(movie,file=mylog)

写入文件的代码为：

import re
import requests
from bs4 import BeautifulSoup

# 文件路径
mylog = open('/Users/qiguan/douban.txt',mode='a',encoding='utf-8')

for i in range(0,2):
    headers = {
        'user-agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.82 Safari/537.36',
        'Host': 'movie.douban.com'
    }

    link = 'https://movie.douban.com/top250?start='+str(25*i)

    r = requests.get(link, headers=headers, timeout=10)

    soup = BeautifulSoup(r.text, "lxml")
    div_list = soup.find_all('div', class_='item')
    # print(div_list)
    movies = []
    for each in div_list:
        movie = {}
        moviename = each.find('div', class_='hd').a.span.text.strip()
        movie['title'] = moviename
        rank = each.find('div', class_='pic').em.text.strip()
        movie['rank'] = rank
        info = each.find('div', class_='bd').p.text.strip()
        info = info.replace('\n', "")
        info = info.replace(" ", "")
        info = info.replace("\xa0", "")
        director = re.findall(r'[导演:].+[主演:]', info)[0]
        director = director[3:len(director) - 6]
        movie['director'] = director
        release_date = re.findall(r'[0-9]{4}', info)[0]
        movie['release_date'] = release_date
        plot = re.findall(r'[0-9]*[/].+[/].+', info)[0]
        plot = plot[1:]
        plot = plot[plot.index('/') + 1:]
        plot = plot[plot.index('/') + 1:]
        movie['plot'] = plot
        star = each.find('div', class_='star')
        star = star.find('span', class_='rating_num').text.strip()
        movie['star'] = star
        movies.append(movie)
        print(movie,file=mylog)