豆瓣电影Top250爬取及封面图片下载

分析网页

通过浏览器查看网页源代码，可以找到相应的电影信息以及图片链接，可知目标网页为静态网页，因此可以直接爬取。

源码

爬取思路

1. 通过urllib.request获取网页源码
2. 用BeautifulSoup解析网页源码，使用find_all方法筛选出电影信息节点和图片链接节点
3. 将筛选出的电影信息以及图片链接写入Excel表
4. 使用urllib.request的urlretrieve方法下载封面图片

代码实现

1. 通过urllib.request获取网页源码

def get_source(url):
    content = urllib.request.urlopen(url)
    source = content.read().decode('utf-8')
    return source

2. 用BeautifulSoup解析网页源码，使用find_all方法筛选出电影信息和图片链接

def get_movielist(source):
    movielist = []
    soup = BeautifulSoup(source, 'html.parser')
    info = soup.find_all('div', class_="item")
    for j, i in enumerate(info):
        name = i.div.img['alt']
        img = i.div.img['src']
        score = i.find_all('span', class_="rating_num")[0].get_text()
        if i.find_all(class_="inq"):
            remark = i.find_all(class_="inq")[0].get_text()
        else:
            remark = None
        movielist.append([name, img, score, remark])
    return movielist

3. 将筛选出的电影信息以及图片链接写入Excel表

def excel(ws, movlist):
    global index
    style = xlwt.XFStyle()
    font = xlwt.Font()
    font.name = '黑体'
    font.bold = True
    style.font = font
    headdata = ['电影名称', '电影封面', '豆瓣评分', '经典评语']
    for i in range(4):
        ws.write(0, i, headdata[i], style)
    for i in movlist:
        for j in range(4):
            ws.write(index, j, i[j])
        index += 1

4. 使用urllib.request的urlretrieve方法下载封面图片

def img_download(movieslist):
    for i in movieslist:
        urllib.request.urlretrieve(i[1], 'd:/pic/{}.jpg'.format(i[0]))

5. 爬取源码

# !/usr/bin/env python3.6
# coding:utf-8
# @Author : Natsume
# @Filename : douban.py
'''
@Description:
豆瓣电影Top250及封面图片下载爬虫，修改URL的start参数可以指定爬取某一页的电影信息
'''
import urllib.request
from bs4 import BeautifulSoup
import xlwt

# 获取网页源码
def get_source(url):
    content = urllib.request.urlopen(url)
    source = content.read().decode('utf-8')
    return source

# 使用BeautifulSoup解析网页，通过find_all方法获取电影信息及图片链接
def get_movielist(source):
    movielist = []
    soup = BeautifulSoup(source, 'html.parser')
    info = soup.find_all('div', class_="item")
    for i in info:
        name = i.div.img['alt']
        img = i.div.img['src']
        score = i.find_all('span', class_="rating_num")[0].get_text()
        if i.find_all(class_="inq"):
            remark = i.find_all(class_="inq")[0].get_text()
        else:
            remark = None
        movielist.append([name, img, score, remark])
    return movielist

# 将爬取的电影信息及图片链接写入Excel表
def excel(ws, movlist):
    global index
    style = xlwt.XFStyle()
    font = xlwt.Font()
    font.name = '黑体'
    font.bold = True
    style.font = font
    headdata = ['电影名称', '电影封面', '豆瓣评分', '经典评语']
    for i in range(4):
        ws.write(0, i, headdata[i], style)
    for i in movlist:
        for j in range(4):
            ws.write(index, j, i[j])
        index += 1

# 根据爬取的图片链接下载封面图片
def img_download(movieslist):
    for i in movieslist:
        urllib.request.urlretrieve(i[1], 'd:/pic/{}.jpg'.format(i[0]))

# 爬虫执行入口
if __name__ == '__main__':
    index = 1
    wb = xlwt.Workbook()
    wsheet = wb.add_sheet('movie', cell_overwrite_ok=True)
    for x in range(10):
        print('正在爬取第%s页' % (x + 1))
        source = get_source('https://movie.douban.com/top250?start={}'\ 
                            '&filter='.format(x*25))
        movieslist = get_movielist(source)
        excel(wsheet, movieslist)
        print('正在下载第{}页'.format(x+1))
        img_download(movieslist)
    savepath = 'd:/python/豆瓣top250.xls'
    wb.save(savepath)

爬取结果

Top250 封面图片