多种方法爬取猫眼电影Top100排行榜,保存到csv文件,下载封面图

参考链接:

https://blog.csdn.net/BF02jgtRS00XKtCx/article/details/83663400

https://www.makcyun.top/web_scraping_withpython1.html

因猫眼网站有些更新,参考链接中的部分代码执行报错,特修改一下

 

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import csv
import re
from multiprocessing.pool import Pool

import requests
from bs4 import BeautifulSoup
from lxml import etree
from requests.exceptions import RequestException


def get_one_page(url):
    try:
        headers = {
            'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:60.0) Gecko/20100101 Firefox/60.0'
        }
        response = requests.get(url, headers=headers)
        if response.status_code == 200:
            return response.text
        else:
            return None
    except RequestException:
        return None


# 获取封面大图
def get_thumb(url):
    # url = 'https://p0.meituan.net/movie/46c29a8b8d8424bdda7715e6fd779c66235684.jpg@160w_220h_1e_1c'
    pattern = re.compile(r'(.*?)@.*?')
    thumb = re.search(pattern, url)
    return thumb.group(1)
    # http://p0.meituan.net/movie/5420be40e3b755ffe04779b9b199e935256906.jpg@160w_220h_1e_1c
    # 去掉@160w_220h_1e_1c就是大图


# 提取上映时间函数
def get_release_time(data):
    pattern = re.compile(r'(.*?)(\(|$)')
    items = re.search(pattern, data)
    if items is None:
        return '未知'
    return items.group(1)  # 返回匹配到的第一个括号(.*?)中结果即时间


# 提取国家/地区函数
def get_release_area(data):
    pattern = re.compile(r'.*\((.*)\)')
    # $表示匹配一行字符串的结尾,这里就是(.*?);(|$,表示匹配字符串含有(,或者只有(.*?)
    items = re.search(pattern, data)
    if items is None:
        return '未知'
    return items.group(1)


# 使用正则表达式的写法
def parse_one_page(html):
    pattern = re.compile(
        '
.*?board-index.*?>(\d+).*?data-src="(.*?)".*?name">(.*?).*?star">(.*?)

.*?releasetime">(.*?)(.*?).*?fraction">(.*?).*?
', re.S) # re.S表示匹配任意字符,如果不加,则无法匹配换行符 items = re.findall(pattern, html) for item in items: yield { 'index': item[0], 'thumb': get_thumb(item[1]), # 定义get_thumb()方法进一步处理网址 'name': item[2], 'star': item[3].strip()[3:], # 'time': item[4].strip()[5:], # 用一个方法分别提取time里的日期和地区 'time': get_release_time(item[4].strip()[5:]), 'area': get_release_area(item[4].strip()[5:]), 'score': item[5].strip() + item[6].strip() # 评分score由整数+小数两部分组成 } # lxml结合xpath提取 def parse_one_page2(html): parse = etree.HTML(html) items = parse.xpath('/html/body/div[4]//div//dd') for item in items: yield { 'index': item.xpath('./i/text()')[0], 'thumb': get_thumb(str(item.xpath('./a/img[2]/@data-src')[0].strip())), 'name': item.xpath('./div/div/div[1]/p[1]/a/@title')[0], 'star': item.xpath('.//p[@class="star"]/text()')[0].strip()[3:], 'realease_time': get_release_time(item.xpath('.//p[@class="releasetime"]/text()')[0].strip()[5:]), 'area': get_release_area(item.xpath('.//p[@class="releasetime"]/text()')[0].strip()[5:]), 'score': item.xpath('./div/div/div[2]/p/i[1]/text()')[0] + item.xpath('./div/div/div[2]/p/i[2]/text()')[0], } # 使用BeautifulSoup结合css选择器 def parse_one_page3(html): soup = BeautifulSoup(html, 'lxml') items = range(10) for item in items: yield { 'index': soup.select('i.board-index')[item].string, 'thumb': get_thumb(soup.select('.board-img')[item]['data-src']), 'name': soup.select('.name a')[item].string, 'star': soup.select('.star')[item].string.strip()[3:], 'time': get_release_time(soup.select('.releasetime')[item].string.strip()[5:]), 'area': get_release_area(soup.select('.releasetime')[item].string.strip()[5:]), 'score': soup.select('.integer')[item].string + soup.select('.fraction')[item].string } # Beautiful Soup + find_all函数提取 def parse_one_page4(html): soup = BeautifulSoup(html, 'lxml') items = range(10) for item in items: yield { 'index': soup.find_all(class_='board-index')[item].string, 'thumb': get_thumb(soup.find_all(class_='board-img')[item].attrs['data-src']), 'name': soup.find_all(name='p', attrs={'class': 'name'})[item].string, 'star': soup.find_all(name='p', attrs={'class': 'star'})[item].string.strip()[3:], 'time': get_release_time(soup.find_all(class_='releasetime')[item].string.strip()[5:]), 'area': get_release_area(soup.find_all(class_='releasetime')[item].string.strip()[5:]), 'score': soup.find_all(name='i', attrs={'class': 'integer'})[item].string + soup.find_all(name='i', attrs={'class': 'fraction'})[item].string } # 数据存储到csv def write_to_file3(item): with open('猫眼top100.csv', 'a', encoding='utf_8_sig', newline='') as f: # 'a'为追加模式(添加) # utf_8_sig格式导出csv不乱码 fieldnames = ['index', 'thumb', 'name', 'star', 'time', 'area', 'score'] w = csv.DictWriter(f, fieldnames=fieldnames) # w.writeheader() w.writerow(item) # 下载封面图片 def download_thumb(name, url, num): try: response = requests.get(url) with open('封面图/' + name + '.jpg', 'wb') as f: f.write(response.content) print('第%s部电影封面下载完毕' % num) print('------') except RequestException as e: print(e) pass # 不能是w,否则会报错,因为图片是二进制数据所以要用wb def main(offset): url = 'http://maoyan.com/board/4?offset=' + str(offset) html = get_one_page(url) for item in parse_one_page4(html): write_to_file3(item) download_thumb(item['name'], item['thumb'], item['index']) if __name__ == '__main__': pool = Pool() pool.map(main, [i * 10 for i in range(10)])

 

转载于:https://www.cnblogs.com/sanduzxcvbnm/p/10246159.html

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