Python数据分析之猫眼电影TOP100

罗罗攀

发布于 2018-12-26 14:50:32

1.1K0

发布于 2018-12-26 14:50:32

前言

如果大家经常阅读Python爬虫相关的公众号，都会是以爬虫+数据分析的形式展现的，这样很有趣，图表也很不错，今天了，我就来分享上一次在培训中的一个作品：猫眼电影爬虫及分析。通过猫眼电影TOP100榜的爬虫，然后进行可视化，让学员体会到，小数据爬虫也能玩出这样的花样来。

爬虫

爬虫分析

这里是获取的是top100的电影数据，进行了跨页爬虫，获取的字段：电影名，主演，上映时间，评分，电影类型和时长。最后保存在csv文件中。

爬虫代码

import requests
from lxml import etree
import csv


headers = {
    'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.106 Safari/537.36'
}

def get_url(url):
    res = requests.get(url,headers=headers)
    html = etree.HTML(res.text)
    infos = html.xpath('//dl[@class="board-wrapper"]/dd')
    for info in infos:
        name = info.xpath('div/div/div[1]/p[1]/a/text()')[0]
        info_url = 'http://maoyan.com' + info.xpath('div/div/div[1]/p[1]/a/@href')[0]
        star = info.xpath('div/div/div[1]/p[2]/text()')[0].strip()
        release_time = info.xpath('div/div/div[1]/p[3]/text()')[0].strip()
        score_1 = info.xpath('div/div/div[2]/p/i[1]/text()')[0]
        score_2 = info.xpath('div/div/div[2]/p/i[2]/text()')[0]
        score = score_1 + score_2
        # print(name,star,release_time,score,info_url)
        get_info(info_url,name,star,release_time,score)

def get_info(url,name,star,time,score):
    res = requests.get(url, headers=headers)
    html = etree.HTML(res.text)
    style = html.xpath('/html/body/div[3]/div/div[2]/div[1]/ul/li[1]/text()')[0]
    long_time = html.xpath('/html/body/div[3]/div/div[2]/div[1]/ul/li[2]/text()')[0].split('/')[1].strip()
    print(name,star,time,score,style,long_time)
    writer.writerow([name,star,time,score,style,long_time])

if __name__ == '__main__':
    fp = open('maoyan_2.csv','w',encoding='utf-8',newline='')
    writer = csv.writer(fp)
    writer.writerow(['name','star','time','score','style','long_time'])
    urls = ['http://maoyan.com/board/4?offset={}'.format(str(i)) for i in range(0, 100, 10)]
    for url in urls:
        get_url(url)