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2024-11(3)

python多进程爬取糗事百科图片

发布于2019-08-06 09:42 阅读(678) 评论(0) 点赞(5) 收藏(0)

用到的库；

import requests
import os
from bs4 import BeautifulSoup
import time
from multiprocessing import Pool

定义图片存储路径；

path = r'E:\爬虫\0805\\'

请求头，模拟浏览器请求；

在浏览器中的位置，按f12打开开发者模式；

headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/65.0.3325.181 Safari/537.36'
}

主函数；

def get_images(url):
    data = 'https:'
    res = requests.get(url,headers=headers)
    soup = BeautifulSoup(res.text,'lxml')
    url_infos = soup.select('div.thumb > a > img')
    # print(url_infos)
    for url_info in url_infos:
        try:
            urls = data+url_info.get('src')
            if os.path.exists(path+urls.split('/')[-1]):
                print('图片已下载')
            else:
                image = requests.get(urls,headers=headers)
                with open(path+urls.split('/')[-1],'wb') as fp:
                    fp.write(image.content)
                print('正在下载：'+urls)
                time.sleep(0.5)
        except Exception as e:
            print(e)

开始爬虫程序；

if __name__ == '__main__':
    # 路由列表
    urls = ['https://www.qiushibaike.com/imgrank/page/{}/'.format(i) for i in range(1,14)]
    # 开启多进程爬取
    pool = Pool()
    pool.map(get_images,urls)
    print('抓取完毕')

爬取中；

打开文件夹查看爬取结果；

done

完整代码；

import requests
import os
from bs4 import BeautifulSoup
import time
from multiprocessing import Pool
"""
************常用爬虫库***********
       requests
       BeautifulSoup
       pyquery 
       lxml
************爬虫框架***********
       scrapy
       三大解析方式：re,css,xpath
"""
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/65.0.3325.181 Safari/537.36'
}
path = r'E:\爬虫\0805\\'
def get_images(url):
    data = 'https:'
    res = requests.get(url,headers=headers)
    soup = BeautifulSoup(res.text,'lxml')
    url_infos = soup.select('div.thumb > a > img')
    # print(url_infos)
    for url_info in url_infos:
        try:
            urls = data+url_info.get('src')
            if os.path.exists(path+urls.split('/')[-1]):
                print('图片已下载')
            else:
                image = requests.get(urls,headers=headers)
                with open(path+urls.split('/')[-1],'wb') as fp:
                    fp.write(image.content)
                print('正在下载：'+urls)
                time.sleep(0.5)
        except Exception as e:
            print(e)

if __name__ == '__main__':
    # 路由列表
    urls = ['https://www.qiushibaike.com/imgrank/page/{}/'.format(i) for i in range(1,14)]
    # 开启多进程爬取
    pool = Pool()
    pool.map(get_images,urls)
    print('抓取完毕')