爬虫效率怎么提高，怎么完成企业需求，真正体验到企业级数据下载！

Posted 2022-04-14 普通网友

python爬虫进阶：Q队列多任务批量下载斗图吧

• 前言
• 目标站点
• 开发环境
• 效果预览
• 正式教程
• • 创建队列
  • 提交页数url到page队列
  • 创建解析网页类
  • 创建保存图片类
  • 启动线程
• 完整代码

前言

本文纯技术角度出发，教你如何用Python爬虫获取企业级数据下载。

主要内容：

1.Q队列储存数据信息
2.py多任务批量下载
3.低耦合类方式下载

目标站点

百度搜索斗图啦，斗图道路从此不会再迷茫。

https://www.doutula.com/

开发环境

开发环境：Python3.7 + win10

开发工具：pycharm + chrome

第三方库：requests，lxml ， re，Queue，threading

效果预览

网页效果图：

代码爬取效果：

正式教程

创建队列

创建两个队列：

page_queue用来保存翻页的url
img_queue 用来保存图片的链接
page_queue = Queue()
img_queue = Queue()

提交页数url到page队列

将翻页的数据保存到page队列里 ：

for x in range(1, 11):
    url = 'https://www.doutula.com/search?type=photo&more=1&keyword=%E7%A8%8B%E5%BA%8F%E5%91%98&page='.format(x)
    page_queue.put(url)

创建解析网页类

基于类的方式封装线程：

通过获取的页数的url 解析当前网页的图片链接，保存到img队列

class ImageParse(threading.Thread):
    def __init__(self, page_queue, img_queue):
        super(ImageParse, self).__init__()  # 子类继承了父类的所有属性和方法，父类方法进行初始化。
        self.page_queue = page_queue
        self.img_queue = img_queue
        self.headers = 
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (Khtml, like Gecko) Chrome/87.0.4280.88 Safari/537.36'
    

    def run(self):
        while True:
            if self.page_queue.empty():
                break
            url = self.page_queue.get()
            self.parse_page(url)

    def parse_page(self, url):
        response = requests.get(url, headers=self.headers).text
        # print(response)
        html = etree.HTML(response)
        images = html.xpath('//div[@class="random_picture"]')
        for img in images:
            img_url = img.xpath('.//img/@data-original')
            # 获取图片名字
            print(img_url)
            alt = img.xpath('.//p/text()')
            for name, new_url in zip(alt, img_url):
                filename = re.sub(r'[?？.，。！!*\\\\/|]', '', name) + ".jpg"
                # 获取图片的后缀名
                # suffix = os.path.splitext(img_url)[1]
                # print(alt)
                self.img_queue.put((new_url, filename))

创建保存图片类

获取img队列里的数据

保存到当前文件：

class Download(threading.Thread):
    def __init__(self, page_queue, img_queue):
        super(Download, self).__init__()
        self.page_queue = page_queue
        self.img_queue = img_queue

    def run(self):
        while True:
            if self.img_queue.empty() and self.page_queue.empty():
                break
            img_url, filename = self.img_queue.get()
            with open("表情包/" + filename, "wb")as f:
                response = requests.get(img_url).content
                f.write(response)
                print(filename + '下载完成')

启动线程

开启多线程：

for x in range(1, 11):
    url = 'https://www.doutula.com/search?type=photo&more=1&keyword=%E7%A8%8B%E5%BA%8F%E5%91%98&page='.format(x)
    page_queue.put(url)

for x in range(5):
    t = ImageParse(page_queue, img_queue)
    t.start()
    t = Download(page_queue, img_queue)
    t.start()

完整代码

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time    : 2020/12/17 13:20
# @Author  : BaiChuan
# @File    : 斗图.py


import requests
from lxml import etree
import re
from queue import Queue
import threading


class ImageParse(threading.Thread):
    def __init__(self, page_queue, img_queue):
        super(ImageParse, self).__init__()  # 子类继承了父类的所有属性和方法，父类方法进行初始化。
        self.page_queue = page_queue
        self.img_queue = img_queue
        self.headers = 
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Safari/537.36'
    

    def run(self):
        while True:
            if self.page_queue.empty():
                break
            url = self.page_queue.get()
            self.parse_page(url)

    def parse_page(self, url):
        response = requests.get(url, headers=self.headers).text
        # print(response)
        html = etree.HTML(response)
        images = html.xpath('//div[@class="random_picture"]')
        for img in images:
            img_url = img.xpath('.//img/@data-original')
            # 获取图片名字
            print(img_url)
            alt = img.xpath('.//p/text()')
            for name, new_url in zip(alt, img_url):
                filename = re.sub(r'[?？.，。！!*\\\\/|]', '', name) + ".jpg"
                # 获取图片的后缀名
                # suffix = os.path.splitext(img_url)[1]
                # print(alt)
                self.img_queue.put((new_url, filename))


class Download(threading.Thread):
    def __init__(self, page_queue, img_queue):
        super(Download, self).__init__()
        self.page_queue = page_queue
        self.img_queue = img_queue

    def run(self):
        while True:
            if self.img_queue.empty() and self.page_queue.empty():
                break
            img_url, filename = self.img_queue.get()
            with open("表情包/" + filename, "wb")as f:
                response = requests.get(img_url).content
                f.write(response)
                print(filename + '下载完成')


def main():
    # 建立队列
    page_queue = Queue()
    img_queue = Queue()
    for x in range(1, 11):
        url = 'https://www.doutula.com/search?type=photo&more=1&keyword=%E7%A8%8B%E5%BA%8F%E5%91%98&page='.format(x)
        page_queue.put(url)

    for x in range(5):
        t = ImageParse(page_queue, img_queue)
        t.start()
        t = Download(page_queue, img_queue)
        t.start()


if __name__ == '__main__':
    main()