Python爬虫实战第二例【二】

零.前言：

本文章借鉴：Python爬虫实战（五）：根据关键字爬取某度图片批量下载到本地（附上完整源码）_python爬虫下载图片-CSDN博客

大佬的文章里面有API的获取，在这里我就不赘述了。

一.实战目标：

对百度的图片进行爬取，利用代理IP实现批量下载。

二.实现效果：

实现批量下载指定内容的图片，存放到指定文件夹中：

三.代码实现

3.1分析网页

右键网页，点击检查，进入我们的Google开发者工具。

筛选出我们需要的文件（通过查找载荷寻找）

接下来，只需要构建我们的载荷：

3.2获取图片的URL链接

def get_img_url(keyword):#接口连接url = "https://image.baidu.com/search/acjson"#请求头header = {"User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36"}#params参数params = {"tn": "resultjson_com","logid": "7831763171415538646","ipn": "rj","ct": "201326592","is":"","fp":"result","fr":"","word":f"{keyword}","queryWord":f"{keyword}","cl":"2","lm":"-1","ie":"utf - 8","oe":"utf - 8","adpicid":"","st":"","z":"","ic":"","hd":"","latest":"","copyright":"","s":"","se":"","tab":"","width":"","height":"","face":"","istype":"","qc":"","nc":"1","expermode":"","nojc":"","isAsync":"","pn":"1","rn":"100","gsm":"78","1709030173834":""}#创建get请求r = requests.get(url=url,params=params,headers=header)#切换编码格式r.encoding = "utf-8"json_dict = r.json()#定位数据data_list = json_dict["data"]#存储链接url_list = []#循环取链接for i in data_list:if i:u = i["thumbURL"]url_list.append(u)return url_list

结果：

3.3实现代理

def get_ip():#代理APIurl = "你的代理API"while 1:try:r = requests.get(url,timeout=10)except:continueip = r.text.strip()if "请求过于频繁" in ip:print("IP请求频繁")time.sleep(1)continuebreakproxies = {"https": f"{ip}"}return proxies

效果：

3.4实现爬虫

def get_down_img(img_url_list):#创建文件夹if not os.path.isdir("鞠婧祎"):os.mkdir("鞠婧祎")#定义图片编号n = 0header = {"User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36"}times = 0while times < len(img_url_list):#获取代理IPproxies = get_ip()try:img_data = requests.get(url=img_url_list[times],headers=header,proxies=proxies,timeout=2)except Exception as e:print(e)continue#拼接图片存放地址和名字img_path = "鞠婧祎/" + str(n) + ".jpg"#写入图片with open(img_path,"wb") as f:f.write(img_data.content)n = n + 1times += 1

四、优化

上面基本实现了批量爬取图片的目的，但是在实际使用中可能会因为代理IP的质量问题，网络问题，导致爬取效率低下，在这里作者给出几点优化的空间：

1.设置timeout超时时间（秒/S）

2.使用requests.sessions类，构建一个sessions对象，设置连接重试次数。

3.使用多线程，分批爬取

具体实现，可以等作者后面慢慢更新，挖个大坑，记得催更。。。

五、全部代码

import requests
import time
import  osdef get_img_url(keyword):#接口连接url = "https://image.baidu.com/search/acjson"#请求头header = {"User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36"}#params参数params = {"tn": "resultjson_com","logid": "7831763171415538646","ipn": "rj","ct": "201326592","is":"","fp":"result","fr":"","word":f"{keyword}","queryWord":f"{keyword}","cl":"2","lm":"-1","ie":"utf - 8","oe":"utf - 8","adpicid":"","st":"","z":"","ic":"","hd":"","latest":"","copyright":"","s":"","se":"","tab":"","width":"","height":"","face":"","istype":"","qc":"","nc":"1","expermode":"","nojc":"","isAsync":"","pn":"1","rn":"100","gsm":"78","1709030173834":""}#创建get请求r = requests.get(url=url,params=params,headers=header)#切换编码格式r.encoding = "utf-8"json_dict = r.json()#定位数据data_list = json_dict["data"]#存储链接url_list = []#循环取链接for i in data_list:if i:u = i["thumbURL"]url_list.append(u)print(u)return url_listdef get_ip():#代理APIurl = "你的API"while 1:try:r = requests.get(url,timeout=10)except:continueip = r.text.strip()if "请求过于频繁" in ip:print("IP请求频繁")time.sleep(1)continuebreakproxies = {"https": f"{ip}"}return proxiesdef get_down_img(img_url_list):#创建文件夹if not os.path.isdir("鞠婧祎"):os.mkdir("鞠婧祎")#定义图片编号n = 0header = {"User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36"}times = 0while times < len(img_url_list):#获取代理IPproxies = get_ip()try:img_data = requests.get(url=img_url_list[times],headers=header,proxies=proxies,timeout=2)except Exception as e:print(e)continue#拼接图片存放地址和名字img_path = "鞠婧祎/" + str(n) + ".jpg"#写入图片with open(img_path,"wb") as f:f.write(img_data.content)n = n + 1times += 1if __name__ == "__main__":url_list = get_img_url("鞠婧祎")get_down_img(url_list)