爬取百度图片450张猫图片

import requests
import json

base_url = "http://image.baidu.com/search/acjson?tn=resultjson_com&ipn=rj&ct=201326592&is=&fp=" 
          "result&queryWord=%E7%8C%AB&cl=2&lm=&ie=utf-8&oe=utf-8&adpicid=&st=-1&z=&ic=&hd=&latest=&" 
          "copyright=&word=%E7%8C%AB&s=&se=&tab=&width=&height=&face=0&istype=2&qc=&nc=1&fr=&expermode=&" 
          "force=&pn={}&rn=30&gsm=3c&1586780971519="

referer = "http://image.baidu.com/search/index?tn=baiduimage&ipn=r&ct=201326592&cl=2&lm=&st=-1&fm=result&" 
          "fr=&sf=1&fmq=1586774219869_R&pv=&ic=&nc=1&z=&hd=&latest=&copyright=&se=1&showtab=0&fb=0&width=&" 
          "height=&face=0&istype=2&ie=utf-8&sid=&word=%E7%8C%AB"

header = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) "
                        "Chrome/80.0.3987.106 Safari/537.36", "Referer":referer}

index = 1

for i in range(1, 16):
    url = base_url.format(str(i * 30))
    response_1 = requests.get(url)
    js_data = json.loads(response_1.text)
    for j in range(0, 30):
        img_url = js_data["data"][j]["thumbURL"]
        print(img_url, index, sep=" ")
        response_2 = requests.get(img_url, headers=header)
        if index == 430:
            print(response_2.status_code)
        if response_2.status_code == 200:
            with open("/home/yan/jupyter_notebook_file/Neural_Network/baidu_image_cat_dataset/cat_" + str(index) + ".jpg",
                      'wb') as f:
                f.write(response_2.content)
                f.close()
            index += 1
        else:
            print("Warning:403")

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