1 源码

1.1 无注释版

import requests, urllib, re 

def getData():
	i = 0
	URLs = []
	while(i < 60):
		i += 30
		print(i) 
		url = "https://image.baidu.com/search/acjson?tn=resultjson_com&ipn=rj&ct=201326592&is=&fp=result&queryWord=%E4%BA%BA%E8%84%B8&cl=2&lm=-1&ie=utf-8&oe=utf-8&adpicid=&st=-1&z=0&ic=0&hd=0&latest=0&copyright=0&word=%E4%BA%BA%E8%84%B8&s=&se=&tab=&width=&height=&face=0&istype=2&qc=&nc=1&fr=&expermode=&selected_tags=&pn={}".format(i)
		response = requests.get(url)
		response = response.text
		picURL = re.findall('"thumbURL":"(.*?)",', response, re.S)
		URLs += picURL
	return URLs

def downLoadImage(URLs):
	for i, URL in enumerate(URLs):
		print("No." + str(i + 1) + '.jpg' + 'is downloading...')
		urllib.request.urlretrieve(URL, "face"+str(i+1)+'.jpg')
if __name__ == "__main__":
	downLoadImage(getData())

1.2 github:注释版

2 结果

测试结果

图2.1 获取60张人脸图片

状态提示

图2.2 状态提示

3 解析

打开百度网页搜索:人脸->图片,右键选择查看元素(Firefox)或检查(chrome).
按图3.1选择,以Firefox为例.

图3.1 指导步骤

4 总结

• 倒序分析,先从URL解析开始,解析图片的数据所在的真实URL;
• 批量获取图片,需要进一步处理URL,正则化获取,批量存储URL;
• 最重要是找到分页参数;
• 注意:XHR中无数据时,滑动网页,即有数据;

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[参考文献]
[1]https://blog.****.net/xiligey1/article/details/73321152

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