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c#、cefsharp 获取、提取 img、image 图片标签二进制数据_cefsharp 获取标签

cefsharp 获取标签

主要是为了用cef做自动登录时打码用,但是又不想通过拦截response,因为那样太不够直观。

标签内容为:

<img src="Image.do?_timesShow=2&amp;ran=100509925" title="点击更换图片!" alt="" class="sz" onclick="this.src='Image.xx?ran='+Math.random()" style="padding-top:4px;padding-left:10px;">

图片显示为链接,百度了一圈,也有一些写了提取方法的,但是比较模糊,记录一下。

以下js代码为,直接执行返回即为base64图片数据,在c#里解为byte[]就可以上传打码了。

至于c#如何让cefsharp执行js就简单了、browser.GetMainFrame().EvaluateScriptAsync(jscode)

  1. (function() {
  2. var getDataFromImg = function(img) {
  3. var canvas = document.createElement('canvas');
  4. var context = canvas.getContext('2d');
  5. canvas.width = 90; //验证码长
  6. canvas.height = 22;//验证码宽
  7. context.drawImage(img, 0, 0 );
  8. var dataURL = canvas.toDataURL('image/png');
  9. return dataURL.replace(/^data:image\/(png|jpg);base64,/, '');
  10. }
  11. //获取图片标签,在开发工具选中img标签,右键copy -> copy js xpath
  12. var img = document.querySelector("#loginrtModule > div.module2 > div.module4 > div > p.verify_code > img")
  13. return getDataFromImg(img );
  14. })();
"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"

 

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