creditchina-query

Credit China Query

L0: One-Sentence Summary

Input a company name, pass the graphic captcha automatically via Kimi WebBridge plus ddddocr local OCR, and return the enterprise's credit records.

L1: Overview

• Data source: Credit China (creditchina.gov.cn, guided by NDRC)
• Auth: graphic captcha (solved locally by ddddocr, ~100 ms)
• Invocation: Kimi WebBridge + CDP screenshot + ddddocr Python OCR
• Prerequisites:
  • Kimi WebBridge daemon running
  • Python with ddddocr (pip install ddddocr)
  • Python with Pillow (pip install pillow)

L2: Procedure

1. Navigate to the search page

Write C:\tmp\cc-nav.json:

{
  "action": "navigate",
  "args": {
    "url": "https://www.creditchina.gov.cn/xinyongxinxi/?keyword={company-name-URL-encoded}&scenesVal=default&tableName=credit_xyzx_tyshxydm",
    "newTab": true,
    "group_title": "信用中国查询"
  },
  "session": "creditchina-query"
}

curl.exe -s -X POST "http://127.0.0.1:10086/command" \
  -H "Content-Type: application/json" \
  --data-binary "@C:\tmp\cc-nav.json" --max-time 30

Wait 6 seconds.

2. Confirm the captcha overlay

Write C:\tmp\cc-check.json:

{
  "action": "evaluate",
  "args": {
    "code": "(function(){var v=document.getElementById('vcode');var i=document.getElementById('vcodeimg');return JSON.stringify({vcode:v?v.getBoundingClientRect().width>0:false,vimg:i?i.getBoundingClientRect().width>0:false});})()"
  },
  "session": "creditchina-query"
}

If vcode=true and vimg=true, the captcha overlay is visible — continue.

3. Get the captcha image coordinates

Write C:\tmp\cc-coord.json:

{
  "action": "evaluate",
  "args": {
    "code": "(function(){var img=document.getElementById('vcodeimg');if(!img)return 'no-img';var r=img.getBoundingClientRect();return JSON.stringify({x:Math.round(r.x),y:Math.round(r.y),w:Math.round(r.width),h:Math.round(r.height),dpr:window.devicePixelRatio});})()"
  },
  "session": "creditchina-query"
}