How to query C
ornell Law
with AgentQL

Looking for a better way to query Cornell Law? Say goodbye to fragile XPath or DOM selectors that easily break with website updates. AI-powered AgentQL ensures consistent data querying across various platforms, from Cornell Law to any other website, regardless of UI changes.

Not just for Cornell Law

Smart selectors work anywhere

https://law.cornell.edu

URL

Input any webpage.

{
  main_content {
    title
    sections[] {
      heading
      text
    }
  }
}

Query

Describe data in natural language.

{
  "main_content": {
    "title": "Cornell Law School",
    "sections": [
      {
        "heading": "About",
        "text": "Cornell Law School is a top law school..."
      }
    ]
  }
}

Returns

Receive accurate output in seconds.

How to use AgentQL on Cornell Law

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1

Install the SDK

Install code for JS and Python

npm install agentql

pip3 install agentql

2

Test and refine

Use the query debugger

3

Run your script

Install code for both JS and Python

agentql init

python example.py

Get started

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