How to scrape C
ornell Law
with AgentQL

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

Not just for scraping 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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