How to scrape Cornell 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



1
Install the SDK
Install code for JS and Python
npm install agentql
pip3 install agentql
3
Run your script
Install code for both JS and Python
agentql init
python example.py
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