How to scrape Berkman Klein Center with AgentQL
Looking for a better way to scrape Berkman Klein Center? 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 Berkman Klein Center to any other website, regardless of UI changes.
Not just for scraping Berkman Klein Center
Smart selectors work anywhere
https://cyber.law.harvard.edu
URL
Input any webpage.
{
faculty[] {
name
title
research_interests[]
}
}Query
Describe data in natural language.
{
"faculty": [
{
"name": "Professor A",
"title": "Professor of Law",
"research_interests": [
"Cybersecurity",
"Data Privacy"
]
},
{
"name": "Professor B",
"title": "Associate Professor",
"research_interests": [
"Intellectual Property",
"Digital Law"
]
}
]
}Returns
Receive accurate output in seconds.
How to use AgentQL on Berkman Klein Center
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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