How to scrape Troy Hunt with AgentQL
Looking for a better way to scrape Troy Hunt? 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 Troy Hunt to any other website, regardless of UI changes.
Not just for scraping Troy Hunt
Smart selectors work anywhere
https://troyhunt.com
URL
Input any webpage.
{
data_breaches[] {
title
date
website
description
}
}
Query
Describe data in natural language.
{
"data_breaches": [
{
"title": "2023 Collection #1",
"date": "2023-08-01",
"website": "example.com",
"description": "A data breach occurred on August 1, 2023, at example.com."
},
{
"title": "2023 Collection #2",
"date": "2023-08-15",
"website": "example2.com",
"description": "Another data breach occurred on August 15, 2023, at example2.com."
}
]
}
Returns
Receive accurate output in seconds.
How to use AgentQL on Troy Hunt



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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