How to scrape Ars Technica with AgentQL
Looking for a better way to scrape Ars Technica? 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 Ars Technica to any other website, regardless of UI changes.
Not just for scraping Ars Technica
Smart selectors work anywhere
https://arstechnica.com
URL
Input any webpage.
{
articles[] {
title
author
publication_date
}
}Query
Describe data in natural language.
{
"articles": [
{
"title": "Report: AMD\u2019s next-gen Ryzen CPUs will use a new socket",
"author": "Joel Hruska",
"publication_date": "2024-04-26"
}
]
}Returns
Receive accurate output in seconds.
How to use AgentQL on Ars Technica
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
More Websites to Scrape
Get started
Holds no opinions on what’s and how’s. Build whatever makes sense to you.
