How to scrape Baymard Institute with AgentQL
Looking for a better way to scrape Baymard Institute? 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 Baymard Institute to any other website, regardless of UI changes.
Not just for scraping Baymard Institute
Smart selectors work anywhere
https://baymard.com
URL
Input any webpage.
{
articles[] {
title
url
summary
}
}
Query
Describe data in natural language.
{
"articles": [
{
"title": "How to Design a Better Search Experience",
"url": "https://baymard.com/blog/search-experience",
"summary": "This article discusses how to design a better search experience for users"
}
]
}
Returns
Receive accurate output in seconds.
How to use AgentQL on Baymard Institute



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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