How to query B
aymard Institute
with AgentQL

Looking for a better way to query Baymard Institute? Say goodbye to fragile XPath or DOM selectors that easily break with website updates. AI-powered AgentQL ensures consistent data querying across various platforms, from Baymard Institute to any other website, regardless of UI changes.

Not just for 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

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1

Install the SDK

Install code for JS and Python

npm install agentql

pip3 install agentql

2

Test and refine

Use the query debugger

3

Run your script

Install code for both JS and Python

agentql init

python example.py

Get started

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