How to query W
3C Jigsaw
with AgentQL

Looking for a better way to query W3C Jigsaw? 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 W3C Jigsaw to any other website, regardless of UI changes.

Not just for W3C Jigsaw

Smart selectors work anywhere

https://jigsaw.w3.org

URL

Input any webpage.

{
  jigsaw_pieces[] {
    shape
    color
    size
  }
}

Query

Describe data in natural language.

{
  "jigsaw_pieces": [
    {
      "shape": "square",
      "color": "red",
      "size": "large"
    },
    {
      "shape": "rectangle",
      "color": "blue",
      "size": "medium"
    }
  ]
}

Returns

Receive accurate output in seconds.

How to use AgentQL on W3C Jigsaw

A dotted lineA blue lineA blue line
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

Holds no opinions on what’s and how’s. Build whatever makes sense to you.