How to scrape M
cDonald's
with AgentQL

Looking for a better way to scrape McDonald's? 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 McDonald's to any other website, regardless of UI changes.

Not just for scraping McDonald's

Smart selectors work anywhere

https://mcdonalds.com

URL

Input any webpage.

{
  menu {
    item[] {
      name
      price
    }
  }
}

Query

Describe data in natural language.

{
  "menu": {
    "item": [
      {
        "name": "Big Mac",
        "price": "$5.00"
      },
      {
        "name": "McNuggets",
        "price": "$6.00"
      }
    ]
  }
}

Returns

Receive accurate output in seconds.

How to use AgentQL on McDonald's

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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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