How to scrape N
ational Agricultural Library
with AgentQL

Looking for a better way to scrape National Agricultural Library? 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 National Agricultural Library to any other website, regardless of UI changes.

Not just for scraping National Agricultural Library

Smart selectors work anywhere

https://nal.usda.gov/

URL

Input any webpage.

{
  nutrition_facts[] {
    food_name
    serving_size
    calories
  }
}

Query

Describe data in natural language.

{
  "nutrition_facts": [
    {
      "food_name": "Apple",
      "serving_size": "1 medium",
      "calories": 95
    }
  ]
}

Returns

Receive accurate output in seconds.

How to use AgentQL on National Agricultural Library

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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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