How to query National Agricultural Library with AgentQL
Looking for a better way to query National Agricultural Library? 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 National Agricultural Library to any other website, regardless of UI changes.
Not just for 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
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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Get started
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