How to scrape National Agricultural Statistics Service with AgentQL
Looking for a better way to scrape National Agricultural Statistics Service? 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 Statistics Service to any other website, regardless of UI changes.
Not just for scraping National Agricultural Statistics Service
Smart selectors work anywhere
https://nass.usda.gov/
URL
Input any webpage.
{
title(The title of the page)
sections[] {
heading
content
}
}
Query
Describe data in natural language.
{
"title": "National Agricultural Statistics Service (NASS)",
"sections": [
{
"heading": "About NASS",
"content": "NASS is a federal agency that collects and publishes data about agriculture."
}
]
}
Returns
Receive accurate output in seconds.
How to use AgentQL on National Agricultural Statistics Service



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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