How to scrape N
ational 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

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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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