How to scrape A
gricultural Research Service with AgentQL

Looking for a better way to scrape Agricultural Research 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 Agricultural Research Service to any other website, regardless of UI changes.

Learn moreTry the playground, free!

Not just for scraping Agricultural Research Service

Smart selectors work anywhere

https://ars.usda.gov/

URL

Input any webpage.

{
  news_articles[] {
    title
    date
    summary
  }
}

Query

Describe data in natural language.

{
  "news_articles": [
    {
      "title": "USDA Announces Funding for Climate-Smart Agriculture",
      "date": "2024-07-26",
      "summary": "The USDA is investing in climate-smart agriculture practices to support farmers and ranchers."
    }
  ]
}

Returns

Receive accurate output in seconds.

How to use AgentQL on Agricultural Research 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

Debugger Installation Instructions
3

Run your script

Install code for both JS and Python

agentql init

python example.py

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