How to scrape U
.S. Forest Service
with AgentQL

Looking for a better way to scrape U.S. Forest 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 U.S. Forest Service to any other website, regardless of UI changes.

Not just for scraping U.S. Forest Service

Smart selectors work anywhere

https://fs.usda.gov/

URL

Input any webpage.

{
  news_articles[] {
    title
    date
    summary
  }
}

Query

Describe data in natural language.

{
  "news_articles": [
    {
      "title": "New Research Shows the Economic Benefits of Investing in Forests",
      "date": "2024-07-24",
      "summary": "A new study by the USDA Forest Service has found that investing in forests can lead to significant economic benefits."
    },
    {
      "title": "USDA Forest Service Announces New Partnership to Combat Wildfires",
      "date": "2024-07-23",
      "summary": "The USDA Forest Service has announced a new partnership with several organizations to combat wildfires."
    }
  ]
}

Returns

Receive accurate output in seconds.

How to use AgentQL on U.S. Forest 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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