How to scrape U
.S. Fish and Wildlife Service
with AgentQL

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

Not just for scraping U.S. Fish and Wildlife Service

Smart selectors work anywhere

https://fws.gov/

URL

Input any webpage.

{
  featured_news[] {
    title
    date
    summary
  }
}

Query

Describe data in natural language.

{
  "featured_news": [
    {
      "title": "New Report on Climate Change",
      "date": "2024-07-26",
      "summary": "A new report on climate change has been released by the government."
    },
    {
      "title": "New Regulations on Water Quality",
      "date": "2024-07-25",
      "summary": "The government has released new regulations on water quality."
    }
  ]
}

Returns

Receive accurate output in seconds.

How to use AgentQL on U.S. Fish and Wildlife 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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