How to scrape U
S Arctic Research Commission
with AgentQL

Looking for a better way to scrape US Arctic Research Commission? 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 US Arctic Research Commission to any other website, regardless of UI changes.

Not just for scraping US Arctic Research Commission

Smart selectors work anywhere

https://arctic.gov/

URL

Input any webpage.

{
  news_articles[] {
    headline
    date
    summary
  }
}

Query

Describe data in natural language.

{
  "news_articles": [
    {
      "headline": "New Study Reveals Impacts of Climate Change on Arctic Ecosystems",
      "date": "2024-07-26",
      "summary": "Researchers found significant changes in the Arctic's plant and animal life due to rising temperatures."
    },
    {
      "headline": "Arctic Council Meets to Discuss Sustainable Development",
      "date": "2024-07-25",
      "summary": "Representatives from Arctic nations gathered to address environmental protection and economic growth in the region."
    }
  ]
}

Returns

Receive accurate output in seconds.

How to use AgentQL on US Arctic Research Commission

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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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