How to scrape I
nternational Trade Administration with AgentQL

Looking for a better way to scrape International Trade Administration? 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 International Trade Administration to any other website, regardless of UI changes.

Learn moreTry the playground, free!

Not just for scraping International Trade Administration

Smart selectors work anywhere

https://trade.gov/

URL

Input any webpage.

{
  news_articles[] {
    headline
    date
    summary
  }
}

Query

Describe data in natural language.

{
  "news_articles": [
    {
      "headline": "Trade tensions ease",
      "date": "2024-04-26",
      "summary": "Trade tensions between the US and China have eased after recent negotiations."
    }
  ]
}

Returns

Receive accurate output in seconds.

How to use AgentQL on International Trade Administration

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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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Get started

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