How to scrape U
.S. International Trade Commission
with AgentQL

Looking for a better way to scrape U.S. International Trade 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 U.S. International Trade Commission to any other website, regardless of UI changes.

Not just for scraping U.S. International Trade Commission

Smart selectors work anywhere

https://usitc.gov/

URL

Input any webpage.

{
  news_items[] {
    title
    date
    summary
  }
}

Query

Describe data in natural language.

{
  "news_items": [
    {
      "title": "USITC Issues Statement on Section 337 Investigation",
      "date": "2024-04-26",
      "summary": "The USITC has issued a statement on a recent Section 337 investigation."
    },
    {
      "title": "New Report on Trade Deficit",
      "date": "2024-04-25",
      "summary": "The USITC released a new report on the trade deficit."
    }
  ]
}

Returns

Receive accurate output in seconds.

How to use AgentQL on U.S. International Trade 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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