How to scrape U.S. Trade Representative with AgentQL
Looking for a better way to scrape U.S. Trade Representative? 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. Trade Representative to any other website, regardless of UI changes.
Not just for scraping U.S. Trade Representative
Smart selectors work anywhere
https://ustr.gov/
URL
Input any webpage.
{
agency_name
mission_statement
contact_information {
phone_number
email
address
}
}Query
Describe data in natural language.
{
"agency_name": "United States Department of Transportation",
"mission_statement": "To serve the United States by ensuring a fast, safe, efficient, accessible and convenient transportation system that meets our vital national interests and enhances the quality of life of the American people",
"contact_information": {
"phone_number": "202-366-4000",
"email": "customer.service@dot.gov",
"address": "1200 New Jersey Avenue, SE, Washington, DC 20590"
}
}Returns
Receive accurate output in seconds.
How to use AgentQL on U.S. Trade Representative
1
Install the SDK
Install code for JS and Python
npm install agentql
pip3 install agentql
3
Run your script
Install code for both JS and Python
agentql init
python example.py
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