How to scrape Northern Border Regional Commission with AgentQL
Looking for a better way to scrape Northern Border Regional 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 Northern Border Regional Commission to any other website, regardless of UI changes.
Not just for scraping Northern Border Regional Commission
Smart selectors work anywhere
https://nbrc.gov/
URL
Input any webpage.
{
mission_statement
contact_information {
phone_number
email
address
}
leadership[] {
name
title
}
}
Query
Describe data in natural language.
{
"mission_statement": "To advance scientific knowledge and understanding of the brain and nervous system.",
"contact_information": {
"phone_number": "(555) 555-5555",
"email": "info@nbrc.gov",
"address": "123 Main St, Anytown, CA 91234"
},
"leadership": [
{
"name": "Dr. Jane Doe",
"title": "Director"
}
]
}
Returns
Receive accurate output in seconds.
How to use AgentQL on Northern Border Regional Commission



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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