How to scrape U.S. Botanic Garden with AgentQL
Looking for a better way to scrape U.S. Botanic Garden? 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. Botanic Garden to any other website, regardless of UI changes.
Not just for scraping U.S. Botanic Garden
Smart selectors work anywhere
https://usbg.gov/
URL
Input any webpage.
{
news_items[] {
title
date
summary
}
}
Query
Describe data in natural language.
{
"news_items": [
{
"title": "USBG Announces New Board Members",
"date": "2024-07-26",
"summary": "The USBG is pleased to announce the addition of new board members who bring a wealth of experience to the organization."
},
{
"title": "USBG Hosts Annual Conference",
"date": "2024-07-20",
"summary": "The USBG recently concluded its annual conference, bringing together industry leaders and professionals for three days of learning, networking, and collaboration."
}
]
}
Returns
Receive accurate output in seconds.
How to use AgentQL on U.S. Botanic Garden



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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