How to scrape Economic Research Service with AgentQL
Looking for a better way to scrape Economic Research Service? 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 Economic Research Service to any other website, regardless of UI changes.
Not just for scraping Economic Research Service
Smart selectors work anywhere
https://ers.usda.gov/
URL
Input any webpage.
{
title(Title of the page)
sections[] {
heading
content
}
}
Query
Describe data in natural language.
{
"title": "USDA Economic Research Service",
"sections": [
{
"heading": "About Us",
"content": "The Economic Research Service (ERS) provides economic research and analysis to support the U.S. Department of Agriculture."
},
{
"heading": "Data",
"content": "Access various data and statistics related to agriculture and food systems."
}
]
}
Returns
Receive accurate output in seconds.
How to use AgentQL on Economic Research Service



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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