How to scrape USDA Foreign Agricultural Service with AgentQL
Looking for a better way to scrape USDA Foreign Agricultural 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 USDA Foreign Agricultural Service to any other website, regardless of UI changes.
Not just for scraping USDA Foreign Agricultural Service
Smart selectors work anywhere
https://fas.usda.gov/
URL
Input any webpage.
{
news_items[] {
title
date
summary
}
}Query
Describe data in natural language.
{
"news_items": [
{
"title": "USDA Announces Funding for Climate-Smart Agriculture",
"date": "2024-07-26",
"summary": "The USDA is investing in projects that help farmers adapt to climate change."
}
]
}Returns
Receive accurate output in seconds.
How to use AgentQL on USDA Foreign Agricultural 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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