How to scrape Farm Credit System Insurance Corporation with AgentQL
Looking for a better way to scrape Farm Credit System Insurance Corporation? 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 Farm Credit System Insurance Corporation to any other website, regardless of UI changes.
Not just for scraping Farm Credit System Insurance Corporation
Smart selectors work anywhere
https://fcsic.gov/
URL
Input any webpage.
{
news_items[] {
title
date
summary
}
}
Query
Describe data in natural language.
{
"news_items": [
{
"title": "FCSIC Announces New Initiatives",
"date": "2024-07-26",
"summary": "The Federal Crop Insurance Corporation announces several new initiatives to support farmers."
},
{
"title": "FCSIC Seeks Public Comment",
"date": "2024-07-20",
"summary": "The FCSIC is seeking public comment on proposed rule changes."
},
{
"title": "FCSIC Announces Funding for Research",
"date": "2024-07-15",
"summary": "The FCSIC announced new funding for research into crop insurance."
},
{
"title": "FCSIC Releases Annual Report",
"date": "2024-07-01",
"summary": "The FCSIC released its annual report summarizing the 2023 fiscal year."
}
]
}
Returns
Receive accurate output in seconds.
How to use AgentQL on Farm Credit System Insurance Corporation



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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