How to scrape F
arm 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

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1

Install the SDK

Install code for JS and Python

npm install agentql

pip3 install agentql

2

Test and refine

Use the query debugger

3

Run your script

Install code for both JS and Python

agentql init

python example.py

Get started

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