How to query F
eedly with AgentQL

Looking for a better way to query Feedly? Say goodbye to fragile XPath or DOM selectors that easily break with website updates. AI-powered AgentQL ensures consistent data querying across various platforms, from Feedly to any other website, regardless of UI changes.

Learn moreTry the playground, free!

Not just for Feedly

Smart selectors work anywhere

https://feedly.com

URL

Input any webpage.

{
  articles[] {
    title
    link
    date
    summary
  }
}

Query

Describe data in natural language.

{
  "articles": [
    {
      "title": "Article 1",
      "link": "https://example.com/article1",
      "date": "2024-04-27",
      "summary": "Summary of Article 1"
    }
  ]
}

Returns

Receive accurate output in seconds.

How to use AgentQL on Feedly

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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

Debugger Installation Instructions
3

Run your script

Install code for both JS and Python

agentql init

python example.py

More Websites to Query

More News websites to query

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Get started

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See samples on GitHubRead the docs