How to scrape F
eedly
with AgentQL

Looking for a better way to scrape Feedly? 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 Feedly to any other website, regardless of UI changes.

Learn moreTry the playground, free! ->

Not just for scraping 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

3

Run your script

Install code for both JS and Python

agentql init

python example.py

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