How to scrape H
uffPost with AgentQL

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

Learn moreTry the playground, free!

Not just for scraping HuffPost

Smart selectors work anywhere

https://huffpost.com

URL

Input any webpage.

{
  articles[] {
    headline
    author
    date
  }
}

Query

Describe data in natural language.

{
  "articles": [
    {
      "headline": "Example Headline 1",
      "author": "Jane Doe",
      "date": "2024-07-26"
    },
    {
      "headline": "Example Headline 2",
      "author": "John Smith",
      "date": "2024-07-25"
    }
  ]
}

Returns

Receive accurate output in seconds.

How to use AgentQL on HuffPost

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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

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Get started

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