How to scrape W
all Street Journal
with AgentQL

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

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Not just for scraping Wall Street Journal

Smart selectors work anywhere

https://wsj.com

URL

Input any webpage.

{
  article[] {
    headline
    date
    author
    summary
  }
}

Query

Describe data in natural language.

{
  "article": [
    {
      "headline": "Stocks Rise After Fed Minutes",
      "date": "2024-07-26",
      "author": "By Josh Zumbrun",
      "summary": "Stocks rose on Friday after the release of the Fed's latest minutes."
    },
    {
      "headline": "US Debt Ceiling Deal Reached",
      "date": "2024-07-25",
      "author": "By Nick Timiraos",
      "summary": "Congress and the White House reached a deal to raise the debt ceiling."
    },
    {
      "headline": "Inflation Remains High",
      "date": "2024-07-24",
      "author": "By Sarah Chan",
      "summary": "Inflation numbers were higher than expected this week."
    }
  ]
}

Returns

Receive accurate output in seconds.

How to use AgentQL on Wall Street Journal

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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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