How to scrape Wall 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.
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
1
Install the SDK
Install code for JS and Python
npm install agentql
pip3 install agentql
3
Run your script
Install code for both JS and Python
agentql init
python example.py
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