How to scrape Wikimedia Commons with AgentQL
Looking for a better way to scrape Wikimedia Commons? 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 Wikimedia Commons to any other website, regardless of UI changes.
Not just for scraping Wikimedia Commons
Smart selectors work anywhere
https://commons.wikimedia.org
URL
Input any webpage.
{
logo(Wikimedia logo image)
mission_statement(A short description of the Wikimedia foundation's mission)
featured_content[] {
title
description
image_url
}
}
Query
Describe data in natural language.
{
"logo": "https://upload.wikimedia.org/wikipedia/commons/thumb/4/4a/Wikimedia_foundation_logo.svg/1200px-Wikimedia_foundation_logo.svg.png",
"mission_statement": "To empower and enrich life through free access to knowledge",
"featured_content": [
{
"title": "Example Article 1",
"description": "This is the first example article.",
"image_url": "https://example.com/image1.jpg"
}
]
}
Returns
Receive accurate output in seconds.
How to use AgentQL on Wikimedia Commons
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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