How to scrape Taylor & Francis Online with AgentQL
Looking for a better way to scrape Taylor & Francis Online? 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 Taylor & Francis Online to any other website, regardless of UI changes.
Not just for scraping Taylor & Francis Online
Smart selectors work anywhere
https://tandfonline.com
URL
Input any webpage.
{
journal_title
articles[] {
title
author[]
abstract
}
}Query
Describe data in natural language.
{
"journal_title": "Journal of American Medical Association",
"articles": [
{
"title": "Effect of Exercise on Heart Health",
"author": [
"Jane Doe",
"John Smith"
],
"abstract": "This study investigated the effects of regular exercise on cardiovascular health."
}
]
}Returns
Receive accurate output in seconds.
How to use AgentQL on Taylor & Francis Online
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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