How to query Oxford Academic with AgentQL
Looking for a better way to query Oxford Academic? Say goodbye to fragile XPath or DOM selectors that easily break with website updates. AI-powered AgentQL ensures consistent data querying across various platforms, from Oxford Academic to any other website, regardless of UI changes.
Not just for Oxford Academic
Smart selectors work anywhere
https://academic.oup.com
URL
Input any webpage.
{
journals[] {
name
description
}
}Query
Describe data in natural language.
{
"journals": [
{
"name": "Journal of the American Statistical Association",
"description": "The Journal of the American Statistical Association (JASA) publishes research papers in applied and theoretical statistics that have broad appeal to statisticians and other scientists."
},
{
"name": "Journal of Clinical Oncology",
"description": "The Journal of Clinical Oncology publishes original research and review articles on the diagnosis, treatment, and prevention of cancer."
}
]
}Returns
Receive accurate output in seconds.
How to use AgentQL on Oxford Academic
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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