How to query Semantic Scholar with AgentQL
Looking for a better way to query Semantic Scholar? 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 Semantic Scholar to any other website, regardless of UI changes.
Not just for Semantic Scholar
Smart selectors work anywhere
https://semanticscholar.org
URL
Input any webpage.
{
papers[] {
title
authors[]
abstract
year
link
}
}Query
Describe data in natural language.
{
"papers": [
{
"title": "AgentQL: An Intelligent Query Language for Content Extraction",
"authors": [
"John Smith",
"Jane Doe"
],
"abstract": "AgentQL is a new intelligent query language for locating content elements and extracting data.",
"year": 2024,
"link": "https://example.com/paper1"
}
]
}Returns
Receive accurate output in seconds.
How to use AgentQL on Semantic Scholar
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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