How to scrape Semantic Scholar with AgentQL
Looking for a better way to scrape Semantic Scholar? 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 Semantic Scholar to any other website, regardless of UI changes.
Not just for scraping 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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