How to scrape bioRxiv with AgentQL
Looking for a better way to scrape bioRxiv? 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 bioRxiv to any other website, regardless of UI changes.
Not just for scraping bioRxiv
Smart selectors work anywhere
https://biorxiv.org
URL
Input any webpage.
{
articles[] {
title
authors[]
abstract
date
}
}Query
Describe data in natural language.
{
"articles": [
{
"title": "A novel approach to influenza research",
"authors": [
"John Smith",
"Jane Doe"
],
"abstract": "This paper presents a novel approach to influenza research.",
"date": "2024-07-26"
}
]
}Returns
Receive accurate output in seconds.
How to use AgentQL on bioRxiv
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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