How to scrape S
emantic 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.

Learn moreTry the playground, free!

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

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1

Install the SDK

Install code for JS and Python

npm install agentql

pip3 install agentql

2

Test and refine

Use the query debugger

Debugger Installation Instructions
3

Run your script

Install code for both JS and Python

agentql init

python example.py

More Websites to Scrape

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Get started

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See samples on GitHubRead the docs