How to scrape T
aylor & Francis Online
with AgentQL

Looking for a better way to scrape Taylor & Francis Online? 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 Taylor & Francis Online to any other website, regardless of UI changes.

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Not just for scraping Taylor & Francis Online

Smart selectors work anywhere

https://tandfonline.com

URL

Input any webpage.

{
  journal_title
  articles[] {
    title
    author[]
    abstract
  }
}

Query

Describe data in natural language.

{
  "journal_title": "Journal of American Medical Association",
  "articles": [
    {
      "title": "Effect of Exercise on Heart Health",
      "author": [
        "Jane Doe",
        "John Smith"
      ],
      "abstract": "This study investigated the effects of regular exercise on cardiovascular health."
    }
  ]
}

Returns

Receive accurate output in seconds.

How to use AgentQL on Taylor & Francis Online

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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

3

Run your script

Install code for both JS and Python

agentql init

python example.py

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