How to scrape F
ulbright
with AgentQL

Looking for a better way to scrape Fulbright? 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 Fulbright to any other website, regardless of UI changes.

Not just for scraping Fulbright

Smart selectors work anywhere

https://eca.state.gov/fulbright

URL

Input any webpage.

{
  program_description(A brief description of the Fulbright program)
  eligibility_requirements(The requirements to apply for the program)
  application_process(Information about how to apply for the Fulbright program)
  timeline(Important dates and deadlines for the application process)
  contact_information(Contact details for inquiries)
}

Query

Describe data in natural language.

{
  "program_description": "The Fulbright Program offers opportunities for scholars and professionals to engage in international exchange.",
  "eligibility_requirements": "Requirements vary depending on the program and country.",
  "application_process": "The application involves submitting an application form and supporting materials.",
  "timeline": "Deadlines vary across programs.",
  "contact_information": "Contact details are available on the website."
}

Returns

Receive accurate output in seconds.

How to use AgentQL on Fulbright

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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

Get started

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