How to scrape W
orld Bank Data
with AgentQL

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

Not just for scraping World Bank Data

Smart selectors work anywhere

https://data.worldbank.org

URL

Input any webpage.

{
  data_catalog[] {
    dataset_name
    dataset_description
  }
}

Query

Describe data in natural language.

{
  "data_catalog": [
    {
      "dataset_name": "World Development Indicators",
      "dataset_description": "Provides data on various development indicators for countries around the world."
    }
  ]
}

Returns

Receive accurate output in seconds.

How to use AgentQL on World Bank Data

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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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