How to scrape W
algreens
with AgentQL

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

Not just for scraping Walgreens

Smart selectors work anywhere

https://walgreens.com

URL

Input any webpage.

{
  store_locations[] {
    address
    phone_number
    hours
  }
}

Query

Describe data in natural language.

{
  "store_locations": [
    {
      "address": "123 Main St, Anytown, CA 91234",
      "phone_number": "(555) 123-4567",
      "hours": "Mon-Fri 9am-9pm, Sat 10am-6pm, Sun 11am-5pm"
    }
  ]
}

Returns

Receive accurate output in seconds.

How to use AgentQL on Walgreens

A dotted lineA blue lineA blue line
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

Holds no opinions on what’s and how’s. Build whatever makes sense to you.