How to scrape Walgreens 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



1
Install the SDK
Install code for JS and Python
npm install agentql
pip3 install agentql
3
Run your script
Install code for both JS and Python
agentql init
python example.py
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