How to scrape Sentry with AgentQL
Looking for a better way to scrape Sentry? 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 Sentry to any other website, regardless of UI changes.
Not just for scraping Sentry
Smart selectors work anywhere
https://sentry.io
URL
Input any webpage.
{
logo(Company logo in the top-left corner)
navigation_links(Links in the navigation bar)[]
search_bar(Search bar in the top-right corner)
hero_section(Main hero section with a title and description)
features[] {
title
description
}
pricing_section(Pricing section of the website)
footer(The footer section with copyright information and links)
}
Query
Describe data in natural language.
{
"logo": "Sentry Logo",
"navigation_links": [
"Product",
"Platform",
"Pricing",
"Docs"
],
"search_bar": "Search",
"hero_section": {
"title": "Sentry",
"description": "Error Tracking & Performance Monitoring"
},
"features": [
{
"title": "Error Tracking",
"description": "Real-time error monitoring"
}
],
"pricing_section": "Pricing",
"footer": "\u00a9 Sentry"
}
Returns
Receive accurate output in seconds.
How to use AgentQL on Sentry



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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