How to scrape S
entry
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

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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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