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agentql-integrations

Open source MIT Jupyter Notebook
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About agentql-integrations

AgentQL's integrations with workflow automation tools and AI agent frameworks let you extract structured data from web pages using queries or natural language and interact with the web with Playwright. Resilient, fast, and AI-ready.

Platforms

Web Self-hosted

Languages

Jupyter Notebook

AgentQL Integrations

AgentQL provides structured data extraction from web pages using an AgentQL query or a Natural Language prompt and can interact with web pages using Playwright. AgentQL can be used across multiple languages and web pages without breaking over time and change, making it the perfect tool for automations and AI agents. Check out all our integrations or get started with our SDK or API.

What is AgentQL useful for?

  • Finding elements on a page without knowing their selectors
  • Getting all the line items on a spreadsheet
  • Scraping data from a jobs site
  • Automating form submissions
  • Opening hundreds of links then getting prices from every page

Contribution guidelines

Want to contribute to these integrations? We love adding AgentQL to new ecosystems! Check out our contribution guidelines

License

These integrations are licensed under the MIT License.