Dify + AgentQL: Build AI Apps with Live Web Data, No Code Needed

AgentQL now integrates seamlessly with Dify, making it easier than ever to build AI applications that access and process real-time web data. Dify provides a user-friendly, low-code platform for designing and deploying AI applications—no complex backend…


This content originally appeared on DEV Community and was authored by Rachel-Lee Nabors

AgentQL now integrates seamlessly with Dify, making it easier than ever to build AI applications that access and process real-time web data. Dify provides a user-friendly, low-code platform for designing and deploying AI applications—no complex backend setup required. Now, with AgentQL’s Extract Web Data tool, your AI apps can retrieve live information from any webpage in real time.

What Can You Build with AgentQL + Dify?

Check out live demos:

How to Use AgentQL in Dify

Using AgentQL in an Agent

  1. Create a new app in Dify and select "Agent."
  2. Under Tools, click + Add.
  3. Search for "AgentQL."
  4. Select Extract Web Data under AgentQL.
  5. Prompt the agent to extract web data using either:
    • An AgentQL query (learn more)
    • A natural language prompt

Using AgentQL in a Workflow

  1. Create a new app in Dify and choose "Chatflow" or "Workflow."
  2. Click Add Block.
  3. Under Tools, search for "AgentQL".
  4. Select Extract Web Data under AgentQL. Configure input variables in the tool’s UI, then run the pipeline to extract web page data.

For detailed setup instructions, check out the Dify integration guide.

Try It Today

The AgentQL + Dify integration is live now. Build AI-powered applications that interact with real-time web data—without touching a single API. Visit the integration guide to start building your AI applications with live web data.

We can't wait to see what you build! Give us a shout out on Discord, X, or Bluesky!

—The TinyFish team building AgentQL


This content originally appeared on DEV Community and was authored by Rachel-Lee Nabors


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