Automatic

Here you will find all the available automatic nodes in the platform.

Actions

Automatic nodes

Scrape a received URL

Talk with the scrape wizard to configure the scraping of the received URLs

Fields:

  • Label: The name of the automatic action as it will appear in the workflow editor.
  • Description: A brief explanation of what is intendeed to do.
  • Integration: A list of integrations to use for the scraping.
  • URL: A URL to scrape the data from. Can use placeholders like {{input.url}}.
  • API Endpoint URL: The URL to the API endpoint service to scrape the data from.
  • Navigation steps: A list of steps to navigate through the page.
    • Click: Click on a selector.
    • Go to URL: Go to a URL.
    • Wait for load state: Wait for a load state.
    • Take a screenshot: Take a screenshot.
    • Fill input: Fill an input indicating the selector and the value.

Remap data

Allows you to remap the data from the packet

Fields:

  • Label: The name of the automatic action as it will appear in the workflow editor.
  • Description: A brief explanation of what is intendeed to do.
  • Add special data mapping: An option to include additional data mappings specific to this trigger. You will be able to map the data from the (input/metadata/entity params) to the (output/metadata).

Run custom code

Runs custom code with the packet data

Fields:

  • Label: The name of the automatic action as it will appear in the workflow editor.
  • Description: A brief explanation of what is intendeed to do.
  • Code: The code to run. You can use placeholders like {{input.url}}.
    • You will be able to return data to the packet using the return statement like return { output: {}, metadata: {} }.

Classify with LLM

Classifies the input data using the LLM model and returns the result in the corresponding exit

Fields:

  • Label: The name of the automatic action as it will appear in the workflow editor.
  • Description: A brief explanation of what is intendeed to do.
  • Handles names: The names of the handles to use for the classification.
    • Handler ID: The ID of the handler.
    • Is Connectable: If the handler is connectable.
    • Label: The label of the handler.
    • Color: The color of the handler.

Ask an LLM

Answers a prompt using LLM models. It can also return structured data if needed.

Fields:

  • Label: The name of the automatic action as it will appear in the workflow editor.
  • Description: A brief explanation of what is intendeed to do.
  • Integration: A list of integrations to use for the scraping.
  • LLM: The LLM model to use for the classification.
  • Prompt: The prompt to answer. Can use placeholders like {{input.url}}.

Analyze file with LLM

Get an answer with LLMs based on a prompt and an image. It can also return structured data if needed.

Fields:

  • Label: The name of the automatic action as it will appear in the workflow editor.
  • Description: A brief explanation of what is intendeed to do.
  • Integration: A list of integrations to use.
  • LLM: The LLM model to use for the classification.
  • File: Path in the packet input or metadata. It can be a reference to a URL or to a fileReference.
  • Prompt: The prompt to answer. Can use placeholders like {{input.url}}.