Integrate the Templated API with the Python API

Setup the Templated API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Templated and Python remarkably fast. Free for developers.

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Popular Templated and Python Actions#

Create Render with the Templated API

Creates a render on a template in Templated. See the documentation

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Get Template with the Templated API

Retrieves a single template object referenced by its unique ID. See the documentation

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List Template Layers with the Templated API

Lists all layers of a template. See the documentation

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List Templates with the Templated API

List all templates of a user on Templated. See the documentation

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Overview of Templated#

The Templated API allows users to generate custom documents based on predefined templates. It's a powerful tool when you need to create consistent documents or reports with variable data. In Pipedream, you can seamlessly integrate Templated with other services to automate document creation. Combine data from various sources, trigger document generation, and carry out follow-up actions like emailing the document or saving it to cloud storage.

Connect Templated#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    templated: {
      type: "app",
      app: "templated",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.templated.io/v1/templates`,
      headers: {
        Authorization: `Bearer ${this.templated.$auth.api_key}`,
      },
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

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