Integrate the GoCanvas API with the Python API

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

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Popular Ways to Connect GoCanvas with Python#

Run Python Code with Python API on New Submission Recieved from GoCanvas API

GoCanvas + Python

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Popular GoCanvas and Python Triggers#

New Submission Recieved from the GoCanvas API

Emit new event when a new submission is uploaded to GoCanvas.

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Popular GoCanvas and Python Actions#

Create Dispatch with the GoCanvas API

Creates a dispatch item in GoCanvas. 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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Create or Update Reference Data with the GoCanvas API

Creates or updates GoCanvas reference data. See the documentation

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Delete Dispatch with the GoCanvas API

Removes a specific dispatch from GoCanvas. See the documentation

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Overview of GoCanvas#

The GoCanvas API allows for the automation of document processing tasks, enabling data extraction from PDFs with ease, thus facilitating the seamless transfer of this data to other systems or databases. This proves particularly useful for businesses aiming to digitize paper-based processes, automate data entry, or integrate with other digital tools to enhance productivity and reduce manual errors.

Connect GoCanvas#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    gocanvas: {
      type: "app",
      app: "gocanvas",
    }
  },
  async run({steps, $}) {
    const data = {
      "username": `${this.gocanvas.$auth.username}`,
    }
    return await axios($, {
      url: `https://www.gocanvas.com/apiv2/forms.xml`,
      headers: {
        Authorization: `Bearer ${this.gocanvas.$auth.api_key}`,
      },
      data,
    })
  },
})

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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