Integrate the Airslate API with the Python API

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

Popular Airslate and Python Actions#

Create a New Template with the Airslate API

Create a new reusable document package that contains fillable documents and forms in the specified organization. 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 New Organization with the Airslate API

Creates a new organization in airslate with optional settings. See the documentation

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Update Template with the Airslate API

Update a specified template in airSlate. See the documentation

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Overview of Airslate#

The Airslate API enables automation of document workflows, including creation, updating, and tracking of e-signature processes. In Pipedream, you can leverage this API to streamline document handling, automate data syncing between apps, and manage notifications related to your digital documents. Utilizing Airslate's capabilities within Pipedream workflows allows for easy integration with other services, enhancing productivity and minimizing manual tasks.

Connect Airslate#

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

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}}