Integrate the WaiverForever API with the Python API

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

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Popular Ways to Connect WaiverForever with Python#

Run Python Code with Python API on New Waiver Signed (Instant) from WaiverForever API

WaiverForever + Python

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Popular WaiverForever and Python Triggers#

New Waiver Signed (Instant) from the WaiverForever API

Emit new event when a new Waiver sign is received

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Popular WaiverForever and Python Actions#

Create Waiver Request with the WaiverForever API

Create waiver request. See the docs here

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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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Overview of WaiverForever#

WaiverForever offers an API to digitally manage waiver documents, enabling users to streamline the process of creating, signing, and organizing waivers. This API can be a game-changer for businesses that need to handle liability waivers, consent forms, or other types of agreements efficiently. By leveraging Pipedream's capabilities, you can automate workflows around these waiver processes, such as triggering actions when a waiver is signed, syncing signed waivers with other databases, or setting up alerts for incomplete documents.

Connect WaiverForever#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    waiverforever: {
      type: "app",
      app: "waiverforever",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.waiverforever.com/openapi/v1/auth/userInfo`,
      headers: {
        "X-API-Key": `${this.waiverforever.$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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