Integrate the Knack API with the Python API

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

Popular Ways to Connect Knack with Python#

Run Python Code with Python API on New Record from Knack API

Knack + Python

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Popular Knack and Python Triggers#

New Record from the Knack API

Emit new event for each record created

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Popular Knack and Python Actions#

Create Record with the Knack API

Create a Record for a Knack object (See 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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Delete Record with the Knack API

Delete a Record for a Knack object (See docs here)

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Get Record(s) with the Knack API

Get one or more Records for a Knack object (See docs here)

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Update Record with the Knack API

Update a Record for a Knack object (See docs here)

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Overview of Knack#

The Knack API allows for robust interactions with your Knack database, enabling automation of data entry, retrieval, updates, and deletion. With Pipedream, you can leverage these capabilities to create seamless workflows that react to events in real-time, sync data across platforms, and enhance your database management without manual intervention. Think less about CRUD operations and more about the magic of connecting your Knack data to the digital tools ecosystem.

Connect Knack#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    knack: {
      type: "app",
      app: "knack",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "post",
      url: `https://api.knack.com/v1/objects/object_1/records`,
      headers: {
        "X-Knack-Application-Id": `${this.knack.$auth.application_id}`,
        "X-Knack-REST-API-KEY": `${this.knack.$auth.api_key}`,
        "content-type": `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}}