Integrate the Senta API with the Python API

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

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Popular Ways to Connect Senta with Python#

Run Python Code with Python API on New Client Created from Senta API

Senta + Python

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Run Python Code with Python API on New Job Overdue from Senta API

Senta + Python

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Popular Senta and Python Triggers#

New Client Created from the Senta API

Emit new event when a new client is created.

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New Job Overdue from the Senta API

Emit new event when a job becomes overdue.

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Popular Senta and Python Actions#

Create Client with the Senta API

Creates a new client. 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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Update Client with the Senta API

Updates an existing client. See the documentation

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Overview of Senta#

The Senta API allows you to automate and integrate practice management tasks within the Senta platform. Leveraging Pipedream's capabilities, you can create workflows that streamline client onboarding, automate communication, task management, and synchronize data with other services. With Pipedream's serverless platform, these workflows can be triggered by various events, such as incoming emails, schedule timings, or actions from other apps, offering a seamless way to enhance your practice management operations.

Connect Senta#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    senta: {
      type: "app",
      app: "senta",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.senta.$auth.subdomain}.senta.co/api/jobs`,
      headers: {
        "x-auth": `${this.senta.$auth.api_key}`,
        "accept": `application/json`,
      },
      params: {
        cid: `{{your_client_id}}`,
      },
    })
  },
})

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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