Integrate the Splynx API with the Python API

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

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Popular Splynx and Python Actions#

Create Customer with the Splynx API

Creates a new customer with the provided details. 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 Internet Service with the Splynx API

Creates a new internet service with specified details. See the documentation

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List Customers with the Splynx API

Get a list of your customers. See the documentation

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Update Customer with the Splynx API

Updates information of an existing customer. See the documentation

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Overview of Splynx#

The Splynx API provides a gateway to manage and automate Internet Service Provider (ISP) tasks such as billing, networking, and customer management. By tapping into this API via Pipedream, you can create robust integrations and workflows that streamline operations, enhance customer service, and drive data-driven decisions. Pipedream's platform enables the connection of Splynx's features with hundreds of other apps without the need for extensive coding, facilitating task automation and data synchronization in real-time.

Connect Splynx#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    splynx: {
      type: "app",
      app: "splynx",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.splynx.$auth.subdomain}.splynx.app/api/2.0/admin/customers/customer`,
      headers: {
        "Authorization": `Splynx-EA (access_token=${this.splynx.$auth.oauth_access_token})`,
      },
    })
  },
})

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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