Namecheap

Powering Internet freedom through domains, hosting, security, and more — everything you need to make more online, for less.

Integrate the Namecheap API with the Python API

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

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.

 
Try it

Overview of Namecheap

The Namecheap API provides a suite of functions to automate domain management tasks, enabling you to register, configure, and manage domains programmatically. With Pipedream's integration, you can create workflows that react to specific events or schedule domain-related operations, streamlining processes like domain registration, DNS management, and domain renewal reminders. By leveraging Pipedream's serverless platform, you can connect the Namecheap API with other services, set up cron jobs, and handle webhooks to create custom, automated workflows.

Connect Namecheap

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    namecheap: {
      type: "app",
      app: "namecheap",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.sandbox.namecheap.com/xml.response`,
      params: {
        ApiUser: `${this.namecheap.$auth.username}`,
        ApiKey: `${this.namecheap.$auth.api_key}`,
        UserName: `${this.namecheap.$auth.username}`,
        Command: `namecheap.users.getBalances`,
        ClientIp: `34.201.71.54`,
      },
    })
  },
})

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

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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}}