What do you want to automate

with MoonClerk and Python?

Prompt, edit and deploy AI agents that connect to MoonClerk, Python and 2,500+ other apps in seconds.

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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.

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

Overview of MoonClerk

The MoonClerk API offers a streamlined way to manage and automate payments and billing processes directly within your applications. With Pipedream, you can harness this API to create custom workflows that trigger actions based on payment events, update customer subscriptions, sync with accounting software, and more. It's a powerful tool for businesses looking to automate their financial operations and integrate their payment system with other digital tools.

Connect MoonClerk

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    moonclerk: {
      type: "app",
      app: "moonclerk",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.moonclerk.com/customers`,
      headers: {
        "Authorization": `Token token=${this.moonclerk.$auth.api_key}`,
        "Accept": `application/vnd.moonclerk+json;version=1`,
      },
    })
  },
})

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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo