Integrate the Finmei API with the Python API

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

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Popular Finmei and Python Actions#

Create Invoice with the Finmei API

Generates a new invoice within Finmei. 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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Overview of Finmei#

The Finmei API offers access to a platform geared towards financial data management. With Pipedream, you can harness this API to craft serverless workflows that automate financial tasks, integrate with other services, and streamline data analysis. This includes tracking expenses, aggregating financial reports, or syncing data across different financial tools. Pipedream's no-code platform allows you to connect Finmei to hundreds of other apps, trigger actions based on various events, and manage data with built-in CRON scheduling.

Connect Finmei#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    finmei: {
      type: "app",
      app: "finmei",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.finmei.com/api/profile`,
      headers: {
        Authorization: `Bearer ${this.finmei.$auth.api_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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