Integrate the E-conomic API with the Python API

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

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Popular E-conomic and Python Actions#

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 E-conomic#

The E-conomic API allows for the automation of accounting tasks, enabling seamless integration of financial data into custom workflows. With Pipedream's capability to connect to the E-conomic API, you can trigger actions based on invoice creation, update financial records in real-time, and sync data across various business tools. By harnessing this API, businesses can streamline their financial processes, reduce manual data entry, and gain clearer insights into their financial health.

Connect E-conomic#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    e_conomic: {
      type: "app",
      app: "e_conomic",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://restapi.e-conomic.com/self`,
      headers: {
        "X-AppSecretToken": `${this.e_conomic.$auth.app_secret_token}`,
        "X-AgreementGrantToken": `${this.e_conomic.$auth.agreement_grant_token}`,
        "Content-Type": `application/json`,
      },
    })
  },
})

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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