Integrate the SumUp API with the Python API

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

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Popular Ways to Connect SumUp with Python#

Run Python Code with Python API on New Transaction from SumUp API

SumUp + Python

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Popular SumUp and Python Triggers#

New Transaction from the SumUp API

Emit new event when a new transaction is posted in SumUp. See the documenation

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Popular SumUp and Python Actions#

Get Merchant Profile with the SumUp API

Retrieves merchant profile data. See the documenation

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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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List Transactions with the SumUp API

Lists detailed history of all transactions associated with the merchant profile. See the documenation

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Retrieve DBA with the SumUp API

Retrieves Doing Business As profile. See the documenation

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Overview of SumUp#

The SumUp API allows you to integrate your payment processing operations with SumUp's payment platform, creating seamless financial transactions for your business. With Pipedream, you can automate payment flows, sync transaction data with other tools, and build custom notifications based on payment events. You can use Pipedream’s serverless platform to trigger workflows on various SumUp events, process the data, and connect with countless other apps to extend functionality.

Connect SumUp#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sumup: {
      type: "app",
      app: "sumup",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.sumup.com/v0.1/me`,
      headers: {
        Authorization: `Bearer ${this.sumup.$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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