Integrate the Ramp (Sandbox) API with the Python API

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

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Popular Ways to Connect Ramp (Sandbox) with Python#

Run Python Code with Python API on New Transaction Created from Ramp (Sandbox) API

Ramp (Sandbox) + Python

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Run Python Code with Python API on Transaction Status Updated from Ramp (Sandbox) API

Ramp (Sandbox) + Python

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Run Python Code with Python API on Transfer Payment Updated from Ramp (Sandbox) API

Ramp (Sandbox) + Python

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Popular Ramp (Sandbox) and Python Triggers#

New Transaction Created from the Ramp (Sandbox) API

Emit new event for each new transaction created in Ramp.

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Transaction Status Updated from the Ramp (Sandbox) API

Emit new event when there is a change in transaction status.

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Transfer Payment Updated from the Ramp (Sandbox) API

Emit new event when the status of a transfer payment changes

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Popular Ramp (Sandbox) and Python Actions#

Create User Invite with the Ramp (Sandbox) API

Sends out an invite for a new user. 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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Issue Virtual Card with the Ramp (Sandbox) API

Creates a new virtual card for a given user. See the documentation

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Upload Receipt with the Ramp (Sandbox) API

Uploads a receipt for a given transaction and user. See the documentation

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Overview of Ramp (Sandbox)#

The Ramp (Sandbox) API provides programmatic access to manage corporate cards and spending in a controlled environment, ideal for testing and development. With this API on Pipedream, developers can automate financial operations, synchronize accounting data, and streamline expense management workflows. Leveraging Pipedream's capabilities, users can integrate Ramp with other services to enhance financial visibility, automate reconciliation processes, and trigger actions based on spending activities.

Connect Ramp (Sandbox)#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ramp_sandbox: {
      type: "app",
      app: "ramp_sandbox",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://demo-api.ramp.com/developer/v1/business`,
      headers: {
        Authorization: `Bearer ${this.ramp_sandbox.$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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