Integrate the CurrencyScoop API with the Python API

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

Popular Ways to Connect CurrencyScoop with Python#

Run Python Code with Python API on Exchange Rate Updated from CurrencyScoop API

CurrencyScoop + Python

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Popular CurrencyScoop and Python Triggers#

Exchange Rate Updated from the CurrencyScoop API

Emit new event when the exchange rate for a currency is updated See the documentation

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Popular CurrencyScoop and Python Actions#

Convert Currency with the CurrencyScoop API

Convert a specified amount from one currency to another 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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Get Historical Rates with the CurrencyScoop API

Get historical rates for a currency See the documentation

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Get Latest Exchanges Rates with the CurrencyScoop API

Get the latest exchange rates for a currency See the documentation

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Overview of CurrencyScoop#

The CurrencyScoop API offers real-time and historical exchange rate data, as well as currency conversion and time-series data. By integrating with Pipedream, users can create automated workflows that react to currency fluctuations, update pricing in their apps, or generate financial reports. Pipedream's serverless architecture enables running these workflows on a schedule or in response to certain triggers without managing any infrastructure.

Connect CurrencyScoop#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    currencyscoop: {
      type: "app",
      app: "currencyscoop",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.currencybeacon.com/v1/latest?api_key=${this.currencyscoop.$auth.api_key}`,
    })
  },
})

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}}