Poof

Empowering millions of digital businesses & creators with payments from crypto to fiat.

Integrate the Poof API with the Python API

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

Run Python Code with Python API on New Payment Made from Poof API
Poof + Python
 
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New Payment Made from the Poof API

Emit new events when a payment is made in Poof. See the documentation

 
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Create Deposit Address with the Poof API

Creates a new deposit address in Poof. 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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List Transactions with the Poof API

Retrieve a list of transactions in Poof. See the documentation

 
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Send Transaction with the Poof API

Sends a transaction in Poof. See the documentation

 
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Overview of Poof

The Poof API lets you schedule and automate emails and SMS messages, making it a powerful tool for communication-based workflows. With Pipedream, you can connect the Poof API to hundreds of other services to craft custom automations. Trigger events, process data, and design complex interactions without managing a server infrastructure.

Connect Poof

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    poof: {
      type: "app",
      app: "poof",
    }
  },
  async run({steps, $}) {
    const data = {
      "crypto": `bitcoin`,
    }
    return await axios($, {
      method: "post",
      url: `https://www.poof.io/api/v2/balance`,
      headers: {
        "Authorization": `${this.poof.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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

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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}}