PayPal

Send Money, Pay Online or Set Up a Merchant Account

Integrate the PayPal API with the Python API

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

Run Python Code with Python API on New Payment Event (Instant) from PayPal API
PayPal + Python
 
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New Payment Event (Instant) from the PayPal API

Emits a new event on a new payment webhook event. See webhooks docs here and Events Types docs here

 
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Get User Info with the PayPal API

Shows user profile information. See docs here

 
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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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Overview of PayPal

The PayPal API on Pipedream allows you to automate payment processing, manage transactions, and streamline financial operations within your applications. By leveraging Pipedream's serverless platform, you can craft customized workflows that trigger on specific PayPal events, such as successful payments or disputes. Harness the power of automations to synchronize transaction data across diverse systems, send notifications, or even analyze financial trends.

Connect PayPal

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    paypal: {
      type: "app",
      app: "paypal",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.paypal.$auth.app_type}.paypal.com/v1/identity/oauth2/userinfo`,
      headers: {
        Authorization: `Bearer ${this.paypal.$auth.oauth_access_token}`,
      },
      params: {
        schema: `paypalv1.1`,
      },
    })
  },
})

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}}