Rafflys

Instagram Giveaway Picker. Create free Instagram giveaways & sweepstakes for free.

Integrate the Rafflys API with the Python API

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

Run Python Code with Python API on New Lead from Rafflys API
Rafflys + Python
 
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New Lead from the Rafflys API

Emit new event when a lead is collected.

 
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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 Rafflys

Rafflys API provides tools to create and manage online raffles and contests, paving the way for engagement and promotional activities. Within Pipedream, you can leverage this API to build automations that enhance the way you run contests, connect with your audience, and analyze engagement data. By integrating Rafflys with other apps on Pipedream, you can craft workflows that streamline contest operations, notify winners, or even sync data with marketing platforms.

Connect Rafflys

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    rafflys: {
      type: "app",
      app: "rafflys",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app-sorteos.com/api/v2/users/me`,
      headers: {
        "X-API-KEY": `${this.rafflys.$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

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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}}