Integrate the Starloop API with the Python API

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

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Popular Ways to Connect Starloop with Python#

Run Python Code with Python API on New Profile Created from Starloop API

Starloop + Python

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Popular Starloop and Python Triggers#

New Profile Created from the Starloop API

This source triggers when a new profile is created in Starloop.

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Popular Starloop and Python Actions#

List IDs with the Starloop API

Returns your business id and a list of all profile id’s and names. 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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Send Invite with the Starloop API

Creates a new recipient and sends a Starloop invite (Email | SMS | both) to your customer to leave a review. See the documentation

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Overview of Starloop #

The Starloop API provides a pathway to streamline customer feedback management by allowing the automation of review requests, monitoring of multiple review sites, and analysis of customer sentiment. With Pipedream, you can craft serverless workflows that leverage these capabilities, integrating Starloop's functionalities with other apps and services to amplify your customer relationship strategies.

Connect Starloop #

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    starloop: {
      type: "app",
      app: "starloop",
    }
  },
  async run({steps, $}) {
    const data = {
      "token": `${this.starloop.$auth.api_key}`,
    }
    return await axios($, {
      method: "post",
      url: `https://go.starloop.com/api/list_ids`,
      headers: {
        "Content-Type": `application/json`,
        "accept": `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#

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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