Integrate the KickoffLabs API with the Python API

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

Popular KickoffLabs and Python Actions#

Create or Update Lead with the KickoffLabs API

Adds a new lead or modifies an existing lead on your campaign. 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 Campaign Status with the KickoffLabs API

Fetches campaign overview stats. See the documentation.

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Remove Lead from Campaign with the KickoffLabs API

Remove a lead from your campaign. See the documentation.

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Overview of KickoffLabs#

The KickoffLabs API enables you to automate your referral marketing campaigns by integrating with their service. With this API, you can programmatically manage campaigns, leads, and rewards, allowing you to dynamically respond to new sign-ups or reward achievements. By connecting the KickoffLabs API to Pipedream, you can create powerful workflows that react to events in real-time, synchronize data across multiple services, or even trigger custom logic tailored to your marketing strategy.

Connect KickoffLabs#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    kickofflabs: {
      type: "app",
      app: "kickofflabs",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "post",
      url: `https://api.kickofflabs.com/v1/${this.kickofflabs.$auth.campaign_id}/subscribe`,
      headers: {
        "Content-Type": `application/json`,
      },
      params: {
        email: `sergio@pipekit.pro`,
        api_key: `${this.kickofflabs.$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}}