Integrate the Rejoiner API with the Python API

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

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Popular Ways to Connect Rejoiner with Python#

Run Python Code with Python API on New Contact in List from Rejoiner API

Rejoiner + Python

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Popular Rejoiner and Python Triggers#

New Contact in List from the Rejoiner API

Emit new event when a contact is added to the specified list. See the documentation.

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Popular Rejoiner and Python Actions#

Add Customer to List with the Rejoiner API

Adds a customer to a specific list, or if the customer already exists, will update the record of that customer with the supplied data. 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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Start Journey with the Rejoiner API

Triggers the beginning of a customer journey in Rejoiner. See the documentation

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Update Customer Profile with the Rejoiner API

Updates a customer's profile information. See the documentation

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Connect Rejoiner#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    rejoiner: {
      type: "app",
      app: "rejoiner",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://rj2.rejoiner.com/api/v2/${this.rejoiner.$auth.site_id}/ping/`,
      headers: {
        "Authorization": `Rejoiner ${this.rejoiner.$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}}

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