Integrate the SendPulse API with the Python API

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

Popular SendPulse and Python Actions#

Retrieve General Information About a Specific Email Address with the SendPulse API

Make a GET request to https://api.sendpulse.com/emails/{email}

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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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Unsubscribe a Contact From a Defined Mailing List with the SendPulse API

Make a POST request to https://api.sendpulse.com/addressbooks/{id}/emails/unsubscribe

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Overview of SendPulse#

The SendPulse API taps into the power of multi-channel marketing automation, enabling you to manage mailing lists, send emails, and analyze campaign performance. By leveraging Pipedream, you can stitch SendPulse into a network of apps to create automated workflows. Imagine syncing new sign-ups from your CRM to SendPulse, triggering personalized email sequences based on customer behavior, or pulling campaign stats into your analytics dashboard - All in real-time and without writing a single line of server-side code.

Connect SendPulse#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sendpulse: {
      type: "app",
      app: "sendpulse",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.sendpulse.com/senders`,
      headers: {
        Authorization: `Bearer ${this.sendpulse.$auth.oauth_access_token}`,
      },
    })
  },
})

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}}