Integrate the SARE API with the Python API

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

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Popular SARE and Python Actions#

Add Email with the SARE API

Add an email to SARE. Optionally, assign the subscriber to a group. 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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Remove Email from Groups with the SARE API

Remove email from specified groups in SARE. See the documentation

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Send Transactional Email with the SARE API

Send a transactional email. See the documentation

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Overview of SARE#

The SARE API provides robust tools for email marketing and automation, enabling users to manage subscribers, send emails, and analyze campaigns directly via API. By leveraging SARE's features on Pipedream, you can automate workflows involving email operations, integrate with other platforms for enhanced data handling and customer engagement, and streamline communications in various marketing campaigns. This integration can particularly benefit marketers looking to automate responses based on subscriber behavior or integrate email marketing metrics with other business tools.

Connect SARE#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sare: {
      type: "app",
      app: "sare",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://s.enewsletter.pl/api/v1/${this.sare.$auth.uid}/email/props`,
      headers: {
        "ApiKey": `${this.sare.$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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