Integrate the Sendicate API with the Python API

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

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Popular Sendicate and Python Actions#

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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Overview of Sendicate#

Sendicate is an email marketing service that allows you to design, send, and track stunning email campaigns. With its intuitive interface and powerful features, it's built for creating engaging newsletters and marketing emails. Using Pipedream, you can leverage the Sendicate API to automate email campaign management, contact list updates, and performance analytics. Whether you're syncing subscriber data, triggering campaign sends based on specific actions, or analyzing email engagement, Pipedream's no-code platform can craft custom workflows that connect Sendicate seamlessly with hundreds of other services.

Connect Sendicate#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sendicate: {
      type: "app",
      app: "sendicate",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.sendicate.net/v1/lists`,
      headers: {
        "Authorization": `token ${this.sendicate.$auth.api_token}`,
        "Content-Type": `application/json`,
        "Accept": `application/json`,
      },
    })
  },
})

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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