Airship

The Airship App Experience Platform (AXP) is the only enterprise SaaS platform focused 100% on helping brands master the full lifecycle of mobile app experience

Integrate the Airship API with the Python API

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

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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.

 
Try it

Overview of Airship

The Airship API provides tools to engage customers across SMS, email, app notifications, and more. By leveraging this API, you can automate messaging based on user behavior, preferences, and lifecycle events. Integrating Airship with Pipedream allows you to connect these communication capabilities with hundreds of other services to build robust, automated workflows. This lets you craft personalized customer journeys, respond promptly to user actions, and monitor the effectiveness of different communication strategies.

Connect Airship

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    airship: {
      type: "app",
      app: "airship",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://go.urbanairship.com/api/schedules`,
      auth: {
        username: `${this.airship.$auth.app_key}`,
        password: `${this.airship.$auth.master_secret}`,
      },
    })
  },
})

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

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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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo