Integrate the Backendless API with the Python API

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

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Popular Backendless 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 Backendless#

Backendless is a visual app development platform that allows developers to create mobile and web apps without needing to manage the backend infrastructure. It offers features like database management, user authentication, real-time data, and serverless hosting. With the Backendless API on Pipedream, you can automate workflows, sync data across apps, process data triggers, and handle user actions in real-time. It's perfect for extending app capabilities, integrating with third-party services, and automating repetitive tasks.

Connect Backendless#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    backendless: {
      type: "app",
      app: "backendless",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.backendless.$auth.subdomain}.backendless.app/api/users/${this.backendless.$auth.oauth_uid}`,
      headers: {
        Authorization: `Bearer ${this.backendless.$auth.oauth_access_token}`,
        "Content-Type": `application/json`,
        "user-token": `${this.backendless.$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}}

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