Run Python Code with Python API on New User from Zenler API

Pipedream makes it easy to connect APIs for Python, Zenler and 2,400+ other apps remarkably fast.

Trigger workflow on

New User from the Zenler API

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Run Python Code with the Python API

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Getting Started#

This integration creates a workflow with a Zenler trigger and Python action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New User trigger
1. Connect your Zenler account
2. Configure Polling schedule
Configure the Run Python Code action
1. Connect your Python account
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

New User on Zenler

Description:Emit new event when a user is created. [See the docs here](https://www.newzenler.com/api/documentation/public/api-doc.html#9417d5e4-9951-0933-f562-593e946b52a6)

Version:0.0.2

Key:zenler-new-user

View on GitHub

Zenler Overview#

The Zenler API lets you tap into your online course platform to automate tasks, streamline student engagement, and track course performance. By harnessing the power of the Zenler API on Pipedream, you can create dynamic serverless workflows that respond to course interactions, manage users, and analyze educational content effectiveness, all in real-time. Whether you're looking to enhance the learning experience, or make your course administration more efficient, the Zenler API on Pipedream offers the tools to make it happen.

Trigger Code#

import common from "../common.mjs";

export default {
  ...common,
  key: "zenler-new-user",
  name: "New User",
  description: "Emit new event when a user is created. [See the docs here](https://www.newzenler.com/api/documentation/public/api-doc.html#9417d5e4-9951-0933-f562-593e946b52a6)",
  type: "source",
  version: "0.0.2",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getResourceFn() {
      return this.zenler.getUsers;
    },
    getResourceFnArgs() {
      return {
        orderby: "created_at",
        order: "desc",
      };
    },
    generateMeta(resource) {
      return {
        id: resource.id,
        ts: Date.now(),
        summary: `User ID ${resource.id}`,
      };
    },
  },
};

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
Zenler	`zenler`	`app`	This component uses the Zenler app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Polling schedule	`timer`	`$.interface.timer`	How often to poll the Zenler API

Trigger Authentication#

Zenler uses API keys for authentication. When you connect your Zenler account, Pipedream securely stores the keys so you can easily authenticate to Zenler APIs in both code and no-code steps.

You can get your API Key under the Profile menu on the top right of your Zenler account, then Settings > Integrations Zenler API.
Your account name is 123 if your Zenler URL is https://123.newzenler.com

About Zenler#

All In One Course Creation, Delivery & Marketing Platform

Action#

Run Python Code on Python

Description:Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.

Version:0.0.2

Key:python-run-python-code

View on GitHub

Python Overview#

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:

Action Code#

import python from "../../python.app.mjs";

export default {
  name: "Run Python Code",
  version: "0.0.2",
  key: "python-run-python-code",
  description: "Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.",
  props: {
    python,
  },
  type: "action",
  methods: {},
  async run({
    steps, $,
  }) {
    // Placeholder action for Python code app
  },
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
Python	`python`	`app`	This component uses the Python app.

Run Python Code with Python API on New User from Zenler API

Pipedream makes it easy to connect APIs for Python, Zenler and 2,400+ other apps remarkably fast.

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

Developers ♥ Pipedream

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