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Zenler

All In One Course Creation, Delivery & Marketing Platform

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HTTP / Webhook

Integrate the Zenler API with the HTTP / Webhook API

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

Popular Ways to Connect Zenler with HTTP / Webhook

Create User with Zenler API on New Requests from HTTP / Webhook API
HTTP / Webhook + Zenler
 
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Enroll User with Zenler API on New Requests from HTTP / Webhook API
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Register Live Class with Zenler API on New Requests from HTTP / Webhook API
HTTP / Webhook + Zenler
 
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Register Live Webinar with Zenler API on New Requests from HTTP / Webhook API
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Subscribe Funnel with Zenler API on New Requests from HTTP / Webhook API
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Popular Zenler and HTTP / Webhook Triggers

New Requests from the HTTP / Webhook API

Get a URL and emit the full HTTP event on every request (including headers and query parameters). You can also configure the HTTP response code, body, and more.

 
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New Requests (Payload Only) from the HTTP / Webhook API

Get a URL and emit the HTTP body as an event on every request

 
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New Course Completed from the Zenler API

Emit new event when a course is completed. See the docs here

 
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New Funnel Subscription from the Zenler API

Emit new event when a funnel is created. See the docs here

 
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New Lesson Complete from the Zenler API

Emit new event when a lesson is completed. See the docs here

 
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Popular Zenler and HTTP / Webhook Actions

Create User with the Zenler API

Creates a user. See the docs here

 
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Enroll User with the Zenler API

Enrolls a user to a course. See the docs here

 
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Send any HTTP Request with the HTTP / Webhook API

Send an HTTP request using any method and URL. Optionally configure query string parameters, headers, and basic auth.

 
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Send GET Request with the HTTP / Webhook API

Send an HTTP GET request to any URL. Optionally configure query string parameters, headers and basic auth.

 
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Send POST Request with the HTTP / Webhook API

Send an HTTP POST request to any URL. Optionally configure query string parameters, headers and basic auth.

 
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Overview of Zenler

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.

Connect Zenler

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    zenler: {
      type: "app",
      app: "zenler",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.newzenler.com/api/v1/users`,
      headers: {
        "X-API-Key": `${this.zenler.$auth.api_key}`,
        "X-Account-Name": `${this.zenler.$auth.account_name}`,
      },
    })
  },
})

Overview of HTTP / Webhook

Build, test, and send HTTP requests without code using your Pipedream workflows. The HTTP / Webhook action is a tool to build HTTP requests with a Postman-like graphical interface.

An interface for configuring an HTTP request within Pipedream's workflow system. The current selection is a GET request with fields for the request URL, authorization type (set to 'None' with a note explaining "This request does not use authorization"), parameters, headers (with a count of 1, though the detail is not visible), and body. Below the main configuration area is an option to "Include Response Headers," and a button labeled "Configure to test." The overall layout suggests a user-friendly, no-code approach to setting up custom HTTP requests.

Point and click HTTP requests

Define the target URL, HTTP verb, headers, query parameters, and payload body without writing custom code.

A screenshot of Pipedream's HTTP Request Configuration interface with a GET request type selected. The request URL is set to 'https://api.openai.com/v1/models'. The 'Auth' tab is highlighted, indicating that authentication is required for this request. In the headers section, there are two headers configured: 'User-Agent' is set to 'pipedream/1', and 'Authorization' is set to 'Bearer {{openai_api_key}}', showing how the OpenAI account's API key is dynamically inserted into the headers to handle authentication automatically.

Here's an example workflow that uses the HTTP / Webhook action to send an authenticated API request to OpenAI.

Focus on integrating, not authenticating

This action can also use your connected accounts with third-party APIs. Selecting an integrated app will automatically update the request’s headers to authenticate with the app properly, and even inject your token dynamically.

This GIF depicts the process of selecting an application within Pipedream's HTTP Request Builder. A user hovers the cursor over the 'Auth' tab and clicks on a dropdown menu labeled 'Authorization Type', then scrolls through a list of applications to choose from for authorization purposes. The interface provides a streamlined and intuitive method for users to authenticate their HTTP requests by selecting the relevant app in the configuration settings.

Pipedream integrates with thousands of APIs, but if you can’t find a Pipedream integration simply use Environment Variables in your request headers to authenticate with.

Compatible with no code actions or Node.js and Python

The HTTP/Webhook action exports HTTP response data for use in subsequent workflow steps, enabling easy data transformation, further API calls, database storage, and more.

Response data is available for both coded (Node.js, Python) and no-code steps within your workflow.

An image showing the Pipedream interface where the HTTP Webhook action has returned response data as a step export. The interface highlights a structured view of the returned data with collapsible sections. We can see 'steps.custom_request1' expanded to show 'return_value' which is an object containing a 'list'. Inside the list, an item 'data' is expanded to reveal an element with an 'id' of 'whisper-1', indicating a model created by and owned by 'openai-internal'. Options to 'Copy Path' and 'Copy Value' are available for easy access to the data points.

Connect HTTP / Webhook

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// To use any npm package on Pipedream, just import it
import axios from "axios"

export default defineComponent({
  async run({ steps, $ }) {
    const { data } = await axios({
      method: "GET",
      url: "https://pokeapi.co/api/v2/pokemon/charizard",
    })
    return data.species
  },
})

Community Posts

A Look at Pipedream
A Look at Pipedream
I'm going to build a workflow that will search Twitter every hour for a keyword. It will take the results, format them nicely, and then email it.
Building a Traffic-Based Workflow in Pipedream
Building a Traffic-Based Workflow in Pipedream
Normally I don't like to blog about stuff that isn't generally available to all, but as it will be available sometime soon, I decided to go ahead anyway. And I built something really cool I want to share so that's another reason to talk about this now!
Pipedream, Inc. — San Francisco, CA
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