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integrationOn2Air node
HTTP Request
integrationRead AI node
HTTP Request

On2Air and Read AI integration

n8n lets you integrate On2Air with Read AI to build powerful workflows. Design automation that extracts, transforms and loads data between your apps and services. You can choose from a wide range of operations supported by a product's API and use n8n’s HTTP Request node to make custom API calls. Connect apps that are both in and outside n8n’s apps library.

Integrate On2Air and Read AI

Build your own On2Air and Read AI integration

Create custom On2Air and Read AI workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

How to integrate On2Air and Read AI

  • Step 1: Add the first step

  • Step 2: Add and configure On2Air and Read AI using the HTTP Request nodes

  • Step 3: Connect On2Air and Read AI

  • Step 4: Run workflow

Pulling data from services that n8n doesn’t have a pre-built integration for

You still can use the app in a workflow even if we don’t have a node for that or the existing operation for that. With the HTTP Request node, it is possible to call any API point and use the incoming data in your workflow

Main use cases:

  • Connect with apps and services that n8n doesn’t have integration with
  • Web scraping

How it works
This workflow can be divided into three branches, each serving a distinct purpose:

1.Splitting into Items (HTTP Request - Get Mock Albums):

  • The workflow initiates with a manual trigger (On clicking 'execute').
  • It performs an HTTP request to retrieve mock albums data from "https://jsonplaceholder.typicode.com/albums."
  • The obtained data is split into items using the Item Lists node, facilitating easier management.

2.Data Scraping (HTTP Request - Get Wikipedia Page and HTML Extract):

  • Another branch of the workflow involves fetching a random Wikipedia page using an HTTP request to "https://en.wikipedia.org/wiki/Special:Random."
  • The HTML Extract node extracts the article title from the fetched Wikipedia page.

3.Handling Pagination (The final branch deals with handling pagination for a GitHub API request):

  • It sends an HTTP request to "https://api.github.com/users/that-one-tom/starred," with parameters like the page number and items per page dynamically set by the Set node.
  • The workflow uses conditions (If - Are we finished?) to check if there are more pages to retrieve and increments the page number accordingly (Set - Increment Page).
  • This process repeats until all pages are fetched, allowing for comprehensive data retrieval.

Nodes used in this workflow

Over 3000 companies switch to n8n every single week

Supported methods for On2Air

Delete
Get
Head
Options
Patch
Post
Put

Requires additional credentials set up

Use n8n’s HTTP Request node with a predefined or generic credential type to make custom API calls.

Supported methods for Read AI

Delete
Get
Head
Options
Patch
Post
Put

Requires additional credentials set up

Use n8n’s HTTP Request node with a predefined or generic credential type to make custom API calls.

Looking to integrate On2Air and Read AI in your company?

Why use n8n to integrate On2Air with Read AI

Build complex workflows, really fast

Build complex workflows, really fast

Handle branching, merging and iteration easily.
Pause your workflow to wait for external events.

Code when you need it, UI when you don't

Simple debugging

Your data is displayed alongside your settings, making edge cases easy to track down.

Use templates to get started fast

Use 1000+ workflow templates available from our core team and our community.

Reuse your work

Copy and paste, easily import and export workflows.

Implement complex processes faster with n8n

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