How To Automate Twitter with N8N & ChatGPT (No-Code Hack!)

Introduction

In today's digital age, social media presence plays a vital role in promoting content and engaging with audiences. In this article, we will explore how to automate Twitter posts using N8N and ChatGPT, allowing you to generate compelling tweets effortlessly. This tutorial is inspired by a request from Jason at Southbay Creations and aims to show how to connect Twitter to N8N while integrating AI to enhance your Twitter content creation. Let’s dive into the process step by step.

The Game Plan

The primary goal is to utilize AI to automatically create Twitter posts from a video transcript and a video link. By training the AI on existing Twitter posts, we can ensure our generated content is high-quality and engaging. Below is an outline of the workflow we'll be using.

Extract Twitter Posts: Using a quick method to gather existing tweets to train the AI.
Setup AI Assistant: Configure ChatGPT to generate Twitter posts based on input data.
Connect to N8N: Create a workflow that ties everything together and elicits outputs from ChatGPT to Twitter.

Extracting Twitter Posts

To start the automation process, we need to gather a collection of relevant Twitter posts. For this, we will use a browser extension like Xpath Helper to scrape tweets. While there are better Twitter scrapers available, this quick method can be effective.

Step-by-step Extraction:

Install the Xpath Helper extension.
Navigate to Twitter and search for relevant topics.
Right-click on the tweet text, select ‘Inspect Element’, and copy the Xpath.
Adjust the copied Xpath to capture all relevant tweets from the page.
Continue scrolling and extracting tweets until you've compiled a decent dataset.

Once you have all the posts, save them in a notepad for training the AI.

Setting Up the AI Assistant

Next, we configure an AI assistant using OpenAI’s Playground. Here, we craft a prompt specifying how to generate Twitter posts.

Prompt example: