Backup Squarespace Code Injections to GitHub
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This workflow backs up Squarespace header and footer code injections to a GitHub repository.
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About This Workflow
Overview
This workflow automates the process of backing up the header and footer code injections from a Squarespace website to a specified GitHub repository. It fetches the code injections, cleans them up by removing extraneous elements, and then commits them to GitHub. This ensures a version-controlled backup of your custom scripts and styles.
Key Features
- Fetches header and footer code injections from Squarespace.
- Cleans up the fetched code by removing unnecessary Squarespace-specific elements.
- Commits the cleaned code injections to a GitHub repository.
- Organizes injections into site-specific folders within the repository.
- Can be scheduled to run at regular intervals.
How To Use
- Import the workflow into your n8n instance.
- Configure the
Get Squarespace datanode by setting theWEBHOOK_URLenvironment variable to your Squarespace site's URL. - Update the
Globalsnode with your GitHub repository details:repo.owner: Your GitHub username.repo.name: The name of your GitHub repository.repo.path: The desired folder path within your repository to store the backups (e.g.,squarespace-backup/). Each site will have its own subfolder.
- Configure the
Create commitnode with your GitHub Personal Access Token and repository information. - Set up a
Schedule Triggerto define how often you want the backup to run (e.g., every 2 hours). - Execute the workflow manually to test the setup or let the schedule trigger run it automatically.
Apps Used
Workflow JSON
{
"id": "d837ba6d-a380-4fbc-8df8-433c55d75131",
"name": "Backup Squarespace Code Injections to GitHub",
"nodes": 0,
"category": "website-management",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: d837ba6d-a380...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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