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Overview
Automates your complete social media content pipeline: sources articles from Wallabag RSS, generates platform-specific posts with AI, creates contextual images, and publishes via GetLate API. Built with 63 nodes across two workflows to handle LinkedIn, Instagram, and Bluesky—with easy expansion to more platforms.
Ideal for: Content marketers, solo creators, agencies, and community managers maintaining a consistent multi-platform presence with minimal manual effort.
How It Works
Two-Workflow Architecture:
- Content Aggregation Workflow
- Monitors Wallabag RSS feeds for tagged articles (#to-share-linkedin, #to-share-instagram, etc.)
- Extracts and converts content from HTML to Markdown
- Stores structured data in Airtable with platform assignment
- AI Generation & Publishing Workflow
- Scheduled trigger queries Airtable for unpublished content
- Routes to platform-specific sub-workflows (LinkedIn, Instagram, Bluesky)
- LLM generates optimized post text and image prompts based on custom brand parameters
- Optionally generates AI images and hosts them on Imgbb CDN
- Publishes via GetLate API (immediate or draft mode)
- Updates Airtable with publication status and metadata
Key Features:
- Tag-based content routing using Wallabag's native system
- Swappable AI providers (Groq, OpenAI, Anthropic)
- Platform-specific optimization (tone, length, hashtags, CTAs)
- Modular design—duplicate sub-workflows to add new platforms in ~30 minutes
- Centralized Airtable tracking with 17 data points per post
Set Up Steps
Setup time: ~45-60 minutes for initial configuration
- Create accounts and get API keys (~15 min)
- Wallabag (with RSS feeds enabled)
- GetLate (social media publishing)
- Airtable (create base with provided schema—see sticky notes)
- LLM provider (Groq, OpenAI, or Anthropic)
- Image service (Hugging Face, Fal.ai, or Stability AI)
- Imgbb (image hosting)
- Configure n8n credentials (~10 min)
- Add all API keys in n8n's credential manager
- Detailed credential setup instructions in workflow sticky notes
- Set up Airtable database (~10 min)
- Create "RSS Feed - Content Store" base
- Add 19 required fields (schema provided in workflow sticky notes)
- Get Airtable base ID and API key
- Customize brand prompts (~15 min)
- Edit "Set Custom SMCG Prompt" node for each platform
- Define brand voice, tone, goals, audience, and image preferences
- Platform-specific examples provided in sticky notes
- Configure platform settings (~10 min)
- Set GetLate account IDs for each platform
- Enable/disable image generation per platform
- Choose immediate publish vs. draft mode
- Adjust schedule trigger frequency
- Test and deploy
- Tag test articles in Wallabag
- Monitor the first few executions in draft mode
- Activate workflows when satisfied with the output
Important: This is a proof-of-concept template. Test thoroughly with draft mode before production use. Detailed setup instructions, troubleshooting tips, and customization guidance are in the workflow's sticky notes.
Technical Details
- 63 nodes: 9 Airtable operations, 8 HTTP requests, 7 code nodes, 3 LangChain LLM chains, 3 RSS triggers, 3 GetLate publishers
- Supports: Multiple LLM providers, multiple image generation services, unlimited platforms via modular architecture
- Tracking: 17 metadata fields per post, including publish status, applied parameters, character counts, hashtags, image URLs
Prerequisites
- n8n instance (self-hosted or cloud)
- Accounts: Wallabag, GetLate, Airtable, LLM provider, image generation service, Imgbb
- Basic understanding of n8n workflows and credential configuration
- Time to customize prompts for your brand voice
Detailed documentation, Airtable schema, prompt examples, and troubleshooting guides are in the workflow's sticky notes.
Category Tags
#social-media-automation, #ai-content-generation, #rss-to-social, #multi-platform-posting, #getlate-api, #airtable-database, #langchain, #workflow-automation, #content-marketing