This n8n workflow automates the process of converting recipe data stored in a CSV file into SEO-optimized blog posts on a Jekyll-based site. The process begins with a manual trigger or scheduled trigger to update recipes periodically. It reads the CSV file, processes each entry by generating a Markdown post complete with front-matter, and uploads the content directly to a GitHub repository. The workflow also updates the CSV file by removing processed recipes, ensuring that new entries are handled systematically. Optional social media posting nodes are included for promotion. Practical for food bloggers or recipe site managers, this automation streamlines content publishing while maintaining SEO best practices.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, code, extractFromFile, github, linkedIn, manualTrigger, readBinaryFile, scheduleTrigger, splitInBatches, stickyNote, twitter, wait