Automated Content Extraction and Upload to Google Drive

This n8n workflow automates the process of fetching, parsing, generating, and uploading content related to URLs and Markdown data. It is triggered by a form submission, which initiates a series of steps including URL mapping, batch processing, Markdown extraction, text generation with OpenAI models, and finally, uploading files to Google Drive.

The process begins with the ‘Trigger — Form (Create LLM KB)’, where a form submission triggers the workflow. The URLs are then mapped and split into batches via the ‘Firecrawl — Map URLs’ and ‘Split URLs’ nodes. These URLs are used to fetch Markdown content through HTTP requests (‘Extract Markdown (Parsera)’ and ‘Extract Markdown (Parsera – Single)’).

The Markdown content is then processed to generate text using OpenAI’s language models, either in batch or single mode (‘LLMs.txt Generator (OpenAI – Batch)’ and ‘LLMs.txt Generator (OpenAI – Single)’). Text files are created from the generated content and converted into suitable formats for upload.

Finally, the workflow uploads individual or batch files into specified Google Drive folders, making it efficient for content curation, knowledge base creation, or document management. The use of sticky notes throughout suggests placeholders for notes or documentation, aiding workflow management and troubleshooting.

This automation is especially useful for content creators, knowledge managers, or teams leveraging AI for content generation, enabling seamless onboarding of URLs and Markdown content into cloud storage with minimal manual effort.