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n8n: FetchRelay Webpage to Markdown, Upload to Google Drive

n8n: FetchRelay Webpage to Markdown, Upload to Google Drive

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n8n: FetchRelay Webpage to Markdown, Upload to Google Drive

n8n: FetchRelay Webpage to Markdown, Upload to Google Drive

Regular price £12.99
Regular price £12.99 Sale price
SAVE Sold out

Turn any public webpage into a clean Markdown archive—and save it to Google Drive

This n8n workflow lets you manually extract the main content of a public webpage as Markdown using FetchRelay, then automatically uploads the resulting .md file to a chosen `Google Drive` folder.

What this workflow does

  • Runs manually when you execute the workflow.
  • Sets the target webpage URL you want to archive.
  • Calls the FetchRelay scrape API with your URL to extract the page’s main content in Markdown format.
  • Validates the extraction: if FetchRelay returns unusable Markdown or extraction warnings, the workflow stops with an error.
  • Converts the Markdown text into a .md file.
  • Uploads the generated Markdown file to your selected Google Drive folder.

Use cases

  • Content archiving: capture the core content of public landing pages, docs pages, or blog posts as Markdown for later review.
  • Knowledge retention: store webpage snapshots in Google Drive so your team can reference them even if the source changes.
  • SaaS operations workflows: periodically archive release notes or support pages into structured Markdown documents.

Technical details

  • FetchRelay integration via HTTP Request: uses an Authorization: Bearer <YOUR_FETCHRELAY_API_KEY> header.
  • Workflow logic nodes include set, code, and a sticky note for guidance.
  • Markdown to file conversion using Convert to File.
  • Google Drive upload to a selected destination Drive and folder using the Google Drive node.

Setup

  • Add a FetchRelay API key and configure HTTP header auth to send Authorization: Bearer <YOUR_FETCHRELAY_API_KEY>.
  • Add a Google Drive OAuth credential and choose the destination folder.
  • Update the Website URL step with the public page you want to scrape.
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