Scrape AI News from Multiple Sources to Markdown & Google Drive with RSS.app

Description

AI News Scraping System

This n8n workflow automates the process of pulling in breaking AI-related headlines from curated RSS feeds, scraping their full content, and saving readable Markdown versions directly to Google Drive.

Use cases include:
Creating a personal newsletter curation system
Automating blog post research workflows
Archiving news content for later summarization or AI use

How it Works

Scheduled Triggers
The workflow runs every 3–4 hours using multiple Schedule Trigger nodes. Each trigger targets a different news source (e.g., Google News, OpenAI Blog, Hugging Face, etc.).

Fetch and Parse Feeds
RSS feeds are fetched via the HTTP Request node. Items from the feed are split into individual entries using the Split Out node.

Scrape Article Content
Each article URL is sent to the Firecrawl API with a prompt to extract only the main content in Markdown. The scraping skips navigation, headers, footers, and ads.

Convert and Save
The extracted Markdown is converted into a .md file using the Convert to File node. The file is then uploaded to a Google Drive folder.

Good to Know

This workflow uses the Firecrawl API for web scraping. Be sure to configure a Generic HTTP Header credential with your API key.
Output files are saved in Markdown format
You can add more Schedule Trigger + HTTP Request pairs to extend this workflow to additional feeds.

Requirements

Firecrawl API account for scraping
Google Drive account (OAuth2 credentials must be configured in n8n)
n8n instance (self-hosted or cloud)

Customization Ideas

Replace or extend RSS feeds with sources relevant to your niche
Load up scraped news stories into a prompt to create new content like TikToks and Reels
Add a summarization step using an LLM like GPT or Claude
Send the Markdown files to Notion, Slack, or a blog CMS

Example Feeds

| Feed Name | URL |
|------------------|----------------------------------------------------------------------|
| Google News (AI) | https://rss.app/feeds/v1.1/AkOariu1C7YyUUMv.json |
| OpenAI Blog | https://rss.app/feeds/v1.1/xNVg2hbY14Z7Gpva.json |
| Hugging Face | https://rss.app/feeds/v1.1/sgHcE2ehHQMTWhrL.json |