The Recap AI + AI Automation Mastery n8n Workflows

Collection of n8n workflows and automations created and maintained by The Recap AI — Join our free community AI Automation Mastery to connect with AI builders learn how to build n8n automations step-by-step.

Workflows

• ai_scraping_pipeline.json - Uses Google News, Firecrawl, and rss.app to scrape virtually any piece of web content and transform it into LLM-ready output.
• twitter_reply_guy_agent.json - Uses a Mention.com Twitter / X keyword monitoring feed to monitor incoming Twitter posts for certain keywords then uses AI to evaluate and post a reply.
• firecrawl_email_scraper.json - Uses firecrawl /map and /scrape endpoints to scrape all email addresses from a given website.
• write_seo_optimized_listicle_article.json - Uses Chat GPT Deep Research output to generate an SEO-optimized article and publish to your CMS.
• ai_news_data_ingestion.json - Automatically ingests and processes AI news content from multiple sources (Google News, AI Subreddits, Hacker News, and more sources) using RSS feeds and evaluates content relevance.
• ai_newsletter_generator.json - Generates AI-focused newsletters by selecting top stories, writing engaging content, and formatting with proper markdown structure.
• firecrawl_scrape_url.json - A reusable workflow that uses Firecrawl to extract the main text content and relevant images from any URL, optimized for content processing and LLM prompting.
• cal_ai_clone_backend.json - Analyzes meal images using AI to estimate calories and nutrition, then returns results as JSON for your app.
• veo_3_viral_bigfoot_vlog_generator.json - Generates a multi-scene, AI-scripted Bigfoot vlog video from a user idea, gets human approval, and creates the final video using VEO 3.
• short_form_video_script_generator.json - Generates a short-form video script using AI based on scraped news stories, optimized for virality and engagement.
• twitter_x_scraping.json - Multiple approaches to scrape tweets from Twitter/X using Apify, then saves tweet data (ID, URL, text, engagement metrics) to Google Sheets for further analysis or automation.