Nick Saraev
Hi š I'm Nick. I make money with automation & teach others how they can too. If you have any questions about my templates or about my n8n builds, feel free to ask and I'll happily respond in the comments. Thanks for reading!
Templates by Nick Saraev
Lead generation system: Google Maps to email scraper with Google Sheets export
Google Maps Email Scraper System Categories: Lead Generation, Web Scraping, Business Automation This workflow creates a completely free Google Maps email scraping system that extracts unlimited business emails without requiring expensive third-party APIs. Built entirely in N8N using simple HTTP requests and JavaScript, this system can generate thousands of targeted leads for any industry or location while operating at 99% free cost structure. Benefits Zero API Costs - Operates entirely through free Google Maps scraping without expensive third-party services Unlimited Lead Generation - Extract emails from thousands of Google Maps listings across any industry Geographic Targeting - Search by specific cities, regions, or business types for precise lead targeting Complete Automation - From search query to organized email list with minimal manual intervention Built-in Data Cleaning - Automatic duplicate removal, filtering, and data validation Scalable Processing - Handle hundreds of businesses per search with intelligent rate limiting How It Works Google Maps Search Integration: Uses strategic HTTP requests to Google Maps search URLs Processes search queries like "Calgary + dentist" to extract business listings Bypasses API restrictions through direct HTML scraping techniques Intelligent URL Extraction: Custom JavaScript regex patterns extract website URLs from Google Maps data Filters out irrelevant domains (Google, schema, static files) Returns clean list of actual business websites for processing Smart Website Processing: Loop-based architecture prevents IP blocking through intelligent batching Built-in delays and redirect handling for reliable scraping Processes each website individually with error handling Email Pattern Recognition: Advanced regex patterns identify email addresses within website HTML Extracts contact emails, info emails, and administrative addresses Handles multiple email formats and validation patterns Data Aggregation & Cleaning: Automatically removes duplicate emails across all processed websites Filters null entries and invalid email formats Exports clean, organized email lists to Google Sheets Required Google Sheets Setup Create a Google Sheet with these exact column headers: Search Tracking Sheet: searches - Contains your search queries (e.g., "Calgary dentist", "Miami lawyers") Email Results Sheet: emails - Contains extracted email addresses from all processed websites Setup Instructions: Create Google Sheet with two tabs: "searches" and "emails" Add your target search queries to the searches tab (one per row) Connect Google Sheets OAuth credentials in n8n Update the Google Sheets document ID in all sheet nodes The workflow reads search queries from the first sheet and exports results to the second sheet automatically. Business Use Cases Local Service Providers - Find competitors and potential partners in specific geographic areas B2B Sales Teams - Generate targeted prospect lists for cold outreach campaigns Marketing Agencies - Build industry-specific lead databases for client campaigns Real Estate Professionals - Identify businesses in target neighborhoods for commercial opportunities Franchise Development - Research potential markets and existing competition Market Research - Analyze business density and contact information across regions Revenue Potential This system transforms lead generation economics: $0 per lead vs. $2-5 per lead from paid databases Process 1,000+ leads daily without hitting API limits Sell as a service for $500-2,000 per industry/location Perfect for agencies offering lead generation to local businesses Difficulty Level: Intermediate Estimated Build Time: 1-2 hours Monthly Operating Cost: $0 (completely free) Watch My Complete Build Process Want to watch me build this entire system live from scratch? I walk through every single step - including the JavaScript code, regex patterns, error handling, and all the debugging that goes into creating a bulletproof scraping system. š„ Watch My Live Build: "Scrape Unlimited Leads WITHOUT Paying for APIs (99% FREE)" This comprehensive tutorial shows the real development process - including writing custom JavaScript, handling rate limits, and building systems that actually work at scale without getting blocked. Set Up Steps Basic Workflow Architecture: Set up manual trigger for testing and Google Sheets integration Configure initial HTTP request node for Google Maps searches Enable SSL ignore and response headers for reliable scraping URL Extraction Code Setup: Configure JavaScript code node with custom regex patterns Set up input data processing from Google Maps HTML responses Implement URL filtering logic to remove irrelevant domains Website Processing Pipeline: Add "Split in Batches" node for intelligent loop processing Configure HTTP request nodes with proper delays and redirect handling Set up error handling for websites that can't be scraped Email Extraction System: Implement JavaScript code node with email-specific regex patterns Configure email validation and format checking Set up data aggregation for multiple emails per website Data Cleaning & Export: Configure filtering nodes to remove null entries and duplicates Set up "Split Out" node to aggregate emails into single list Connect Google Sheets integration for organized data export Testing & Optimization: Use limit nodes during testing to prevent IP blocking Test with small batches before scaling to full searches Implement proxy integration for high-volume usage Advanced Optimizations Scale the system with: Multi-Page Scraping: Extract URLs from homepages, then scrape contact pages for more emails Proxy Integration: Add residential proxies for unlimited scraping without rate limits Industry Templates: Create pre-configured searches for different business types Contact Information Expansion: Extract phone numbers, addresses, and social media profiles CRM Integration: Automatically add leads to sales pipelines and marketing sequences Important Considerations Rate Limiting: Built-in delays prevent IP blocking during normal usage Scalability: For high-volume usage, consider proxy services for unlimited requests Compliance: Ensure proper usage rights for extracted contact information Data Quality: System includes filtering but manual verification recommended for critical campaigns Check Out My Channel For more advanced automation systems and business-building strategies that generate real revenue, explore my YouTube channel where I share proven automation techniques used by successful agencies and entrepreneurs.
By Nick SaraevAutomate Instagram content discovery & repurposing w/ Apify, GPT-4o & Perplexity
This workflow creates an end-to-end Instagram content pipeline that automatically discovers trending content from competitor channels, extracts valuable insights, and generates new high-quality scripts for your own content creation. The system helped scale an Instagram channel from 0 to 10,000 followers in just 15 days through intelligent content repurposing. Benefits: Complete Content Automation - Monitors competitor Instagram accounts, downloads new reels, and processes them without manual intervention AI-Powered Script Generation - Uses ChatGPT and Perplexity to analyze content, identify tools/technologies, and rewrite scripts with fresh angles Smart Duplicate Prevention - Automatically tracks processed content in a database to avoid redundant work Multi-Platform Intelligence - Combines Instagram scraping, AI transcription, web research, and content generation in one seamless flow Scalable Content Strategy - Process content from multiple niches and creators to fuel unlimited content ideas Revenue-Focused Approach - Specifically designed to identify monetizable tools and technologies for business-focused content How It Works: Instagram Content Discovery: Uses Apify's Instagram scraper to monitor specified creator accounts for new reels Automatically downloads video content and metadata from target accounts Filters content based on engagement metrics and relevance Intelligent Processing Pipeline: Transcribes video content using OpenAI Whisper for accurate text extraction Filters content using AI to identify tools, technologies, and automation opportunities Cross-references against existing database to prevent duplicate processing Enhanced Research & Analysis: Searches Perplexity AI for additional insights about discovered tools Generates step-by-step usage guides and implementation instructions Identifies unique angles and opportunities for content improvement Script Generation & Optimization: Creates new, original scripts optimized for your specific audience Maintains consistent brand voice while adding fresh perspectives Includes strategic call-to-action elements for audience engagement Required Google Sheets Database Setup: Before running this workflow, create a Google Sheets database with these exact column headers: Essential Columns: id - Unique Instagram post identifier (primary key for duplicate detection) timestamp - When the reel was posted caption - Original reel caption text hashtags - Hashtags used in the post videoUrl - Direct link to download the video file username - Account that posted the reel scrapedTranscript - Original transcript from video (added by workflow) newTranscript - AI-generated script for your content (added by workflow) Additional Tracking Columns: shortCode - Instagram's internal post code url - Public Instagram post URL commentsCount - Number of comments firstComment - Top comment on the post likesCount - Number of likes videoViewCount - View count metrics videoDuration - Length of video in seconds Setup Instructions: Create a new Google Sheet with these column headers in the first row Name the sheet "Reels" Connect your Google Sheets OAuth credentials in n8n Update the document ID in the workflow nodes The merge logic relies on the id column to prevent duplicate processing, so this structure is essential for the workflow to function correctly. Business Use Cases: Content Creators - Scale content production by 10x while maintaining quality and originality Marketing Agencies - Offer content research and ideation as a premium service Course Creators - Identify trending tools and technologies for educational content Revenue Potential: This exact system can be sold as a service for $3,000-$5,000 to growing channels or agencies. The automation saves 10+ hours weekly of manual research and content planning. Difficulty Level: Intermediate Estimated Build Time: 1-2 hours Monthly Operating Cost: ~$30 (API usage) Watch the Complete Build Process Want to see exactly how this system was built from scratch? Nick Saraev walks through the entire development process in this comprehensive tutorial, including all the debugging, dead ends, and problem-solving that goes into building real automation systems. š„ Watch: "The N8N Instagram Parasite System (10K Followers In 15 Days)" This 1.5-hour deep-dive shows the actual build process - not a polished demo, but real system development with all the thinking and iteration included. Set Up Steps: Configure Apify Integration: Sign up for Apify account and obtain API key Replace the bearer token in the "Run Actor Synchronously" node Customize the username array with your target Instagram accounts Set Up AI Services: Add OpenAI API credentials for transcription and content generation Configure Perplexity API for enhanced research capabilities Set up appropriate rate limiting for cost control Database Configuration: Create Google Sheets database with provided column structure Connect Google Sheets OAuth credentials Configure the merge logic for duplicate detection Content Filtering Setup: Customize the AI prompts for your specific niche and requirements Adjust the filtering criteria for tool/technology detection Set up the script generation template to match your brand voice Automation Schedule: Configure the schedule trigger for daily content monitoring Set optimal timing based on your content creation workflow Test the complete flow with a small number of accounts first Advanced Customization: Add additional content sources beyond Instagram Integrate with your existing content management systems Scale up monitoring to dozens of competitor accounts More AI Automation Systems: For more advanced automation tutorials and business systems, check out My YouTube Channel where I share proven automation strategies that generate real revenue.
By Nick SaraevSmart invoice collection system with GPT-4.1, Gmail & Google Sheets
Smart Invoice Collection System with OpenAI, Gmail & Google Sheets Categories: Financial Automation, AI Business Tools, Cash Flow Management This workflow creates an intelligent invoice collection system that automatically follows up on overdue invoices using AI-powered personalization. The system monitors your invoice database, analyzes email history to prevent inappropriate follow-ups, and sends increasingly urgent but professional reminders at precise intervals. Built to solve one of the biggest cash flow killers for small businesses, this automation can easily generate an additional $10-15K per year in recovered payments. Benefits Automated Cash Flow Recovery - Generate $10-15K annually in previously forgotten invoice payments Intelligent Timing - AI analyzes email history to prevent sending follow-ups at inappropriate times Escalating Urgency - Four template levels from gentle reminders to firm collection notices Professional Communication - Maintains business relationships while ensuring payment Zero Manual Work - Complete automation from overdue detection to email delivery High-Value Service - Easily sold to clients for $1,500-3,000 per implementation How It Works Invoice Monitoring System: Connects to Google Sheets containing your invoice database with sent dates and client information Automatically calculates days overdue using date difference calculations Filters invoices to process only those at specific intervals (7, 14, 21, 28 days overdue) Runs on schedule (daily recommended) to catch invoices as they become overdue Email History Intelligence: Retrieves recent email conversations with each client using Gmail integration Analyzes communication patterns to identify recent discussions about invoices Prevents sending follow-ups within 72 hours of relevant email conversations Aggregates email threads with timestamps for comprehensive context analysis AI-Powered Follow-up Generation: Uses OpenAI to analyze conversation history and determine follow-up appropriateness Selects appropriate template based on days overdue and escalation schedule Generates personalized emails that reference specific client names and invoice details Adapts tone from friendly reminders to more urgent payment requests over time Professional Email Delivery: Creates properly formatted emails with personalized subject lines and content Maintains professional tone while applying appropriate urgency levels Includes clear next steps and payment instructions for clients Optionally creates drafts for review or sends automatically based on your preference Smart Template Escalation: 7 Days: Gentle reminder with helpful tone ("Hope you're well, just checking on that invoice") 14 Days: Professional follow-up with assistance offer ("Here to help if anything's unclear") 21 Days: More direct approach with specific timeline expectations 28 Days: Firm but professional final notice before escalation Required Google Sheets Setup Create a Google Sheet with these exact column headers: Invoice Tracking Sheet: Client Name - Full name of client/company for personalization Email - Client's email address for follow-up communications Date Sent - Date invoice was originally sent (format: YYYY-MM-DD) Invoice ID - Unique identifier for tracking and reference Amount - Invoice amount (optional, for internal tracking) Status - Payment status (Pending, Paid, Overdue - optional) Setup Instructions: Create Google Sheet with exact column headers listed above Populate with your outstanding invoice data Connect Google Sheets OAuth credentials in n8n Update the Google Sheets document ID in the "Google Sheets" node Configure Gmail OAuth for email access and sending Set schedule trigger for daily execution (recommended 9 AM business hours) Template Customization: The system includes 4 pre-written templates that you can customize: Modify sender name and signature in the AI prompt Adjust urgency levels and escalation timing Customize company-specific language and policies Add payment links or specific instructions Business Use Cases Service-Based Businesses - Agencies, consultants, and freelancers with NET30/60 payment terms B2B Companies - Businesses with recurring invoice cycles and multiple clients Accounting Firms - Offer automated collections as a premium service to clients Small Business Owners - Eliminate manual follow-up work while improving cash flow Automation Agencies - High-value service offering with clear ROI demonstration Professional Services - Lawyers, architects, and consultants with project-based billing Revenue Potential This system transforms invoice collection economics: $10-15K annual recovery for average small business with forgotten invoices $1,500-3,000 implementation fee when sold as a service to clients 40-60% reduction in accounts receivable aging Zero ongoing labor costs - replaces hours of manual follow-up work Improved client relationships - consistent, professional communication Scalable business offering - one-time setup serves clients indefinitely Difficulty Level: Intermediate Estimated Build Time: 1-2 hours Monthly Operating Cost: ~$15 (OpenAI + Google Workspace APIs) Watch My Complete Build Process Want to see exactly how I built this invoice collection system from scratch? I walk through the entire development process live, including the AI prompting strategies, email history analysis, and the exact business logic that generates thousands in recovered payments. š„ Watch My Live Build: "THIS Smart Invoice System Will Make You an Additional $750/Month" This comprehensive tutorial shows the real development process - including advanced filtering logic, AI prompt engineering, and the proven templates that maintain professional relationships while ensuring payment. Set Up Steps Google Sheets Integration: Create invoice tracking spreadsheet with required column structure Set up Google Sheets OAuth credentials and permissions Configure document ID and sheet name in the workflow Test data retrieval with sample invoice entries Gmail Configuration: Set up Gmail OAuth for both reading and sending emails Configure email search parameters for conversation history Test email retrieval and draft creation functionality Set appropriate sender name and signature AI Follow-up Engine: Configure OpenAI API credentials with appropriate rate limits Customize the 4 escalation templates for your business tone Test AI decision-making with sample conversation histories Optimize prompts for your specific industry and client types Schedule and Automation: Set up daily schedule trigger (recommended 9 AM business hours) Configure error handling for API failures and network issues Test complete workflow with small batch of overdue invoices Monitor initial runs and optimize timing/templates based on results Quality Control: Start with draft mode to review AI-generated emails before sending Monitor client responses and adjust templates for better results Track payment recovery rates to demonstrate system effectiveness Scale to full automation once confident in output quality Advanced Optimizations Enhance the system with additional capabilities: Multi-Currency Support - Handle international invoices with proper formatting Payment Link Integration - Include Stripe/PayPal links for immediate payment CRM Integration - Sync with Salesforce, HubSpot, or other business systems Escalation Rules - Automatically transfer to collections after final notice Performance Analytics - Track recovery rates and optimize messaging Multi-Language Templates - Support international clients with localized messaging Important Considerations Email Frequency - Built-in 72-hour delays prevent overwhelming clients with follow-ups Professional Tone - Templates maintain business relationships while ensuring payment Legal Compliance - Follow local collection laws and regulations for your jurisdiction Client Communication - System preserves conversation history for context and disputes Privacy Protection - All email analysis happens securely within your n8n instance Why This System Works The key to successful automated invoice collection lies in intelligent timing and personalization: Context awareness prevents follow-ups during ongoing payment discussions Graduated escalation maintains professionalism while applying appropriate pressure Personalized messaging makes automated emails feel human-written Consistent execution ensures no invoices fall through the cracks Relationship preservation maintains client trust while securing payments Check Out My Channel For more revenue-generating automation systems and proven business-building strategies, explore my YouTube channel where I share the exact systems used to scale automation agencies to $72K+ monthly revenue.
By Nick SaraevCold email icebreaker generator with Apify, GPT-4 & website scraping
Deep Multiline Icebreaker System (AI-Powered Cold Email Personalization) Categories: Lead Generation, AI Marketing, Sales Automation This workflow creates an advanced AI-powered cold email personalization system that achieves 5-10% reply rates by generating deeply personalized multi-line icebreakers. The system scrapes comprehensive website data, analyzes multiple pages per prospect, and uses advanced AI prompting to create custom email openers that make recipients believe you've personally researched their entire business. Benefits Superior Response Rates - Achieves 5-10% reply rates vs. 1-2% for standard cold email campaigns Deep Website Intelligence - Scrapes and analyzes multiple pages per prospect, not just homepages Advanced AI Personalization - Uses sophisticated prompting techniques with examples and formatting rules Complete Lead Pipeline - From Apollo search to personalized icebreakers in Google Sheets Scalable Processing - Handle hundreds of prospects with intelligent batching and error handling Revenue-Focused Approach - System designed around proven $72K/month agency methodologies How It Works Apollo Lead Acquisition: Integrates directly with Apollo.io search URLs through Apify scraper Processes 500+ leads per search with comprehensive contact data Filters for prospects with both email addresses and accessible websites Multi-Page Website Scraping: Scrapes homepage to extract all internal website links Processes relative URLs and filters out external/irrelevant links Performs intelligent batching to prevent IP blocking during scraping Comprehensive Content Analysis: Converts HTML to markdown for efficient AI processing Uses GPT-4 to generate detailed abstracts of each webpage Aggregates insights from multiple pages into comprehensive prospect profiles Advanced AI Icebreaker Generation: Employs sophisticated prompting with system messages, examples, and formatting rules Uses proven icebreaker templates that reference non-obvious website details Generates personalized openers that imply deep manual research Smart Data Processing: Removes duplicate URLs and handles scraping errors gracefully Implements token limits to control AI processing costs Organizes final output in structured Google Sheets format Required Google Sheets Setup Create a Google Sheet with these exact tab and column structures: Search URLs Tab: URL - Contains Apollo.io search URLs for your target audiences Leads Tab (Output): first_name - Contact's first name last_name - Contact's last name email - Contact's email address website_url - Company website URL headline - Job title/position location - Geographic location phone_number - Contact phone (if available) multiline_icebreaker - AI-generated personalized opener Setup Instructions: Create Google Sheet with "Search URLs" and "Leads" tabs Add your Apollo search URLs to the first tab (one per row) Connect Google Sheets OAuth credentials in n8n Update the Google Sheets document ID in all sheet nodes The workflow reads from Search URLs and outputs to Leads automatically Apollo Search URL Format: Your search URLs should look like: https://app.apollo.io//people?personLocations[]=United%20States&personTitles[]=ceo&qKeywords=marketing%20agency&page=1 Business Use Cases AI Automation Agencies - Generate high-converting prospect outreach for service-based businesses B2B Sales Teams - Create personalized cold email campaigns that actually get responses Marketing Agencies - Offer premium personalization services to clients Consultants - Build authority through deeply researched prospect outreach SaaS Companies - Improve demo booking rates through personalized messaging Professional Services - Stand out from generic sales emails with custom insights Revenue Potential This system transforms cold email economics: 5-10x Higher Response Rates than standard cold email approaches $72K/month proven methodology - exact system used to scale successful AI agency Premium Positioning - prospects assume you've done extensive manual research Scalable Personalization - process hundreds of prospects daily vs. manual research Difficulty Level: Advanced Estimated Build Time: 3-4 hours Monthly Operating Cost: ~$150 (Apollo + Apify + OpenAI + Email platform APIs) Watch My Complete Live Build Want to see me build this entire deep personalization system from scratch? I walk through every component live - including the AI prompting strategies, website scraping logic, error handling, and the exact techniques that generate 5-10% reply rates. š„ See My Live Build Process: "I Deep-Personalized 1000+ Cold Emails Using THIS AI System (FREE TEMPLATE)" This comprehensive tutorial shows the real development process - including advanced AI prompting, multi-page scraping architecture, and the proven icebreaker templates that have generated over $72K/month in agency revenue. Set Up Steps Apollo & Apify Integration: Configure Apify account with Apollo scraper access Set up API credentials and test lead extraction Define target audience parameters and lead qualification criteria Google Sheets Database Setup: Create multi-sheet structure (Search URLs, Leads) Configure proper column mappings for lead data Set up Google Sheets API credentials and permissions Website Scraping Infrastructure: Configure HTTP request nodes with proper redirect handling Set up error handling for websites that can't be scraped Implement intelligent batching with split-in-batches nodes AI Content Processing: Set up OpenAI API credentials with appropriate rate limits Configure dual-AI approach (page summarization + icebreaker generation) Implement token limiting to control processing costs Advanced Icebreaker Generation: Configure sophisticated AI prompting with system messages Set up example-based learning with input/output pairs Implement formatting rules for natural-sounding personalization Quality Control & Testing: Test complete workflow with small prospect batches Validate AI output quality and personalization accuracy Monitor response rates and optimize messaging templates Advanced Optimizations Scale the system with: Industry-Specific Templates: Customize icebreaker formats for different verticals A/B Testing Framework: Test different AI prompt variations and templates CRM Integration: Automatically add qualified responders to sales pipelines Response Tracking: Monitor which personalization elements drive highest engagement Multi-Touch Sequences: Create follow-up campaigns based on initial response data Important Considerations AI Token Management: System includes intelligent token limiting to control OpenAI costs Scraping Ethics: Built-in delays and error handling prevent website overload Data Quality: Filtering logic ensures only high-quality prospects with accessible websites Scalability: Batch processing prevents IP blocking during high-volume scraping Why This System Works The key to 5-10% reply rates lies in making prospects believe you've done extensive manual research: Non-obvious details from deep website analysis Natural language patterns that avoid template detection Company name abbreviation (e.g., "Love AMS" vs "Love AMS Professional Services") Multiple page insights aggregated into compelling narratives Check Out My Channel For more advanced automation systems and proven business-building strategies that generate real revenue, explore my YouTube channel where I share the exact methodologies used to build successful automation agencies.
By Nick SaraevPersonalized LinkedIn connection requests with Apollo, GPT-4, Apify & PhantomBuster
AI LinkedIn Outreach Automation with Apollo, OpenAI & PhantomBuster Categories: Sales Automation Lead Generation AI Personalization This workflow creates a complete LinkedIn outreach automation system that generates targeted lead lists from Apollo using natural language, enriches profiles with AI-personalized icebreakers, and automatically sends connection requests through PhantomBuster. Built by someone who's made over $1 million with AI automation, this system demonstrates the real-world approach to building profitable automation workflows. Benefits Natural Language Lead Targeting - Describe your ideal prospects in plain English and automatically generate Apollo search URLs AI-Powered Personalization - Creates custom icebreakers based on LinkedIn profile data, employment history, and professional background Complete Outreach Pipeline - From lead discovery to personalized connection requests, fully automated end-to-end Smart Data Management - Automatically tracks all prospects in Google Sheets with deduplication and status tracking Cost-Effective Scraping - Uses Apify to extract Apollo data without expensive subscription costs Scalable Architecture - Processes hundreds of leads while respecting LinkedIn's connection limits How It Works Natural Language Lead Generation: Form input accepts audience descriptions in plain English AI converts descriptions into properly formatted Apollo search URLs Automatically includes location, company size, job titles, and keyword filters Apollo Data Extraction: Uses Apify actor to scrape targeted lead lists from Apollo Extracts LinkedIn URLs, email addresses, employment history, and profile data Processes 500+ leads per run with detailed professional information AI Personalization Engine: Analyzes LinkedIn profile data including job history and company information Generates personalized icebreakers using proven connection request templates Creates human-like messages that reference specific career details and achievements Google Sheets Integration: Automatically stores all lead data in organized spreadsheet format Tracks prospect information, contact details, and generated icebreakers Provides easy data management and campaign tracking PhantomBuster Automation: Connects to PhantomBuster API to trigger LinkedIn connection campaigns Sends personalized connection requests with custom icebreakers Respects LinkedIn's daily limits and mimics human behavior patterns Business Use Cases Sales Teams - Automate prospecting for B2B outreach campaigns Agencies - Scale client acquisition through targeted LinkedIn outreach Recruiters - Find and connect with qualified candidates efficiently Entrepreneurs - Build professional networks in specific industries Business Development - Generate qualified leads for partnership opportunities Revenue Potential This system can replace expensive LinkedIn outreach tools that cost $200-500/month. Users typically see: 400% improvement in response rates through personalization 10x faster lead generation compared to manual prospecting Ability to process 500+ leads per hour vs. 10-20 manually Difficulty Level: Intermediate Estimated Build Time: 1-2 hours Monthly Operating Cost: ~$50 (Apollo + PhantomBuster + AI APIs) Watch My Complete 1-Hour Build Want to see exactly how I built this system from scratch? I walk through the entire development process live, including all the debugging, API integrations, and real-world testing that goes into building profitable automation systems. š„ See My Live Build Process: "Build This Automated AI LinkedIn DM System in 1 Hour (N8N)" This comprehensive tutorial shows my actual development approach - including the detours, problem-solving, and iterative testing that real automation building involves. Required Google Sheets Setup Create a Google Sheet with these exact column headers: Essential Lead Columns: id - Unique prospect identifier first_name - Contact's first name last_name - Contact's last name name - Full name linkedin_url - LinkedIn profile URL title - Current job title email_status - Email verification status photo_url - Profile photo URL icebreaker - AI-generated personalized message Setup Instructions: Create Google Sheet with these headers in row 1 Connect Google Sheets OAuth in n8n Update the document ID in the "Add to Google Sheet" node PhantomBuster will read from this sheet for automated outreach Set Up Steps Apollo & Apify Configuration: Set up Apify account and obtain API credentials Configure Apollo scraper actor with proper parameters Test lead extraction with sample audience descriptions AI Personalization Setup: Configure OpenAI API for natural language processing and personalization Set up prompt templates for audience targeting and icebreaker generation Test personalization quality with sample LinkedIn profiles Google Sheets Integration: Create lead tracking spreadsheet with proper column structure Configure Google Sheets API credentials and permissions Set up data mapping for automatic lead storage PhantomBuster Connection: Set up PhantomBuster account and LinkedIn connection Configure LinkedIn auto-connect agent with custom message templates Connect API for automated campaign triggering Form and Workflow Setup: Configure form trigger for audience input collection Set up data flow between all components Add proper error handling and rate limiting Testing and Optimization: Start with small batches (5-10 connections daily) Monitor LinkedIn account health and response rates Optimize icebreaker templates based on performance data Important Compliance Notes LinkedIn Limits: Respect 100 connection requests per week limit Account Safety: Use PhantomBuster's human-like behavior patterns Message Quality: Regularly update templates to avoid automation detection Response Management: Monitor and respond to replies within 24 hours Advanced Extensions This system can be enhanced with: Multi-channel Outreach: Add email sequences for comprehensive campaigns A/B Testing: Test different icebreaker templates automatically CRM Integration: Connect to Salesforce, HubSpot, or other sales systems Response Tracking: Monitor reply rates and optimize messaging Explore My Channel For more advanced automation systems that generate real business results, check out my YouTube channel where I share the exact strategies I've used to make over $1 million with AI automation.
By Nick SaraevAutomate customer support & calendar bookings with OpenAI GPT and Google Calendar
Website AI Agent with Calendar Integration Categories: AI Agents, Website Integration, Calendar Automation This workflow creates a complete website AI agent that can be embedded on any website with just a few lines of code. The agent handles customer inquiries, provides business information, and automatically books meetings by checking calendar availability in real-time. Built for simplicity and business practicality, this system proves that effective AI agents don't need to be overcomplicated. Benefits Universal Website Integration - Works with WordPress, Webflow, Squarespace, custom sites, or any platform that accepts HTML Intelligent Calendar Management - Checks availability and books meetings automatically without double-booking Business-Ready Conversations - Trained with specific business context and maintains professional, helpful interactions Real-Time Functionality - All changes to the N8N workflow are immediately reflected on your live website No Technical Complexity - Simple architecture that prioritizes reliability and consistent outputs over flashy features Customizable Branding - Easy to modify appearance, messages, and behavior to match your brand How It Works Embedded Chat Interface: Generates embeddable HTML code that creates a chat widget on any website Provides both hosted and embedded modes for different use cases Handles all communication between website visitors and the AI system Intelligent Conversation Management: Uses sophisticated system prompts to maintain context about your business Handles common inquiries about services, pricing, and company information Gracefully redirects off-topic conversations back to business matters Smart Calendar Integration: Connects to Google Calendar to check real-time availability Automatically suggests meeting times based on your schedule Collects all necessary information (name, email, preferred time) before booking Meeting Booking Process: Validates meeting requests against existing calendar entries Confirms all details with users before creating calendar events Sends automatic invitations with proper timezone handling Required Setup Configuration System Message Requirements: Your AI agent needs a comprehensive system message that includes: Business Identity: Company name, services, location, timezone Business Context: What you offer, pricing information, key differentiators Conversation Rules: How to handle inquiries, booking procedures, moderation guidelines Personality Instructions: Tone of voice, response style, conversation length preferences Example System Message Structure: You are a helpful, intelligent website chatbot for [Company Name], a [business type]. The current date is [dynamic date]. You are in the [timezone] timezone. Business Context: We offer [services] with [key benefits] Our pricing is [pricing structure] We work with [target customers] Your task is answering questions about the business & booking meetings. For meetings: use calendar function to check availability, collect name/email/preferred time, confirm details. Rules: Keep responses short and conversational Stay focused on business topics Always confirm timezone when discussing meeting times Google Calendar Setup: Enable Google Calendar API in Google Cloud Console Create OAuth2 credentials for N8N Connect your business calendar in the Google Calendar nodes Set correct timezone in both nodes to match your business location Website Integration: Switch chat trigger to "embedded" mode Copy the provided CDN embed code Paste code into your website's HTML (before closing body tag) Replace webhook URL with your production URL Business Use Cases Service Businesses - Automate initial consultations and lead qualification Agencies - Handle project inquiries and schedule discovery calls Consultants - Streamline the booking process for potential clients E-commerce - Provide product support and schedule demos Any Business - Replace contact forms with intelligent conversation Revenue Potential This system can replace expensive chatbot services that cost $100-500/month. The automated booking feature alone typically increases meeting conversion rates by 40-60% compared to traditional contact forms. Difficulty Level: Beginner Estimated Build Time: 15-20 minutes Monthly Operating Cost: ~$10 (OpenAI API usage) Watch My 13-Minute Build Want to see exactly how I built this from scratch? I walk through the complete setup process in real-time, including all the configuration, testing, and website integration. š„ See My Complete Build Process: "How to Build a Website AI Agent in 13 Min (Free N8N Template)" This step-by-step tutorial shows you my exact process for creating business-ready AI agents that actually make money, not just impressive demos. Set Up Steps Basic Agent Configuration: Create new N8N workflow with AI Agent node Connect OpenAI Chat Model with your API credentials Add Window Buffer Memory for conversation context System Message Setup: Configure detailed business context and operating instructions Set timezone and personality parameters for consistent responses Define conversation rules and moderation guidelines Google Calendar Integration: Set up Google Calendar credentials through Google Cloud Console Configure "Get All Events" tool for availability checking Set up "Create Event" tool for automated booking Website Embedding: Switch chat trigger to "embedded" mode for website integration Copy the provided CDN embed code Paste code into your website's HTML with your webhook URL Customization Options: Modify initial messages and branding in the embed code Adjust colors and styling using CSS variables Configure timezone settings to match your business location Testing & Optimization: Test complete conversation flows from inquiry to booking Verify calendar integration works correctly with your timezone Optimize system prompts based on actual user interactions Advanced Features Extend this system with additional capabilities: CRM Integration - Automatically add leads to your sales pipeline Multi-language Support - Handle conversations in different languages Custom Business Logic - Add specific qualification questions or routing Analytics Tracking - Monitor conversation patterns and conversion rates Check Out My Channel For more practical automation systems that generate real business value, check out my YouTube channel where I share the exact strategies I used to scale my automation agency to $72K/month.
By Nick Saraev