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. 🎥 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 SaraevScan single URLs for security vulnerabilities with GPT-4 (JS, PHP, Python)
Overview This workflow automates static security analysis for JavaScript, PHP, and Python codebases. It’s designed for bug bounty hunters and security researchers who need fast, structured, and AI-assisted vulnerability detection across multiple sources. --- Features 🤖 AI-Powered Analysis: Specialized agents for each language: AI JavaScript Expert AI PHP Expert AI Python Expert Each agent detects only exploitable vulnerabilities (AST + regex heuristics). Returns strict JSON with: json { "results": [ { "url": "file or URL", "code": "lines + snippet", "severity": "medium|high|critical", "vuln": "vulnerability type" } ] } 🧩 Post-Processing: Cleans, formats, and validates JSON results. Generates HTML tables with clear styling for quick visualization. --- Output ✅ JSON vulnerability reports per file. 📊 HTML table summaries grouped by language and severity. --- Usage Import the workflow into n8n. Configure credentials: OpenAI API key GitHub API Key Google Drive API Key Run via the provided webhook form. Select analysis mode and input target. View structured vulnerability reports directly in n8n or Google Drive. --- Notes Performs static analysis only (no code execution). Detects exploitable findings only; ignores low-impact issues. ---
By Javier RieiroGenerate custom cake images with OpenAI GPT & Replicate Flux Schnell
Who’s it for This template is designed for bakeries, event planners, and e-commerce platforms that want to automatically generate custom cake designs. It’s also ideal for marketers or digital creators who need personalized celebratory visuals for social media or email campaigns. How it works This workflow converts simple user input (e.g., “Sarah’s Birthday”) into a creative cake design: Webhook: Captures user input from the Bolt frontend form. OpenAI GPT: Generates a detailed and creative cake design prompt. Replicate Flux Schnell: Produces a unique cake image using the AI-generated prompt. HTTP Response: Sends the final cake image back to the frontend. How to set up Import this template into n8n. Add your OpenAI API Key under n8n Credentials for the OpenAI Chat Model node. Add your Replicate API Token as an HTTP Header Auth credential (do not hardcode it). Update the Webhook node URL in the Bolt frontend form to send a POST request to n8n. (Optional) Customize the OpenAI prompt in the Prompt Generator node to adjust cake style, colors, or decorations. Requirements n8n account (cloud or self-hosted). OpenAI API Key for prompt generation. Replicate API Token for AI image generation. A Bolt frontend or any form that can call the webhook endpoint. How to customize the workflow Replace "cake" with any product type (e.g., mugs, greeting cards, or T-shirts). Add a database node (Google Sheets or Supabase) to log user requests and images. Implement input moderation by adding an OpenAI moderation node before the prompt generation. Frontend
By Nabin BhandariExtract & validate legal citations from documents with PDF Vector AI
Legal professionals spend countless hours manually checking citations and building citation indexes for briefs, memoranda, and legal opinions. This workflow automates the extraction, validation, and analysis of legal citations from any legal document, including scanned court documents, photographed case files, and image-based legal materials (PDFs, JPGs, PNGs). Target Audience: Attorneys, paralegals, legal researchers, judicial clerks, law students, and legal writing professionals who need to extract, validate, and manage legal citations efficiently across multiple jurisdictions. Problem Solved: Manual citation checking is extremely time-consuming and error-prone. Legal professionals struggle to ensure citation accuracy, verify case law is still good law, and build comprehensive citation indexes. This template automates the entire citation management process while ensuring compliance with citation standards like Bluebook format. Setup Instructions: Configure Google Drive credentials for secure legal document access Install the PDF Vector community node from the n8n marketplace Configure PDF Vector API credentials Set up connections to legal databases (Westlaw, LexisNexis if available) Configure jurisdiction-specific citation rules Set up validation preferences and citation format standards Configure citation reporting and export formats Key Features: Automatic retrieval of legal documents from Google Drive OCR support for handwritten annotations and scanned legal documents Comprehensive extraction of case law, statutes, regulations, and academic citations Bluebook citation format validation and standardization Automated Shepardizing to verify cases are still good law Pinpoint citation detection and parenthetical extraction Citation network analysis showing case relationships Support for federal, state, and international law references Customization Options: Set jurisdiction-specific citation rules and formats Configure automated alerts for superseded statutes or overruled cases Customize citation validation criteria and standards Set up integration with legal research platforms (Westlaw, LexisNexis) Configure export formats for different legal document types Add support for specialty legal domains (tax law, patent law, etc.) Set up collaborative citation checking for legal teams Implementation Details: The workflow uses advanced legal domain knowledge to identify and extract citations in various formats across multiple jurisdictions. It processes both digital and scanned documents, validates citations against legal standards, and builds comprehensive citation networks. The system automatically checks citation accuracy and provides detailed reports for legal document preparation. Note: This workflow uses the PDF Vector community node. Make sure to install it from the n8n community nodes collection before using this template.
By PDF VectorPost-surgery patient triage & follow-up system with Gemini AI, Telegram & Google Suite
Who’s it for This template is for clinics, hospitals, care teams, and telemedicine providers who need a structured, automated system for post-surgery follow-up. It helps reduce manual workload while ensuring every patient gets timely check-ins and appropriate triage. What it does / How it works This workflow automates daily recovery monitoring using Google Sheets and Telegram. It sends scheduled check-in messages to all patients within their follow-up window. When a patient replies, the message is: Captured by Telegram Trigger Cleaned and structured Summarized by an AI agent Classified into low, moderate, or high intensity Based on the intensity level: Low: Sends a supportive, non-urgent response Moderate: Sends guidance + schedules a follow-up event in Google Calendar High: Sends an alert email to the doctor via Gmail All logic runs automatically. Requirements Google Sheets OAuth2 credentials Gmail OAuth2 credentials Google Calendar OAuth2 credentials Telegram Bot credentials Gemini API credentials A Google Sheet with patient name, surgery type, follow-up duration, and doctor email How to set up Connect all required credentials inside n8n. Replace the Google Sheet ID with your own patient sheet. Adjust column mappings if your sheet structure differs. Test by sending a Telegram message to your bot. Enable the Schedule Trigger to begin automated daily follow-ups. How to customize the workflow Modify AI prompts inside the AI Agent nodes Adjust triage logic for intensity levels Change follow-up intervals in the Schedule Trigger Add additional notification channels (SMS, Slack, CRM logging)
By Pixcels Themes