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 Saraev🚀 Boost your customer service with this WhatsApp Business bot!
This n8n workflow demonstrates how to automate customer interactions and appointment management via WhatsApp Business bot. After submitting a Google Form, the user receives a notification via WhatsApp. These notifications are sent via a template message. In case user sends a message to the bot, the text and user data is stored in Google Sheets. To reply back to the user, fill in the ReplyText column and change the Status to 'Ready'. In a few seconds n8n will fetch the unsent replies and deliver them one by one via WhatsApp Business node. Customize this workflow to fit your specific needs, connect different online services and enhance your customer communication! 🎉 Setup Instructions To get this workflow up and running, you'll need to: 👇 Create a WhatsApp template message on the Meta Business portal. <details></details> Obtain an Access Token and WhatsApp Business Account ID from the Meta Developers Portal. This is needed for the WhatsApp Business Node to send messages. Set up a WhatsApp Trigger node with App ID and App Secret from the Meta Developers Portal. Right after that copy the WhatsApp Trigger URL and add it as a Callback URL in the Meta Developers Portal. This trigger is needed to receive incoming messages and their status updates. Connect your Google Sheets account for data storage and management. Check out the documentation page. ⚠️ Important Notes WhatsApp allows automatic custom text messages only within 24 hours of the last user message. Outside with time frame only approved template messages can be sent. The workflow uses a Google Sheet to manage form submissions, incoming messages and prepare responses. You can replace these nodes and connect the WhatsApp bot with other systems.
By EduardNotion knowledge base AI assistant
Who is this for This workflow is perfect for teams and individuals who manage extensive data in Notion and need a quick, AI-powered way to interact with their databases. If you're looking to streamline your knowledge management, automate searches, and get faster insights from your Notion databases, this workflow is for you. It’s ideal for support teams, project managers, or anyone who needs to query specific data across multiple records or within individual pages of their Notion setup. Check out the Notion template this Assistant is set up to use: https://www.notion.so/templates/knowledge-base-ai-assistant-with-n8n How it works The Notion Database Assistant uses an AI Agent built with Retrieval-Augmented Generation (RAG) to query this Knowledge Base style Notion database. The assistant can search across multiple properties like tags or question and retrieves content from inside individual Notion pages for additional context. Key features include: Querying the database with flexible filters. Searching within individual Notion pages and extracting relevant blocks. Providing a reference link to the exact Notion pages used to inform its responses, ensuring transparency and easy verification. This assistant uses two HTTP request tools—one for querying the Notion database and another for pulling data from within specific pages. It streamlines knowledge retrieval, offering a conversational, AI-driven way to interact with large datasets. Set up Find basic set up instructions inside the workflow itself or watch a quickstart video 👇 [](https://www.youtube.com/watch?v=ynLZwS2Nhnc)
By Max TkaczAI agent for Instagram DM/inbox. Manychat + Open AI integration
Automate Instagram DMs with OpenAI GPT and ManyChat How It Works: Once connected, GPT will automatically initiate conversations with messages from new recipients in Intagram. Who Is This For? This workflow is ideal for marketers, business owners content creators who want to automatically respond to Instagram direct messages using OpenAI GPT. By integrating ManyChat, you can manage conversations, nurture leads, and provide instant replies at scale. What This Workflow Does Captures incoming Instagram DMs through ManyChat’s integration. Processes messages with GPT to generate a relevant response. Delivers instant replies back to Instagram users, creating efficient, AI-driven communication. Setup Import the Template: Copy the n8n workflow into your workspace. OpenAI Credentials: Add your OpenAI API key in n8n so GPT can generate responses. ManyChat Account: Create (or log in to) your ManyChat account. Connect Instagram: Link your Instagram profile as a channel in ManyChat. ManyChat Custom Field: Create a custom field for storing user input or conversation context. Configure Default Reply: In ManyChat, set up the default Instagram reply flow to point to your n8n webhook. Add External Request: Create an external request step in ManyChat to send messages to n8n. Test the Flow: Send yourself a DM on Instagram to confirm the workflow triggers and GPT responds correctly. Instructions and links: Notion instruction Register in ManyChat
By Alex Hi no codeHR & IT helpdesk chatbot with audio transcription
An intelligent chatbot that assists employees by answering common HR or IT questions, supporting both text and audio messages. This unique feature ensures employees can conveniently ask questions via voice messages, which are transcribed and processed just like text queries. --- How It Works Message Capture: When an employee sends a message to the chatbot in WhatsApp or Telegram (text or audio), the chatbot captures the input. Audio Transcription: For audio messages, the chatbot transcribes the content into text using an AI-powered transcription service (e.g., Whisper, Google Cloud Speech-to-Text). Query Processing: The transcribed text (or directly entered text) is sent to an AI service (e.g., OpenAI) to generate embeddings. These embeddings are used to search a vector database (e.g., Supabase or Qdrant) containing the company’s internal HR and IT documentation. The most relevant data is retrieved and sent back to the AI service to compose a concise and helpful response. Response Delivery: The chatbot sends the final response back to the employee, whether the input was text or audio. --- Set Up Steps Estimated Time: 20–25 minutes Prerequisites: Create an account with an AI provider (e.g., OpenAI). Connect WhatsApp or Telegram credentials in n8n. Set up a transcription service (e.g., Whisper or Google Cloud Speech-to-Text). Configure a vector database (e.g., Supabase or Qdrant) and add your internal HR and IT documentation. Import the workflow template into n8n and update environment variables for your credentials.
By Felipe BragaIT ops AI SlackBot workflow - chat with your knowledge base
Video Demo: Click here to see a video of this workflow in action. Summary Description: The "IT Department Q&A Workflow" is designed to streamline and automate the process of handling IT-related inquiries from employees through Slack. When an employee sends a direct message (DM) to the IT department's Slack channel, the workflow is triggered. The initial step involves the "Receive DMs" node, which listens for new messages. Upon receiving a message, the workflow verifies the webhook by responding to Slack's challenge request, ensuring that the communication channel is active and secure. Once the webhook is verified, the workflow checks if the message sender is a bot using the "Check if Bot" node. If the sender is identified as a bot, the workflow terminates the process to avoid unnecessary actions. If the sender is a human, the workflow sends an acknowledgment message back to the user, confirming that their query is being processed. This is achieved through the "Send Initial Message" node, which posts a simple message like "On it!" to the user's Slack channel. The core functionality of the workflow is powered by the "AI Agent" node, which utilizes the OpenAI GPT-4 model to interpret and respond to the user's query. This AI-driven node processes the text of the received message, generating an appropriate response based on the context and information available. To maintain conversation context, the "Window Buffer Memory" node stores the last five messages from each user, ensuring that the AI agent can provide coherent and contextually relevant answers. Additionally, the workflow includes a custom Knowledge Base (KB) tool (see that tool template here) that integrates with the AI agent, allowing it to search the company's internal KB for relevant information. After generating the response, the workflow cleans up the initial acknowledgment message using the "Delete Initial Message" node to keep the conversation thread clean. Finally, the generated response is sent back to the user via the "Send Message" node, providing them with the information or assistance they requested. This workflow effectively automates the IT support process, reducing response times and improving efficiency. To quickly deploy the Knowledge Ninja app in Slack, use the app manifest below and don't forget to replace the two sample urls: { "display_information": { "name": "Knowledge Ninja", "description": "IT Department Q&A Workflow", "background_color": "005e5e" }, "features": { "bot_user": { "display_name": "IT Ops AI SlackBot Workflow", "always_online": true } }, "oauth_config": { "redirect_urls": [ "Replace everything inside the double quotes with your slack redirect oauth url, for example: https://n8n.domain.com/rest/oauth2-credential/callback" ], "scopes": { "user": [ "search:read" ], "bot": [ "chat:write", "chat:write.customize", "groups:history", "groups:read", "groups:write", "groups:write.invites", "groups:write.topic", "im:history", "im:read", "im:write", "mpim:history", "mpim:read", "mpim:write", "mpim:write.topic", "usergroups:read", "usergroups:write", "users:write", "channels:history" ] } }, "settings": { "event_subscriptions": { "request_url": "Replace everything inside the double quotes with your workflow webhook url, for example: https://n8n.domain.com/webhook/99db3e73-57d8-4107-ab02-5b7e713894ad", "bot_events": [ "message.im" ] }, "orgdeployenabled": false, "socketmodeenabled": false, "tokenrotationenabled": false } }
By Angel Menendez✨ Vision-based AI agent scraper - with Google Sheets, ScrapingBee, and Gemini
Important Notes: Check Legal Regulations: This workflow involves scraping, so ensure you comply with the legal regulations in your country before getting started. Better safe than sorry! Workflow Description: 😮💨 Tired of struggling with XPath, CSS selectors, or DOM specificity when scraping ? This AI-powered solution is here to simplify your workflow! With a vision-based AI Agent, you can extract data effortlessly without worrying about how the DOM is structured. This workflow leverages a vision-based AI Agent, integrated with Google Sheets, ScrapingBee, and the Gemini-1.5-Pro model, to extract structured data from webpages. The AI Agent primarily uses screenshots for data extraction but switches to HTML scraping when necessary, ensuring high accuracy. Key Features: Google Sheets Integration: Manage URLs to scrape and store structured results. ScrapingBee: Capture full-page screenshots and retrieve HTML data for fallback extraction. AI-Powered Data Parsing: Use Gemini-1.5-Pro for vision-based scraping and a Structured Output Parser to format extracted data into JSON. Token Efficiency: HTML is converted to Markdown to optimize processing costs. This template is designed for e-commerce scraping but can be customized for various use cases.
By DatakiWebSecScan: AI-powered website security auditor
WebSecScan: AI-Powered Website Security Auditor This n8n workflow provides comprehensive website security analysis by leveraging OpenAI's models to detect vulnerabilities, configuration issues, and security misconfigurations. The workflow generates a professional HTML security report delivered directly via Gmail. Key Features Dual-Layer Security Analysis: Performs parallel security audits using specialized OpenAI agents: Header Configuration Audit: Analyzes HTTP headers, CORS policies, CSP implementation, and cookie security Vulnerability Assessment: Identifies XSS vectors, information disclosure, and client-side weaknesses Detailed Security Grading: Automatically calculates a security grade (A+ to F) based on findings severity and quantity Professional Report Generation: Creates a comprehensive HTML report with: Security grade visualization Color-coded vulnerability categories Detailed recommendations with example configuration fixes Header presence/absence indicators Implementation guidance for remediation Non-Invasive Testing: Performs analysis without active scanning or exploitation attempts Technical Implementation Multi-Agent Architecture: Utilizes two specialized OpenAI agents with custom prompts tailored for security analysis Advanced Header Analysis: Detects presence and proper implementation of critical security headers: Content-Security-Policy Strict-Transport-Security X-Content-Type-Options X-Frame-Options Referrer-Policy Permissions-Policy Intelligent Issue Detection: Uses JavaScript processing to analyze OpenAI outputs and count critical/warning issues Responsive HTML Report: Dynamically generates a mobile-friendly report with detailed findings and recommendations Setup Requirements OpenAI API Configuration Create an OpenAI API key at platform.openai.com In n8n, go to Settings → Credentials → New → OpenAI API Enter your API key and save Gmail Integration Navigate to Settings → Credentials → New → Gmail OAuth2 API Complete the OAuth authentication flow Configure recipient email in the "Send Security Report" node Workflow Customization (Optional) Modify the form title/description in the Landing Page node Upgrade from gpt-4o-mini to gpt-4o for more comprehensive analysis Add additional recipients to the email report Usage Instructions Activate the workflow and access the form via the generated URL Enter any website URL to analyze (including the http:// or https:// prefix) Receive a detailed security report via email within minutes Share findings with your development team to implement fixes --- This workflow represents a non-invasive security assessment tool. For production environments, complement with professional penetration testing services.
By Dale DunlopAuto-create and publish AI social videos with Telegram, GPT-4 and Blotato
Auto-create and publish AI social videos with Telegram, GPT-4 and Blotato > ⚠️ Disclaimer: This workflow uses Community Nodes and must be run on a self-hosted instance of n8n. Who is this for? This template is perfect for social media managers, content creators, AI enthusiasts, and automation pros who want to generate short-form videos (Reels) from a simple Telegram message, then publish them across multiple platforms—all without video editing or manual uploads. What problem is this workflow solving? Creating content is only half the job. The real bottleneck comes in: Rendering the video, Adding voice or music, Writing captions and titles, Publishing to multiple platforms. This workflow automates all of that using AI. It saves hours every week and guarantees consistent output. What this workflow does This end-to-end automation handles everything from AI video generation to social publishing: Starts with a Telegram message (text or image prompt) Generates video using Kling or Blotato, based on the input Creates music with Piapi and merges it with the video Generates text overlays and captions with GPT-4 Builds a stylized video using JSON2Video Logs results to Google Sheets Sends final output back to Telegram Auto-posts the video to 9 platforms via Blotato (Instagram, TikTok, YouTube, Facebook, LinkedIn, Threads, Twitter/X, Pinterest, Bluesky) Setup Connect your Telegram bot to the trigger node. Add your OpenAI API key for all GPT nodes. Set up Kling and Piapi API access (for video and music generation). Connect your Cloudinary account to upload images. Link a Google Sheet with columns: Title, Caption, URL. Set your Blotato API key and fill in the platform-specific account IDs. How to customize this workflow to your needs Change prompt formatting to control GPT responses and video tone. Edit text styling in JSON2Video to match your brand. Add a Telegram approval step before publishing, if needed. Disable platforms you don’t use by deleting their HTTP Request nodes. Use a Google Sheet filter to only process new rows or drafts. 📄 Documentation: Notion Guide
By Dr. FirasBreakdown documents into study notes using templating MistralAI and Qdrant
This n8n workflow takes in a document such as a research paper, marketing or sales deck or company filings, and breaks them down into 3 templates: study guide, briefing doc and timeline. These templates are designed to help a student, associate or clerk quickly summarise, learn and understand the contents to be more productive. Study guide - a short quiz of questions and answered generated by the AI Agent using the contents of the document. Briefing Doc - key information and insights are extracted by the AI into a digestable form. Timeline - key events, durations and people are identified and listed into a simple to understand timeline by the AI How it works A local file trigger watches a local network directory for new documents. New documents are imported into the workflow, its contents extracted and vectorised into a Qdrant vector store to build a mini-knowledgebase. The document then passes through a series of template generating prompts where the AI will perform "research" on the knowledgebase to generate the template contents. Generated study guide, briefing and timeline documents are exported to a designated folder for the user. Requirements Self-hosted version of n8n. Qdrant instance for knowledgebase. Mistral.ai account for embeddings and AI model. Customising your workflow Try adding your own templates or adjusting the existing templates to suit your unique use-case. Anything is quite possible and limited only by your imagination! Want to go fully local? A version of this workflow is available which uses Ollama instead. You can download this template here: https://drive.google.com/file/d/1VV5R2nW-IhVcFP_k8uEks4LsLRZrHSNG/view?usp=sharing
By JimleukERP AI chatbot for Odoo sales module with OpenAI
Who is this for? This workflow is for everyone who wants to have easier access to their Odoo sales data without complex queries. Use Case To have a clear overview of your sales data in Odoo you typically needs to extract data from it manually to analyse it. This workflow uses OpenAI's language models to create an intelligent chatbot that provides conversational access to your Odoo sales opportunity data. How it works Creates a summary of all Odoo sales opportunities using OpenAI Uses that summary as context for the OpenAI chat model Keeps the summary up to date using a schedule trigger Set up steps: Configure the Odoo credentials Configure OpenAI credentials Toggle "Make Chat Publicly Available" from the Chat Trigger node.
By Mihai FarcasGenerate SEO seed keywords using AI
What this workflow does: This flow uses an AI node to generate Seed Keywords to focus SEO efforts on based on your ideal customer profile. You can use these keywords to form part of your SEO strategy. Outputs: List of 20 Seed Keywords Setup Fill the Set Ideal Customer Profile (ICP) Connect with your credentials Replace the Connect to your own database with your own database Pre-requisites / Dependencies You know your ideal customer profile (ICP) An AI API account (either OpenAI or Anthropic recommended) More templates and n8n workflows >>> @simonscrapes
By simonscrapes