Extract customer pain points from support forums with Bright Data & GPT-4
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automatically monitors customer support forums and Q&A platforms to extract valuable customer insights and pain points. It saves you time by eliminating the need to manually browse through forum discussions and provides structured analysis of customer questions, answers, and recurring issues. Overview This workflow automatically scrapes customer support forums like Stack Exchange and SuperUser to find questions and discussions related to specific topics or brands. It uses AI to analyze forum content, extract customer pain points, and identify recurring issues, then sends structured insights directly to your product team via email. Tools Used n8n: The automation platform that orchestrates the workflow Bright Data: For scraping forum pages and Q&A platforms without being blocked OpenAI: AI agent for intelligent forum content analysis and insight extraction Gmail: For sending automated insight reports to your team How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Bright Data: Add your Bright Data credentials to the MCP Client node Set Up OpenAI: Configure your OpenAI API credentials Configure Gmail: Connect your Gmail account for sending team notifications Customize: Set target forum URLs and define the topics or brands to monitor Use Cases Product Teams: Identify customer pain points and feature requests from forum discussions Customer Support: Monitor common issues and questions customers are asking Market Research: Understand customer needs and challenges in your industry Competitive Analysis: Track how customers discuss competitor products and services Connect with Me Website: https://www.nofluff.online YouTube: https://www.youtube.com/@YaronBeen/videos LinkedIn: https://www.linkedin.com/in/yaronbeen/ Get Bright Data: https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission) n8n automation forummonitoring customersupport brightdata webscraping customerinsights n8nworkflow workflow nocode forumautomation customerresearch supportmonitoring painpointanalysis communitymonitoring forumanalysis customerfeedback productinsights supportforums stackexchange customervoice userresearch productfeedback techsupport communitylistening customerexperience supportanalysis forumdata qandamonitoring customerpainpoints
By Yaron BeenWhatsApp appointment scheduling with Google Calendar
Who is this for? This workflow is for service-based businesses and freelancers who want to automate booking appointments via WhatsApp without relying on third-party scheduling tools. It's perfect for small teams who want full control over the reservation system and calendar integration. What problem is this workflow solving? Manually coordinating bookings through messages can be inefficient and error-prone. This workflow streamlines the entire scheduling process-from user input to calendar event creation-saving time and avoiding double-bookings. It ensures users only choose from available time slots and automatically records the meeting in your Google Calendar. What this workflow does Sends a WhatsApp message with a reservation link. Collects the user's name and preferred date. Checks availability and shows only free time slots. Allows the user to choose a time slot. Automatically creates a Google Calendar event with the selected details. Saves all data to a Postgres database for future reference. Setup Create Tables in Postgres DB Open the provided SQL script and replace "n8n" with your Postgres schema name. Execute the script to create the required tables. Add Credentials WhatsApp: Set up your WhatsApp Business API credentials using OAuth and API keys. Postgres: Connect your database where the booking data will be stored. Google Calendar: Authorize access to your calendar for event creation.
By AndrewMulti-platform UAE real estate lead generation with GPT-4 analysis
Who's it for Real estate agents, property investment companies, and relocation services operating in the UAE market who want to automate their lead generation and find qualified prospects 24/7. How it works This workflow automatically searches 6 major platforms (Reddit, Facebook, LinkedIn, Twitter, Bayut, PropertyFinder, and news sites) every 6 hours for people looking to buy, sell, or invest in UAE properties. An AI agent then analyzes all results to extract qualified leads with contact information, scores them based on intent and availability, and saves everything to Google Sheets for follow-up. What it does Multi-platform search: Finds prospects across social media, property portals, and news sites AI-powered qualification: Distinguishes real customers from competitors and low-quality leads Contact extraction: Automatically pulls emails, phone numbers, and WhatsApp contacts Lead scoring: Rates prospects 1-100 based on buying intent and contact quality Automated organization: Saves all data to Google Sheets with follow-up priorities Setup requirements Serper.dev API key (2,500 free searches/month) OpenAI API key for AI analysis Google Sheets account for lead storage 10 minutes initial configuration How to customize Target markets: Adjust search terms for luxury, commercial, or specific emirates Search frequency: Change from 6 hours to your preferred schedule Additional platforms: Add more sources by duplicating HTTP request nodes Lead criteria: Modify AI scoring based on your qualification requirements CRM integration: Connect output to Salesforce, HubSpot, or other systems Expected results Generate 10-50 qualified leads daily with contact information, saving 5+ hours of manual research while improving lead quality through AI-powered analysis and scoring.
By papcyBuild Gmail contact database with GPT-5 Nano, Brave Search & Google Sheets
Overview Transform your Gmail sent folder into a comprehensive, enriched contact database automatically. This workflow processes hundreds or thousands of sent emails, extracting and enriching contact information using AI and web search – saving days of manual work. What This Workflow Does Loads sent Gmail messages and extracts basic contact information Deduplicates contacts against your existing Google Sheets database Searches for email conversation history with each contact AI-powered extraction from email threads (phone, socials, websites) Fallback web search via Brave API when no email history exists Saves enriched data to Google Sheets with all discovered contact details Perfect For Musicians & bands organizing booker/venue contacts Freelancers & agencies building client databases Sales teams enriching prospect lists from outbound campaigns Consultants creating structured contact databases from years of emails Key Features Intelligent Two-Path Enrichment Path A (Email History): Analyzes existing email threads to extract contact details from signatures and message content Path B (Web Search): Falls back to Brave API search + HTML scraping when no email history exists AI-Powered Data Extraction Uses GPT-5 Nano to intelligently parse: Phone numbers Website URLs LinkedIn profiles Instagram, Twitter, Facebook, Youtube, TikTok, LinkTree, BandCamp... Alternative email addresses Built-in Deduplication Prevents duplicate entries by checking existing Google Sheets records before processing. Free-Tier Friendly Runs entirely on free tiers: Gmail API (free) OpenAI GPT-5 Nano (cost-effective) Brave Search API (2,000 free searches/month) Google Sheets (free) Setup Requirements Required Accounts & Credentials Gmail Account - OAuth2 credentials for Gmail API access OpenAI API Key - For GPT-5 Nano model Brave Search API Key - Free tier (2,000 searches/month) Google Sheets - OAuth2 credentials Google Sheets Structure Create a Google Sheet with these columns (see template link): Template Sheet: Make a copy here How to Use Clone this workflow to your n8n instance Configure credentials for Gmail, OpenAI, Brave Search, and Google Sheets Create/connect your Google Sheet using the template structure Run manually to process all sent emails and build your initial database Review results in Google Sheets - enriched with discovered contact info First Run Tips Start with a smaller Gmail query (e.g., last 6 months) to test Check Brave API quota before processing large volumes Manual trigger means you control when processing happens Processing time varies based on email volume (typically 2-5 seconds per contact) Customization Ideas Extend the Enrichment Include company information parsing Extract job titles from email signatures Automate Regular Updates Convert manual trigger to scheduled trigger Process only recent sent emails for incremental updates Add email notification when new contacts are added Integration Options Push enriched contacts to CRM (HubSpot, Salesforce) Send Slack notifications for high-value contacts Export to Airtable for relational database features Improve Accuracy Add human-in-the-loop review for uncertain extractions Implement confidence scoring for AI-extracted data Add validation checks for phone numbers and URLs Use Case Example Music Promoter Building Venue Database: Processed 1,835 sent emails to bookers and venues AI extracted contact details from 60% via email signatures Brave search found websites for remaining 40% Final database: 1,835 enriched contacts ready for outreach Time saved: ~40 hours of manual data entry Technical Notes Rate Limiting: Brave API free tier = 2,000 searches/month Duplicates: Handled at workflow start, not during processing Empty Results: Stores email + name even when enrichment fails Model: Uses GPT-5 Nano for cost-effective parsing Gmail Scope: Reads sent emails only (not inbox) Cost Estimate For processing 1,000 contacts: Gmail API: Free GPT-5 Nano: ~$0.50-2 (depending on email length) Brave Search: Free (within 2K/month limit) Google Sheets: Free Total: Under $2 for 1,000 enriched contacts Template Author: Questions or need help with setup? 📧 Email:xciklv@gmail.com 💼 LinkedIn:https://www.linkedin.com/in/vaclavcikl/
By Václav Čikl