HighLevel and HTTP Request integration

📌 AI Agent via GoHighLevel SMS with Website-Based Knowledgebase This n8n workflow enables an AI agent to interact with users through GoHighLevel SMS, leveraging a knowledgebase dynamically built by scraping the company's website. ❓ Problem It Solves Traditional customer support systems often require manual data entry and lack real-time updates from the company's website. This workflow automates the process by: Scraping the company's website at set intervals to update the knowledgebase. Integrating with GoHighLevel SMS to provide users with timely and accurate information. Utilizing AI to interpret user queries and fetch relevant information from the updated knowledgebase. 🧰 Pre-requisites Before deploying this workflow, ensure you have: An active n8n instance (self-hosted or cloud). A valid OpenAI API key (or any compatible AI model). A Bright Data account with Web Unlocker setup. A GoHighLevel SMS LeadConnector account. A GoHighLevel Marketplace App configured with the necessary scopes. Installed n8n-nodes-brightdata community node for Bright Data integration (if self-hosted). ⚙️ Setup Instructions Install the Bright Data Community Node in n8n For self-hosted n8n instances: Navigate to Settings → Community Nodes. Click on Install. In the search bar, enter n8n-nodes-brightdata. Select the node from the list and click Install. Docs: https://docs.n8n.io/integrations/community-nodes/installation/gui-install Configure Bright Data Credentials Obtain your API key from Bright Data. In n8n, go to Credentials → New, select HTTP Request. Set authentication to Header Auth. In Name, enter Authorization. In Value, enter Bearer <your_api_key_from_Bright_Data>. Save the credentials. Configure OpenAI Credentials Add your OpenAI API key to the relevant nodes. If you want to use a different model, replace all OpenAI nodes accordingly. Set Up GoHighLevel Integration a. Create a GoHighLevel Marketplace App Go to https://marketplace.gohighlevel.com Click My Apps → Create App Set Distribution Type to Sub-Account Add the following scopes: locations.readonly contacts.readonly contacts.write opportunities.readonly opportunities.write users.readonly conversations/message.readonly conversations/message.write Add your n8n OAuth Redirect URL as a redirect URI in the app settings. Save and copy the Client ID and Client Secret. b. Configure GoHighLevel Credentials in n8n Go to Credentials → New Choose OAuth2 API Input: Client ID Client Secret Authorization URL: https://auth.gohighlevel.com/oauth/authorize Access Token URL: https://auth.gohighlevel.com/oauth/token Scopes: locations.readonly contacts.readonly contacts.write opportunities.readonly opportunities.write users.readonly conversations/message.readonly conversations/message.write Save and authenticate to complete setup. Docs: https://docs.n8n.io/integrations/builtin/credentials/highlevel 🔄 Workflow Functionality (Summary) Scheduled Scraping**: Scrapes website at user-defined intervals. Edit Fields** node: User defines the homepage or site to scrape. Bright Data Node* (self-hosted) OR HTTP Node* (cloud users) used to perform scraping. Knowledgebase Update**: The scraped content is stored or indexed. GoHighLevel SMS**: Incoming user queries are received through SMS. AI Processing**: AI matches queries to relevant content. Response Delivery**: AI-generated answers are sent back via SMS. 🧩 Use Cases Customer Support Automation**: Provide instant, accurate responses. Lead Qualification**: Automatically answer potential customer inquiries. Internal Knowledge Distribution**: Keep staff updated via SMS based on website info. 🛠️ Customization Scraping URLs**: Adjust targets in the Edit Fields node. Model Swap**: Replace OpenAI nodes to use a different LLM. Format Response**: Customize output to match your tone or brand. Other Channels**: Expand to include chat apps or email responses. Vector Databases**: It is advisable to store the data into a third-party vector database services like Pinecone, Supabase, etc. Chat Memory Node**: This workflow is using Redis as a chat memory but you can use N8N built-in chat memory. ✅ Summary This n8n workflow combines Bright Data’s scraping tools and GoHighLevel’s SMS interface with AI query handling to deliver a real-time, conversational support experience. Ideal for businesses that want to turn their website into a live knowledge source via SMS, this agent keeps itself updated, smart, and customer-ready.

Project Overview: Automated Climate-Driven HVAC Upsell & AI Concierge This project is specifically built for an HVAC business to automatically upsell to old customers when their locality has a heatwave or snow wave forecast in the upcoming five days. Prerequisites & Setup GoHighLevel (GHL) Create Custom Fields:** stop_whatsapp: Used when a user replies "STOP" to remove them from the marketing list. opp_type: To track the campaign type (e.g., heatwave or snowwave). Create Two Pipelines:** Pipeline A: HEATWAVE Pipeline B: SNOWWAVE Note: Both pipelines require 4 stages: New Lead, Contacted, Scheduled, and Closed. Grab the Calendar ID:** Keep your GHL Calendar ID handy, as the workflow will need it to search for free slots and book appointments. WhatsApp (Meta Business Suite) Create and approve two marketing templates for proactive outreach: A. Heatwave Template > Hello {{1}}, > With temperatures expected to rise soon, we wanted to share a few tips to keep your home comfortable and your AC running efficiently. > Maintenance Tips: > • Keep blinds closed during peak sun hours. > • Check your air filters; a clean filter prevents overworking. > • If you leave the house, raise the thermostat a few degrees rather than turning it off. > Need help? > If your system is struggling to keep up, we are here to assist. > Stay cool and safe! B. Snow Wave Template > Hello {{1}}, > With a cold front and freezing temperatures expected soon, we wanted to share a few tips to keep your home warm and your heating system running efficiently. > Winter Comfort Tips: > • Keep curtains and blinds open during the day to let sunlight naturally warm your home, then close them at night to trap the heat. > • Check your air filters; a clogged filter makes your heater work much harder in freezing weather. > • Ensure your outdoor vents and heat pump units are clear of snow or debris to maintain proper airflow. > Need help? > If your heating system is struggling to stay warm or making unusual noises, we are here to assist. > Stay warm and safe! API Integrations Nominatim OpenStreetMap API:** Review the documentation. This open-source tool will be used to extract exact cities from customer street addresses. WeatherAPI:** Obtain a free API key. Add this to your workflow's generic credentials (Type: Query Auth > Name: key > Value: your-api-key). Gemini API:** Obtain your API key to power the AI Service Concierge. Part 1: The Climate-Driven Lead Generation Engine (Proactive Outreach) This sub-workflow acts as a proactive scraper. It monitors your CRM contacts, cross-references their locations with live weather data, and triggers targeted upsell campaigns. Schedule Trigger & Fetch Contacts Schedule Trigger:** Kicks off the workflow every morning at 7:00 AM. Fetch Contacts (HighLevel):** Pulls your entire list of previous customers and leads from GoHighLevel. Geocoding & Data Cleaning If Node (City Set):** Checks if the CRM contact already has a city populated. Nominatim API (Loop & Fetch):** If a city is missing, the workflow runs the address through the Nominatim OpenStreetMap API to extract the exact city. Update Contact (HighLevel):** Saves the extracted city back to the GHL contact profile to prevent redundant geocoding in the future. Weather Data Aggregation Code Node (Group by City):** A vital step to optimize API usage. Instead of making 1,000 separate calls for 1,000 contacts, custom JavaScript groups all contacts by their respective cities. HTTP Request (Fetch Forecast):** Pings WeatherAPI.com to grab the 5-day forecast for each unique city. Hazard Detection & Routing Code Node (Detect Weather Hazards):** A script evaluates the 5-day forecast against dynamic, seasonal temperature thresholds (e.g., a "heatwave" threshold in May might be >85°F, but >95°F in August). It tags the grouped contacts with a campaign type (HEATWAVE or SNOWWAVE). If Node (Check Campaign Type):** Routes the qualified leads into the appropriate pipeline logic. CRM Execution & WhatsApp Outreach Create Opportunity (HighLevel):** Drops the qualified lead into the "New Lead" stage of the respective GHL pipeline. Send Template (WhatsApp):** Dispatches the pre-approved Meta marketing template to the customer. Update & Upsert (HighLevel):** Moves the Opportunity to the "Contacted" stage and updates the opp_type custom field so the system tracks the reason for outreach. Part 2: The AI-Powered Service Concierge (Inbound Handling) When a customer replies to the proactive blast (e.g., "My AC is making a weird noise, can someone come out?"), this sub-workflow seamlessly takes over to assist the customer and autonomously book an appointment. Trigger & Validation Trigger (WhatsApp Message Received):** Listens for inbound replies from customers. Fetch & Validate (HighLevel):** Looks up the sender's phone number in GHL. If the number does not exist in the CRM, the workflow ignores the message to prevent spam handling. The Opt-Out Filter If Node (Stop Command):** Scans the inbound message for the keyword "STOP". Upsert Contact (HighLevel):** If "STOP" is detected, the workflow immediately updates the user's stop_whatsapp custom field to TRUE, excluding them from all future blasts, and terminates the flow. The Agentic Core Customer Service AI Agent (LangChain + Gemini):** If the user is requesting assistance, the message is routed to an AI Agent powered by the Gemini Chat Model. Redis Chat History Memory:** Connects to a Redis instance so the AI retains conversation context, which is crucial for natural, back-and-forth scheduling. Agent Tools (HighLevel Integration):** The Gemini agent is equipped with specific tools it can trigger autonomously: Fetch Available Calendar Slots: The AI is strictly instructed to check live GHL availability before suggesting times to the user. Book Calendar Appointment: Automatically secures the timeslot in GHL if the user agrees. Close Deal: If the user declines service ("I'm good, no thanks"), the AI triggers this tool to mark the GHL opportunity as "Closed/Lost". Update Pipeline Stage: If an appointment is successfully booked, the AI moves the pipeline stage to "Scheduled" without any manual human intervention. Final Response Send Response (WhatsApp):** The AI formulates a conversational, friendly reply—utilizing WhatsApp's native formatting like bolding and bullet points—and sends it back to the customer to confirm the action taken.

Workflow explanation: Watch on YouTube Automated HVAC triage & AI diagnosis with Gemini Vision, GoHighLevel & WhatsApp Prerequisites & Setup Before running or deploying this workflow, you need to configure the following services and credentials: GoHighLevel Custom Fields:** You must create the corresponding custom fields in your GoHighLevel account to capture the AI's output (e.g., Property Address, Issue, Brand, Model Number, Serial Number, Manufactured Date, Refrigerant Type, Probable Issue, Repair Action, Estimated Cost Level, Repair Score, and AI Recommendation). GoHighLevel Developer App (OAuth2):** * Create a free GoHighLevel Developer App. Add the following scopes: contacts.readonly, contacts.write, locations.readonly, locations/customFields.readonly, and locations/customFields.write (Note: these custom field scopes replace the standard opportunities scopes). Generate your Client ID and Secret within the Developer App. Enter these details into your n8n GoHighLevel OAuth2 credentials. Copy the OAuth Redirect URL from n8n, paste it into the App's OAuth redirection settings, and complete the authentication process. WhatsApp API Credentials:** You will need your WhatsApp Access Token and WhatsApp Business Account ID. Gemini API Key:** A valid Google Gemini API key to power the AI vision and diagnostic analysis. Node-by-Node Explanation When Form Submitted (Trigger) This is the starting point of the workflow. It uses n8n's native form trigger to collect a service request. It captures the customer's Name, Email, Phone Number, Property Address, a text description of the issue, and crucially, a file upload of the HVAC unit's nameplate or data sticker. Extract File Content This node takes the image uploaded in the previous form step and converts/extracts the file content. By assigning the binary data to the image property, it makes the picture readable and ready to be sent to external APIs for analysis. Post to Gemini API This HTTP Request node acts as the brain of the operation. It sends the reported issue and the extracted image to the gemini-3.1-flash-lite model. The prompt instructs the AI to act as an expert HVAC diagnostic assistant to: Read the nameplate to extract the Brand, Model, Serial Number, Date, and Refrigerant Type. Analyze the text issue against the equipment data to generate a probable issue, repair action, and an estimated cost level. Calculate a "Repair Score" (0 to 100) to recommend whether the unit is worth repairing or replacing. Format the entire response strictly as a JSON object. Parse API Response Because AI models can sometimes wrap JSON in markdown blocks or conversational text, this custom JavaScript Code node uses regex to locate the exact JSON block inside the Gemini output. It safely parses it and outputs clean, structured JSON data for the rest of the workflow to use. Create Lead in GoHighLevel This node connects to your CRM. It maps the original client contact details (Name, Email, Phone) alongside all of the deeply detailed AI insights (Property Address, HVAC Brand, Model, Serial, AI Repair Score, Recommended Action) directly into the GoHighLevel custom fields you set up in the prerequisites. Prepare Binary Image Since the workflow's primary data stream has been replaced by the parsed JSON text, this Code node "teleports" the original binary image data from the Extract File Content node and stitches it together with the current JSON data. This ensures the WhatsApp node has access to both the text details and the photo. Send WhatsApp to Technician The final step dispatches a WhatsApp message directly to the lead technician. It sends the original photo of the HVAC nameplate accompanied by a neatly formatted caption. The caption includes the client's name, property address, the reported issue, the AI's probable diagnosis and cost estimation, and instructions on next steps.

⏺ 🚀 How it works Fully automates your inbound and outbound voice sales pipeline — from live call qualification to CRM pipeline management — with multi-agent AI and automatic lead nurturing if a prospect doesn't book. 📞 Receives end-of-call reports from Vapi or Retell AI via webhook — works with both providers out of the box 🧠 Qualifies every inbound lead using BANT scoring (Budget · Authority · Need · Timeline) powered by Claude Haiku 📅 Detects appointment intent and preferred meeting time using GPT-4o before touching your CRM 🗂️ Upserts the contact and creates a pipeline opportunity in GoHighLevel automatically — no duplicates 💬 Analyses objections and generates a rebuttal script using Claude Sonnet (feel-felt-found + Challenger Sale) 📝 Writes a professional CRM note from the call summary using Gemini 2.0 Flash — ready to sync 🔁 Enrols unqualified leads into a GoHighLevel nurture workflow automatically for long-term follow-up 📤 Fires prioritised outbound calls every morning at 9 AM via Vapi — GPT-4o Mini ranks leads by conversion probability 📊 Logs every call (inbound + outbound) to Supabase and Google Sheets for full pipeline reporting 🛠️ Set up steps Estimated setup time: ~45 minutes Webhook — copy the webhook URL and paste it into your Vapi or Retell dashboard as the end-of-call report URL GoHighLevel — connect your HighLevel OAuth2 credential; set your Pipeline ID, Hot Stage ID, and Nurturing Stage ID in the opportunity nodes (Opportunities → Settings → Pipelines) Anthropic — connect your Anthropic API credential; used for Claude Haiku (BANT qualification) and Claude Sonnet (objection handling) OpenAI — connect your OpenAI API credential; used for GPT-4o (booking intent detection) and GPT-4o Mini (outbound lead ranking) Google Gemini — connect your Google Gemini API credential; used for CRM note writing with gemini-2.0-flash Vapi — add your Vapi API key to the HTTP Request node header; set your Phone Number ID and Assistant ID in the outbound call node (Vapi Dashboard → Phone Numbers / Assistants) Supabase — connect your Supabase API credential; create the voice_call_logs table using the SQL in the setup sticky note inside the workflow Google Sheets — connect Google Sheets OAuth2; set your Spreadsheet ID and ensure a sheet named Voice Call Log exists with the columns listed in the setup sticky note Follow the sticky notes inside the workflow — each section has a one-liner setup guide 📋 Prerequisites Vapi or Retell AI account with an active phone number and assistant configured Anthropic API key (Claude API access) OpenAI API key (GPT-4o and GPT-4o Mini access) Google Gemini API key GoHighLevel account with at least one pipeline and automation workflow set up Supabase project with the voice_call_logs table created Google Sheets spreadsheet set up as your call log --- Custom Workflow Request with Personal Dashboard [email protected] https://www.smartflowcraft.com/contact More free templates https://www.smartflowcraft.com/n8n-templates

Description Streamline your Net Promoter Score (NPS) survey process by automating survey delivery, response tracking, and structured data storage. This workflow integrates GoHighLevel, Gmail, and Notion to ensure every customer response is captured, categorized, and actionable. 💬📧📊 What This Template Does Trigger from GoHighLevel when a deal moves to "Completed." ⚡ Send NPS survey emails via Gmail to the customer automatically. ✉️ Capture responses through a Webhook and store them in structured format. 🔗 Process and categorize NPS responses (Promoter, Passive, Detractor). 🧮 Save results in Notion for centralized tracking and analysis. 📒 Send Slack notifications for quick visibility into customer satisfaction. 🔔 Key Benefits ✅ Automated NPS survey delivery and response tracking ✅ Centralized data storage for long-term insights ✅ Real-time team notifications for faster action ✅ Standardized response categorization ✅ Error handling ensures no response is lost Features GoHighLevel integration to trigger surveys at the right stage Gmail email automation with personalized survey links Webhook capture for dynamic NPS responses Notion database integration for structured data storage Slack alerts for quick feedback visibility Requirements n8n instance (cloud or self-hosted) GoHighLevel API credentials Gmail API credentials (OAuth2) Notion API integration token Slack API token (optional for notifications) Target Audience This workflow is ideal for Customer Success teams, SaaS businesses, agencies, and service providers who want to measure customer satisfaction at scale and act quickly on feedback. Step-by-Step Setup Instructions Configure GoHighLevel, Gmail, Notion, and Slack credentials in n8n. Set up a Notion database with fields for customer, score, category, and comments. Replace hardcoded values with environment variables ($env.GHL_API_KEY, $env.NOTION_DB_ID, etc.). Import the JSON into your n8n instance. Run once manually with test data to verify. Enable the workflow for automated execution. ✅

The AI Calling Agent is a fully automated phone assistant built with n8n, GoHighLevel (GHL), VAPI, and Twilio. This workflow allows you to: Trigger outbound calls from your CRM (GHL). Use a voice AI assistant (VAPI) to talk with leads in real time. Route calls through Twilio. Save appointments and full conversation summaries directly in GHL. It has been tested on real warm leads (not random numbers) and proven stable at up to 300 calls/day without interruption. Instead of manually calling and qualifying each lead, let the agent do it automatically and focus only on booked calls. Workflow in Action Appointment booking The agent can confirm appointments and save them directly in your GHL calendar, along with the summary of the conversation. Agent performance You can monitor conversations, call logs, and outcomes directly in the VAPI dashboard. Agent working live Proof that the agent can run non-stop for hundreds of calls per day without errors or interruptions. Demonstrates reliability and stability even under continuous execution. Contact statuses Each contact in GHL receives a status tag depending on the call result: answered, invalid number, no response, etc. This ensures your pipeline stays clean and updated automatically. The brain of the agent Inside VAPI, every assistant is powered by a command system (the brain) where you define how it should behave during calls. In this case, the brain is propelled by OpenAI, but VAPI also supports a wide range of AI models such as Anthropic Claude, Google Gemini, Mistral, LLaMA and more. The same flexibility applies to voices: you can instantly switch between integrated providers like ElevenLabs, Play.ht, Microsoft Azure Voices, Google Cloud TTS, and others. This makes the agent not only smart but also highly customizable - from the intelligence driving the conversation to the exact voice your clients will hear. Required APIs To run this workflow, you need the following: VAPI API key** → for the voice AI assistant logic. Twilio API key** → to provide phone numbers and route calls. GoHighLevel (GHL) API key** → to manage contacts, pipelines, and save appointments. Setup Steps Generate API keys for VAPI, Twilio, and GHL. Import the n8n template into your environment. Configure credentials in n8n for each API. Set your trigger conditions in GHL (e.g., pipeline stage changes, new leads). Test the workflow with a warm lead before scaling. (Optional) Adjust logging or sync results with Google Sheets/Notion. 💡 Use Cases Sales Teams**: Automatically call new inbound leads, qualify them, and book appointments. Agencies**: Replace repetitive cold calling with an automated assistant, then hand over only the hot leads to human agents. Real Estate**: Pre-qualify potential buyers or renters, schedule viewings, and save results in GHL. Healthcare/Clinics**: Confirm appointments, send reminders, and reduce no-shows with an AI calling agent. Education/Coaching**: Handle inquiries for courses, book consultations, and sync data with your CRM. Inbound Calls: The agent can also be configured to **answer incoming phone calls, providing information, capturing lead details, or routing the caller to the right person. With this template, you get a scalable AI-powered sales assistant that saves hours of manual calling while ensuring every lead gets a fast, professional response. Links 📂 GitHub 📰 Medium Article ▶️ YouTube Lite Version – simplified version using Google Sheets only