Automate hotel booking requests from Gmail to Google Sheets with GPT-5-mini
Whoโs it for
This workflow is for hotel managers, travel agencies, and hospitality teams who receive booking requests via email. It eliminates the need for manual data entry by automatically parsing emails and attachments, assigning booking cases to the right teams, and tracking performance metrics.
What it does
This workflow goes beyond simple automation by including enterprise-grade logic and security:
- ๐ก๏ธ Gatekeeper: Watches your Gmail and filters irrelevant emails before spending money on AI tokens.
- ๐ง AI Brain: Uses OpenAI (GPT-5-mini) to extract structured data from unstructured email bodies and PDF attachments.
- โ๏ธ Business Logic: Automatically routes tasks to different teams based on urgency, room count, and VIP status.
- ๐ Security: Catches PII (like credit card numbers) and scrubs them before they hit your database.
- ๐จ Safety Net: If anything breaks, a dedicated error handling path logs the issue immediately so no booking is lost.
- ๐ ROI Tracking: Calculates the time saved per booking to prove the value of automation.
How to set up
- Create your Google Sheet: Create a new sheet and rename the tabs to: Cases, Team Assignments, Error Logs, Success Metrics.
- Add Credentials: Go to n8n Settings โ Credentials and add your Gmail (OAuth2), Google Sheets, and OpenAI API keys.
- Configure User Settings: Open the "Configuration: User Settings" node at the start of the workflow. Paste your specific Google Sheet ID and Admin Email there.
- Adjust Business Rules: Open the "Apply Business Rules" node (Code node) to adjust the logic for team assignment (e.g., defining what counts as a "VIP" booking).
- Customize Templates: Modify the email templates in the Gmail nodes to match your hotel's branding.
- Test: Send a sample booking email to yourself to verify the filters and data extraction.
Setup requirements
- Gmail account (OAuth2 connected)
- Google Sheets (with the 4 tabs listed below)
- OpenAI API key (GPT-5-mini recommended)
- n8n Cloud or self-hosted instance
How to customize
- Filter Booking Emails: Update the trigger node keywords to match your specific email subjects (e.g., "Reservation", "Booking Request").
- Apply Business Rules: Edit the Javascript in the Code node to fit your companyโs internal logic (e.g., changing priority thresholds).
- New Metrics: Add new columns in the Google Sheet (e.g., โRevenue Metricsโ) and map them in the "Update Sheet" node.
- AI Model: Switch to GPT-5 if you need higher reasoning capabilities for complex PDF layouts.
Google Sheets Structure Description
This workflow uses a Google Sheets document with four main tabs to track and manage hotel booking requests.
1. Cases
This is the main data log for all incoming booking requests.
- case_id: Unique identifier generated by the workflow.
- processed_date: Timestamp when the workflow processed the booking.
- travel_agency / contact_details: Extracted from the email.
- number_of_rooms / check_in_date: Booking details parsed by the AI.
- special_requests: Optional notes (e.g., airport transfer).
- assigned_team / priority: Automatically set based on business rules.
- days_until_checkin: Dynamic field showing urgency.
2. Team Assignments
Stores internal routing and assignment details.
- timestamp: When the case was routed.
- case_id: Link to the corresponding record in the Cases tab.
- assigned_team / team_email: Which department handles this request.
- priority: Auto-set based on room count or urgency.
3. Error Log
A critical audit trail that captures details about any failed processing steps.
- error_type: Categorization of the failure (e.g., MISSING_REQUIRED_FIELDS).
- error_message: Detailed technical explanation for debugging.
- original_sender / snippet: Context to help you manually process the request if needed.
4. Success Metrics
Tracks the results of your automation to prove its value.
- processing_time_seconds: The time savings achieved by the automation (run time vs. human time).
- record_updated: Confirmation that the database was updated.
๐ Support
If you encounter any issues during setup or have questions about customization, please reach out to our dedicated support email: foivosautomationhelp@gmail.com
Automate Hotel Booking Requests from Gmail to Google Sheets with AI
This n8n workflow automates the process of extracting hotel booking requests from incoming Gmail emails, processing them with an AI agent, and logging the structured data into a Google Sheet. It's designed to streamline the handling of booking inquiries, ensuring no request is missed and data is consistently recorded.
What it does
This workflow performs the following key steps:
- Monitors Gmail: Continuously checks a specified Gmail account for new emails.
- Filters Emails: Only processes emails that match specific criteria (e.g., subject line containing "Hotel Booking Request").
- Extracts Email Content: Extracts the plain text content of qualifying emails.
- Processes with AI Agent: Uses an AI Agent (powered by either OpenAI Chat Model or Google Gemini Chat Model) to understand and extract key booking details from the email body.
- Applies Guardrails: Ensures the AI-extracted data adheres to predefined safety and formatting rules, potentially sanitizing or validating information.
- Formats Data: Organizes the extracted booking details into a structured format.
- Logs to Google Sheets: Appends the structured booking request data as a new row in a designated Google Sheet.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running instance of n8n.
- Gmail Account: A Google account with Gmail enabled to serve as the trigger.
- Google Sheets Account: A Google account with access to Google Sheets for logging data.
- OpenAI API Key (Optional): If you choose to use the OpenAI Chat Model for AI processing.
- Google Gemini API Key (Optional): If you choose to use the Google Gemini Chat Model for AI processing.
Setup/Usage
- Import the workflow: Download the provided JSON and import it into your n8n instance.
- Configure Gmail Trigger:
- Set up your Gmail credential.
- Specify the folder to monitor (e.g., "Inbox").
- Add a filter expression (e.g.,
subject:"Hotel Booking Request") to only trigger on relevant emails.
- Configure AI Agent:
- Choose your preferred Language Model (OpenAI Chat Model or Google Gemini Chat Model).
- Provide the necessary API credentials for your chosen AI service.
- Review and adjust the AI Agent's prompt and tools to accurately extract booking details like guest name, check-in/check-out dates, number of guests, room type, special requests, etc.
- Configure Guardrails:
- Review and configure the Guardrails node to ensure data quality and security. This might include PII detection, format validation, or content sanitization.
- Configure Google Sheets Node:
- Set up your Google Sheets credential.
- Specify the Spreadsheet ID and Sheet Name where booking requests should be logged.
- Map the data fields from the AI Agent's output to the corresponding columns in your Google Sheet.
- Activate the workflow: Once all credentials and configurations are set, activate the workflow. It will start monitoring your Gmail for new booking requests.
Related Templates
AI multi-agent executive team for entrepreneurs with Gemini, Perplexity and WhatsApp
This workflow is an AI-powered multi-agent system built for startup founders and small business owners who want to automate decision-making, accountability, research, and communication, all through WhatsApp. The โvirtual executive team,โ is designed to help small teams to work smarter. This workflow sends you market analysis, market and sales tips, It can also monitor what your competitors are doing using perplexity (Research agent) and help you stay a head, or make better decisions. And when you feeling stuck with your start-up accountability director is creative enough to break the barrier ๐ฏ Core Features ๐งโ๐ผ 1. President (Super Agent) Acts as the main controller that coordinates all sub-agents. Routes messages, assigns tasks, and ensures workflow synchronization between the AI Directors. ๐ 2. Sales & Marketing Director Uses SerpAPI to search for market opportunities, leads, and trends. Suggests marketing campaigns, keywords, or outreach ideas. Can analyze current engagement metrics to adjust content strategy. ๐ต๏ธโโ๏ธ 3. Business Research Director Powered by Perplexity AI for competitive and market analysis. Monitors competitor moves, social media engagement, and product changes. Provides concise insights to help the founder adapt and stay ahead. โฐ 4. Accountability Director Keeps the founder and executive team on track. Sends motivational nudges, task reminders, and progress reports. Promotes consistency and discipline โ key traits for early-stage success. ๐๏ธ 5. Executive Secretary Handles scheduling, email drafting, and reminders. Connects with Google Calendar, Gmail, and Sheets through OAuth. Automates follow-ups, meeting summaries, and notifications directly via WhatsApp. ๐ฌ WhatsApp as the Main Interface Interact naturally with your AI team through WhatsApp Business API. All responses, updates, and summaries are delivered to your chat. Ideal for founders who want to manage operations on the go. โ๏ธ How It Works Trigger: The workflow starts from a WhatsApp Trigger node (via Meta Developer Account). Routing: The President agent analyzes the incoming message and determines which Director should handle it. Processing: Marketing or sales queries go to the Sales & Marketing Director. Research questions are handled by the Business Research Director. Accountability tasks are assigned to the Accountability Director. Scheduling or communication requests are managed by the Secretary. Collaboration: Each sub-agent returns results to the President, who summarizes and sends the reply back via WhatsApp. Memory: Context is maintained between sessions, ensuring personalized and coherent communication. ๐งฉ Integrations Required Gemini API โ for general intelligence and task reasoning Supabase- for RAG and postgres persistent memory Perplexity API โ for business and competitor analysis SerpAPI โ for market research and opportunity scouting Google OAuth โ to connect Sheets, Calendar, and Gmail WhatsApp Business API โ for message triggers and responses ๐ Benefits Acts like a team of tireless employees available 24/7. Saves time by automating research, reminders, and communication. Enhances accountability and strategy consistency for founders. Keeps operations centralized in a simple WhatsApp interface. ๐งฐ Setup Steps Create API credentials for: WhatsApp (via Meta Developer Account) Gemini, Perplexity, and SerpAPI Google OAuth (Sheets, Calendar, Gmail) Create a supabase account at supabase Add the credentials in the corresponding n8n nodes. Customize the system prompts for each Director based on your startupโs needs. Activate and start interacting with your virtual executive team on WhatsApp. Use Case You are a small organisation or start-up that can not afford hiring; marketing department, research department and secretar office, then this workflow is for you ๐ก Need Customization? Want to tailor it for your startup or integrate with CRM tools like Notion or HubSpot? You can easily extend the workflow or contact the creator for personalized support. Consider adjusting the system prompt to suite your business
๐ How to transform unstructured email data into structured format with AI agent
This workflow automates the process of extracting structured, usable information from unstructured email messages across multiple platforms. It connects directly to Gmail, Outlook, and IMAP accounts, retrieves incoming emails, and sends their content to an AI-powered parsing agent built on OpenAI GPT models. The AI agent analyzes each email, identifies relevant details, and returns a clean JSON structure containing key fields: From โ senderโs email address To โ recipientโs email address Subject โ email subject line Summary โ short AI-generated summary of the email body The extracted information is then automatically inserted into an n8n Data Table, creating a structured database of email metadata and summaries ready for indexing, reporting, or integration with other tools. --- Key Benefits โ Full Automation: Eliminates manual reading and data entry from incoming emails. โ Multi-Source Integration: Handles data from different email providers seamlessly. โ AI-Driven Accuracy: Uses advanced language models to interpret complex or unformatted content. โ Structured Storage: Creates a standardized, query-ready dataset from previously unstructured text. โ Time Efficiency: Processes emails in real time, improving productivity and response speed. *โ Scalability: Easily extendable to handle additional sources or extract more data fields. --- How it works This workflow automates the transformation of unstructured email data into a structured, queryable format. It operates through a series of connected steps: Email Triggering: The workflow is initiated by one of three different email triggers (Gmail, Microsoft Outlook, or a generic IMAP account), which constantly monitor for new incoming emails. AI-Powered Parsing & Structuring: When a new email is detected, its raw, unstructured content is passed to a central "Parsing Agent." This agent uses a specified OpenAI language model to intelligently analyze the email text. Data Extraction & Standardization: Following a predefined system prompt, the AI agent extracts key information from the email, such as the sender, recipient, subject, and a generated summary. It then forces the output into a strict JSON structure using a "Structured Output Parser" node, ensuring data consistency. Data Storage: Finally, the clean, structured data (the from, to, subject, and summarize fields) is inserted as a new row into a specified n8n Data Table, creating a searchable and reportable database of email information. --- Set up steps To implement this workflow, follow these configuration steps: Prepare the Data Table: Create a new Data Table within n8n. Define the columns with the following names and string type: From, To, Subject, and Summary. Configure Email Credentials: Set up the credential connections for the email services you wish to use (Gmail OAuth2, Microsoft Outlook OAuth2, and/or IMAP). Ensure the accounts have the necessary permissions to read emails. Configure AI Model Credentials: Set up the OpenAI API credential with a valid API key. The workflow is configured to use the model, but this can be changed in the respective nodes if needed. Connect the Nodes: The workflow canvas is already correctly wired. Visually confirm that the email triggers are connected to the "Parsing Agent," which is connected to the "Insert row" (Data Table) node. Also, ensure the "OpenAI Chat Model" and "Structured Output Parser" are connected to the "Parsing Agent" as its AI model and output parser, respectively. Activate the Workflow: Save the workflow and toggle the "Active" switch to ON. The triggers will begin polling for new emails according to their schedule (e.g., every minute), and the automation will start processing incoming messages. --- Need help customizing? Contact me for consulting and support or add me on Linkedin.
IT 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 } }