Amadeus Flight Bargains
This workflow can automatically monitor flight prices for specified routes, querying daily at scheduled times and comparing them with the set target price. Once a discounted flight below the target price is detected, the system will immediately notify the user via email. By integrating flight search APIs and intelligent filtering features, it significantly saves users time in searching for discounted tickets and increases the likelihood of discovering promotional flights, making it suitable for various scenarios such as individuals, travel agencies, and corporate travel management.
Tags
Workflow Name
Amadeus Flight Bargains
Key Features and Highlights
This workflow automatically performs scheduled daily queries for flight prices on specified routes and compares them against preset price targets. Once a flight deal below the target price is detected, it immediately sends an email notification to the user via Gmail. It integrates the Amadeus Flight Search API to enable real-time flight data retrieval and intelligent filtering. Additionally, it leverages code nodes to optimize and parse airline information, ensuring the email content is professional and detailed.
Core Problem Addressed
When searching for discounted airfares, users face an overwhelming number of flights and complex pricing information, making it difficult to efficiently monitor and filter suitable options. This workflow automates the querying and filtering process, significantly saving users’ time and increasing the chances of finding bargain flights. It effectively resolves the time-consuming and labor-intensive nature of manual searches.
Use Cases
- Individuals or travel agencies regularly monitoring discounted flights on specific routes
- Price-sensitive travelers who want to receive low-price flight alerts instantly
- Corporate travel management teams automating budget-compliant flight recommendations
- Travel recommendation platforms integrating flight deal notification features
Main Workflow Steps
- Schedule Trigger: Triggers the workflow daily at a specified time (default at 8 AM).
- FromTo: Sets departure and destination airport codes (e.g., LHR to JFK).
- CarrierNameLookup: Calls the Amadeus airline reference data API to build a mapping table between airline codes and names.
- Get Dates: Calculates a list of future target dates (e.g., 7 and 14 days ahead) for flight queries.
- Loop Over Items: Iterates over the query dates to process requests in batches.
- Amadeus Flight Search: Invokes the Amadeus Flight Search API to retrieve flight pricing data.
- Wait: Inserts a delay to avoid sending requests too rapidly.
- Merge & Extract: Merges multi-day data and extracts flight details such as airline name, departure time, flight duration, and price.
- Under Price: Filters flights priced below the user-defined threshold (e.g., 600).
- Gmail: Sends an email notification containing flight information and pricing details.
Involved Systems and Services
- Amadeus API (OAuth2 authentication): Flight search and airline reference data
- Gmail (OAuth2 authentication): Email sending service
- n8n built-in nodes: Scheduling trigger, HTTP requests, code execution, batch processing, waiting, filtering, etc.
Target Users and Value Proposition
- Travel enthusiasts and independent travelers who want easy access to discounted flight information
- Travel agencies and corporate travel managers aiming to enhance flight price monitoring efficiency
- E-commerce platforms or travel recommendation services looking to enrich user experience and service capabilities
- Users seeking to reduce manual search costs through automation
This workflow achieves a fully automated closed loop from airline data acquisition, date management, flight searching to email notification, greatly enhancing the convenience and timeliness of discovering discounted airfares, thus delivering tangible travel value to users.
Automated Daily Financial News Summary Delivery Workflow
This workflow automatically retrieves the latest financial news from the UK Financial Times at a scheduled time every day, extracting key headlines and focal content. It utilizes the Google Gemini AI model for professional summarization, generating clearly structured HTML emails, which are then automatically sent to designated recipients. This process integrates news collection, content refinement, and email distribution, helping investors quickly access important information and enhance decision-making efficiency. It is suitable for investment institutions, financial analysts, and other users who need to regularly monitor market dynamics.
Reply Draft with OpenAI Assistant (Automated Reply Draft Generation Based on OpenAI Assistant)
This workflow automatically generates reply drafts by monitoring emails with specific labels in Gmail. It passes the content of the latest emails to an intelligent assistant, which generates high-quality replies and inserts them into the original email thread in a properly formatted manner, finally removing the triggering label. This process significantly enhances the efficiency of email responses, making it particularly suitable for scenarios like customer service and sales that require quick email handling, thereby reducing the manual workload and achieving intelligent and automated email replies.
Email Verification Auto-Detection Workflow
This workflow is manually triggered to automatically call the well-known Hunter API to verify a specified email address, quickly assessing its validity and availability. It simplifies the email verification process, helping users avoid email delivery failures and resource waste due to invalid email addresses in scenarios such as marketing, customer relationship management, and recruitment, thereby enhancing the communication efficiency and marketing effectiveness of the business.
Microsoft Outlook AI Email Assistant
This workflow integrates Microsoft Outlook email with the OpenAI GPT-4 model to enable intelligent analysis and automatic classification of untagged emails. It can automatically clean email content, accurately identify email types and priorities, and enhance email processing efficiency by incorporating external CRM contact data. It supports flexible configuration of classification rules, reducing manual filtering time, making it suitable for enterprise email management, sales, and customer service teams, and helping users achieve efficient email management and automation.
Email Mailbox as Todoist Tasks
This workflow automatically converts unread and starred emails from Gmail into Todoist tasks. Utilizing AI to intelligently analyze the content of the emails, it generates task titles, descriptions, and suggested action plans. It effectively addresses the issues of chaotic email management and task omissions, helping users efficiently capture work priorities and improve the efficiency of email handling and task management. This solution is suitable for professionals and teams who need to quickly transform emails into actionable tasks.
Forward Netflix Emails to Multiple Recipients Using Gmail and Mailjet
This workflow can automatically monitor emails from Netflix in a Gmail inbox and batch forward their content in real-time to multiple preset recipients. Users can customize the recipient list to ensure that important notifications and billing information are delivered promptly, avoiding the hassle and omissions of manual forwarding. It is suitable for sharing Netflix-related information among family members or for synchronizing emails within a team, significantly enhancing communication efficiency and management convenience. This makes it an ideal choice for users looking to simplify email management and improve information delivery.
WordPress Contact Form (CF7) Responses and Classification
This workflow automatically receives user submissions from the Contact Form 7 plugin on WordPress, intelligently categorizes customer messages, and uses the Google Gemini language model to generate personalized email reply drafts. All data is uniformly stored in Google Sheets, achieving full-process automated management of customer inquiries. This system significantly enhances customer service response speed and quality, helping businesses handle customer needs more efficiently and optimize service processes, making it suitable for small and medium-sized enterprises as well as e-commerce platforms.
Hacker News Show HN Trending Projects Email Digest
This workflow is capable of regularly fetching content from the Hacker News homepage, automatically filtering out popular projects that contain the keyword "Show HN:", and sending them to users via email. It addresses the cumbersome process of users manually searching for information, achieving automated data collection and integration. This helps tech enthusiasts, entrepreneurs, and investors quickly access the latest ideas and project showcases, enhancing the efficiency and accuracy of information retrieval.