Flight Deal/price Monitoring System Development - help needed with API and historical data

@A2Design

Hello, We understand your desire to develop a Flight Deal Monitoring System that accurately tracks and compares real-time fares against historical averages, showcasing significant discounts from Norwegian airports. At A2 Design, we possess extensive experience in building scalable platforms, like MadPaws and TutorTime, that handle high user volumes and complex data integrations. By leveraging APIs, we can facilitate real-time fare comparisons while efficiently managing historical data storage. Our recommendations will ensure we capture low-cost carriers as well as legacy airlines, optimizing your cost model for a startup phase. Let’s discuss how we can elevate your project and implement the best API solutions tailored to your needs. Reach out to explore the next steps!

@a4logic

Hello, As an experienced developer and designer, my team and I at Our Software are equipped to help you create the flight deal monitoring system that you desire. Not only do we understand the latest technologies required for such a project, but we also have extensive experience with APIs that will be fundamental in monitoring and comparing real-time fares against historical data. We understand how crucial it is for your platform to monitor numerous routes without incurring exorbitant API costs - we can implement smart solutions to achieve this. To address your concern about normal price comparisons, we can design your system to either store historical data or utilize APIs that provide it, depending on what works best for you. You'll be pleased to know that we have utilized various APIs such as Amadeus, Skyscanner, Kiwi/Tequila, and SerpApi successfully in other projects and can recommend the most suitable for yours. Additionally, our solution will capture not just legacy airlines but also low-cost carriers like Ryanair, Norwegian, and Wizz Air. With regards to pricing, you mentioned that you're running a small site currently. We understand the need for cost efficiency while scaling. Hence, we assure you a realistic cost model designed with your budgetary needs in mind. Having faced similar price-tracking challenges in our past projects, we possess the practical know-how needed to ensure your platform functions optimally while keepi Thanks!

@extreamcode

Hi, I understand that you're aiming to build an intelligent flight deal monitoring system that surfaces genuinely discounted flights by comparing real-time fares with historical averages. This challenge requires both deep technical insight and smart cost management to handle high-frequency API calls efficiently. Having worked extensively with API integrations, database management, and pricing algorithms, I've helped clients build scalable, cost-effective flight price trackers. Typically, services maintain their own historical datasets to avoid excessive API costs, leveraging data caching and batch requests. For capturing a comprehensive flight spectrum , including low-cost carriers like Ryanair and Norwegian , APIs like Kiwi/Tequila or Amadeus are reliable, supported by custom scraping and normalized data storage. I’ve shared an initial estimate based on your description, and once we go over a few technical or functional details, I’ll confirm the exact cost and delivery schedule. Let’s discuss the best API strategy and how to optimize historical data storage. Which flight routes or regions do you prioritize most for initial monitoring to optimize API usage and costs? Thanks, Asad

@ZohaibRoy

⭐⭐⭐⭐⭐ Build a Flight Deal Tracker to Find Amazing Discounts ❇️ Hi My Friend, I hope you are doing well. I just reviewed your project requirements and I can see you are looking for a flight deal tracking solution. You have no need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for flight deal tracking. I will create a system that monitors real-time fares, compares them with historical prices, and publishes the percentage drop to showcase the best deals. ➡️ Why Me? I can easily do your flight deal tracking project as I have 5 years of experience in web development, API integration, and data analysis. My expertise includes building efficient systems that monitor multiple data sources without overspending. Not only this, I have a strong grip on relevant technologies like Python, SQL, and various API services. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Web Development ✅ API Integration ✅ Data Analysis ✅ Python Programming ✅ SQL Database Management ✅ Real-Time Monitoring ✅ Cost Optimization ✅ Historical Data Analysis ✅ System Design ✅ Automation Solutions ✅ Project Management ✅ Problem-Solving Waiting for your response! Best Regards, Zohaib

@khurshid040462

Hi there, I'm excited about the chance to help you develop a comprehensive flight deal and price monitoring system. With my extensive experience in API development and data integration, I can guide you on how to efficiently monitor multiple routes without incurring excessive API costs. Many successful services utilize a mix of historical data storage and reliable APIs to track average prices. For your project, I recommend using a combination of Amadeus and SerpApi for real-time data, as they effectively include low-cost carriers like Ryanair and Norwegian. I can also provide a detailed, cost-effective model that outlines expected monthly spends and scaling strategies. Let’s discuss your project further and develop a tailored solution that meets all your needs.

@Programmers12

I can help build a flight deal tracking system that monitors real-time fares versus historical averages, captures both low-cost and legacy carriers, and integrates cost-efficient APIs like Kiwi/Tequila or Skyscanner. I’ll provide a scalable solution with practical advice on rate limits, data storage, and cost optimization. Best Regards, Muhammad

@jayprakashyadav

As a Full Stack Developer with strong experience in API integrations and backend systems, I can enhance your flight deal monitoring platform with reliable data storage, historical price comparisons, and efficient deal detection. I’ve worked with Amadeus, Skyscanner, and Kiwi/Tequila APIs, and understand their pricing models, rate limits, and performance trade-offs. I’m also experienced in building scalable backends using Python (Django, Flask, FastAPI) and Node.js, with a clear focus on cost optimization while ensuring coverage of key carriers like Ryanair, Norwegian, and Wizz Air. My approach prioritizes accuracy, efficiency, and long-term scalability. I’m confident I can deliver a robust, cost-effective solution tailored to your requirements. Thanks, Jay

@mubeenm5026

Firstly, let me assure you that my team and I at Web Crest have the technical expertise and practical experience you need to build a powerful and efficient flight deal/price monitoring system. With our skills in API Development and Data Integration, we've successfully tackled similar challenges of monitoring numerous data streams without draining resources or extensive API calls. We've implemented solutions that wisely utilize APIs such as Amadeus, Skyscanner, Kiwi/Tequila, SerpApi, effectively managing rate limits while providing a comprehensive dataset. In terms of capturing "normal prices", we've shown great dexterity by storing historical data ourselves and utilizing relevant APIs when possible, giving us multiple ways to intelligently compare prices for accurate discounts. Moreover, implementing systems that capture not only legacy airlines but also low-cost carriers like Ryanair, Norwegian, Wizz Air is an area in which we excel. Understanding the importance of cost management and scalability for a small site, we focus on creating solutions that are cost-effective but still meet your needs. Our realistic cost models encompass an expected monthly spend with rate limits as well as outlining strategies to economize while scaling.

@rohan3188

Hi, I can complete this project ASAP. I'm an experienced full stack and I have rich experience over 8 years I’m sure I can fully satisfy your requirements with my ability, experience and neatness. I’d be happy to discuss about your project details. Please contact me. Best regards!

@ixorawebmob

Hello, I’ve gone through your project details and this is something I can definitely help you with. With over 10 years of experience in web development and API integrations, I understand the intricacies of building a Flight Deal Monitoring System. I can assist in designing an architecture that effectively pulls real-time fare data and compares it to historical averages, ensuring you capture significant savings for users. To address your queries: 1. Services can monitor routes by leveraging a combination of effective API strategies and caching mechanisms to minimize costs. 2. Historical prices can be stored locally or accessed via specialized APIs, depending on your budget and requirements. 3. I suggest considering Amadeus and Skyscanner due to their comprehensive data on both budget and legacy airlines. 4. I’ll ensure the solution captures low-cost carriers like Ryanair and Norwegian along with others. 5. I can provide a clear cost model based on your site’s current usage and growth trajectory. Could you share more about your current website's setup and any specific features you envision for the new system? Let’s discuss further to align on your vision! Regards, Arpit

@johnallenvillan1

Hi, I see your focus is on surfacing true discounts by comparing real‑time fares with historical averages across both European and long‑haul routes. I’ve built similar fare‑monitoring systems where I reduced API spend by caching route-level snapshots and scheduling differential checks rather than polling full inventories. In one project tracking 600+ city pairs, I delivered a 40% reduction in API costs by combining low‑frequency baseline scrapes with high‑frequency price deltas. The real risk here isn’t the API choice but how you structure historical data so it remains statistically meaningful without blowing your quota. Long‑haul routes fluctuate differently from low‑cost carriers, so the aggregation logic needs to separate weekday/weekend patterns and seasonality to avoid false "discount" alerts. I’ll design a tiered monitoring workflow, store normalized route histories, and integrate an API mix that captures both legacy and low‑cost carriers. I’ll also map your existing database to ensure clean ingestion routines and automated anomaly detection. Before I finalize the architecture, I need a clear view of your current server environment, storage limits, and preferred stack for background workers. I can have a full technical blueprint ready within a few days. Best regards, John allen.

@samarhabib

Greetings, I'm a full stack developer with 10+ years of experience, I’ve built fare-monitoring and price-anomaly detection systems that track multi-route inventory efficiently using smart polling, caching, and historical price baselining. I can architect a cost-optimized solution (Amadeus/Skyscanner/Tequila hybrid or SERP-based scraping fallback) that captures LCCs like Ryanair, Norwegian, and Wizz Air while maintaining a scalable historical dataset for true %-drop calculations. Why work with me? ★ Proven track record: 73 successful projects with 5-star reviews ★ Expertise in Node.js, Angular, React, Express, Python, Django, Flask, PHP, Laravel, Codeigniter and more ★ Responsive, deadline-focused, and committed to results ★ 3 months of free post-launch support Let’s schedule a quick chat to discuss your preferred tech stack, timelines, and launch goals. I’m confident I can bring your vision to life. Best regards, Samar H.

@toriquldev123

Hello Dear! I write to introduce myself. I'm Engineer Toriqul Islam. I was born and grew up in Bangladesh. I speak and write in English like native people. I am a B.S.C. Engineer of Computer Science & Engineering. I completed my graduation from Rajshahi University of Engineering & Technology ( RUET). I love to work on Web Design & Development project. Web Design & development: I am a full-stack web developer with more than 10 years of experience. My design Approach is Always Modern and simple, which attracts people towards it. I have built websites for a wide variety of industries. I have worked with a lot of companies and built astonishing websites. All Clients have good reviews about me. Client Satisfaction is my first Priority. Technologies We Use: Custom Websites Development Using ======>Full Stack Development. 1. HTML5 2. CSS3 3. Bootstrap4 4. jQuery 5. JavaScript 6. Angular JS 7. React JS 8. Node JS 9. WordPress 10. PHP 11. Ruby on Rails 12. MYSQL 13. Laravel 14. .Net 15. CodeIgniter 16. React Native 17. SQL / MySQL 18. Mobile app development 19. Python 20. MongoDB What you'll get? • Fully Responsive Website on All Devices • Reusable Components • Quick response • Clean, tested and documented code • Completely met deadlines and requirements • Clear communication You are cordially welcome to discuss your project. Thank You! Best Regards, Toriqul Islam

@VianRey1

Getting dozens of flight deal alerts every day is exciting, but actually surfacing the real bargains from Norwegian airports without burning through API costs can feel impossible. Sorting out which fares are truly discounted, especially across both low-cost and legacy airlines, is a huge time sink and can end up costing more than it saves if you pick the wrong data approach. With the right setup, you’ll be able to reliably spot flights that are genuinely underpriced compared to historical averages, and publish clear percentage drops that travelers can trust. Here’s how I’d help: First, I’ll recommend the best-fit flight data API based on your need to cover both budget and full-service airlines. Next, I’ll outline how to build up your own pool of historical price data efficiently and keep your API usage sustainable. Finally, you’ll get a straightforward model for keeping costs low as your site grows. Which Norwegian airports would you like to focus on first?

@arbu1499

Greetings, This is a great concept — building a deal engine that tracks Norwegian departures, compares real-time fares against historical averages, and publishes clear “–53% vs. typical price” drops is exactly the kind of price-intelligence system I’ve worked on before. I can help you design a cost-efficient monitoring architecture (smart route batching, controlled polling, and your own historical pricing database) while recommending the right API mix to capture both LCCs and legacy carriers. Since your site and database are already live, we can focus purely on scaling the data layer and deal-detection logic without wasting budget. Happy to map out a realistic cost model and technical roadmap tailored to your traffic stage. Looking forward for your positive response in the chatbox. Best Regards, Arbaz M

@rbtech1984

Hello There!!! ★★★★ ( Flight Deal/Price Monitoring System ) ★★★★ I understand you want to build a flight deal monitoring system that tracks truly discounted fares from Norwegian airports, compares them to historical averages, and surfaces percentage drops for both short European and long-haul flights. You also need guidance on APIs, historical price storage, and cost-efficient scaling. ⚜ Analyze real-time flight data from carriers and aggregators ⚜ Store and query historical fares to calculate normal prices ⚜ Integrate APIs like Skyscanner, Kiwi/Tequila, Amadeus, and low-cost carrier feeds ⚜ Detect and highlight genuine discounted flights automatically ⚜ Design cost-efficient monitoring to minimize API calls and avoid rate limits ⚜ Ensure coverage of Ryanair, Norwegian, Wizz Air, and legacy airlines ⚜ Provide reporting and alerts for end-users With 9+ years in web development, API integration, and real-time monitoring systems, I’ve built data pipelines for pricing analytics and can design a system to capture both historical trends and live fares efficiently using PHP, MySQL, and serverless API handling. I can help you scale this platform reliably while keeping API costs low. Let’s discuss the APIs and architecture to get it live fast. Warm Regards, Farhin B.

@thegraphics22

I hope you’re doing great! It sounds like you're looking to create a flight deal monitoring system that highlights genuine discounts from Norwegian airports by comparing real-time fares with historical averages. To tackle this, I would focus on efficient API usage to minimize costs while gathering the necessary data. For the “normal price,” we can explore options for storing historical data ourselves or leveraging existing APIs that provide this information. I have experience with several flight APIs like Amadeus and Skyscanner, which can capture both low-cost and legacy carriers effectively. My goal would be to recommend the best options based on your needs, ensuring we keep costs manageable as you scale up. One question I have is: what specific features or functionalities do you envision for the alerts and notifications system? Best regards,

@brayanstiven5

Hi, there, as an experienced freelance engineer with expertise in database management, software architecture, and API development, I am well-equipped to tackle the challenges posed in developing a Flight Deal/price Monitoring System. Leveraging my skills, I propose a comprehensive solution: I will ✅ Implement an efficient monitoring system by utilizing smart data caching techniques to minimize API calls, cutting costs without compromising on coverage. ✅ Utilize a blend of historical data storage and real-time API queries to establish normalized price benchmarks for accurate percentage drop calculations. ✅ Recommend utilizing Amadeus and Skyscanner APIs for comprehensive route coverage, ensuring inclusion of low-cost carriers like Ryanair and Wizz Air. ✅ Propose a cost-effective model with an expected monthly spend breakdown, rate limits optimization, and strategies for cost-efficient scalability. ✅ Share insights from past projects involving price-tracking solutions to demonstrate practical experience and expertise. I look forward to working with you. Best Regards. Brayan

@FizzaNadeemK

Hi I understand your goal: a lightweight, accurate flight-deal system that highlights true discounts from Norwegian airports without burning through API calls. The key is combining smart data capture with a self-built historical baseline. Services like this typically use a hybrid approach: pull real-time fares from APIs like Amadeus, Kiwi/Tequila, or Skyscanner, while maintaining their own historical price database to calculate “normal price” and percentage drops. This avoids repeated expensive API calls for every route. Low-cost carriers like Ryanair, Norwegian, and Wizz Air are captured reliably if the chosen API exposes their inventory. I can map a cost-efficient setup with route prioritization, scheduled polling, and caching, providing realistic monthly spend, rate-limit considerations, and a strategy to scale as traffic grows. I’ve implemented similar deal-detection systems that normalize seasonal, route, and booking-window data for accurate percentage drops. If you share your current stack and target routes, I can recommend the most suitable APIs, storage approach, and cost model so the system is both scalable and precise. Best Regards, Fizza Nadeem K