Purpose
1.2. Alert customers or agency representatives instantly when price drops or preferred fare conditions occur.
1.3. Streamline the flight ticket selection process, minimizing manual research and booking delays.
1.4. Enhance client experience by ensuring best-value airfare suggestions and timely notification of fare changes.
Trigger Conditions
2.2. Scheduled polling interval met (e.g., hourly, daily).
2.3. Fare change detected by scraping/API calls to designated travel/airline sites.
2.4. Price falls below pre-set threshold or matches client’s target fare.
Platform variants
• Feature/Setting: Live Price Search; configure with origin, destination, dates, and trigger on fare change.
3.2. Amadeus for Developers
• Feature/Setting: Flight Offers Search API; set up fare monitoring and notification webhook.
3.3. Google Flights API (unofficial/scraping)
• Feature/Setting: Schedule headless browser scrape with search params; parse fare results.
3.4. Sabre APIs
• Feature/Setting: Bargain Finder Max; trigger automation on lower fare discovery.
3.5. Kayak Data Services
• Feature/Setting: Public Fares endpoint; poll fares, compare previous and current results.
3.6. Expedia Rapid API
• Feature/Setting: Itinerary Pricing session; detect and act on fare updates.
3.7. Travelport Universal API
• Feature/Setting: Air Pricing Solution; trigger event when optimal pricing found.
3.8. FareCompare API
• Feature/Setting: Fare Alerts endpoint; set user fare thresholds, push notification on match.
3.9. Kiwi.com Public API
• Feature/Setting: Search endpoint; retrieve and compare flight results.
3.10. Momondo API
• Feature/Setting: Poll results for target routes, alert on fare drop.
3.11. Hopper Predictive Fare API
• Feature/Setting: Airfare predictions; alert and recommend best booking window.
3.12. Twitter API
• Feature/Setting: Auto-post deals via Tweet, configure hashtag alerting.
3.13. Slack
• Feature/Setting: Automate sending price alerts to channel; use custom webhook integration.
3.14. Twilio SMS
• Feature/Setting: Send SMS notification to user on fare alert trigger.
3.15. SendGrid
• Feature/Setting: Automated Email price alert; configure with prebuilt template.
3.16. Zapier
• Feature/Setting: Multi-app automation; trigger on price change, route to communications.
3.17. Microsoft Power Automate
• Feature/Setting: Scheduled API checks; conditional alert logic for price drops.
3.18. Telegram Bot API
• Feature/Setting: Push instant messages upon fare changes to subscriber list.
3.19. Pushover
• Feature/Setting: Real-time mobile push alerts set up on fare trigger.
3.20. AWS Lambda
• Feature/Setting: Event-driven function executing fare checks and downstream notifications.
3.21. Google Sheets
• Feature/Setting: Log fare tracking data; script notifications when values meet criteria.
3.22. Mailgun
• Feature/Setting: Trigger bulk customer alerts on fare updates via email batch.
Benefits
4.2. Reduces operational load and manual fare comparisons.
4.3. Provides a competitive edge by offering time-sensitive deals.
4.4. Improves customer loyalty through proactive communication.
4.5. Minimizes revenue loss from missed fare drops and booking delays.