This workflow automates the process of fetching real-time flight fare data from multiple airline APIs—including Skyscanner, Air India, IndiGo, and Akasa Air—and comparing prices to find the best deals. It is designed to run on a schedule, automatically pulling updated flight prices, merging the data from all sources, and sorting the results to identify the most affordable options. The workflow concludes by emailing the sorted flight fare comparison to the user.
The workflow begins with a schedule trigger that initiates the process at predefined intervals. It then sets input parameters such as origin, destination, departure, and return dates, which are used to query each airline’s API via HTTP request nodes. The API responses are merged step-by-step: first combining data from Akasa Air with Skyscanner, then integrating additional airline data from Air India and IndiGo. All responses are finally consolidated into a single dataset.
A custom function node processes the combined data, extracting relevant flight prices, providers, and booking links, then sorts these by price. The final step sends an email with the sorted pricing information, allowing users to quickly identify the best flight options and potentially save money. This workflow is ideal for frequent travelers, travel agencies, or anyone seeking to monitor and compare airfare prices automatically.
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