TripPilot — AI Travel Research Agent

TripPilot is an AI-powered, constraint-aware travel research Actor that turns natural-language traveller requests into structured, explainable flight and accommodation recommendations.

Instead of requiring users to manually search multiple travel websites and compare fragmented results, TripPilot interprets what the traveller actually needs, researches available options using Apify-powered data sources, applies relevant constraints, ranks the results, and explains its recommendations.

What TripPilot solves

Travel research is often fragmented across different websites and requires travellers to repeatedly enter the same information, compare prices, stops, durations, hotel ratings, locations, and other preferences manually.

TripPilot turns that process into one research workflow:

Natural-language request → requirement extraction → travel research → normalization → constraint filtering → ranking → explainable recommendations

Example input

You can describe a trip naturally:

{
  "request": "I am travelling from Lagos to London from October 15 to October 20, 2026 with my wife, an elderly parent and an infant. We want something reasonably priced, minimal stops and a hotel in London."
}

## Source code

TripPilot is open source. The complete source code for the TripPilot Apify Actor, including the research orchestration, Groq integration, constraint filtering, normalization, ranking, and Apify schemas, is publicly available on GitHub.

**[View TripPilot Actor source code on GitHub](https://github.com/Jilaniyyah/TripPilot/tree/main/actor)**