# TripPilot - AI Travel Research Agent (`jilaniyyah_kazeem/trippilot-actor`) Actor

AI-powered constraint-aware travel research and recommendations from natural-language traveller requirements.

- **URL**: https://apify.com/jilaniyyah\_kazeem/trippilot-actor.md
- **Developed by:** [Jilaniyyah Kazeem](https://apify.com/jilaniyyah_kazeem) (community)
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $50.00 / 1,000 trip researches

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 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:

````json
{
  "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)**



# Actor input Schema

## `request` (type: `string`):

Include your origin, destination, travel dates, travellers, budget, and any important preferences or constraints.

## Actor input object example

```json
{
  "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."
}
````

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("jilaniyyah_kazeem/trippilot-actor").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("jilaniyyah_kazeem/trippilot-actor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call jilaniyyah_kazeem/trippilot-actor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,jilaniyyah_kazeem/trippilot-actor"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ydvL6Zcs3KgIOvUZG/builds/9jTJ1Nlk9rmpEdLQb/openapi.json