# AIDA Scraper - Complete Cruise Data Extractor (`sercul/aida-cruise-scraper`) Actor

AIDA Cruises pricing API - per-cabin EUR pricing for the full 11-ship fleet across 25 departure ports. Sailings, day-by-day itineraries & direct booking links. For travel agencies, comparison sites & affiliates.
✅ Residential proxy support.

- **URL**: https://apify.com/sercul/aida-cruise-scraper.md
- **Developed by:** [Jeremy G](https://apify.com/sercul) (community)
- **Categories:** Travel, Other
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 results

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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## AIDA Cruises Scraper

Extracts cruise listings and per-cabin pricing from AIDA Cruises for the German market — one record
per departure, with itinerary, ports, ship, and pricing across every cabin tier.

### Supported Markets

| Region | Currency |
|--------|----------|
| `de_DE` | EUR |

### Input

| Parameter | Type | Description | Default |
|-----------|------|-------------|---------|
| region\* | string | Market to scrape | `de_DE` |
| maxRows | number | Maximum sailings to return | 8000 |
| maxPages | number | Maximum catalog pages to sweep | 40 |
| enrichDetails | boolean | Fetch the full per-cabin price matrix. Turn **off** for a fast, low-cost catalog-only run that returns the single lowest ("from") price per sailing. | true |
| detailConcurrency | number | Parallel per-sailing price lookups (used only when `enrichDetails` is on) | 8 |
| maxRequestRetries | number | Retries for failed requests | 4 |
| requestHandlerTimeoutSecs | number | Request timeout (seconds) | 60 |
| requestDelayMs | number | Delay between request batches | 150 |
| useApifyProxy | boolean | Use Apify Residential proxy | true |
| apifyProxyCountryCode | string | Proxy country | DE |
| apifyProxyGroups | string | Proxy group tier | RESIDENTIAL |
| proxyUrl | string | Custom residential proxy URL | — |

**Proxy:** a **residential** proxy is required — enable `useApifyProxy` (with `RESIDENTIAL`), or
supply a residential `proxyUrl`.

### Output

Each result includes:

- Cruise and itinerary identifiers
- Ship name, departure/arrival ports, sailing dates, duration
- Lowest available "from" price (per person, EUR)
- Ports of call with day numbers
- Per-cabin pricing — Interior, Ocean View, Balcony, Veranda, Junior Suite, Suite — when
  `enrichDetails` is on (sailings with sold-out cabins report only the tiers still available)
- Direct booking URL per sailing

Results stream to the dataset as they are collected, so partial results are available even if a run
is stopped early.

### Usage

```json
{
  "region": "de_DE",
  "maxRows": 2000,
  "enrichDetails": true,
  "useApifyProxy": true,
  "apifyProxyCountryCode": "DE"
}
```

# Actor input Schema

## `region` (type: `string`):

Market/locale to scrape

## `useApifyProxy` (type: `boolean`):

Use Apify Proxy (RESIDENTIAL). AIDA is Akamai-fronted and blocks datacenter IPs, so a residential proxy is required.

## `apifyProxyCountryCode` (type: `string`):

Two-letter country to pin the residential proxy.

## `apifyProxyGroups` (type: `string`):

Proxy group tier (defaults to RESIDENTIAL).

## `proxyUrl` (type: `string`):

Alternative to Apify Proxy — a residential proxy URL (e.g. Bright Data residential). Use only if useApifyProxy is false. Format: http\[s]://user:pass@host:port

## `maxRows` (type: `integer`):

Maximum number of sailing results to fetch

## `maxPages` (type: `integer`):

Max search.cruise.json pages to sweep (catalog is ~26 pages)

## `enrichDetails` (type: `boolean`):

Fetch per-sailing detail for the full per-cabin price matrix (Interior/Oceanview/Balcony/Suite). Turn OFF for a fast, cheap catalog-only run (headline from-prices only) — the bulk of requests/cost is this step.

## `detailConcurrency` (type: `integer`):

Parallel per-sailing detail requests (only used when enrichDetails is on). Each request rotates to a fresh residential IP.

## `maxRequestRetries` (type: `integer`):

Maximum number of retries for failed requests

## `requestHandlerTimeoutSecs` (type: `integer`):

Timeout for each Web Unlocker request in seconds

## `requestDelayMs` (type: `integer`):

Delay between request batches to pace throughput

## Actor input object example

```json
{
  "region": "de_DE",
  "useApifyProxy": true,
  "apifyProxyCountryCode": "DE",
  "maxRows": 8000,
  "maxPages": 40,
  "enrichDetails": true,
  "detailConcurrency": 8,
  "maxRequestRetries": 4,
  "requestHandlerTimeoutSecs": 60,
  "requestDelayMs": 150
}
```

# 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("sercul/aida-cruise-scraper").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("sercul/aida-cruise-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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 sercul/aida-cruise-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=sercul/aida-cruise-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/02o6pEFGeDbep7KV8/builds/IiBQsHpTE034d5OEz/openapi.json