The Cruisemapper Cruises Scraper extracts detailed cruise data, including ship names, itineraries, departure dates, prices, and more. Receive structured data in JSON, CSV, or Excel formats for travel planning, market research, or integration into applications.
The Cruisemapper Cruises Scraper is a powerful tool designed to extract detailed cruise data from Cruisemapper. It collects essential information such as ship names, itineraries, departure dates, prices, and more, delivering structured output in JSON, CSV, or Excel formats. Ideal for travel planning, market research, or integration into applications.
The actor accepts the following input parameters:
Parameter | Type | Description | Required | Default |
---|---|---|---|---|
start_date | string | The start date for the cruises to scrape (format: YYYY-MM-DD ). Must match the regex. | Yes | 2025-01-01 |
end_date | string | The end date for the cruises to scrape (format: YYYY-MM-DD ). Must match the regex. | Yes | 2025-01-31 |
cruise_length | string | Filter by cruise length. | No | 0 |
ship_name | string | Filter by ship name. | No | |
cruise_line | string | Filter by cruise line. | No | |
departure_port | string | Filter by departure port. | No | |
destination | string | Filter by destination. | No | 0 |
ship_type | string | Filter by ship type. | No | 0 |
port_of_call | string | Preferable port of call / country. | No | |
max_number_of_pages | integer | Maximum number of pages to scrape. Use -1 to scrape all available pages. | No | -1 |
Below is an example of the structured data produced by the actor:
1{ 2 "id": "3104881", 3 "ship_name": "MS Deutschland-World Odyssey", 4 "cruise_date": "2023 Sep 09", 5 "cruise_title": "104 days, one-way from Amsterdam to Tokyo", 6 "cruise_price": "", 7 "cruise_line": "Phoenix Reisen Cruises cruise line", 8 "stop_1_date": "09 Sep 20:00", 9 "stop_1_text": "Departing from Amsterdam, Netherlands North Holland", 10 "stop_2_date": "17 Sep 08:00 - 13 Apr 20:00", 11 "stop_2_text": "Barcelona, Spain", 12 "stop_3_date": "27 Sep 08:00 - 30 Sep 20:00", 13 "stop_3_text": "Piraeus-Athens, Greece", 14 "stop_4_date": "05 Oct 08:00 - 08 Oct 20:00", 15 "stop_4_text": "Aqaba, Petra, Jordan" 16}
Set Up the Actor:
Provide Input Parameters:
start_date
: The start date for the cruises in DD-MMM-YYYY
format (e.g., 01-Jan-2016
).end_date
: The end date for the cruises in DD-MMM-YYYY
format (e.g., 24-Nov-2024
).max_number_of_pages
: The maximum number of pages to scrape (-1
for all pages).Run the Actor:
View Results:
For assistance or feature requests, you can:
✨ Looking for something else? Check out more actors on Apify that can help with your web automation and data extraction needs. Discover a wide range of tools tailored for different scenarios at 🌐 Explore Vulnv's Actors on Apify.
📧 For inquiries or support, feel free to reach out to us at apify@vulnv.com.
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!