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Skyscanner Data Scraper

skyscanner-scraper
Hotel & Travel
Try For Free

Scraping Intelligence’s Skyscanner scrapers allows you to scrape and gather data from Skyscanners’s flight and hotel search results. Leverage our AI-powered Skyscanner scraper solutions to extract flight numbers, prices, flight schedules, hotel availability, etc. for enhanced travel planning.

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Skyscanner Flight and Hotel Data Extractors

Skyscanner Flight and Hotel Data Extractors helps to gather real-time pricing, availability, and destination information from Skyscanner. This data is highly beneficial for companies, travel agents, and analysts. Without the need for manual searches, these scraping solutions collect structured data on hotels, airlines, and seasonal trends, making market research easier.

skyscanner-flight-and-hotel-data-extractors

Businesses can use this information to monitor competitor rates, find the best offers, improve customer offerings, and optimize price strategies. It is a quick and easy method to get the latest, accurate travel information for better decision-making and service.

Skyscanner Data Fields

flight_number departure_airport rooms_availability departure_time price_per_night check_in_check_out_date ratings_reviews prices

Procedure to use and Try Free Crawlers

The crawlers are 90% ready to go- just with a couple of clicks, and you are copying content with ease.

Step

Initiate Advance Search

Provide destination names, hotel URLs, or flight routes to scrape hotel listings, address, room availability, room types, room prices, Wi-Fi availability, parking availability, star rating and reviews data from Skyscanner platform.

Step

Download Data

Export the extracted data in your preferred file format (CSV, Excel, JSON, HTML, etc.)

Step

Scheduling the crawler

Automate daily/weekly updates for dynamic pricing or set real-time alerts for last-minute deals.

Uses and Benefits of Scraping Skyscanner Data

  • Gather latest hotel and airfare costs to provide precise market data.
  • Monitors demand patterns and seasonal trends in the travel sector.
  • Track competitor prices for optimizing pricing strategies
  • Identifies the trending offers to provide affordable vacation packages.
  • Automates the process of gathering travel data, saving time.
  • Helps make data-driven choices about sales and marketing tactics.
.CSV
JSON
Download Sample Data
#
Hotel Name
Price
Rating
Review Count
Star Rating
Stay Days
Stay Nights
Availability
Address
1
The Plaza Hotel, New York
$1,250
4.8
3,452
5
3
2
12
768 5th Ave, New York, NY 10019
2
Hotel Nikko San Francisco
$980
4.5
2,130
4
5
4
8
222 Mason St, San Francisco, CA 94102
3
Fontainebleau Miami Beach
$890
4.6
4,785
5
2
1
15
4441 Collins Ave, Miami Beach, FL 33140
 
[
    {
        "#": "1",
        "Hotel Name": "The Plaza Hotel, New York",
        "Price": "$1,250",
        "Rating": "4.8",
        "Review Count": "3,452",
        "Star Rating": "5",
        "Stay Days": "3",
        "Stay Nights": "2",
        "Rooms Availability": "12",
        "Address": "768 5th Ave, New York, NY 10019"
    },
    {
        "#": "2",
        "Hotel Name": "Hotel Nikko San Francisco",
        "Price": "$980",
        "Rating": "4.5",
        "Review Count": "2,130",
        "Star Rating": "4",
        "Stay Days": "5",
        "Stay Nights": "4",
        "Rooms Availability": "8",
        "Address": "222 Mason St, San Francisco, CA 94102"
    },
    {
        "#": "3",
        "Hotel Name": "Fontainebleau Miami Beach",
        "Price": "$890",
        "Rating": "4.6",
        "Review Count": "4,785",
        "Star Rating": "5",
        "Stay Days": "2",
        "Stay Nights": "1",
        "Rooms Availability": "15",
        "Address": "4441 Collins Ave, Miami Beach, FL 33140"
    }
]
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