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Skyscanner Web Scraper | Pre-Built, No Code Required | Real-Time API Feed
Skyscanner Web Scraper | Pre-Built, No Code Required | Real-Time API Feed

Skyscanner Web Scraper | Pre-Built, No Code Required | Real-Time API Feed

Our pre-built skyscanner.net scraper tool lets you easily extract data from multiple pages on skyscanner.net without writing any code in just a few minutes.

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Our pre-built skyscanner.net scraper tool lets you easily extract data from multiple pages on skyscanner.net without writing any code in just a few minutes.

Skyscanner Flight Scraper

Skyscanner Data Extractor | Elevate Your Travel Insights

Dive into the world of comprehensive travel data with our specialized Skyscanner Data Extractor. Seamlessly access real-time information from Skyscanner's extensive listings, reviews, and more, covering a diverse spectrum of accommodations globally. Whether you seek luxury hotels or budget-friendly hostels, our Skyscanner Data Extractor offers the following key features:

 

Key Features:

  • Real-Time Global Data Access: Effortlessly retrieve the latest information, gaining real-time insights into Skyscanner listings, reviews, and more.

  • Anti-Bot System Compatibility: Glide through sophisticated anti-bot systems, ensuring a secure and efficient scraping experience.

  • Anonymity and Security: Operate within a secure and anonymous environment, thanks to our robust infrastructure supported by top-tier proxies.

 

How It Operates:

  1. Payload Construction: Craft a payload by integrating job parameters and the Skyscanner website URL.

  2. Request Transmission: Send the payload to our API, obtaining outcomes in structured JSON format.

 

What You Can Extract:

Unlock a wealth of public data points, including:

  • Flight Information: Destination, departure and arrival times, airline, flight number, ticket prices.

  • Hotel Details: Accommodation specifics, pricing, reviews, and more.

  • Car Rental Info: Company, type of car, rental location.

  • User Reviews: Understand customer experiences and sentiments.

  • Travel Deals and More: Extract valuable information to optimize your research, marketing, and decision-making processes.

 

Infrastructure:

  • Anonymity and Security: Ensure effective scraping of Skyscanner search pages with our commitment to anonymity and security.

  • AI-Powered System: Allow our AI system to handle complexities, empowering your application to collect all the necessary data for business success.

 

How to Scrape Data from Skyscanner:

  1. Construct Payload: Create a payload incorporating job parameters and the Skyscanner website URL.

  2. Transmit Request: Send the payload to our API, obtaining outcomes in structured JSON data format.

 

Skyscanner Data Extractor Use Cases:

  • Pricing and Details: Scrape Skyscanner for flight pricing and details.

  • Price Comparison: Conduct price comparisons on Skyscanner.

  • Hotels & Rental Cars Data: Collect data and reviews on hotels & rental cars.

  • Brand Sentiment: Obtain Skyscanner Pages data for brand sentiment.

 

Sample Output Data

{
  "status": "OK",
  "data": [
    {
      "flight_number": "SKY123",
      "departure_airport": "JFK",
      "arrival_airport": "LAX",
      "departure_date": "2024-01-15",
      "departure_time": "08:00 AM",
      "arrival_date": "2024-01-15",
      "arrival_time": "11:30 AM",
      "price": 250.00,
      "currency": "USD",
      "fare_family": "Economy",
      "available_seats": 50,
      "layover_airport": "",
      "layover_duration": "",
      "flight_duration": "3h 30m"
    },
    {
      "flight_number": "SKY456",
      "departure_airport": "LAX",
      "arrival_airport": "ATL",
      "departure_date": "2024-01-15",
      "departure_time": "01:00 PM",
      "arrival_date": "2024-01-15",
      "arrival_time": "05:30 PM",
      "price": 300.50,
      "currency": "USD",
      "fare_family": "Business",
      "available_seats": 20,
      "layover_airport": "DFW",
      "layover_duration": "1h 30m",
      "flight_duration": "4h 30m"
    },
    {
      "flight_number": "SKY789",
      "departure_airport": "ATL",
      "arrival_airport": "ORD",
      "departure_date": "2024-01-15",
      "departure_time": "07:00 PM",
      "arrival_date": "2024-01-15",
      "arrival_time": "09:30 PM",
      "price": 180.75,
      "currency": "USD",
      "fare_family": "Economy",
      "available_seats": 35,
      "layover_airport": "",
      "layover_duration": "",
      "flight_duration": "2h 30m"
    }
  ]
}

What does the output data look like?

This data will consist of more than 6 lines which each one will represent a single (unique) page's information such as its price, availability, stock, image urls, technical details and etc from skyscanner.net. Right now test data is not ready but in a few days it will be listed here.

Sample data for Skyscanner Flight Scraper
Modified
4 months, 1 week ago
Last test
--
Used
0 time(s)
Used by
0 user(s)
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Benefits
  • No programming required: Get data like an expert without any coding knowledge
  • Runs on the cloud: No need to download any software or extensions
  • ​On-demand support: We are ready to help or make changes to the scrapers as required
  • ​Extract data on a schedule: Automate your Amazon extractor to run weekly, daily and even hourly
  • ​No Maintenance: We monitor and resolve any issues relating to website structure changes and blocking from website

Requirements

To be able to use skyscanner flight scraper, your account must have the requirements below. If you satisfy the conditions the data output of your scraper will be one click away.

At least basic subscription plan.
At least 1$ credit in the balance
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