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Expedia Data Scraper

expedia-data-scraper
Hotel & Travel

Scraping Intelligence provides Expedia Hotel and Flight Price Data Scraper to extract Hotel and Flight Price Data from the Expedia website. Contact us for the best Expedia data scraping services.

Expedia-logo

Expedia Data Extractor – Best Way to Scrape Date from Expedia

Expedia Data Extractor enables you to extract all types of Hotel, Flight, and Villa data from the Expedia Website to different business houses and individuals.

Expedia

Expedia Scraper Data Feed Includes


the_original_station destination_station departure_date return_date preferred_class departure_time departing_airline departing_flight_no one_way_journey_hours stoppage_for_departing_flight departing_flight_baggage_fees return_time return_airline return_flight_no return_journey_hours stoppage_for_the_return_flight returning_flight_baggage_fees hotel_name hotel_location hotel_amenities hotel_star_rating hotel_reviews

Procedure to use and Try Free Crawlers

The crawlers are 90% ready to work. With a few clicks, it becomes as easy as copying and pasting the content.

Step

Initiate Advance Search

Provide destination station, preferred class, departure date, departure time, or departing airline to scrape hotel name, hotel location, hotel amenities, hotel star rating and review data from Expedia 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.

Data Extraction using Expedia Data Scraper

Travel aggregation sites rely on online traveling agencies, and hotel & flight, Villa- company sites to pull data for different user queries. All the travel aggregation sites like expedia.com help various users to have a complete picture of the accessibility as well as rates across various vendors without visiting the sites. All these users need to do is enter the trip dates as well as these sites would provide them the combined data from various sources. Our team of well-trained professionals understands scraping data from Expedia and provides the same in the preferred format.

Benefits of Expedia Scraping tool

Our specialists have provided Expedia Hotel and Flight, Vila Data Scraping Services to various individuals as well as business houses. We help you in completing your business goals by offering best Expedia Scraping tool.

  • Expedia data scrapers have been designed to extract any travel data from Expedia.
  • Within minutes you can get a plethora of seller information at your disposal.
  • Our Expedia web scrapers is completely free to try!
  • Avail the benefits to a wide range of data.
  • Our Expedia API will automatically retry on its own if the first hit fails

How will the Output Data look Like?

Extract data can be populated in various forms such as Excel spreadsheets, CSV, MySQL, MS-Access, XML, MSSQL, Text & HTML Files.

#
Destination
Class
Departure
Arrival
Airline
Journey Hours
Baggage Fees
Ratings
Reviews
1
LAX (Los Angeles)
Economy
08:45 AM
01:10 PM
American Airlines
4.5
$30
4.3
128
2
JFK (New York)
Business
01:20 PM
04:20 PM
Delta Air Lines
3.0
$50
4.8
256
3
ORD (Chicago)
Premium Economy
05:10 PM
07:40 PM
United Airlines
2.5
$40
4.1
95
[
    {
        "#": "1",
        "Destination": "LAX (Los Angeles)",
        "Class": "Economy",
        "Departure Time": "08:45 AM",
        "Arrival Time": "01:10 PM",
        "Airline": "American Airlines",
        "Journey Hours": "4.5",
        "Baggage Fees": "$30",
        "Ratings": "4.3",
        "Review Count": "128"
    },
    {
        "#": "2",
        "Destination": "JFK (New York)",
        "Class": "Business",
        "Departure Time": "01:20 PM",
        "Arrival Time": "04:20 PM",
        "Airline": "Delta Air Lines",
        "Journey Hours": "3.0",
        "Baggage Fees": "$50",
        "Ratings": "4.8",
        "Review Count": "256"
    },
    {
        "#": "3",
        "Destination": "ORD (Chicago)",
        "Class": "Premium Economy",
        "Departure Time": "05:10 PM",
        "Arrival Time": "07:40 PM",
        "Airline": "United Airlines",
        "Journey Hours": "2.5",
        "Baggage Fees": "$40",
        "Ratings": "4.1",
        "Review Count": "95"
    }
]