Scraping Intelligence's Flight Price Data Scraper allows businesses and travelers to get real-time flight prices from a number of airline and travel websites. It enables accurate price comparison, market trend analysis, and smarter travel planning with structured flight data.
The Flight Price Data Scraper by Scraping Intelligence is a scraper designed to gather real-time flight information from multiple airlines and travel websites. It lets travel agencies, analysts, and corporations get accurate information about things like airfare, flight schedules, discounts, seat availability, and routes from sites like Expedia, Skyscanner, Kayak, and airline websites. With automated data scraping, users can monitor change in airfares prices, learn about latest pricing trends, and make smart choices about prices and marketing.
This scraper gives you organized, ready-to-use datasets in formats like CSV, JSON, or Excel, so you do not have to collect data manually. Companies can use this information in their systems for things like trip analytics, competitor research, or changing prices. The Flight Price Data Scraper makes sure that you can quickly, reliably, and easily get flight data from both domestic and international routes. With this solution, businesses may get reliable and fast information that helps them make better business decisions and stay ahead in the competitive travel sector.
airline_name
flight_number
departure_arrival_airports
departure_arrival_time
ticket_price
travel_class
duration
booking_url
The crawlers are 90% ready to go- just with a couple of clicks, and you are copying content with ease.
Provide destination station, preferred class, departure date, departure time, or departing airline to scrape one way journey hours, return time, return airline, return journey hours, flight baggage fees and review data from flight booking platform.
Export the extracted data in your preferred file format (CSV, Excel, JSON, HTML, etc.)
Automate daily/weekly updates for dynamic pricing or set real-time alerts for last-minute deals.
Scrape 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
|
Review Count
|
|---|---|---|---|---|---|---|---|---|---|
|
1
|
MIA (Miami)
|
Economy
|
09:15 AM
|
12:30 PM
|
Southwest Airlines
|
3.25
|
$25
|
4.2
|
102
|
|
2
|
SEA (Seattle)
|
Business
|
02:00 PM
|
05:50 PM
|
Alaska Airlines
|
3.83
|
$55
|
4.6
|
198
|
|
3
|
BOS (Boston)
|
Premium Economy
|
06:45 AM
|
09:05 AM
|
JetBlue Airways
|
2.33
|
$35
|
4.4
|
147
|
[
{
"#": "1",
"Destination": "MIA (Miami)",
"Class": "Economy",
"Departure Time": "09:15 AM",
"Arrival Time": "12:30 PM",
"Airline": "Southwest Airlines",
"Journey Hours": "3.25",
"Baggage Fees": "$25",
"Ratings": "4.2",
"Review Count": "102"
},
{
"#": "2",
"Destination": "SEA (Seattle)",
"Class": "Business",
"Departure Time": "02:00 PM",
"Arrival Time": "05:50 PM",
"Airline": "Alaska Airlines",
"Journey Hours": "3.83",
"Baggage Fees": "$55",
"Ratings": "4.6",
"Review Count": "198"
},
{
"#": "3",
"Destination": "BOS (Boston)",
"Class": "Premium Economy",
"Departure Time": "06:45 AM",
"Arrival Time": "09:05 AM",
"Airline": "JetBlue Airways",
"Journey Hours": "2.33",
"Baggage Fees": "$35",
"Ratings": "4.4",
"Review Count": "147"
}
]