Fliggytravel Discovery Scraper

The Fliggytravel Discovery Scraper is a powerful tool designed to extract comprehensive flight information from Fliggytravel. This actor enables users to gather detailed data on flight solutions, making it an essential resource for travel planning, market analysis, and competitive intelligence.

Features

• Comprehensive Flight Data: Extracts detailed information about flights, including prices, flight times, and airline details.
• Customizable Searches: Input parameters allow for tailored searches based on departure and arrival cities, dates, and more.
• High Data Quality: Ensures accurate and up-to-date flight information.
• Scalable Solutions: Capable of handling large volumes of data with customizable limits.
• User-Friendly Interface: Easy to configure and run with minimal setup required.
• Automated Data Collection: Streamlines the process of gathering flight data, saving time and effort.
• Versatile Output Formats: Export data in JSON, CSV, or Excel formats for further analysis.

Input Parameters

Parameter	Type	Required	Description	Example
leaving_from	String	Yes	Departure city keyword (e.g. 'ktm', 'New York', 'NYC')	"ktm"
going_to	String	Yes	Arrival city keyword (e.g. 'qatar', 'Los Angeles', 'LAX')	"qatar"
leaving_date	String	Yes	Departure date in YYYY-MM-DD format	"2026-05-29"
back_date	String	Yes	Return date in YYYY-MM-DD format	"2026-06-01"
maxItems	Integer	No	Maximum number of flight solutions to collect (0 = unlimited)	100

Example Usage

Example Input

{
  "leaving_from": "ktm",
  "going_to": "qatar",
  "leaving_date": "2026-05-29",
  "back_date": "2026-06-01",
  "maxItems": 100
}

Example Output

[
  {
    "solutionId": "eJxNjEtrw0AMhH%2FMQm42mllpH8eSGlrS0kAT3Fy8NMU5hd5684%2FvZg0hCPT4NDMIDPMcJXucg%2BmckAVni%2FqT6QP9xYpN0u0O793zx0tHYRBj3jy9EmnFw9sdQ1WW%2BmLyjT9aCNqEhm62hoNg0%2BTa%2BD2q8lpr1Jr0aCHMJkI8kv9GjDkFRaTCQOpcH%2BZ89j1YqNKrLozsUaSX5ffvei235updxI1lXIZyct6NR56%2BPneHMhy5H%2Bvimqy1fc5ui3W%2FtPEPD2VOGA%3D%3D_9",
    "price": "634",
    "currencySymbol": "$",
    "remainSeats": "9",
    "journeys": [
      {
        "type": "Depart",
        "depCityCode": "KTM",
        "depCityName": "Kathmandu",
        "arrCityCode": "DOH",
        "arrCityName": "Doha",
        "depTimeStr": "2026-05-29 14:40:00",
        "arrTimeStr": "2026-05-30 00:05:00",
        "depArrTimeDesc": "Fri, May 29, 02:40PM - 12:05AM",
        "flightTime": "12h 10m",
        "segments": [
          {
            "airlineName": "Air India",
            "airlineCode": "AI",
            "flightNo": "AI218",
            "depAirportName": "Kathmandu Tribhuvan International Airport",
            "arrAirportName": "Indira Gandhi Intl Airport",
            "depAirportCode": "KTM",
            "arrAirportCode": "DEL",
            "depTime": "02:40",
            "arrTime": "04:20",
            "depDate": "May 29",
            "arrDate": "May 29",
            "flightTime": "1h 55m",
            "depTerm": "I",
            "arrTerm": "T3",
            "equipType": "Narrow Body Aircraft 320"
          },
          {
            "airlineName": "Air India",
            "airlineCode": "AI",
            "flightNo": "AI2283",
            "depAirportName": "Indira Gandhi Intl Airport",
            "arrAirportName": "Hamad International Airport",
            "depAirportCode": "DEL",
            "arrAirportCode": "DOH",
            "depTime": "09:25",
            "arrTime": "12:05",
            "depDate": "May 29",
            "arrDate": "May 30",
            "flightTime": "5h 10m",
            "depTerm": "T3",
            "arrTerm": "",
            "equipType": "Narrow Body Aircraft 32N"
          }
        ]
      }
    ],
    "scrapedAt": "2026-05-27T06:42:54.276Z"
  }
]

Use Cases

• Market Research and Analysis: Gather data for understanding market trends and consumer preferences.
• Competitive Intelligence: Monitor competitor pricing and offerings.
• Price Monitoring: Track flight prices for cost-effective travel planning.
• Content Aggregation: Compile flight data for travel blogs or websites.
• Academic Research: Analyze travel patterns and trends.
• Business Automation: Automate the collection of flight data for business processes.

Installation and Usage

1. Search for "Fliggytravel Discovery Scraper" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

Output Format

The output is a JSON array containing objects with the following fields:

• solutionId: Unique identifier for the flight solution.
• price: Cost of the flight.
• currencySymbol: Currency of the price.
• remainSeats: Number of remaining seats.
• journeys: Array of journey details including departure and arrival information, flight times, and segments.
• scrapedAt: Timestamp of when the data was scraped.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact/

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