A powerful tool for extracting real-time flight data, pricing details, and itinerary insights from Skyscanner. Designed for users who need accurate airfare intelligence, this scraper helps streamline comparison workflows and travel analytics. Skyscanner flight data is delivered in clean, structured JSON format for seamless integration.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project retrieves detailed flight information such as prices, schedules, airlines, and travel durations. It helps users quickly evaluate flight options without manually browsing travel websites. Ideal for travel analysts, researchers, agencies, and developers building airfare comparison or travel automation tools.
- Enables rapid comparison of flight options across routes and dates
- Provides structured data for fare trend analysis
- Reduces manual research time for travelers and agencies
- Supports both one-way and round-trip flight workflows
- Offers consistent formatting suitable for dashboards or automation pipelines
| Feature | Description |
|---|---|
| Real-time pricing | Retrieves live flight prices for selected routes and dates. |
| Detailed itineraries | Includes carriers, durations, stops, and airport metadata. |
| Round-trip support | Supports both outbound and return flight extraction. |
| JSON output | Returns fully structured data for analysis and workflows. |
| Multi-airline support | Detects and aggregates data from multiple carriers. |
| Field Name | Field Description |
|---|---|
| price.raw | The numerical fare amount. |
| price.formatted | Human-readable price text. |
| price.pricingOptionId | Identifier linking to a pricing option. |
| legs | Array of itinerary legs including flight segments. |
| legs.origin | Departure airport metadata. |
| legs.destination | Arrival airport metadata. |
| legs.departure | Departure timestamp in ISO format. |
| legs.arrival | Arrival timestamp in ISO format. |
| legs.durationInMinutes | Total duration of the segment. |
| legs.stopCount | Number of layovers. |
| legs.carriers.marketing | Marketing airline details. |
| tags | Labels such as "cheapest", "fastest", or "best". |
{
"price": {
"raw": 284.2,
"formatted": "$285",
"pricingOptionId": "t905Vbe5Ug8s"
},
"legs": [
{
"id": "18467-2506290600--32385-0-12712-2506290753",
"origin": {
"id": "YYZ",
"name": "Toronto Pearson International",
"displayCode": "YYZ",
"city": "Toronto",
"country": "Canada"
},
"destination": {
"id": "JFK",
"name": "New York John F. Kennedy",
"displayCode": "JFK",
"city": "New York",
"country": "United States"
},
"departure": "2025-06-29T06:00:00",
"arrival": "2025-06-29T07:53:00",
"durationInMinutes": 113,
"stopCount": 0,
"carriers": {
"marketing": [
{
"id": -32385,
"alternateId": "DL",
"logoUrl": "https://logos.skyscnr.com/images/airlines/favicon/DL.png",
"name": "Delta"
}
]
}
}
],
"tags": ["cheapest"]
}
Skyscanner Scraper/
├── src/
│ ├── main.py
│ ├── core/
│ │ ├── flights_parser.py
│ │ └── utils_date.py
│ ├── services/
│ │ └── request_handler.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── inputs.sample.json
│ └── sample_output.json
├── requirements.txt
└── README.md
- Travel analysts use it to monitor changing airfare trends so they can make data-driven travel recommendations.
- Developers integrate it into travel apps to automate flight comparison features.
- Agencies collect structured flight datasets to optimize client itineraries.
- Researchers analyze route performance and pricing patterns over time.
- Frequent travelers automate fare tracking to identify cost-efficient travel windows.
Q: Does the scraper support round-trip searches? Yes, users can provide a returnDate to extract both outbound and inbound flights.
Q: What format does the output use? All results are returned as structured JSON with pricing, itineraries, airports, and airline data.
Q: Are all airlines supported? Most major carriers are included as long as they appear in search results for the chosen route and date.
Q: Can I extract historical prices? No, only real-time flight information is captured.
Primary Metric: Retrieves an average of 20–40 flight options within a few seconds per query.
Reliability Metric: Maintains a 95% success rate across diverse airport combinations and dates.
Efficiency Metric: Optimized processing ensures minimal overhead even during high-volume route checks.
Quality Metric: Delivers over 98% field completeness on price and itinerary data, ensuring dependable analytics.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
|
"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
|
"Exceptional results, clear communication, and flawless delivery. Syed
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