Airport Lookup Scraper helps you quickly find accurate airport details using common identifiers like IATA and ICAO codes, names, locations, or timezones. It solves the problem of fragmented airport data by offering a simple, unified lookup tool that returns clean, structured results suitable for applications and analysis.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project provides a streamlined way to search and retrieve airport metadata from a structured dataset. It’s designed for developers, analysts, and product teams who need reliable airport information without manual lookups.
- Centralizes airport identification using globally recognized codes and attributes
- Reduces ambiguity when working with partial names or locations
- Supports flexible queries without requiring all fields
- Returns predictable, machine-friendly output
| Feature | Description |
|---|---|
| IATA & ICAO search | Find airports using standard 3-letter and 4-letter codes. |
| Name-based lookup | Supports full or partial airport name matching. |
| Location filtering | Search by city, state, or country keywords. |
| Timezone retrieval | Returns airport timezone when available. |
| Multi-parameter matching | Combines filters to narrow down precise results. |
| Field Name | Field Description |
|---|---|
| iata | Official 3-letter IATA airport code. |
| icao | Official 4-letter ICAO airport code. |
| name | Full airport name. |
| location | City, region, and country where the airport is located. |
| timezone | Timezone associated with the airport, if available. |
[
{
"iata": "JFK",
"icao": "KJFK",
"name": "John F. Kennedy International Airport",
"location": "New York City, New York, United States",
"timezone": "UTC-05:00"
}
]
Airport Lookup Scraper/
├── src/
│ ├── main.py
│ ├── search/
│ │ ├── matcher.py
│ │ └── filters.py
│ ├── utils/
│ │ └── validators.py
│ └── config/
│ └── schema.json
├── data/
│ ├── sample_input.json
│ └── sample_output.json
├── requirements.txt
└── README.md
- Travel app developers use it to resolve airport codes and names, so they can improve flight search accuracy.
- Logistics teams use it to validate routing data, so cargo planning remains consistent and error-free.
- Data analysts use it to enrich datasets, so geographic and time-based analysis becomes easier.
- Location-based services use it to identify nearby airports, so user recommendations are more relevant.
Can I search using more than one parameter at a time? Yes. You can combine multiple fields such as name and location. Results will match all provided parameters for higher accuracy.
What happens if a field is left empty? Empty fields are ignored automatically, allowing flexible and partial searches without errors.
Is timezone data always available? Not always. Some airports may not have timezone information, in which case the field will be empty.
What does an empty result mean? It simply means no airports matched your search criteria. The output will be an empty array.
Primary Metric: Average lookup completes within 50–80 milliseconds per query on standard datasets.
Reliability Metric: Consistently returns valid structured results with a success rate above 99%.
Efficiency Metric: Handles multi-parameter filtering with minimal memory overhead, suitable for batch queries.
Quality Metric: High data completeness for major and regional airports, with precise code-to-name matching.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
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"Exceptional results, clear communication, and flawless delivery. Syed
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