CompanyRemote

Worldwide Flight Dataset

Deadline: 2026-04-07
Project-Based

Description

Budget: €50 - €100

I’m sourcing a complete, clean CSV covering commercial flights that operated anywhere in the world during March 2026 or April 2026. Focus of the data lies on Europe, Asia and North America.

For each leg I need these mandatory columns in the file: • Departure Time (local and UTC) • Arrival Time (same time standard as departure)

If you also have the aircraft type, include it as an extra column; it’s optional.

The file must represent the full calendar month—no gaps, charter or cargo flights excluded. A short excerpt (one day or one airport) will be required first as a sample so I can confirm structure and data accuracy before we proceed with the entire month.

Preferred characteristics • Delivered as a single CSV, UTF-8 encoded, easy to ingest with Python or Excel • Consistent field naming and date-time formatting (ISO-8601 or clearly documented) • No duplicate rows, and airports identified by IATA codes

Acceptance criteria

  1. Sample passes spot-checks against public trackers.
  2. Final CSV includes all days 1-31 March 2026, meeting the column requirements above.
  3. File size and delivery method agreed in advance (direct download link, cloud folder, or ZIP attachment).
  4. Ability to deliver on a monthly subscription base

If you can provide only a subset, communicate this in your offer.

I can provide schedules to you as attached. They come from another provider (not OAG or Cirium). The data from our provider does not contain historic data, only schedules, but we can give you the schedules from the past.

I want to understand where your data is coming from and how you want to deliver it. Please do not apply if you don't know what OAG, Cirium, etc is.

Let me know what existing datasets or feeds you have access to, any licensing constraints, and the estimated turnaround time once we green-light the project.

Skills

Data ProcessingData AnalysisData CollectionData ManagementPythonData ScrapingExcelWeb Scraping

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