Worldwide Flight Dataset

@safiqulislam67

Hello, I’m a data specialist experienced in working with structured aviation datasets and large-scale CSV delivery. I’m familiar with industry sources such as OAG and Cirium, and I understand the importance of complete, gap-free schedules with consistent formatting. I can provide a clean, UTF-8 CSV covering March/April 2026 flights with all required fields (flight number, terminals, local/UTC times, IATA codes), plus optional aircraft type where available. I can first deliver a validated sample (e.g., one day or airport) for your review. Profile: https://www.freelancer.com/u/safiqulislam67 Ready for ongoing monthly delivery. Best regards, Safiqul Islam

@daniyal3214

With the ever-growing significance of data analysis, technology such as Excel has emerged as an incredible tool to make sense of vast amounts of information. With my in-depth proficiency in Excel, I can guarantee the perfect dataset to suit your needs. Having spent years assisting clients from diverse sectors in the areas of Data Analytics and Financial Planning & Analysis, I've provided accurate and actionable insights tailored to their requirements. Furthermore, my financial background enables me to fully comprehend the gravity of precise data across a plethora of industries. The flight data you're looking for will be analyzed and organized through Excel with utmost care, ensuring consistent field naming and date-time formatting - a necessary element to ensure ease of use when employing it with Python or Excel. Aside from my technical skills, I understand the importance of meeting tight deadlines while maintaining error-free work. Therefore, you can trust me to deliver your entire month's dataset by March 31st latest. To ensure transparency and meet acceptance criteria effectively, I will present a one-day or one-airport sample for your verification before proceeding with the complete month's data. I look forward to sharing more about my existing datasets or feeds and discussing further details about your project soon!

@salmaakternisa

Hi, I can deliver a clean, structured CSV covering global commercial flights for March/April 2026, with full required fields and consistent ISO-8601 formatting, ensuring no duplicates and accurate IATA mapping. I’ll first provide a verified sample (1 day/airport) for your review against public trackers before proceeding with the full dataset. Data will be sourced, validated, and cleaned to meet your acceptance criteria, with optional aircraft type included where available. Ready to start immediately and can support ongoing monthly delivery—timeline and access details can be finalized upon approval.

@onlinejob247

I'm MD Moiuddin, your dedicated virtual assistant who can build bridges between your data requirements and the world of clean, organized, and reliable data. With fifteen years of industry experience, I've developed a thorough understanding of extracting, processing and managing datasets that align with your exact specifications. I'm highly skilled in Python and Web Scraping, making me an ideal choice to create a dataset that meets your needs. Having expertise in web scraping automation, I will ensure that the dataset you receive is consistent, accurate, and comprehensive. My familiarity with tools like BeautifulSoup, Scrapy, and Selenium guarantees a smooth scraping process regardless of the complexities often encountered such as dynamic or protected websites. Your project for a complete worldwide flight dataset is right up my alley. In fact, over my career I have worked on many similar projects where nothing but perfection suffices – which directly aligns with your project expectations such as full calendar coverage without gaps, consistent field naming standards (ISO-8601) and no duplicate records. For your spot-checks against public trackers requirement – I understand how critical this aspect is - using authenticated sources like OAG or Cirium is already part of my process to ensure accurate sample data for approval before proceeding with the full month's dataset.

@shivansh121

I am interested to work on this project. Can we discuss here? I am available here to start. Looking forward to an early and positive response. Regards, Shalu

@DedicatedVA

We specialize in compiling comprehensive flight datasets and can deliver a full CSV of commercial flights for March or April 2026, covering Europe, Asia, and North America, exactly as specified. We understand that access to proprietary tools like OAG, Cirium, or Flightradar is restricted, and we have scalable methods to obtain flight schedule data from freely available sources, including airline schedules, airport publications, and public trackers. Our CSV will include all mandatory columns—Flight Number, Departure & Arrival Times (local and UTC), Terminals—and can optionally include aircraft type. Each record will be de-duplicated, IATA-coded, and formatted consistently (ISO-8601). We propose delivering a one-day or single-airport sample first so you can verify structure and accuracy before proceeding with the full month. Once approved, we can provide the complete month as a single UTF-8 CSV, ready for Python or Excel ingestion. Could you confirm if you would like the sample for March 1st or a key hub airport so we can prepare it immediately for your review?

@zafarfarooq612

Hello, I have access to comprehensive global flight data feeds and can deliver a clean, complete CSV covering March 2026 or April 2026 with full coverage across Europe, Asia, and North America—excluding charter and cargo flights. Each flight leg will include flight number, departure time (local and UTC), arrival time (local and UTC), departure terminal, arrival terminal, and optionally aircraft type, all with IATA codes and ISO-8601 timestamps for easy ingestion. I will provide a one-day or one-airport sample first for verification, then deliver the full month within 3–5 business days once approved. I can also support monthly subscriptions. Let me know if you would like to proceed with the sample. Regards, Zafar

@webmasters486

Hey, I’ve reviewed your project and understand you’re looking for a complete, structured CSV of commercial flights for March and April 2026, with full coverage of Europe, Asia, and North America. The focus is on scheduled passenger flights, including mandatory columns like flight number, departure/arrival times (local and UTC), terminals, and optionally aircraft type, delivered in a clean, UTF-8 CSV ready for Python or Excel ingestion. I can help organize and validate the data from your schedules, create a sample extract for approval, and then produce the full monthly CSVs with consistent formatting, no duplicates, and proper IATA coding. The final deliverables can be packaged in a ZIP or cloud folder, and I can provide guidance on maintaining this on a recurring, subscription-like basis. All work will document data sources and any licensing constraints to ensure transparency and compliance. You’ll receive fully vetted, ready-to-use CSVs with accurate date coverage and clear formatting, along with a sample for verification before completing the full month. This ensures reliable data for analysis, tracking, or integration into your workflow. Best regards, Muhammad Adil Portfolio: https://www.freelancer.com/u/webmasters486

@mattafareed4848

Hello I can provide a complete, clean CSV of commercial flights for March and April 2026, covering Europe, Asia, and North America, including all mandatory columns (Flight Number, Departure/Arrival Time, Terminals) and optional aircraft type. I’ll deliver a short one-day sample first for your review, then the full month in a UTF-8 CSV with consistent formatting, no duplicates, and IATA-coded airports. Regards Muhammad

@GdevDataSceince

Hi there, I am a Data Scientist I am pleased to submit my bid for your data analysis project. With strong expertise in statistical modeling, data mining, and visualization, I will transform raw datasets into actionable insights to support informed decision-making. Using advanced tools such as Python, R, Power BI, and Excel, I will ensure accurate analysis, clear reporting, and interactive dashboards tailored to your business needs. My approach focuses on data cleaning, trend identification, predictive analysis, and delivering concise summaries that highlight key findings. I am committed to providing high-quality, timely results that add measurable value and help optimize your strategies for growth and efficiency. Let's discuss this further via chat, and I'll start your project right now. Thank you. Gdev

@maximg10

⭐Hi, I’m ready to assist you right away!⭐ I believe I’d be a great fit for your project since my expertise in data scraping, data management, web scraping, and data processing aligns perfectly with your requirements. With a focus on Europe, Asia, and North America, I can deliver a clean and complete CSV dataset covering commercial flights for March 2026 and April 2026. This dataset will include essential columns such as Flight Number, Departure Time, Arrival Time, Departure Terminal, and Arrival Terminal. Optional data on aircraft type can also be provided. My experience in data collection and Python will ensure consistent field naming, ISO-8601 date-time formatting, and no duplicate rows. By using IATA codes, airports will be easily identifiable. This project aims to provide you with a monthly subscription service for the dataset. By leveraging my skills in data analysis and Excel, I will ensure the dataset meets your acceptance criteria. I am confident in delivering a sample for your approval before proceeding with the full dataset. Let's discuss the existing datasets or feeds available, any licensing constraints, and the estimated turnaround time post-approval. If you have any questions, would like to discuss the project in more detail, or would like to know how I can help, we can schedule a meeting. Thank you. Maxim

@blackrockwise

Hi there, I like how you have outlined your project description with clear requirements and quality standards. You need a comprehensive, clean CSV dataset of commercial flights worldwide during March or April 2026, focused on Europe, Asia, and North America. The dataset must include flight numbers, departure and arrival times with local and UTC details, terminal information, and optionally aircraft type—all well formatted and duplicate-free. I have extensive experience sourcing and compiling large-scale global flight data and converting it into easily usable formats such as UTF-8 CSVs compatible with Python and Excel. I can provide you a complete monthly dataset matching your exact column and formatting specifications. Importantly, I can deliver a sample excerpt first to confirm data accuracy before proceeding with the full month. I have access to reliable aviation data feeds updated regularly with detailed and licensed datasets. I understand the importance of file size, delivery method, and meeting your criteria including monthly subscription capability. I estimate delivering the initial sample within 5 days and the full monthly dataset by 14 days. Let’s discuss your preferences on delivery and feed sources to ensure everything fits your needs perfectly. Looking forward to collaborating and providing a flawless, ready-to-use flight dataset for your project.

@Muhammadzeesha59

As a seasoned Senior Full Stack Developer, specializing in Data Analysis and Data Processing, I am well-prepared and experienced to take on your ambitious project! Over the course of my 6+ year career, I have honed my skills in Python and Web Scraping, both of which are valuable tools for creating clean CSV datasets. More importantly, my affinity working with large data sets has made me proficient in maintaining consistent field naming and ensuring all dates adhere to ISO-8601 formatting guidelines - important aspects you've emphasized. Furthermore, I understand the importance of accuracy and efficiency in data collection and processing. With my extensive skillset, I am confident that I can deliver top-notch quality while minimizing your turnaround time. As an added bonus, I'd be able to utilize my strong understanding of databases and SQL to ensure no duplicate rows are recorded while correctly identifying airports by their IATA codes. Finally, concerning accessibility, I'd be providing you the complete CSV file encoded in UTF-8, modified as per your preference. Also worth mentioning is my ability to deliver on a monthly subscription base; this offers flexibility if you need subsets in the future. Given your high standards for quality and my commitment to delivering only that alongside fast service within a reasonable budget. Embark upon this journey with me.

@asadamyn

Hi, I have solid experience working with aviation datasets, APIs, and large scale data pipelines, and I understand this requires structured access to premium sources like OAG or Cirium, not scraping. I will use reliable schedule and flight status feeds and reconcile the data to ensure full month coverage with no gaps. Terminal data will be validated with fallback logic to maximize completeness. You will get: ✅ Clean CSV in UTF 8 format ✅ ISO 8601 datetime with both local and UTC ✅ No duplicates with consistent schema ✅ IATA airport codes ✅ Aircraft type included where available I will first deliver a sample for one day or one airport for validation against public trackers. Once approved, I will generate the full dataset for March or April 2026. This can also be turned into a monthly automated pipeline using Python for cleaning, validation, and delivery via cloud or compressed files. ✅Sample in 24 to 48 hours ✅Full dataset in 3 to 5 days after approval depending on source access I can handle everything from sourcing to delivery and automation.

@muneeb6767

I can deliver full-month global flight data (Mar/Apr 2026) via licensed feeds like OAG/Cirium—clean CSV, ISO timestamps, no duplicates, with sample for validation first. Data pipeline ensures coverage, filtering (no cargo/charter), and consistent schema ready for Python/Excel ingestion.

@alaminforayaji

Hi, I am expert in web search data collection. I have more than 10 years experience in this skill. I can do this Worldwide Flight Data collection project 100% accuracy. I am ready to start. Thank you.

@emilesd617

Hi, I am a data developer with 8 years of rich experience with a background in large-scale data collection and processing. I am familiar with Python, data scraping, CSV processing, flight data normalization, and Excel. For this project, the most important part is building a complete and clean monthly dataset with consistent time fields and no duplicate rows. I can collect and structure the flight data, validate the sample first against public sources, and deliver a clean UTF-8 CSV that is easy to use in Python or Excel. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@besho87

Hello, I’d be happy to support this project. I have strong experience with data extraction, cleaning, structuring, and CSV delivery for large datasets, and I can prepare a clean, ingestion-ready flight dataset with the exact fields you require. For this project, I can provide: • A structured CSV file covering the agreed month • Required columns: – Flight Number – Departure Time (local + UTC) – Arrival Time (same standard) – Departure Terminal – Arrival Terminal • Optional extra column: Aircraft Type if available • UTF-8 encoding, consistent field names, and clean date-time formatting • IATA airport codes and removal of duplicate rows • A sample extract first (one airport or one day) for validation before full delivery I can also support this on a monthly subscription basis if the first delivery goes well. If a source provides partial coverage on specific fields such as terminals, I will clearly communicate that in advance and document any limitations before final delivery. What I focus on: • Accuracy and consistency • Clean CSV structure for Python / Excel • Reliable delivery method (ZIP / cloud link / direct download) I’m ready to discuss coverage, turnaround time, and source availability as soon as you’d like to proceed. Best regards.

@arbu1499

Hi! I understand you need a complete, gap-free CSV of scheduled commercial flights for March/April 2026 (focus on EU/Asia/NA), with strict schema (flight number, local/UTC times, terminals, optional aircraft), no charters/cargo, no duplicates, ISO-8601 formatting, and a validated sample first. I work with aviation datasets and understand sources like OAG and Cirium. My approach would be: Source scheduled + operated flights via licensed feeds (or approved aggregations), filtered to passenger ops only. Normalize to a strict schema (IATA codes, ISO-8601, local + UTC pairs), enrich terminals where available, and dedupe by (flight_number + dep_utc). Run coverage checks (days 1–31), gap detection, and spot validation against public trackers. Deliver a one-day sample CSV (e.g., LHR or FRA) for your approval before full-month generation. Delivery: single UTF-8 CSV (or split + ZIP if large), via cloud link; optional monthly subscription pipeline. Timeline: sample in 24–48 hrs, full month in 3–5 days after approval (subject to feed access/licensing). I’ll clearly state data source, licensing constraints, and permitted usage before proceeding. Looking forward for your positive response in the chatbox. Best Regards, Arbaz N