Flight Schedules | Departures, Arrivals & Airline Schedule Intelligence The platform available at https://dash.niamonx.io/flight_schedules β€” known as Flight Schedules β€” is a flight schedule intelligence tool within the NiamonX platform. It allows users to search real-time airport schedules by departure airport, arrival airport, airline, specific flight number, flight status, and delay filters. Overview of the Service Flight Schedules provides a structured view of current and near-future flight movements. The tool is designed to show departure and arrival queues for up to approximately 12 hours ahead, depending on the available data source and selected filters. Unlike a single-flight lookup tool, Flight Schedules is built for broader schedule monitoring. It helps users analyze groups of flights from or to a specific airport, filter by airline, search for a specific flight, review operational status, identify delays, and export results for further analysis. The module is useful for travel coordination, logistics, aviation OSINT, airport monitoring, corporate travel tracking, incident response support, executive protection workflows, and operational awareness. Access depends on the user’s plan and daily tool limits. πŸ” How the Search Works The user selects one or more search fields and submits a schedule query. The system then searches the flight schedule database and returns matching flights in a structured table. The tool supports multi-criteria search, meaning users can combine multiple filters to narrow results. Example search combinations: Departure airport only Arrival airport only Departure airport + airline Arrival airport + airline Departure airport + arrival airport Specific flight number Airport + flight status Airport + minimum delay Airline + status Airline + route For example, a user can search all departures from Miami International Airport using: Departure IATA: MIA Or combine filters such as: Departure IATA: MIA Airline IATA: AA Status: active The result is a schedule table with flight numbers, route, airline, status, departure and arrival times, terminal and gate details, flight duration, and delay indicators when available. 🧩 What Can Be Searched Flight Schedules supports several search fields. Departure Airport Users can search by departure airport using either IATA or ICAO code. Examples: MIA KMIA Arrival Airport Users can search by arrival airport using either IATA or ICAO code. Examples: SFO KSFO Airline Users can filter by airline using IATA or ICAO airline code. Examples: AA AAL Multiple airlines can be entered as a comma-separated list. Example: AA,BA,DL Flight Number Users can search for a specific flight by IATA or ICAO flight number. Examples: AA2421 AAL2421 Status Users can filter schedules by operational status. Possible values may include: Any Active Scheduled Landed Cancelled Delayed Unknown The exact available statuses depend on backend data. Delay Filter Users can search for flights with delay greater than or equal to a selected number of minutes. Example: Delay β‰₯ 30 This is useful for quickly identifying disrupted flights. βš™οΈ Search Interface The Flight Schedules interface contains several main search controls. Departure IATA Search by departure airport IATA code. Example: MIA Departure ICAO Search by departure airport ICAO code. Example: KMIA Arrival IATA Search by arrival airport IATA code. Example: SFO Arrival ICAO Search by arrival airport ICAO code. Example: KSFO Airline IATA Filter by one or more airline IATA codes. Example: AA,BA Airline ICAO Filter by one or more airline ICAO codes. Example: AAL,BAW Flight IATA Search by IATA-style flight number. Example: AA2421 Flight ICAO Search by ICAO-style flight number. Example: AAL2421 Status Filter by flight status. Default value: Any Delay β‰₯ Filter flights with a delay greater than or equal to the selected number of minutes. Example: 30 πŸ“Š Schedule Results After a successful search, the tool displays a schedule summary and a table of matching flights. The summary may include: Search filter used Timestamp of the query Number of results Number of airlines Departure airport Destination airports Time window Result table Example summary structure: DEP_IATA: MIA Results: 100 Airlines: 37 From: MIA To: DTW, DCA, MCO, MGA, PHL, BWI, YYZ Window: 2026-06-17 13:00 UTC β†’ 2026-06-18 00:08 UTC This gives users a fast overview of the searched airport schedule and the range of returned flights. πŸ“‹ Results Table The main results table displays flight records in a compact operational format. Typical columns may include: Column Description Flight Flight number Airline Airline IATA code Route Departure and arrival airports Status Flight status Departure time Scheduled or updated departure time Arrival time Scheduled or updated arrival time Departure terminal / gate Departure terminal and gate Arrival terminal / gate Arrival terminal and gate Duration Flight duration in minutes Departure delay Departure delay, if available Arrival delay Arrival delay, if available Example row: AA3310 AA MIA β†’ DCA active 2026-06-17 17:41 2026-06-17 20:25 N / D38 2 / C32 164 The table is intended for quick scanning and comparison. Users can click column headers to sort results when sorting is available. πŸ›« Departures When searching by departure airport, the tool shows flights leaving the selected airport within the current schedule window. Departure-focused use cases: Checking airport departure queue Monitoring outbound flights Reviewing gate assignments Checking airline activity from an airport Identifying delayed departures Tracking specific outbound routes Exporting airport departure lists Example: Departure IATA: MIA This returns flights departing from Miami International Airport. πŸ›¬ Arrivals When searching by arrival airport, the tool shows flights arriving at the selected airport within the current schedule window. Arrival-focused use cases: Passenger pickup planning Airport arrival monitoring Logistics coordination Delay tracking Airline arrival filtering Destination airport analysis Example: Arrival IATA: EWR This returns flights arriving at Newark Liberty International Airport. 🏒 Airline Filtering The tool supports airline filtering by IATA or ICAO code. This is useful when users need to focus on one airline or a group of airlines. Example: Airline IATA: AA,BA This can return only flights operated or listed under American Airlines and British Airways codes, depending on backend data. Airline filtering is especially useful for: Airline operations review Codeshare analysis Corporate travel monitoring Disruption analysis Airport activity by carrier ✈️ Flight Number Search Users can search for a specific flight using IATA or ICAO flight number fields. Examples: Flight IATA: EK164 Flight ICAO: UAE164 This is useful when a user wants schedule-table context for one specific flight rather than a full airport queue. If the exact flight is not found, users should verify whether the flight number is IATA or ICAO and try the matching field. ⏱️ Time Window Flight Schedules shows the current queue for up to approximately 12 hours ahead. The result summary may show the schedule window in UTC. Example: Window: 2026-06-17 13:00 UTC β†’ 2026-06-18 00:08 UTC The time window helps users understand which period is covered by the returned results. Important interpretation notes: The schedule window may shift depending on current time and backend data. Results may include active, landed, scheduled, or delayed flights. UTC is useful for cross-time-zone comparison. Local airport times may differ from the displayed UTC values depending on interface configuration. 🧠 Key Features Multi-Criteria Search Users can combine departure airport, arrival airport, airline, flight number, status, and delay filters. Departure and Arrival Monitoring The tool supports both outbound and inbound schedule analysis. Airline Filtering Users can filter by one or more airlines using comma-separated codes. Specific Flight Lookup The module supports direct flight number filtering. Status Filtering Users can narrow results by operational status. Delay Filtering The delay filter helps identify flights with disruption above a selected threshold. Sortable Results Users can sort schedule rows by table columns. CSV Export Schedule results can be exported to CSV for spreadsheets, reporting, or operational workflows. TXT Export Flight codes can be exported as TXT for simple lists, scripts, or copy-paste workflows. Local Request History The last 100 schedule queries are stored locally in the browser. Plan-Based Limits Daily query limits depend on the user’s subscription plan and are enforced server-side. πŸ“€ Export Options Flight Schedules supports export for operational and analytical workflows. CSV Export CSV export is useful for: Spreadsheet analysis Reporting Airport operations review Logistics planning Delay tracking Airline comparison Internal documentation TXT Export TXT export can provide a plain list of flight codes. This is useful for: Quick sharing Batch checking Operational watchlists Copying flight numbers into another tool Lightweight reporting Exported files should be stored appropriately when they contain operationally sensitive travel information. πŸ•“ Request History The Request History section stores the last 100 queries in the user’s browser. History entries may include: Departure filter Arrival filter Airline filter Flight filter Query timestamp Route summary Search mode or selected fields Example history entry: MIA β†’ β€” Airlines: any Flight: any 17.06.2026, 21:37:41 Request history is stored locally and helps users quickly repeat previous searches. Because it is browser-based, history may be cleared when the user deletes local browser data or switches devices. 🚦 Daily Queries and Plan Limits Flight Schedules uses plan-based query limits. Example: 148 / 150 Queries remaining / total Plan: Sentinel Important points: Access depends on the user’s plan. Daily tool limits are enforced server-side. Users should monitor remaining queries when performing many searches. Exporting already loaded data does not necessarily require a new schedule query. 🧭 IATA and ICAO Codes The tool supports both IATA and ICAO code formats. Airport Codes IATA airport codes are usually three letters. Examples: MIA SFO EWR ICAO airport codes are usually four letters. Examples: KMIA KSFO KEWR Airline Codes IATA airline codes are usually two characters. Examples: AA BA DL ICAO airline codes are usually three letters. Examples: AAL BAW DAL Flight Numbers IATA flight numbers usually start with an IATA airline code. Example: AA2421 ICAO flight numbers usually start with an ICAO airline code. Example: AAL2421 Using the correct code type improves result accuracy. 🧠 Result Interpretation Flight schedule data should be interpreted as operational information that may change quickly. Important notes: Gates can change before departure or arrival. Terminals can change due to operational conditions. Delay values may update frequently. Codeshare flights may appear as multiple flight numbers for the same physical flight. Airline filters may include codeshare or marketing flight numbers depending on backend data. A missing field does not always mean the information does not exist; it may simply not be returned. Schedule windows are time-limited and should not be interpreted as a full-day flight list. For critical travel or logistics decisions, confirm with official airline or airport sources. Codeshare behavior is especially important. Multiple airlines may show identical route, time, terminal, and gate information because they refer to the same operating flight under different marketing flight numbers. βœ… Recommended Workflow A practical schedule search workflow should follow these steps. 1. Choose the Search Field Select whether you want to search by departure, arrival, airline, flight number, status, or delay. 2. Enter Airport or Airline Codes Use IATA or ICAO codes depending on the field. 3. Combine Filters When Needed For example, use departure airport plus airline code to narrow results. 4. Review the Summary Check number of results, airlines, route coverage, and time window. 5. Sort the Table Sort by departure time, arrival time, status, airline, route, or delay. 6. Identify Codeshares Look for rows with identical route and times but different airline codes. 7. Check Delays Use the delay filter or delay columns to identify disruptions. 8. Export Results Export CSV for structured analysis or TXT for flight code lists. 9. Use History for Repeated Queries Open recent searches from browser history when checking the same airport repeatedly. 10. Verify Critical Data Confirm important travel or operational decisions through official sources. πŸ›‘οΈ Security, Privacy & Responsible Use Flight Schedules is intended for lawful aviation schedule lookup and operational awareness. Acceptable use cases include: Airport departure monitoring Airport arrival monitoring Travel planning Passenger pickup coordination Logistics planning Airline schedule review Aviation OSINT Corporate travel monitoring Incident response support Executive protection workflows Delay analysis Exporting operational flight lists Users should follow responsible use principles: Do not use schedule data for stalking, harassment, or physical harm. Do not misuse flight data to target individuals. Do not treat schedule data as perfectly real-time or complete. Do not make safety-critical decisions based only on one source. Verify important travel, airport, or operational data with official sources. Treat local request history as potentially sensitive on shared devices. βš™οΈ Technical Highlights Flight schedule search module Available at dash.niamonx.io/flight_schedules Real-time schedule database Shows current queue for up to approximately 12 hours ahead Supports departures and arrivals Supports airport IATA and ICAO filters Supports airline IATA and ICAO filters Supports specific flight IATA and ICAO filters Supports status filtering Supports minimum delay filtering Multi-criteria search Comma-separated airline filtering Client-side controls Sortable result table CSV export TXT export for flight codes Local browser request history Stores last 100 queries in the browser Plan-based daily query limits Server-side limit enforcement Suitable for aviation monitoring, travel coordination, logistics, OSINT, and operational awareness πŸ“Œ Usage Hints Select which field you want to search by. Use Departure IATA for airport departure queues. Use Arrival IATA for airport arrival queues. Use ICAO codes when IATA results are ambiguous. Combine filters, such as departure airport plus airline IATA. Use comma-separated airline codes to filter multiple carriers. Use status filtering to focus on active, landed, scheduled, or delayed flights. Use Delay β‰₯ to find disrupted flights. Sort by any column for faster analysis. Export CSV for full schedule analysis. Export TXT when you only need flight codes. Remember that schedule data can change quickly. Access depends on your plan and daily tool limits. Local request history stores the last 100 queries in your browser. πŸ“¬ Contact Information For technical, legal, abuse, privacy, or support-related inquiries, users can contact the NiamonX team directly: support@niamonx.io β€” Technical Support other@niamonx.io β€” General Inquiries takedown@niamonx.io β€” Privacy or Data Removal Requests legal@niamonx.io β€” Legal and Compliance Matters Alternative contact channel: πŸ”— Helpdesk: https://support.niamonx.io/ Summary NiamonX Flight Schedules is a real-time flight schedule intelligence tool for searching departures, arrivals, airlines, specific flights, statuses, and delays. It supports multi-criteria search by airport IATA / ICAO, airline IATA / ICAO, flight IATA / ICAO, operational status, and minimum delay. The tool returns structured schedule tables with routes, times, terminals, gates, durations, delays, result summaries, export options, and browser-based request history. Flight Schedules is designed for travel coordination, airport monitoring, aviation OSINT, logistics, corporate travel visibility, and operational awareness. Results should be treated as informational and verified with official airline or airport sources when used for critical decisions.