GTFS Transit Data for Italy - extraurbano by Transport-Ita

Detailed Overview of extraurbano Public Transport GTFS Data

The extraurbano GTFS feed, provided by Transport-Ita, delivers a comprehensive dataset for public transportation in Italy. This feed, formatted in GTFS, covers an extensive network of 25 routes and 811 stops, making it indispensable for developers and transit enthusiasts working with detailed transit data and transport information.

With 1 operators contributing to this GTFS static feed, it ensures broad coverage and up-to-date scheduling in the GTFS format for a wide array of public transit options. The data spans a significant geographical area, primarily focusing on Italy, as shown on the map.

Valid from May 4, 2025 to June 30, 2025, this GTFS feed is a reliable resource for any project needing accurate and structured public transit data, whether you’re using a GTFS editor, building a transit app, or integrating GTFS realtime (GTFS RT) data into your systems.

Whether planning a journey or conducting transport research, the extraurbano feed provides the precise GTFS static data required to create insightful and user-friendly transportation solutions.

Transit Data for Italy - extraurbano by Transport-Ita with Stops on Map

Enhanced and Corrected GTFS Data Resources (2025-05-17)

Our team has addressed the most critical bugs in the dataset and rectified any inconsistencies to ensure optimal data quality.

Review our procedures list by clicking on the following link.

  • Our latest version of the extraurbano GTFS feed has been fully corrected and enriched, ensuring it meets the highest GTFS standards. This updated feed addresses critical bugs and errors, providing accurate and reliable transit data for Italy. Our team has followed a detailed list of procedures to bring the source data up to GTFS format standards, making it indispensable for developers and transit planners.

    SHA1: 111f2d6a017cedb46e25395828cf5e48d53040ce
    SHA256: cef7da80cb65f417274f1e9375ad7a4c9415d75832b60bc09c46b45bf8f843cd

    You can download the latest improved GTFS feed, now free of inconsistencies, ensuring that your project has the best data available. The license for this work is not specified.

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  • We’ve included a detailed GTFS data validation report, offering insights into any errors or warnings within the feed. This report is crucial for developers working with GTFS static data, ensuring that your applications and analyses are based on clean and accurate information. The license for this work is not specified.

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  • For advanced users, we have also prepared the transit data in GeoJSON format, compatible with open-source tools like QGIS. This format is perfect for those requiring enhanced spatial analysis capabilities alongside their GTFS data. The license for this work is not specified.

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Source data - (2025-04-30)

We obtain the GTFS directly from official sources, but it may contain errors or be unsuitable for use.

Check the source and improved validation files to observe the disparities.

  • The extraurbano GTFS feed contains the original source data directly obtained from official providers in Italy, formatted in the GTFS standard. This data serves as the foundation for public transit applications and transit research. While it offers a comprehensive base, it is recommended to carefully review the data, as it may contain errors or inconsistencies that could impact its immediate usability.

    SHA1: 9e5d70a0fe93286cdd49aeb10ff73785986f6ba1
    SHA256: 70ab7a8d96fb9b056208ef75fb3ea5c7e905bc74978721c698fca5d0710e89ba

    This source data was downloaded from this link. This source data is licensed under Not_specified

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  • To ensure a clear understanding of the integrity of the original source data, we provide a detailed mobility data validation report. This report highlights any errors or warnings found in the source GTFS data, offering insight into areas that may require attention during data usage.

    The license for this work is not specified.

    Download Now:

All data presented on this site is sourced from publicly available sources by our team of content managers. If you believe that a file has been posted in error or that an incorrect license has been attributed, please contact us at [email protected]. We will review your concerns promptly and take appropriate action.

Overlapping feeds

Feed Name Stops Overlap Number of overlapping stops.
We calculate duplicated stops using our own formula including geographic locations
Routes Overlap Number of overlapping routes.
We calculate duplicated routes using our own formula taking into consideration geographic locations
brindisi 94 (11.63%) -
stpbrindisi-it-1 51 (6.31%) -
francavilla 13 (1.61%) -