nrw — GTFS Transit Data for Germany

Active
Willkommen-OpenData-OPNV Germany June 6, 2026 — November 1, 2026

About This Feed

The nrw GTFS feed by Willkommen-OpenData-OPNV provides structured public transit data for Germany, covering 5680 routes and 98003 stops operated by 75 transit agencies. Formatted in the General Transit Feed Specification (GTFS) standard, this dataset is ready for integration with transit apps, routing engines, and urban planning tools.

Valid from June 6, 2026 to November 1, 2026. Suitable for production use in transit applications, GTFS editors, and GTFS-RT integrations.

Data is automatically validated and corrected. View our quality pipeline →

Transit map showing nrw routes and stops in Germany
Explore 5,680 routes, 98,003 stops, 75 agencies

Browse routes, stops, and agencies from this specific feed. Public pages show merged data from all feeds — sign in to access per-feed breakdowns useful for GTFS integration and debugging.

Sign in to access →

Download Data

Enhanced & Validated Recommended

Updated 2026-06-19

Cleaned, corrected, and validated against GTFS specifications. View corrections.

ZIP GTFS Feed — Corrected & Enriched
59.33 MB
Download GTFS
This work is licensed under a Busmaps_licence_v1. Content Hash: d14771f274a6244126c8a5d968e41c9023a11888
ZIP Validation Report
0.07 MB
Download
0Errors
2,717Warnings
13,737Info
Top Issues
non ascii or non printable char1,867
fast travel between far stops446
unexpected enum value158
GeoJSON GeoJSON Data
2.69 MB
Download

Original Source

Obtained 2026-06-16

Unmodified GTFS data from official sources. May contain errors or inconsistencies.

ZIP GTFS Source Data
71.16 MB
Download
License: CC_BY Content Hash: e00f7189c7cbefe1c0308813480f5aaf6a12b953
ZIP Validation Report
0.16 MB
Download
2Errors
18,466Warnings
18,062Info
Top Issues
point near origin2
service has no active day of the week8,254
fast travel between consecutive stops4,798

Overlapping Feeds

Feeds that share stops or routes with this dataset.

Feed Stops Overlap Routes Overlap
delfi 44987 (45.94%) 5234 (92.15%)
ulmer-eisenbahnfreunde 43602 (44.53%) 5153 (90.72%)
deutschen-all 45669 (46.64%) 4532 (79.79%)
nordrhein-westfalen-2 10737 (10.97%) 1566 (27.57%)
vrs 15 (0.02%) 544 (9.58%)
avv 2 (0%) 456 (8.03%)
gtfs-nl 128 (2.25%)
bwspnv 23 (0.02%) 26 (0.46%)
toplevel-dhid-siflecehpr 10 (0.01%) 3 (0.05%)
circula 2 (0.04%)
munster 1 (0.02%)
vrn 11 (0.01%)
bwgesamt 9 (0.01%)
deutsche-bahn 2 (0%)
Build real-time departures into your app Free API Access →

Frequently Asked Questions

What is GTFS data?

General Transit Feed Specification (GTFS) is an open data format for public transit schedules and geographic information. Created by Google and TriMet, it defines a common format for transit agencies to publish their data, enabling developers to build interoperable transit applications, trip planners, and mobility analytics tools.

What is the difference between enhanced and source data?

Source data is the original GTFS feed obtained directly from the transit agency or official provider. The enhanced version has been processed by our team to fix common errors, remove inconsistencies, and ensure compliance with GTFS specifications. We recommend using the enhanced version for production applications.

Can I use this data in my application?

Data usage depends on the license specified by the original provider. Check the license information in the download section above. Many GTFS feeds are published under open data licenses that allow free use with attribution. Always verify the license terms before integrating data into your project.

How do I validate a GTFS feed?

Each feed includes a validation report that documents errors and warnings. You can also use tools like the MobilityData GTFS Validator to independently validate the data. Our enhanced feeds have already been processed to resolve the most critical validation issues.

All data on this site is sourced from publicly available sources. If you believe a file has been posted in error or an incorrect license has been attributed, please contact us.