Warning: This tool or project is no longer maintained and kept available only for archival purposes. Since GoodRelations and schema.org have evolved significantly in the past years, the current status available on this page is unlikely to function as expected. We take no responsibility for any damage caused by the use of this outdated work, to the extent legally possible.

Due to a lack of resources, we are unable to provide support for this project outside of consulting projects or sponsored research. Please contact us if you can contribute resources to update and enhance these resources.

GoodRelations Searches delivered by
RSS 2.0 or Atom Feeds

For typical Web developers, it is still complicated to add content from the Semantic Web to an existing Web site. At the same time, most software packages for blogs, content management, and shop applications support the syndication of content from external sources via data feed formats, namely RSS and Atom. This tool helps to leverage the creation and consumption of e-commerce data from the Semantic Web via content syndication of search results in the form of RSS or Atom feeds.

Enter keywords for your search below:

SPARQL endpoint URI
Endpoint option
Default graph URI
restrict results to this graph
Enter keyword


License and Source Code

The source code is available under a free LGPL license from here.


Univ.-Prof. Dr. Martin Hepp
E-Business and Web Science Research Group, Chair of General Management and E-Business
Universität der Bundeswehr München
Werner-Heisenberg-Weg 39
D-85579 Neubiberg, Germany

Phone: +49-89-6004-4217
E-mail: tools (at) ebusiness-unibw.org


This tool has been developed by Alex Stolz, a member of the E-Business and Web Science Research Group at Universität der Bundeswehr München. The author would like to thank Martin Hepp for constructive feedback and ongoing substantial contributions to this project.

The work on GR2RSS has been supported by the German Federal Ministry of Research (BMBF) by a grant under the KMU Innovativ program as part of the Intelligent Match project (FKZ 01IS10022B).