OpenActive Data Catalogs provide a mechanism for registering OpenActive Datasite Sites so that they can be discovered and harvested by data users.
The JSON-LD OpenActive Data Catalog Collection contains a list of JSON-LD Data Catalogs, which each contain a list of HTML Dataset Sites. Each HTML Dataset Site references OpenActive feed URLs within its JSON-LD metadata.
Download the OpenActive Data Catalog Collection JSON-LD file using a GET request to the canonical URL https://openactive.io/data-catalogs/data-catalog-collection.jsonld (or https://openactive.io/data-catalogs/data-catalog-collection-preview.jsonld for datasets in "preview", or https://openactive.io/data-catalogs/data-catalog-collection-test.jsonld for datasets in "test").
Download each Data Catalog JSON-LD file referenced by the hasPart array in the OpenActive Data Catalog Collection (Data Catalog example data).
Download each Dataset Site HTML page referenced by the dataset array in each Data Catalog (Dataset Site example).
Extract the JSON-LD metadata from inside the HTML page of the Dataset Site (example extraction library).
The feed URLs are located in the distribution property of the JSON-LD metadata within the Dataset Site.
To support the OpenActive Data Catalogs infrastructure, the following two data files are hosted from within this central repository. They should be accessed via the canonical URLs below:
A JSON-LD collection of all Data Catalogs recognised as compliant by OpenActive.
https://openactive.io/data-catalogs/data-catalog-collection.jsonld
A JSON-LD Data Catalog for singular datasets that are not included in other Data Catalogs. This data catalog is included in the OpenActive Data Catalog Collection.
https://openactive.io/data-catalogs/singular.jsonld
Datasets with work in progress are available in the Preview Data Catalog Collection which references the corresponding Data Catalog for Preview Singular Datasets. These are not yet recognised as compliant by OpenActive, but may be of interest to data users for exploratory use.
https://openactive.io/data-catalogs/data-catalog-collection-preview.jsonld
https://openactive.io/data-catalogs/singular-preview.jsonld
Datasets that contain data from test, staging or UAT environments are available in the Test Data Catalog Collection which references the corresponding Data Catalog for Test Singular Datasets. These may be useful during deeper integrations such as with the Open Booking API.
https://openactive.io/data-catalogs/data-catalog-collection-test.jsonld
https://openactive.io/data-catalogs/singular-test.jsonld
If you have created a new Dataset Site, simply create a Pull Request for the OpenActive Data Catalog for Singular Datasets and add your Dataset Site's production URL to the dataset array.
The pull request will trigger GitHub Actions to run the OpenActive Test Suite to validate the live feeds within dataset. OpenActive Test Suite validation must pass before the PR can be merged.
To force the validation to re-run, please submit an empty commit to the PR:
git commit --allow-empty -m "trigger GitHub actions"
git pushIf you have created a new Data Catalog, simply create a Pull Request for the OpenActive Data Catalog Collection and add your Data Catalog's production URL to the hasPart array.
Reviewers must verify that that all criteria in the checklist found in the pull_request_template.md have been met.
This can be achieved by:
In cases where the data is likely to be valuable to data users while the data publisher is fixing bugs in their feeds, it may be added as a "preview" (either to data-catalog-collection-preview.jsonld or singular-preview.jsonld). This preview state will be reflected within the OpenActive Status Dashboard.
Once a Data Catalogue or Dataset has been accepted into the OpenActive Data Catalogue Collection, any corresponding test Data Catalogue or Dataset may be added to either data-catalog-collection-test.jsonld or singular-test.jsonld. Such test data will be reflected within the OpenActive Status Dashboard.
The repository includes basic tests to check the validity of the JSON-LD @id references included within it.
The Dataset Site JSON-LD metadata format, Data Catalog format, and Data Catalog Collection format are planned to be standardised as part of the Dataset API Discovery specification.