RESO Web API Replication Guidelines

The documentation we provide is meant to outline the process for replicating using our implementation of the RESO Web API. These same general guidelines also apply to replicating other resources like Member and Office. If you find a problem with this outline please notify

  1. Initial Download
  2. Update Data
  3. Purging Stale Data

1. Initial Download

To kick off the initial download you'll need to make a request to the all properties endpoint. Optionally you may include the $count or $select parameters, but no other parameters should be specified.

Paginating through the full result set can be accomplished by executing the request returned by the @odata.nextLink value in your last request. This attribute shows how to access the next page of results using the $skiptoken parameter when you've finished processing the current page.

Note: a ListingKey orderby is applied by default, ensuring that the result set stays tidy while you are paginating through the results with skiptoken.

2. Update Data

Keeping your result set updated involves making requests against the ModificationTimestamp field using the timestamp of your last successful update minus 20 minutes to account for server side caching. Here is a pseudocode example to demonstrate:

  query_timestamp = last_successful_retrieval_timestamp - 20 #minutes
  ?&filter=ModificationTimestamp gt query_timestamp

Paginating through the update result set is once again accomplished by following the @odata.nextLink attribute.

During this step it is recommended that you also update the Media, Room, Unit and Open House relations. For an optimization, when updating media for a listing, you can reference the PhotosChangeTimestamp, VideosChangeTimestamp and DocumentsChangeTimestamp attributes to see if any media needs to be updated prior to polling for that data.

Purging Stale Data

Repeat step 1 with the $select=ListingKey parameter applied, paginate through the result set identically to step 1, and compare all ListingKey values returned with the values in your database. Purge any records that do not match.