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I am trying to dump the data created in a Java app engine application.  So, I have two versions of the app - the live java version and the python version that hosts /remote_api .  (this caused the url confusion)

Perhaps you can try specifying app_id explicitly by adding "--app-id='yourappid'".

Now you can choose to put this in an existing version of your applications config.ru. Or you can choose to put it in a new version (ie. version just for bulk upload/download without your application code). Either way once a version with the RemoteApiServlet is uploaded run this command to download your data: bulkloader.py --dump --app_id="application id" --url="url_to_remote_api_servlet" --filename="file to download data to" Here is an example from one of my apps: bulkloader.py --dump --app_id=jsm277 --url=http://bulkmove.latest.jsm277.appspot.com/remote_api --filename=test_download_data This command will download every object in your applications Datastore. If you only want to download the objects of one kind then simple add the --kind= option. Another example: bulkloader.py --dump --app_id=jsm277 --url=http://bulkmove.latest.jsm277.appspot.com/remote_api --filename=test_download_data --kind=Posts In order to restore the data that you have just downloaded use this command: bulkloader.py --restore --url="url_to_remote_api_servlet" --filename="file name from dump command" --app_id="application id" Here is an example command: bulkloader.py --restore --url=http://bulkmove.latest.railsturbinetest.appspot.com/remote_api --filename=test_download_data --app_id=railsturbinetest There are several important thing to keep in mind when restoring the Datastore objectes. The restore command simple restores whatever is in the filename that you provide. So it does not matter if you dump your entire Datastore or just one kind you use the same command to restore them both. You can restore Datastore objects to a different application then the one that they were downloaded from. However, is important to keep in mind that the object's key is used to restore each object. So if there already esists an object in the Datastore with the same key as an object that is being restored the object in the Datastore will be overwritten The bulkloader.py is a good tool for moving data between applications on the Google App Engine and for locally backing up your data. However, it is not good for data conversion or manipulation in anyway since the data is stored in a binary form. So happy data moving.

One thing you get used to on appengine is that any bulk data work requires the task queue.  You can use a little bit of framework and make all of these transforms (including deleting data) a question of just writing a simple task class and firing it off.  You'll want a copy of the Deferred servlet: http://code.google.com/p/gaevfs/source/browse/trunk/src/com/newatlant... Fair warning:  I found that I needed to change the code to make it perform base64 encoding all the time, not just on the dev instance.

One thing you get used to on appengine is that any bulk data work requires the task queue.  You can use a little bit of framework and make all of these transforms (including deleting data) a question of just writing a simple task class and firing it off.  You'll want a copy of the Deferred servlet: http://code.google.com/p/gaevfs/source/browse/trunk/src/com/newatlant... Fair warning:  I found that I needed to change the code to make it perform base64 encoding all the time, not just on the dev instance.

The mapper API isn't just limited to mapping over datastore entities, either. You can map over lines in a text file in the blobstore, or over the contents of a zip file in the blobstore. It's even possible to write your own data sources

You can use the RemoteDatastore class to upload or download from a   normal Java application to your local or a remote datastore.  It takes   care of setting up a dummy Environment and ApiProxy.Delegate for you.   You can then use then read local files unrestricted and use the low- level api to insert your data. http://code.google.com/p/remote-datastore/ You just need to call RemoteDatastore.install() and ignore the other   steps about connecting to a remote datastore.