Batch Jobs


Download batch job results

Once a batch job is finished you can get a handle to the results (which can be a single file or multiple files) and metadata with get_results()

>>> results = job.get_results()
>>> results
<JobResults for job '57da31da-7fd4-463a-9d7d-c9c51646b6a4'>

The result metadata describes the spatio-temporal properties of the result and is in fact a valid STAC item:

>>> results.get_metadata()
    'bbox': [3.5, 51.0, 3.6, 51.1],
    'geometry': {'coordinates': [[[3.5, 51.0], [3.5, 51.1], [3.6, 51.1], [3.6, 51.0], [3.5, 51.0]]], 'type': 'Polygon'},
    'assets': {
        'res001.tiff': {
            'href': 'https://openeo.example/download/432f3b3ef3a.tiff',
            'type': 'image/tiff; application=geotiff',
        'res002.tiff': {

Download all assets

In the general case, when you have one or more result files (also called “assets”), the easiest option to download them is using download_files() (plural) where you just specify a download folder (otherwise the current working directory will be used by default):


The resulting files will be named as they are advertised in the results metadata (e.g. res001.tiff and res002.tiff in case of the metadata example above).

Download single asset

If you know that there is just a single result file, you can also download it directly with download_file() (singular) with the desired file name:


This will fail however if there are multiple assets in the job result (like in the metadata example above). In that case you can still download a single by specifying which one you want to download with the name argument:

result.download_file("data/out/result.tiff", name="res002.tiff")

Fine-grained asset downloads

If you need a bit more control over which asset to download and how, you can iterate over the result assets explicitly and download these ResultAsset instances with download(), like this:

for asset in results.get_assets():
    if asset.metadata["type"].startswith("image/tiff"):"data/out/result-v2-" +

Directly load batch job results

If you want to skip downloading an asset to disk, you can also load it directly. For example, load a JSON asset with load_json():

>>> asset.metadata
{"type": "application/json", "href": "https://openeo.example/download/432f3b3ef3a.json"}
>>> data = asset.load_json()
>>> data
{"2021-02-24T10:59:23Z": [[3, 2, 5], [3, 4, 5]], ....}