Dataset schema view
Hey, in the dataset schema view, we can either show all data or apply a transformation like "flatten".
Is it possible to do both: extract certain fields that may be more important to their own columns, but still have an
object field for the full data (some field are less important and potentially empty)?
When I do it at the moment the data is shown as undefined.
I'm adding my code and the resulting views as screenshot, hope this helps understanding what I'm describing.
Relevant docs I've used for reference: https://docs.apify.com/platform/actors/development/actor-definition/dataset-schema4 Replies
Someone will reply to you shortly. In the meantime, this might help:
I'm not sure if I understand your question correctly, but you can adjust the output schema by defining “flatten” fields for “data”. I hope the solution in the example is understandable.
I want to extract some fields from a dict called
data (using flatten or unwind), but also show the full data dict as an object (similarly to metadata in my screenshot).
I haven't found a way to make it work so far, data ends up showing as undefined