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:
fair-roseOP•6mo ago



dependent-tan•6mo ago
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.

fair-roseOP•5mo ago
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