I don't think Generic is capable of doing that. I'd recommend storing it in KBC as JSON by using "forceType": true (https://developers.keboola.com/extend/generic-extractor/configuration/config/mappings/#column-mapping105). And then process it in the transformation.
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Q&A (Help Needed) Generic Extractor. Is there a way how to parse simple JSON object with many key/value pairs to table? (see sample JSON and expected table)
Generic Extractor. Is there a way how to parse simple JSON object with many key/value pairs to table? (see sample JSON and expected table)
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