datawebotExtraction guide
Separate catalog data from customer segments
A manual handoff recipe to adapt in your own environment.
01 / INPUTProduct records + authorized customer data
02 / YOUR WORKFLOWMap fields → inspect → hand off
03 / OUTPUTA reviewed segmentation input
Keep the right fields.
Manual data handoff| Field / step | Input | Rule |
|---|---|---|
| Source record | Product and variant identifiers | Keep identity as strings. |
| Identity | Your merchant catalog mapping | Do not join customers on product titles. |
| Evidence | source_url + retrieved_at | Keep the original observation attached. |
02 / Inspect the example
| Variant | SKU | Example price | Example availability |
|---|---|---|---|
| Small / Navy | DEMO-TEE-S-NV | USD 32.00 | Example: available |
| Medium / Navy | DEMO-TEE-M-NV | USD 32.00 | Example: available |
| Medium / Sand | DEMO-TEE-M-SD | USD 34.00 | Example: unavailable |
| Large / Navy | DEMO-TEE-L-NV | USD 32.00 | Example: unknown |
All names, identifiers, prices and availability values are fictional. They do not describe a merchant’s catalog or inventory.
Before you use the output
Public extraction does not provide customer identity, consent or campaign execution.
Check one record first.
Start with the smallest useful scope. Compare the returned record with its source, confirm variant identity and inspect missing fields before applying the mapping to a larger dataset.
Keep extraction warnings and the retrieval timestamp with downstream output. When a required field is missing, leave it unresolved or return to the source; do not fill it from an assumption.