datawebotExtraction guide
Prepare evidence for ecommerce research
A manual handoff recipe to adapt in your own environment.
01 / INPUTDated records + source links
02 / YOUR WORKFLOWMap fields → inspect → hand off
03 / OUTPUTA research answer with attributable facts
Keep the right fields.
Manual data handoff| Field / step | Input | Rule |
|---|---|---|
| Source record | Product and variant identifiers | Keep identity as strings. |
| Citation | Source URL + retrieval time | Distinguish the saved sample from current prices. |
| 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
Use the available file or API handoff in your chosen environment. Do not imply a native connector.
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.