Turn scraped rows into the next queue before exporting more data.
A workflow page for procurement and sourcing teams that collect supplier records and need capability, risk, and opportunity scoring before outreach.
Meet the buyer after the raw scraper.
Supplier scraper demand is visible in Store intelligence; this page explains the sourcing decision layer.
Collect suppliers
Start with a small supplier export or the public sourcing sample.
Score the records
Extract capabilities, country signals, risk, opportunity, and recommended action.
Review the shortlist
Move strong candidates to sourcing review and risky records to verification.
Raw data becomes a decision artifact.
Input: Supplier records with company name, description, country, category, shipment count, and capability clues.
Output: A sourcing shortlist with capability tags, risk score, opportunity score, and recommended sourcing action.
| Actor | Buyer | Link |
|---|---|---|
| Supplier Intelligence Monitor | Procurement teams, importers, Amazon sellers, industrial sales teams, sourcing agencies | Store path |
Procurement teams, importers, marketplace sellers, sourcing agencies, and industrial sales teams
Start with the public sample, inspect the action fields, then replace the sample rows with a small compliant export from the buyer's own workflow.
| Search shape | Next step |
|---|---|
| Alibaba supplier scraper and supplier directory exports | Run the analysis Actor |
Turn scraped rows into the next queue before exporting more data.
Show which rows become replies, shortlists, battlecards, or account-priority signals.
Pair each raw scraper query with one analysis Actor and one starter input.
Need this adapted before the first run?
Send a public-safe workflow request if the sample, setup, or output handoff needs a variant.
Keep requests public-safe: no credentials, private URLs, customer data, emails, or sensitive business data.