# Order Details PII

- BigQuery table name: `amazon_orders_details`
- Available in: Seller Central
- Data scheme index: https://api.datadoe.com/api/v1/spec/data-scheme.md

Order-level customer and shipping PII details. An extension of `amazon_order_items_with_cogs` table.

- Source type: `SELLER_CENTRAL`
- Source ID: `88e554542fab92541ca2423f3a230813ad57bb3e156207038fb3f7169b9e879d`
- Requires a date period: yes
- Contains PII: yes
- Premium table: yes
- User-managed: no
- Default dataset: no
- Rows count towards billing: yes
- Hub: https://www.datadoe.com/hub/data-scheme?source=SELLER_CENTRAL&table=88e554542fab92541ca2423f3a230813ad57bb3e156207038fb3f7169b9e879d

## Fetch periods

- `CONTINUOUS`

## Data availability

- `REAL_TIME` — Data is available up to 1 hour after the order is fetched.

## Columns (29)

- `date` (`DATE`, required)
- `marketplace_id` (`TEXT`, required) — Amazon provided ID that represents a specific country where the Seller or Vendor operates.
- `marketplace_country_code` (`TEXT`, required) — ISO country code for the Amazon marketplace.
- `marketplace_country_name` (`TEXT`, required) — Human-readable country name for the marketplace (derived from marketplace_id).
- `seller_or_vendor_id` (`TEXT`, required) — DataDoe account identifier used by MCP/API calls (sellers_and_vendors_list, exports). Not unique in amazon_sellers_and_vendors_context when one account has multiple connection contexts — join that table on connection_context_id instead.
- `seller_or_vendor_name` (`TEXT`, required) — DataDoe connection context display name for the seller or vendor.
- `marketplace_seller_id` (`TEXT`, nullable) — Amazon Seller Central seller ID from the connection (connection_seller_id). Null when the connection has no seller ID.
- `amazon_order_id` (`TEXT`, required)
- `buyer_email` (`TEXT`, nullable) — Hashed email address of the buyer. Same value across all orders from the same buyer; NULL for FBA orders. Non-null values are a safe grouping key for customer identity, retention, repeat purchase and CLV analysis.
- `buyer_name` (`TEXT`, nullable)
- `buyer_company_name` (`TEXT`, nullable)
- `buyer_purchase_order_number` (`TEXT`, nullable)
- `recipient_name` (`TEXT`, nullable)
- `recipient_company_name` (`TEXT`, nullable)
- `recipient_address_line1` (`TEXT`, nullable)
- `recipient_address_line2` (`TEXT`, nullable)
- `recipient_address_line3` (`TEXT`, nullable)
- `recipient_city` (`TEXT`, nullable)
- `recipient_district_or_county` (`TEXT`, nullable)
- `recipient_state_or_region` (`TEXT`, nullable)
- `recipient_municipality` (`TEXT`, nullable)
- `recipient_postal_code` (`TEXT`, nullable)
- `recipient_country_code` (`TEXT`, nullable)
- `recipient_phone` (`TEXT`, nullable)
- `recipient_address_type` (`TEXT`, nullable)
- `recipient_extended_fields` (`JSON`, nullable)
- `order_items_gift_messages` (`JSON`, nullable)
- `order_items_customized_urls` (`JSON`, nullable)
- `order_date` (`DATE`, required) — Duplicate of date column. Prefer to use date column for date filtering.

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Query live via DataDoe MCP `exports_source_get` (connected accounts only), or request rows with `exports_create`.
