Every order & field
Pull the full Amazon Selling Partner Vendor data model - orders, line items, customers, products, refunds - not just a fixed preset, so your store reports are never missing a field.
Amazon Selling Partner Vendor
Amazon Selling Partner Vendor
E-commerceDataddo extracts the full Amazon Selling Partner Vendor data set - orders, customers, products, carts, payments - and delivers it wherever your team needs it: into AI tools and agents, your warehouse like Snowflake and BigQuery, BI dashboards, and back into your marketing and CRM tools. Blend it with ad, CRM, and finance data, backfill full history, and keep it fresh on your schedule - all fully managed, with the data plane running where you choose. No pipelines to build, no lock-in.
YOUR STORE SOURCE OF TRUTH
Turn Amazon Selling Partner Vendor into store reporting your whole team trusts
E-commerce data is only useful when it's complete, clean, and current. Dataddo extracts the full Amazon Selling Partner Vendor data model, governs it, and serves it to every warehouse, dashboard, AI tool, and downstream system - continuously and without manual exports.
Blend with ads, CRM & finance
Combine Amazon Selling Partner Vendor with your advertising, CRM, and finance sources so full-funnel and unit-economics analytics live in one place.
Backfill full history
Load historical Amazon Selling Partner Vendor data beyond the platform's export limits, so cohort, LTV, and seasonality analysis holds up.
Model & clean before load
Normalize currencies, SKUs, and tax, and let the Data Quality Firewall stop bad rows before Amazon Selling Partner Vendor data reaches your reports.
Fresh on your schedule
Incremental, scheduled syncs keep Amazon Selling Partner Vendor data current - as often as hourly - without manual exports or full reloads.
Governed & monitored
Delivery alerts and quality checks catch gaps in Amazon Selling Partner Vendor data early, so revenue dashboards never silently break.
DATASETS
What you can pull from Amazon Selling Partner Vendor
The Amazon Selling Partner Vendor connector provides a list of curated datasets - ready-made sets of orders, customers, products, and metrics you can extract on a schedule. Need something specific? Any dataset can be forked and customized, or built from scratch, with our Universal Connector.
List of curated datasets
Purchase Order NumberpurchaseOrderNumber
string
Customer Order NumbercustomerOrderNumber
string
orderStatusorderStatus
string
shipmentDetailsIsPriorityShipmentshipmentDetailsIsPriorityShipment
integer
shipmentDetailsIsScheduledDeliveryShipmentshipmentDetailsIsScheduledDeliveryShipment
integer
Shipment Details Is Pslip RequiredshipmentDetailsIsPslipRequired
integer
Shipment Details Is GiftshipmentDetailsIsGift
integer
Shipment Details Ship MethodshipmentDetailsShipMethod
string
Shipment Detail Message To CustomershipmentDetailMessageToCustomer
string
Selling Party IdsellingPartyId
string
Selling Party Address NamesellingPartyAddressName
string
Selling Party Address Line 1sellingPartyAddressLine1
string
Selling Party Address Line 2sellingPartyAddressLine2
string
Selling Party Address Line 3sellingPartyAddressLine3
string
Selling Party Address CitysellingPartyAddressCity
string
Selling Party Address CountysellingPartyAddressCounty
string
Selling Party Address DistrictsellingPartyAddressDistrict
string
Selling Party Address State Or RegionsellingPartyAddressStateOrRegion
string
Selling Party Address Country CodesellingPartyAddressCountryCode
string
Selling Party Address PhonesellingPartyAddressPhone
string
Ship From Party IdshipFromPartyId
string
Ship From Party Address NameshipFromPartyAddressName
string
Ship From Party Address Line 1shipFromPartyAddressLine1
string
Ship From Party Address Line 2shipFromPartyAddressLine2
string
Ship From Party Address Line 3shipFromPartyAddressLine3
string
Ship From Party Address CityshipFromPartyAddressCity
string
Ship From Party Address CountyshipFromPartyAddressCounty
string
Ship From Party Address DistrictshipFromPartyAddressDistrict
string
Ship From Party Address State Or RegionshipFromPartyAddressStateOrRegion
string
Ship From Party Address Postal CodeshipFromPartyAddressPostalCode
string
Ship From Party Address Country CodeshipFromPartyAddressCountryCode
string
Ship From Party Address PhoneshipFromPartyAddressPhone
string
Ship To Party IdshipToPartyId
string
Ship To Party Address NameshipToPartyAddressName
string
Ship To Party Address Line 1shipToPartyAddressLine1
string
Ship To Party Address Line 2shipToPartyAddressLine2
string
Ship To Party Address Line 3shipToPartyAddressLine3
string
Ship To Party Address CityshipToPartyAddressCity
string
Ship To Party Address CountyshipToPartyAddressCounty
string
Ship To Party Address DistrictshipToPartyAddressDistrict
string
Ship To Party Address Postal CodeshipToPartyAddressPostalCode
string
Ship To Party Address Country CodeshipToPartyAddressCountryCode
string
Ship To Party Address PhoneshipToPartyAddressPhone
string
Bill To Party IdbillToPartyId
string
Bill To Party Address NamebillToPartyAddressName
string
Bill To Party Address Line1billToPartyAddressLine1
string
Bill To Party Address Line2billToPartyAddressLine2
string
Bill To Party Address Line3billToPartyAddressLine3
string
Bill To Party Address CitybillToPartyAddressCity
string
Bill To Party Address CountybillToPartyAddressCounty
string
Bill To Party Address DistrictbillToPartyAddressDistrict
string
Bill To Party Address State Or RegionbillToPartyAddressStateOrRegion
string
Bill To Party Address Postal CodebillToPartyAddressPostalCode
string
Bill To Party Address Country CodebillToPartyAddressCountryCode
string
Bill To Party Address PhonebillToPartyAddressPhone
string
Order DateorderDate
datetime
Shipment Details Shipment Dates Required Ship DateshipmentDetailsShipmentDatesRequiredShipDate
datetime
Shipment Details Shipment Dates Promised Delivery DateshipmentDetailsShipmentDatesPromisedDeliveryDate
datetime
Need a dataset, metric, or attribute you don't see?
Tell us what's missing and we'll add it to the connector.
WITH VS. WITHOUT
Who carries the load when things change
Keep Amazon Selling Partner Vendor data flowing to every warehouse, dashboard, and tool - and see who owns it when an API or schema changes:
| Without Dataddo |
With Dataddo
|
Outcome for you | |
|---|---|---|---|
| API or auth change | You discover the breakage and scramble to fix it. | We update the connector and restore the pipeline - often before you notice. | Syncs from Amazon Selling Partner Vendor keep flowing |
| Schema drift | Columns change and pipelines break or corrupt data silently. | Detected automatically and handled by configurable rules. | Only clean Amazon Selling Partner Vendor data lands in reports |
| Endpoint deprecated | You re-engineer the integration. | We own the update - the data contract holds. | Your Amazon Selling Partner Vendor reporting keeps working |
| Missing connector | You build and maintain a custom integration. | We build it and maintain it, under a ~4-week SLA. | Any Amazon Selling Partner Vendor field you need, on request |
| Silent degradation | You find out when a report or model run fails. | Proactive monitoring catches anomalies and delays first. | Gaps caught before revenue dashboards break |
| Debugging | You dig through logs across disconnected tools. | Run histories, payload inspection, and end-to-end lineage in one place. | Faster root-cause, fewer reporting gaps |
Data residency by design
Choose where Amazon Selling Partner Vendor data is processed - same cloud, region, or sovereign
Amazon Selling Partner Vendor is a cloud API, so the question isn't on-prem vs cloud - it's which region your store and customer data flows through. With Dataddo you run the data plane in the region you choose, so Amazon Selling Partner Vendor payloads move straight to your destinations without transiting a third-party SaaS. Pin it to an EU or US region for compliance, or self-host when a downstream target lives inside your own network.
| Data Plane location | Typical data sensitivity | Why this setup |
|---|---|---|
|
Public cloud 
AWS
Microsoft Azure
Google Cloud
|
Low to moderate - general business, marketing, and product data; sources that are already cloud-native. | Fastest to stand up and scales elastically. Best when the data has no residency restriction and often already lives in the same public cloud. |
|
Regional & EU sovereign clouds
EU sovereign clouds
Regional providers
Private cloud
|
Regulated / residency-bound - PII, financial, and health data governed by GDPR or local law. | Keeps processing inside a specific jurisdiction to meet data-residency and sovereignty rules, while still running as managed infrastructure. |
|
On-premises 
Kubernetes
Red Hat OpenShift
VMware Tanzu
|
Highly sensitive / restricted - data that contractually or legally cannot leave the corporate perimeter. | Data never leaves your network. Required for air-gapped, classified, or locked-down environments; the Control Plane still manages it via metadata only. |
DATA DELIVERY
Every way to deliver Amazon Selling Partner Vendor data
E-commerce data rarely has one home. Dataddo feeds Amazon Selling Partner Vendor into AI and agents, loads it into your warehouse for revenue and cohort analytics, activates audiences back into marketing and CRM tools, and delivers files to storage - all governed the same way.
| Transport type | What it does | Typical destinations | Typical business use cases |
|---|---|---|---|
| Data to AI™ & Agents | Feed Amazon Selling Partner Vendor data into vector databases, LLMs, and AI agents so shopping assistants and copilots can reason over your store. | Load Amazon Selling Partner Vendor products and orders into vector stores for retrieval-augmented shopping assistants, Give AI agents and copilots governed access to live Amazon Selling Partner Vendor store data | |
| ETL / ELT to your warehouse | Load Amazon Selling Partner Vendor orders and metrics into your warehouse for revenue and cohort analytics. | Centralize Amazon Selling Partner Vendor alongside ad and CRM data in Snowflake, BigQuery, or Redshift, Backfill Amazon Selling Partner Vendor history for LTV and cohort analysis | |
| Activate audiences & retention | Push segments and modeled audiences built from Amazon Selling Partner Vendor data back into marketing and CRM platforms. | Sync high-value or at-risk customer segments from Amazon Selling Partner Vendor to ad and email platforms, Return modeled audiences to drive retention and win-back campaigns | |
| Files to storage & partners | Deliver raw or modeled Amazon Selling Partner Vendor extracts to object storage and partners. | Archive raw Amazon Selling Partner Vendor exports to S3, GCS, or Azure storage, Send scheduled Amazon Selling Partner Vendor extracts to partners or 3PLs over SFTP |
Claude
Snowflake
BigQuery
Amazon Redshift
PostgreSQL
Klaviyo
Meta
Google Ads
HubSpot
Google Cloud Storage
Azure Blob Storage
SFTP
Case Studies
See what commerce teams build with Dataddo
65,000 Social Media Accounts. One Platform. Zero Manual Authorizations.
Beauty & Consumer Goods
How Livesport Activates Data, Saves Engineering Resources with BigQuery and Dataddo
Entertainment
How ID&T Group Activates Data from 1M+ Festival Fans and Dozens of Social Accounts
Entertainment
How Sensire Accelerated Migration of a Proprietary On-Premise Data Infrastructure to the Cloud with Dataddo
Healthcare
How Ringside.ai Builds a Data Product Better and Faster Using Dataddo
Marketing
How Publicis Groupe Brasil Uses Dataddo's API to Scale a Data Product
Advertising
Pricing
Pick the plan that fits how you use your data.
Move data into your warehouse, lake or business apps with Data Anywhere, or let your AI assistants query it directly with Data to AI™. Need tailored contracts or volume pricing? Talk to us about Enterprise.
FAQ
Amazon Selling Partner Vendor as a source + Dataddo, answered
Where can I send Amazon Selling Partner Vendor data?
To any of Dataddo's 150+ destinations - warehouses like Snowflake and BigQuery, BI dashboards, marketing and CRM tools, object storage, and AI or vector stores - plus custom destinations on request.
Do I have to maintain the pipeline?
No. Dataddo is fully managed: we maintain the Amazon Selling Partner Vendor connector, adapt to API and schema changes, and alert you if anything needs attention. There is no pipeline code for you to write or fix.
Can I analyze customer lifetime value across my store data?
Yes. Dataddo loads full Amazon Selling Partner Vendor order and customer history into Snowflake, BigQuery, or Redshift, blended with your ad and CRM data, so LTV, cohort, and retention analysis works without manual exports.
What if Amazon Selling Partner Vendor changes their API?
That's on us, not you. Dataddo's team proactively tracks Amazon Selling Partner Vendor API and schema changes and updates the connector before they break your pipeline. Continuous monitoring watches every sync, and if anything needs attention you get an alert - so your Amazon Selling Partner Vendor data keeps flowing without you touching a thing.
Which Amazon Selling Partner Vendor data and fields are available?
The full Amazon Selling Partner Vendor data model - orders, line items, customers, products, refunds - not a fixed subset. If a field you need isn't exposed yet, we add it on request, usually at no extra cost.
How is my data secured?
Dataddo is SOC 2 Type II and ISO 27001 certified. Data is encrypted in transit and at rest, PII can be masked or hashed, and EU or US data residency is available. Self-host the data plane and payload data never leaves your network.
Will API rate limits be a problem?
Dataddo handles Amazon Selling Partner Vendor pagination, rate limits, and retries for you, and pulls incrementally on a schedule so you stay within API quotas without impacting your store.
Am I locked in?
No. Pipelines are source- and destination-agnostic - you can add or switch destinations without rebuilding, and data lands in native formats you own.