Direct to BigQuery

Sync Amazon Seller Central to BigQuery in Under 5 Minutes

Sync Amazon Seller Central to BigQuery in Under 5 Minutes

Automatically sync order data from Amazon Seller Central directly into your own BigQuery project — purpose-built for marketing agencies and large marketing teams.

Automatically sync order data from Amazon Seller Central directly into your own BigQuery project — purpose-built for marketing agencies and large marketing teams.

Trusted by 1,000+ ad accounts • $700M+ managed spend • 99.9% uptime

Trusted by 1,000+ ad accounts • $700M+ managed spend • 99.9% uptime

DATA PIPELINE

Amazon Seller Central

Weavely

BigQuery

Looker Studio

Sheets

Own your data

Your Amazon Seller Central data lands directly in your BigQuery project — not ours.

Data ownership

You own your data

Warehouse-native setup

Connect to any BI tool

Historical backfills

Automatically included

Save time on reporting

Automated reporting

Client grouping

Organized by default

Data ownership

You own your data

Historical backfills

Automatically included

Client grouping

Organized by default

Warehouse-native setup

Connect to any BI tool

Save time on reporting

Automated reporting

Explore what you can export

Clean, structured exports designed for scalable agency reporting and data warehousing.

This is just a preview — explore the full dataset by creating a free account or booking a demo.

Orders

DIMENSIONS

ASIN
Amazon Order ID
Currency
Fulfillment Channel
Item Status
Last Updated Date
Marketplace ID
Merchant Order ID
Order Channel
Order Status
Price Designation
Product Name
Promotion IDs
Purchase Date
Purchase Order Number
SKU
Sales Channel
Selling Partner ID
Ship City
Ship Country
Ship Postal Code
Ship Service Level
Ship State
Timestamp

METRICS

Gift Wrap Price
Gift Wrap Tax
Is Amazon Invoiced
Is Business Order
Is IBA
Is Sold By AB
Item Price
Item Promotion Discount
Item Tax
Number Of Items
Quantity
Ship Promotion Discount
Shipping Price
Shipping Tax
VAT Exclusive Item Price
VAT Exclusive Shipping Price

From account to warehouse in minutes

Step 1

Connect Amazon Seller Central

Secure OAuth authentication

Step 2

Link BigQuery

Select your GCP project

Step 3

Enable exports

Choose your tables

Step 4

Data flows

Automated syncs

Built differently from the start

Feature

Weavely

Typical Connector

Data Storage

Your BigQuery

Vendor-owned

Pricing Model

Flat per ad account

Confusing & expensive

Historical Data

Included

Often add-on

Setup Time

Under 1 hour

Days or weeks

Multi-Client Management

Under 1 hour

Built for single brands

Weavely vs Supermetrics

Supermetrics is powerful for spreadsheet exports and dashboard connectors. Weavely is built for warehouse-native agencies.

Weavely

Direct BigQuery export

Flat per-account pricing

Agency-native architecture

No row-based billing traps

Multi-client structure built-in

Supermetrics

Often per-destination pricing

Volume-based billing

Primarily dashboard-focused

Data often routed through vendor infrastructure

If you're building a scalable agency data warehouse, Weavely is purpose-built for that workflow.

Weavely vs Funnel

Funnel is powerful for centralized reporting and managed transformations. Weavely is built for agencies that want direct control of their data inside BigQuery.

Weavely is

Purpose-built for marketing data

Built for BigQuery from day one

Optimized for agency client structures

Predictable, usage-based pricing

Fast to deploy and scale

Funnel often:

Acts as a reporting layer, not a warehouse

Charges per data volume or workspace

Stores data outside your own BigQuery project

Adds unnecessary transformation layers

Becomes expensive as agencies grow

If you're building a scalable agency data warehouse — not just a reporting layer — Weavely is purpose-built for that workflow.

Technical FAQs

How often does data sync?

Data syncs automatically on a scheduled basis. Most agency accounts sync multiple times per day. Sync frequency can be configured depending on reporting needs.

Does the data land in Weavely's warehouse?

No. Data is exported directly into your BigQuery project. Weavely does not act as a long-term storage layer for your reporting data.

Is historical backfill included?

Yes. On setup, Weavely pulls historical Meta Ads data so you can start with a complete performance dataset.

Do you support attribution windows?

Yes. Because data is structured inside your BigQuery project, you can join it with GA4, CRM, Shopify, or custom datasets for full-funnel analysis.

How do you handle schema changes?

Weavely monitors platform API changes and updates export schemas automatically to ensure continuity and minimal disruption.

Ready to scale without reporting chaos?

Stop losing time to broken connectors. Build infrastructure that scales with your agency.

Ready to scale without reporting chaos?

Stop losing time to broken connectors. Build infrastructure that scales with your agency.

Ready to scale without reporting chaos?

Stop losing time to broken connectors. Build infrastructure that scales with your agency.