Direct to BigQuery

Sync Google Merchant Center to BigQuery in Under 5 Minutes

Sync Google Merchant Center to BigQuery in Under 5 Minutes

Automatically sync product performance, account performance, non-product performance, and daily product catalogue and approval status data from Google Merchant Center directly into your own BigQuery project — purpose-built for marketing agencies and large marketing teams.

Automatically sync product performance, account performance, non-product performance, and daily product catalogue and approval status data from Google Merchant Center 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

Google Merchant Center

Weavely

BigQuery

Looker Studio

Sheets

Own your data

Your Google Merchant Center 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.

Product Performance

DIMENSIONS

Account ID
Account Name
Brand
Category L1
Category L2
Custom Label 0-4
Customer Country Code
Date
Marketing Method
Offer ID
Product Type L1
Title

METRICS

Clicks
Conversion Rate (free listings)
Conversion Value (free listings)
Conversions (free listings)
CTR
Impressions

Account Performance

DIMENSIONS

Account ID
Account Name
Date
Marketing Method
Store Type

METRICS

Clicks
Conversion Rate (free listings)
Conversion Value (free listings)
Conversions (free listings)
CTR
Impressions

Non-product Performance

DIMENSIONS

Account ID
Account Name
Date

METRICS

Clicks
CTR
Impressions

Products

DIMENSIONS

Account ID
Account Name
Aggregated Status
Approved / Disapproved / Pending Countries
Availability
Brand
Category L1-L3
Channel
Click Potential
Condition
Creation Time
Date (snapshot day)
Expiration Date
Feed Label
GTIN
Item Group ID
Item Issue Codes
Item Issue Severity
Language Code
Offer ID
Price Currency
Product ID
Product Type L1-L2
Shipping Label
Title

METRICS

Click Potential Rank
Item Issue Count
Price

From account to warehouse in minutes

Step 1

Connect Google Merchant Center

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 Google Merchant Center 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.