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ShipHero to Google BigQuery integration

Connect ShipHero to Google BigQuery and automatically sync your ecommerce platform data. Weld extracts data from ShipHero, loads it into Google BigQuery, and lets you transform the data using SQL or dbt, no custom scripts required.

Start for freeView setup guide
4.8 on G2
ShipHeroSource
WeldWeld
Google BigQueryWarehouse
Weld · New sync
ShipHeroSourceShipHeroConnected
Tables to sync
  • order59 cols
  • location24 cols
  • vendor20 cols
  • product35 cols
  • purchase_order_line_item25 cols
  • shipment24 cols
  • Extract
  • Load
  • Keep in sync
Google BigQueryDestinationGoogle BigQueryReady
shiphero dataset
  • shiphero.orderSynced
  • shiphero.locationSyncing
  • shiphero.vendorSynced
  • shiphero.productSynced
  • shiphero.purchase_order_line_itemSynced
  • shiphero.shipmentSynced
ShipHero tables
50
fields, typed
763
relationships kept
21
agent context included
MCP

Trusted by data and AI teams

  • Flatpay
  • Holafly
  • eComplete
  • Dishoom
  • Danish Endurance
  • Female Invest
  • Son of a Tailor
  • Onomondo
  • Medik8
  • Pas Normal Studios
How it works

How to set up ShipHero to Google BigQuery in Weld.
In the app, with the API or an agent.

Setup guideAPI guideMCP docs
Weld · New ShipHero sync
ShipHeroNew connectionShipHeroAuthorised
Connection nameshiphero
AuthorizeOpens ShipHero to grant read access
Use cases

Why sync ShipHero to Google BigQuery?
Ready for analysis.

Centralizing your ShipHero data in Google BigQuery lets you join it with other data sources for cross-platform analytics and deeper insights.

Build reliable dashboards and reports by querying ShipHero data directly in Google BigQuery using SQL or your preferred BI tool.

  • Revenue and order analytics

    Track orders, products, and customer behavior from ShipHero in Google BigQuery. Build cohort analyses, LTV models, and inventory forecasting.

  • Centralized data warehouse

    Bring ShipHero data into Google BigQuery alongside other sources to create a single source of truth for your organization.

  • Automated reporting

    Replace manual exports and spreadsheet-based reporting with automated pipelines from ShipHero to Google BigQuery. Connect BI tools like Looker, Metabase, or Power BI.

Schema

What data can you sync?
Every ShipHero table, keys intact.

Weld syncs the objects the ShipHero connector exposes into Google BigQuery, and you choose which tables and fields to include. The connector's docs list what is available.

Open the schema explorer
All 50 tables
  • order
  • location
  • vendor
  • product
  • purchase_order_line_item
  • shipment
  • wholesale_order
  • pick_per_day
  • inventory_change
  • pack_per_day
  • shipment_shipping_label
  • order_rma_label
  • purchase_order
  • return
  • return_line_item
  • warehouse_product_inbound
  • order_line_item_tote_pick
  • product_vendor
  • warehouse_location
  • expiration_lot_location
  • warehouse_product
  • order_line_item
  • return_label
  • order_shipping_address
  • order_billing_address
  • wholesale_order_shipping_details
  • purchase_order_attachment
  • expiration_lot
  • order_allocation_line_item
  • order_attachment
  • and 20 more
Weld MCP server

Ask your agent.
It queries Google BigQuery for you.

Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the ShipHero context, finds the tables it needs and runs the query in Google BigQuery.

Set up the MCP serverClaudeCursorChatGPTGemini
Claude CodeOpus 5
>

How many order rows do we have per wholesale_order? Use our ShipHero data in Google BigQuery.

Reading the ShipHero context first, so the query uses the right tables and keys.

●weld·search_available_references
⎿raw.shiphero.order
raw.shiphero.wholesale_order
+ 48 more ShipHero tables
●weld·get_reference_schema
⎿order · 59 columns
joins wholesale_order on wholesale_order_id
●weld·run_query
⎿select w.id, count(*) from {{raw.shiphero.order}} o
join {{raw.shiphero.wholesale_order}} w on o.wholesale_order_id = w.id
group by 1
submitted
●weld·get_query_status
⎿DONE
●weld·get_query_result
⎿rows returned
✓Answered from ShipHero data in Google BigQuery
>Ask about your ShipHero data
Under the hood

Technical considerations.
What to expect.

Incremental syncing
Weld uses incremental syncing where supported by the ShipHero API, loading only new and updated records to minimize data transfer and warehouse costs.
Schema handling
Weld automatically manages schema changes. If ShipHero adds new fields, they're detected and added to the corresponding Google BigQuery tables.
Data freshness
Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
Security
All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
Resources

Keep reading.
Guides, docs and schema.

Documentation

ShipHero setup guide

How to connect ShipHero to Weld, step by step.

Documentation

Google BigQuery setup guide

How to connect Google BigQuery to Weld, step by step.

Schema

ShipHero schema explorer

Browse all 50 tables and 763 fields.

Connector

ShipHero connector

Everything Weld does with ShipHero.

FAQ

Common questions.
About ShipHero to Google BigQuery.

Start syncing ShipHero to Google BigQuery.

Set up your ShipHero data pipeline in minutes. No credit card required. Free for 14 days.

ShipHeroSource
WeldWeld
Google BigQueryWarehouse
Start for freeTalk to us
Related

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