Recurly to Google BigQuery integration
Connect Recurly to Google BigQuery and automatically sync your finance & accounting data. Weld extracts data from Recurly, loads it into Google BigQuery, and lets you transform the data using SQL or dbt, no custom scripts required.
Source
WarehouseSourceRecurlyConnected- account34 cols
- subscription48 cols
- invoice_line_item52 cols
- invoice46 cols
- plan31 cols
- dunning_campaign9 cols
- Extract
- Load
- Keep in sync
DestinationGoogle BigQueryReady- recurly.accountSynced
- recurly.subscriptionSyncing
- recurly.invoice_line_itemSynced
- recurly.invoiceSynced
- recurly.planSynced
- recurly.dunning_campaignSynced
- Recurly tables
- 41
- fields, typed
- 804
- relationships kept
- 51
- agent context included
- MCP
Trusted by data and AI teams
How to set up Recurly to Google BigQuery in Weld.
In the app, with the API or an agent.
New connectionRecurlyAuthorisedWhy sync Recurly to Google BigQuery?
Ready for analysis.
Centralizing your Recurly 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 Recurly data directly in Google BigQuery using SQL or your preferred BI tool.
Financial reporting
Centralize financial data from Recurly in Google BigQuery for automated financial dashboards and month-end close analysis.
Centralized data warehouse
Bring Recurly 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 Recurly to Google BigQuery. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every Recurly table, keys intact.
Weld syncs the objects the Recurly connector exposes into Google BigQuery, and you choose which tables and fields to include. The connector's docs list what is available.
- account
- subscription
- invoice_line_item
- invoice
- plan
- dunning_campaign
- subscription_history
- billing_info
- shipping_address
- coupon_redemption
- invoice_history
- add_on
- coupon
- item
- invoice_line_item_discount
- account_history
- transaction
- shipping_method
- plan_history
- subscription_add_on
- credit_payment
- account_acquisition
- subscription_ramp_interval
- coupon_item
- subscription_coupon_redemption
- account_note
- coupon_plan
- invoice_coupon_redemption
- invoice_subscription
- transaction_subscription
- and 11 more
Ask your agent.
It queries Google BigQuery for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Recurly context, finds the tables it needs and runs the query in Google BigQuery.
How many account rows do we have per dunning_campaign? Use our Recurly data in Google BigQuery.
Reading the Recurly context first, so the query uses the right tables and keys.
Technical considerations.
What to expect.
- Incremental syncing
- Weld uses incremental syncing where supported by the Recurly API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If Recurly 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.
Keep reading.
Guides, docs and schema.
Common questions.
About Recurly to Google BigQuery.
Start syncing Recurly to Google BigQuery.
Set up your Recurly data pipeline in minutes. No credit card required. Free for 14 days.
SourceWarehouse
