Pinterest Ads to Google BigQuery integration
Connect Pinterest Ads to Google BigQuery and automatically sync your advertising platform data. Weld extracts data from Pinterest Ads, loads it into Google BigQuery, and lets you transform the data using SQL or dbt, no custom scripts required.
Source
WarehouseSourcePinterest AdsConnected- ad17 cols
- campaign15 cols
- ad_group23 cols
- ad_account7 cols
- ad_group_report49 cols
- ad_account_report54 cols
- Extract
- Load
- Keep in sync
DestinationGoogle BigQueryReady- pinterest_ads.adSynced
- pinterest_ads.campaignSyncing
- pinterest_ads.ad_groupSynced
- pinterest_ads.ad_accountSynced
- pinterest_ads.ad_group_reportSynced
- pinterest_ads.ad_account_reportSynced
- Pinterest Ads tables
- 15
- fields, typed
- 473
- relationships kept
- 21
- agent context included
- MCP
Trusted by data and AI teams
How to set up Pinterest Ads to Google BigQuery in Weld.
In the app, with the API or an agent.
New connectionPinterest AdsAuthorisedWhy sync Pinterest Ads to Google BigQuery?
Ready for analysis.
Centralizing your Pinterest Ads 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 Pinterest Ads data directly in Google BigQuery using SQL or your preferred BI tool.
Cross-channel ad performance
Consolidate Pinterest Ads campaign data in Google BigQuery alongside other ad platforms. Compare ROAS, CPA, and conversion rates in a single dashboard.
Centralized data warehouse
Bring Pinterest Ads 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 Pinterest Ads to Google BigQuery. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every Pinterest Ads table, keys intact.
Weld syncs the objects the Pinterest Ads connector exposes into Google BigQuery, and you choose which tables and fields to include. The connector's docs list what is available.
- ad
- campaign
- ad_group
- ad_account
- ad_group_report
- ad_account_report
- ad_report
- campaign_report
- pin
- product_group
- board
- ad_account_country_report
- campaign_country_report
- ad_group_country_report
- keyword
Ask your agent.
It queries Google BigQuery for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Pinterest Ads context, finds the tables it needs and runs the query in Google BigQuery.
How many ad rows do we have per ad_group? Use our Pinterest Ads data in Google BigQuery.
Reading the Pinterest Ads 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 Pinterest Ads API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If Pinterest Ads 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.
Pinterest Ads setup guide
How to connect Pinterest Ads to Weld, step by step.
DocumentationGoogle BigQuery setup guide
How to connect Google BigQuery to Weld, step by step.
SchemaPinterest Ads schema explorer
Browse all 15 tables and 473 fields.
ConnectorPinterest Ads connector
Everything Weld does with Pinterest Ads.
Common questions.
About Pinterest Ads to Google BigQuery.
Start syncing Pinterest Ads to Google BigQuery.
Set up your Pinterest Ads data pipeline in minutes. No credit card required. Free for 14 days.
SourceWarehouse
