Amazon Advertising to Google BigQuery integration

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

4.8 on G2
Amazon AdvertisingSource
WeldWeld
Google BigQueryWarehouse
Weld · New sync
Amazon AdvertisingSourceAmazon AdvertisingConnected
Tables to sync
  • profile12 cols
  • portfolio14 cols
  • sponsored_product_search_term_keyword_report_v355 cols
  • sponsored_product_search_term_target_report_v355 cols
  • sponsored_product_keyword_report_v353 cols
  • sponsored_product_target_report_v353 cols
  • Extract
  • Load
  • Keep in sync
Google BigQueryDestinationGoogle BigQueryReady
amazon_ads dataset
  • amazon_ads.profileSynced
  • amazon_ads.portfolioSyncing
  • amazon_ads.sponsored_product_search_term_keyword_report_v3Synced
  • amazon_ads.sponsored_product_search_term_target_report_v3Synced
  • amazon_ads.sponsored_product_keyword_report_v3Synced
  • amazon_ads.sponsored_product_target_report_v3Synced
Amazon Advertising tables
56
fields, typed
1,970
agent context included
MCP

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How it works

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

Weld · New Amazon Advertising sync
Amazon AdvertisingNew connectionAmazon AdvertisingAuthorised
Connection nameamazon_ads
AuthorizeOpens Amazon Advertising to grant read access
Use cases

Why sync Amazon Advertising to Google BigQuery?
Ready for analysis.

Centralizing your Amazon Advertising 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 Amazon Advertising data directly in Google BigQuery using SQL or your preferred BI tool.

  • Cross-channel ad performance

    Consolidate Amazon Advertising campaign data in Google BigQuery alongside other ad platforms. Compare ROAS, CPA, and conversion rates in a single dashboard.

  • Centralized data warehouse

    Bring Amazon Advertising 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 Amazon Advertising to Google BigQuery. Connect BI tools like Looker, Metabase, or Power BI.

Schema

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

Weld syncs the objects the Amazon Advertising 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 56 tables
  • profile
  • portfolio
  • sponsored_product_search_term_keyword_report_v3
  • sponsored_product_search_term_target_report_v3
  • sponsored_product_keyword_report_v3
  • sponsored_product_target_report_v3
  • sponsored_product_product_ad_report_v3
  • sponsored_product_purchased_product_report_v3
  • sponsored_product_campaign
  • sponsored_display_campaign
  • sponsored_display_product_ad_report_v3
  • sponsored_display_target_report_v3
  • sponsored_display_campaign_report_v3
  • sponsored_display_target_matched_target_report_v3
  • sponsored_display_ad_group_report_v3
  • sponsored_product_ad_group_report_v3
  • sponsored_product_placement_report_v3
  • sponsored_brand_ad_report
  • sponsored_product_campaign_report_v3
  • sponsored_brand_ad_group_video_report
  • sponsored_brand_keyword_report
  • sponsored_brand_campaign_video_report
  • sponsored_brand_target_report
  • sponsored_brand_placement_report
  • sponsored_brand_campaign_report
  • sponsored_brand_ad_group_report
  • sponsored_display_purchased_product_report_v3
  • sponsored_brand_keyword_search_term_report
  • billing
  • sponsored_brand_campaign_export
  • and 26 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 Amazon Advertising context, finds the tables it needs and runs the query in Google BigQuery.

Claude CodeOpus 5
>

How many profile rows do we have per profile? Use our Amazon Advertising data in Google BigQuery.

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

●weld·search_available_references
⎿raw.amazon_ads.profile
raw.amazon_ads.profile
+ 54 more Amazon Advertising tables
●weld·get_reference_schema
⎿profile · 12 columns
joins profile on profile_id
●weld·run_query
⎿select j.id, count(*) from {{raw.amazon_ads.profile}} p
join {{raw.amazon_ads.profile}} j on p.profile_id = j.id
group by 1
submitted
●weld·get_query_status
⎿DONE
●weld·get_query_result
⎿rows returned
✓Answered from Amazon Advertising data in Google BigQuery
>Ask about your Amazon Advertising data
Under the hood

Technical considerations.
What to expect.

Incremental syncing
Weld uses incremental syncing where supported by the Amazon Advertising API, loading only new and updated records to minimize data transfer and warehouse costs.
Schema handling
Weld automatically manages schema changes. If Amazon Advertising 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.
FAQ

Common questions.
About Amazon Advertising to Google BigQuery.

Start syncing Amazon Advertising to Google BigQuery.

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

Amazon AdvertisingSource
WeldWeld
Google BigQueryWarehouse