Google Search Console
BigQuery

Sync Google Search Console to BigQuery automatically

Move Search Console performance into BigQuery for warehouse-style SEO analysis next to ads and revenue. Each tab becomes a repeatable load so you can track queries and pages over long horizons.

Overview: all destinations for Google Search Console

How SyncRange sends data

Connect, choose columns, schedule refreshes

  1. Connect securely so SyncRange can read your Google Search Console data using only the access your team approves.
  2. Pick export tabs and map them to BigQuery. Each tab becomes a worksheet, table, or file range you control.
  3. Run on demand or on a schedule; SyncRange handles pagination, retries, and headers so each refresh is predictable.

When spreadsheets are not enough, SyncRange loads Google Search Console into Google BigQuery. Tables inherit the column layout from your export tabs, so SQL models and dbt projects can depend on predictable names.

BigQuery becomes the place to join marketing, ecommerce, and finance sources, run large historical queries, and power BI tools that expect a warehouse instead of a sheet.

BigQuery

Export to BigQuery

Data Warehousing & Large-Scale Analytics

Send your Google Search Console data directly to Google BigQuery for enterprise-grade data warehousing. Build a central analytics repository, run SQL across massive datasets, and power large-scale reporting without managing pipelines or writing ETL code.

  • Data warehouse ready: Tables land in BigQuery for long-term storage and historical analysis
  • Large-scale analytics: Query billions of rows with SQL and join with other sources in your warehouse
  • BI & ML ready: Connect Looker Studio, Looker, or custom tools for dashboards and machine learning

Export schema

What we can export, and how it lands

Each row is a field you can include or omit in the app before export. Column headers match the labels below; SyncRange writes them as the first row in your destination (worksheets in Google Sheets or Excel, or BigQuery columns) when you choose BigQuery.

Dimensions (Search Console)

Each Search Console tab stores performance for your chosen property with these dimension options.

Columns
Search Query
Page URL
Device Type
Country
Search Appearance
Date
Metrics (Search Console)

Metrics available for Search Console exports.

Columns
Clicks
Impressions
CTR
Average Position
Date Exported

Social proof

Built for ecommerce teams and complex multi-brand operators

See how teams export clean ecommerce and marketing data to Google Sheets, Microsoft Excel, or BigQuery without manual work.

Jay

Jay R.

Large Online Retailer

★★★★★

We manage high-volume ecommerce data across multiple channels and needed clean exports into BigQuery without custom engineering overhead. SyncRange gave us reliable scheduled pipelines and immediate visibility by brand.

Emma

Emma L.

Multi-brand Shopify Plus Operator

★★★★★

We run multiple Shopify stores and needed brand-level exports into BigQuery without custom pipeline maintenance. SyncRange gave us reliable scheduled exports and removed hours of manual QA.

Ashley

Ashley R.

Shopify Store Founder

★★★★★

We were manually updating Google Sheets every morning with Shopify and ad data. It was slow and error-prone. Now everything updates automatically, and our daily profitability tracker is always accurate.

Dominik

Dominik S.

Shopify Store Founder

★★★★★

I almost hired developers to build custom Shopify-to-Sheets exports. Quotes were expensive and came with ongoing maintenance. SyncRange was a fraction of the cost and worked immediately without a long build project.

Documentation

Connect your account, then follow the configuration guide for your first export.

More exporters

Other data sources you can sync to BigQuery

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