Supermetrics for BigQuery
Connect Semrush to BigQuery — SEO Intelligence at Warehouse Scale
Move your Semrush keyword rankings, domain analytics, and competitive data into BigQuery for historical trend analysis and cross-source SEO reporting.
Why Connect Semrush to BigQuery?
Warehouse your Semrush data in BigQuery for unlimited historical analysis and cross-source SQL.
Historical ranking trends
Track keyword position changes over unlimited time ranges and correlate with content or algorithm updates.
Competitive gap analysis
Compare your domain visibility against competitors in BigQuery with SQL-powered share of voice reports.
SEO + paid synergy
JOIN Semrush organic data with Google Ads spend to find cannibalization and coverage gaps.
How to Connect Semrush to BigQuery
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select your data source and BigQuery as your destination.
- 2
Authorize and configure
Connect your data source account, choose your BigQuery project and dataset, and select the data you want to transfer.
- 3
Set schedule and start transfer
Choose your refresh frequency (hourly, daily, or weekly) and click Start. Your data begins flowing into BigQuery automatically.
Semrush Data Schema in BigQuery
Supermetrics creates and maintains clean, typed tables automatically. Here's what your Semrush data looks like in BigQuery.
Data Freshness & Scheduling
Semrush data typically available within 12-24 hours. Daily transfers recommended.
What Semrush Data Can You Pull into BigQuery?
Supermetrics gives BigQuery access to your full Semrush reporting data — metrics and dimensions you already know from the Semrush interface.
Key Metrics
- Organic keywords
- Organic traffic
- Organic cost
- Adwords keywords
- Adwords traffic
- Adwords cost
- Interest over time
- CPC
- Competition
- Position difference
- Traffic (%)
- Traffic cost (%)
Key Dimensions
- Domain
- Keyword
- Position
- Previous position
- URL
- Database
- Trends
Resources & Guides
Why Supermetrics for BigQuery?
Purpose-built for marketing data since 2009. 200,000+ companies trust Supermetrics to move 15% of global ad spend into reporting and analytics destinations.
No Vendor Lock-In
Your data lands in BigQuery — infrastructure you own and control. Use any BI tool, any transformation layer, any ML platform. If you ever switch providers, your data and dashboards stay with you.
170+ Marketing Data Sources
Purpose-built for marketing data — not a generic ETL tool. Supermetrics covers 99% of metrics and dimensions from each source, with pre-structured tables ready for analysis. No transformation layer required.
Incremental Loading
Only new and updated Semrush records are transferred on each run — efficient, cost-effective, and fast. Full historical backfill available on demand.
Your Data, Your Infrastructure
Supermetrics moves data directly to your destination — nothing is stored on our servers. SOC 2 Type II certified, GDPR and CCPA compliant. Your data stays in infrastructure you control, simplifying privacy and compliance reviews.
Flat-Rate, Predictable Pricing
Fixed annual pricing regardless of data volume — no per-row charges, no surprise bills during peak campaign seasons. Transfer as much Semrush data as you need without worrying about cost spikes.
Unsampled Data
Get your complete Semrush dataset without sampling. Every session, every keyword, every page — full-fidelity data for accurate analysis.
Frequently Asked Questions
How do I connect Semrush to BigQuery with Supermetrics?
Log into the Supermetrics Hub, create a new data transfer, select Semrush as the source and BigQuery as the destination. Authorize your Semrush account, choose your BigQuery project and dataset, pick the fields you want, set a schedule, and start the transfer. No code or SQL knowledge required — Supermetrics creates and manages the tables automatically.
Is my Semrush data secure when transferring to BigQuery?
Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All Semrush credentials are encrypted at rest and in transit. Data flows directly from the Semrush API to your own BigQuery project — Supermetrics does not store your marketing data on its servers. Your BigQuery IAM policies control who can access the tables.
Can I combine Semrush data with other sources in BigQuery?
That is one of the biggest advantages of warehousing your data. Once Semrush lands in BigQuery, you can JOIN it with any other table — GA4 sessions, CRM deals, revenue data, other ad platforms — using standard SQL. Supermetrics supports 170+ data sources, and they all land in the same BigQuery project for easy cross-source analysis.
What Semrush metrics and dimensions are available in BigQuery?
All standard Semrush reporting fields are available, including Organic keywords, Organic traffic, Organic cost, Adwords keywords, Adwords traffic, Adwords cost, and many more. You select exactly which metrics and dimensions to transfer during setup, and you can add or remove fields at any time without losing historical data.
How fresh is Semrush data in BigQuery?
Data freshness depends on your transfer schedule. You can run transfers hourly, daily, or weekly. Most users schedule daily transfers so yesterday's complete data is ready each morning. Supermetrics uses incremental loading — only new and updated records are transferred — so even large accounts refresh quickly.
Can I track competitor rankings?
Yes. Semrush domain analytics covers any domain you track, enabling competitor position comparison in BigQuery.
Does it include backlink data?
Available metrics and dimensions follow the Semrush API. Domain analytics, keyword, and traffic data are all supported.
Also Connect to BigQuery
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Join 200,000+ companies that use Supermetrics to connect their marketing data. Set up in under two minutes.