Supermetrics for BigQuery
Connect Google Trends to BigQuery — Search Interest Data at Warehouse Scale
Warehouse Google Trends search interest scores, regional data, and related queries in BigQuery for market research and trend-powered content strategy.
Why Connect Google Trends to BigQuery?
Warehouse your Google Trends data in BigQuery for unlimited historical analysis and cross-source SQL.
Trend-powered content planning
Track search interest over time for your topics and schedule content around rising trends.
Regional demand analysis
Map search interest by region, DMA, and city to guide geo-targeted campaigns and local SEO.
Competitive search comparison
Compare brand and category search interest trends to measure share of search against competitors.
How to Connect Google Trends 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.
Google Trends Data Schema in BigQuery
Supermetrics creates and maintains clean, typed tables automatically. Here's what your Google Trends data looks like in BigQuery.
Data Freshness & Scheduling
Google Trends data typically reflects a 24-72 hour delay. Weekly transfers recommended for trend analysis.
What Google Trends Data Can You Pull into BigQuery?
Supermetrics gives BigQuery access to your full Google Trends reporting data — metrics and dimensions you already know from the Google Trends interface.
Key Metrics
- Interest (0-100 score)
- Interest over time
- Interest by region
- Interest by city
- Interest by DMA
- Related query interest
- Topic interest
- Trending search interest
Key Dimensions
- Search term
- Country
- Region
- DMA
- City
- Related query
- Topic title
- Topic type
- Date
- Hour
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 Google Trends 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 Google Trends data as you need without worrying about cost spikes.
Unsampled Data
Get your complete Google Trends dataset without sampling. Every session, every keyword, every page — full-fidelity data for accurate analysis.
Frequently Asked Questions
How do I connect Google Trends to BigQuery with Supermetrics?
Log into the Supermetrics Hub, create a new data transfer, select Google Trends as the source and BigQuery as the destination. Authorize your Google Trends 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 Google Trends data secure when transferring to BigQuery?
Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All Google Trends credentials are encrypted at rest and in transit. Data flows directly from the Google Trends 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 Google Trends data with other sources in BigQuery?
That is one of the biggest advantages of warehousing your data. Once Google Trends 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 Google Trends metrics and dimensions are available in BigQuery?
All standard Google Trends reporting fields are available, including Interest (0-100 score), Interest over time, Interest by region, Interest by city, Interest by DMA, Related query interest, 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 Google Trends 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.
What does the 0-100 interest score mean?
Google Trends normalizes search interest relative to the peak popularity. 100 is peak interest for the time range and region selected.
Can I track trends by city?
Yes. Interest by city, region, and DMA are available for granular geographic analysis.
Also Connect to BigQuery
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