Supermetrics for BigQuery
Connect Instagram to BigQuery — Social Media Analytics at Scale
Warehouse your Instagram organic performance data in BigQuery. Track content performance, engagement trends, and follower growth over unlimited time ranges with SQL.
Why Connect Instagram to BigQuery?
Warehouse your Instagram data in BigQuery for unlimited historical analysis and cross-source SQL.
Unified social analytics in one project
Instagram, TikTok, YouTube, and Facebook data all land in the same BigQuery project. Compare Reels vs Shorts vs TikTok engagement in a single serverless SQL query — no data movement between platforms.
BigQuery ML engagement prediction
Train a model on your Instagram content history using BigQuery ML to predict which post formats, captions, and publish times will maximize reach — all in SQL, no Python notebooks needed.
Looker Studio social dashboards
BigQuery powers Looker Studio's fastest dashboards. Build an interactive content calendar view with engagement heatmaps, format breakdowns, and follower growth trends that update as new data arrives.
How to Connect Instagram 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.
Instagram Data Schema in BigQuery
Supermetrics creates and maintains clean, typed tables automatically. Here's what your Instagram data looks like in BigQuery.
Data Freshness & Scheduling
Instagram data typically available within 4-8 hours. Daily transfers recommended.
What Instagram Data Can You Pull into BigQuery?
Supermetrics gives BigQuery access to your full Instagram reporting data — metrics and dimensions you already know from the Instagram interface.
Key Metrics
- Views
- Reach
- Likes
- Comments
- Saves
- Shares
- Follower count
- Profile visits
- Story views
- Story replies
- Reel interactions
- Total interactions
Key Dimensions
- Media type
- Media product type
- Post caption
- Published date
- Day of week
- Post URL
- Media ID
- Account name
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 Instagram 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 Instagram data as you need without worrying about cost spikes.
Historical Depth
Access your full Instagram history — months or years of engagement data, follower growth, and content performance. No artificial date range restrictions.
Frequently Asked Questions
How do I connect Instagram to BigQuery with Supermetrics?
Log into the Supermetrics Hub, create a new data transfer, select Instagram as the source and BigQuery as the destination. Authorize your Instagram 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 Instagram data secure when transferring to BigQuery?
Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All Instagram credentials are encrypted at rest and in transit. Data flows directly from the Instagram 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 Instagram data with other sources in BigQuery?
That is one of the biggest advantages of warehousing your data. Once Instagram 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 Instagram metrics and dimensions are available in BigQuery?
All standard Instagram reporting fields are available, including Views, Reach, Likes, Comments, Saves, Shares, 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 Instagram 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.
Does it include Reels data?
Yes. Reels plays, likes, comments, shares, saves, and reach are all available.
Can I track follower growth over time?
Yes. Follower count is stored as a time-series metric for trend analysis.
Also Connect to BigQuery
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