No-code pipeline · Instagram Ads → BigQuery

Send data from Instagram Ads to BigQuery

Get started for free

No credit card required | 14 days | 10 million records | 30 pipelines

or sign up with your email

By signing up, you agree to Kondado’s Terms of service and Privacy policy

From Instagram Ads to BigQuery: managed, scheduled, no code.

Kondado provides a direct integration between Instagram Ads and BigQuery, replicating 14 data pipelines including Campaign Performance, Ad Set Performance, and Lead Forms on a configurable schedule ranging from every 5 minutes to daily.

Connect Instagram Ads now →

Send Instagram Ads Data to BigQuery

To send your Instagram Ads data to BigQuery, connect your Meta advertising account to Kondado and select BigQuery as your destination warehouse. The platform replicates your campaign metrics, audience insights, and performance indicators automatically on a configurable schedule, eliminating manual CSV exports and API maintenance. Within minutes, your advertising data flows into BigQuery as structured datasets ready for complex analysis and reporting across your organization.

Once configured, you can combine Instagram Ads data with other marketing sources in BigQuery to build comprehensive attribution models and unified dashboards. Marketing teams query this centralized data to optimize budget allocation, while analysts create automated workflows that refresh reports and alert stakeholders to performance anomalies without requiring engineering resources.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

With Kondado’s Instagram Ads pipelines, you unlock granular visibility into your advertising operations. The Campaign Performance pipeline delivers impressions, clicks, and cost-per-result metrics that enable ROAS calculations and budget optimization directly within BigQuery. Meanwhile, the Lead Forms pipeline captures conversion data and collected field information, allowing you to analyze funnel effectiveness alongside CRM data.

Agency analysts can leverage the Ad Set Performance and Page: Posts pipelines to correlate creative elements with engagement rates, building custom attribution models that track how specific Instagram content drives downstream revenue. By querying these datasets in BigQuery, you create automated workflows that refresh marketing reports and alert stakeholders to performance anomalies without manual intervention.

Try out all the features for free for 14 days

Replicated to BigQuery

Instagram Ads data available for BigQuery

Tables Kondado writes into your BigQuery, on a schedule you control.

available pipelines

1569

extractable fields

BigQuery

Destination

Available integrations

Ad account performance

Analyze account performance with metrics such as total spend, account status, and age of the account.

Ad accounts

View details of ad accounts, including name, account ID, and status.

Ad metadata

Explore ad metadata, including ad ID, account ID, and ad set name.

Ad performance

Evaluate ad performance with metrics such as impressions, clicks, and cost per click.

Ad preview

View ad previews, including creative elements and targeting settings.

Ad set performance

Analyze ad set performance with metrics such as impressions, clicks, and total cost.

Adset metadata

Examine ad set metadata, including ad set ID and name.

Campaign metadata

View campaign metadata, including campaign ID and name.

Campaign performance

Evaluate campaign performance with metrics such as impressions, clicks, and cost per result.

Lead forms

Analyze lead forms, including collected data and conversion rate.

Page Metrics

Analyze impressions, clicks, and total cost, along with metrics such as engagement rate and page reach.

Page: Posts

Examine post performance with metrics such as likes, comments, and shares, along with data on reach and impressions.

Pages

View information about your pages, including name, ID, and status, along with financial data such as balance and total spend.

Post Metrics

Evaluate post performance with metrics such as clicks, cost per click, and click-through rate, along with impressions and reach.

See all available data → Send Instagram Ads to BigQuery →

Try out all the features for free for 14 days

How to send Instagram Ads data to BigQuery

Sync data automatically — no code, no manual exports.

Connect Instagram Ads

Authenticate your Meta Business account through Kondado's interface to establish access to your advertising data. Select Instagram Ads as your data source and authorize the required permissions for campaign and performance metrics.

Configure BigQuery

Enter your Google Cloud Project ID and dataset name to designate where Kondado will load your advertising data. The platform creates the necessary schema automatically in BigQuery, preparing storage for the 14 available pipelines.

Select Pipelines and Schedule

Choose which Instagram Ads pipelines to replicate, such as Campaign Performance or Lead Forms, then set your update frequency. You can configure automated updates to run every 5 minutes, hourly, or daily based on your analytics requirements.

Try out all the features for free for 14 days

Hundreds of data-driven companies trust Kondado

Why Kondado?

Focus on extracting value from your data and leave the rest to us

Wherever you need

With the same platform, you send data to AI (Claude/ChatGPT via MCP), reports, spreadsheets, databases, data warehouses, and data lakes. ETL and ELT

Learn More About Our Platform →

From wherever you need

Data from over 80 sources for Marketing, Ecommerce, ERPs, Customer Service, Finance, Databases, and much more

Learn More About Our Data Sources →

Predictable pricing

No surprise invoices, pick a plan and change it anytime

Check out our plans →

Send data from Instagram Ads to other destinations

Instagram Ads > Looker Studio

Instagram Ads > Power BI

Other visualizations

Instagram Ads > Amazon S3

Instagram Ads > BigQuery

Instagram Ads > Excel

Instagram Ads > Google Sheets

Instagram Ads > MySQL

Instagram Ads > PostgreSQL

Instagram Ads > Redshift

Instagram Ads > SQL Server

Choose a tool to visualize your Instagram Ads data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Instagram Ads > Airtable

Instagram Ads > Alteryx

Instagram Ads > Amazon Quicksight

Instagram Ads > BIMachine

Instagram Ads > Cortex

Instagram Ads > Data Studio

Instagram Ads > Geckoboard

Instagram Ads > Grafana

Instagram Ads > IBM Cognos Analytics

Instagram Ads > Klipfolio

Instagram Ads > Looker Studio

Instagram Ads > Looker

Instagram Ads > Looqbox

Instagram Ads > Metabase

Instagram Ads > Microstrategy

Instagram Ads > Pentaho

Instagram Ads > Power BI

Instagram Ads > Qlik Cloud Analytics

Instagram Ads > Qlik Sense

Instagram Ads > Qlik

Instagram Ads > QlikView

Instagram Ads > Redash

Instagram Ads > Superset

Instagram Ads > Tableau

Instagram Ads > BI TOTVS

Instagram Ads > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Instagram Ads data to BigQuery automatically

How does Kondado replicate Instagram Ads data to BigQuery? ▼

Kondado connects directly to your Meta Business account using OAuth authentication to extract advertising metrics. The platform replicates 14 distinct pipelines containing 1,569 fields, including campaign metadata, ad performance, and page insights, loading them into your BigQuery dataset on your chosen schedule.

What Instagram Ads metrics can I analyze in BigQuery? ▼

You can analyze granular metrics from pipelines such as Ad Performance, which includes impressions, clicks, and cost per click, alongside Lead Forms data showing conversion rates and collected user information. The Post Metrics pipeline also provides engagement data including likes, comments, and shares for comprehensive content analysis.

How often does Instagram Ads data update in BigQuery? ▼

Kondado updates your data on a configurable schedule that you control, ranging from every 5 minutes to daily intervals. This near-real-time replication ensures your BigQuery tables reflect recent campaign activity without the delays associated with manual reporting exports.

Does Kondado offer pre-built dashboards for Instagram Ads data? ▼

Yes, Kondado provides ready-made report templates including the Meta Ads Looker Studio Report and Meta Ads Power BI Report, which visualize your replicated Instagram Ads data immediately. These templates connect directly to your BigQuery destination, enabling instant insights without building visualizations from scratch.

Can I combine Instagram Ads data with other marketing platforms in BigQuery? ▼

Absolutely, you can replicate data from additional sources like Instagram Ads, Google Ads, and Shopify into the same BigQuery project. This allows you to join datasets using SQL queries to create unified attribution models that track customer journeys across multiple touchpoints.

What data format does Instagram Ads use when loaded into BigQuery? ▼

Kondado loads your Instagram Ads data as structured tables with preserved data types, including timestamps, numeric metrics, and string fields for campaign names and IDs. Each pipeline becomes a separate table in your BigQuery dataset, maintaining relational integrity between campaigns, ad sets, and individual advertisements.

Do I need coding skills to set up Instagram Ads to BigQuery replication? ▼

No coding is required to establish the connection, as Kondado provides a no-code interface for authenticating your Meta account and selecting pipelines. You configure the replication schedule and destination through a visual interface, with BigQuery credentials connecting via standard API authentication methods.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days