No-code pipeline · Instagram → BigQuery

Send data from Instagram 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 to BigQuery: managed, scheduled, no code.

Creating a pipeline that sends data from Instagram to BigQuery data warehouses takes only a few minutes with Kondado. And the whole integration from Instagram to BigQuery is managed and executed by our platform. With Kondado, you can focus on extracting value from Instagram data and combining it with other data in your BigQuery data warehouse

Connect Instagram now →

Instagram to BigQuery: Automated Data Replication

Sending Instagram data to BigQuery requires no engineering effort when using Kondado’s automated replication platform. Simply authenticate your Instagram business account as a data source, configure BigQuery as your destination, and select from seven available data pipelines containing 83 fields of social media metrics. Kondado manages the entire data extraction and loading process, allowing marketing analysts and data teams to focus on insights rather than API maintenance.

Once configured, your Instagram metrics flow continuously into BigQuery where they can be combined with CRM data, advertising spend, or sales figures for comprehensive cross-channel analysis. This Instagram BigQuery pipeline eliminates manual CSV exports and ensures your social media analytics stay synchronized with other business intelligence sources, providing a complete view of marketing performance.

Kondado provides a direct connection between Instagram and BigQuery, offering 7 data pipelines with 83 fields including audience demographics, media performance, and third-party profile analytics. The platform replicates Instagram data to BigQuery automatically on a configurable schedule ranging from every 5 minutes to daily, enabling analysts to query social metrics using standard SQL alongside other business data sources.

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

With the Audience performance pipeline, marketing teams can analyze follower demographics by gender, age, and location directly within BigQuery, enabling precise segmentation strategies for targeted campaigns and lookalike audience modeling. The Media performance pipeline delivers consolidated metrics on post engagement and views, allowing analysts to correlate content effectiveness with conversion data stored in the same data warehouse. Additionally, the Daily profile performance pipeline tracks account evolution over time, making it simple to monitor growth trends alongside paid media metrics from other platforms for holistic performance measurement across all channels.

Try out all the features for free for 14 days

Replicated to BigQuery

Instagram data available for BigQuery

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

available pipelines

extractable fields

BigQuery

Destination

Available integrations

Audience performance

Demographic data such as gender, age, and location of followers, allowing detailed audience analysis based on metrics like audience_city and audience_country.

Daily profile performance

Information on daily profile performance, including metrics like kdd_account_id and ig_username, allowing monitoring of account evolution over time.

Media

Data on posts, including information on views and interactions, allowing performance analysis of each published content.

Media performance

Consolidated analysis of post performance, with metrics like views and interactions, allowing evaluation of the effectiveness of each media over time.

Profiles

Information on linked profiles, including kdd_account_id and ig_username, providing an overview of connected accounts and their characteristics.

Third-Party Posts

Data on posts made by third-party accounts, allowing analysis of interactions and engagement with external content.

Third-Party Profiles

Information on third-party profiles, including engagement metrics and interactions, allowing comparative analysis with own profiles.

See all available data → Send Instagram to BigQuery →

Try out all the features for free for 14 days

How to send Instagram data to BigQuery

Sync data automatically — no code, no manual exports.

Connect Instagram Account

Authenticate your Instagram business account through Kondado's interface to establish the data source connection. The platform will verify your credentials and retrieve available account metadata to populate the pipeline selection screen.

Configure BigQuery Destination

Select BigQuery as your destination and specify the target dataset where your Instagram data will reside. Provide your Google Cloud project details and confirm write permissions for automated data loading.

Select Pipelines and Schedule

Choose from the seven available Instagram data pipelines including Audience performance and Media metrics, then set your preferred update frequency from 5 minutes to daily. Activate the connection to begin automated replication of your selected social media data.

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 to other destinations

Instagram > Looker Studio

Instagram > Power BI

Other visualizations

Instagram > Amazon S3

Instagram > BigQuery

Instagram > Excel

Instagram > Google Sheets

Instagram > MySQL

Instagram > PostgreSQL

Instagram > Redshift

Instagram > SQL Server

Choose a tool to visualize your Instagram data

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

Instagram > Airtable

Instagram > Alteryx

Instagram > Amazon Quicksight

Instagram > BIMachine

Instagram > Cortex

Instagram > Data Studio

Instagram > Geckoboard

Instagram > Grafana

Instagram > IBM Cognos Analytics

Instagram > Klipfolio

Instagram > Looker Studio

Instagram > Looker

Instagram > Looqbox

Instagram > Metabase

Instagram > Microstrategy

Instagram > Pentaho

Instagram > Power BI

Instagram > Qlik Cloud Analytics

Instagram > Qlik Sense

Instagram > Qlik

Instagram > QlikView

Instagram > Redash

Instagram > Superset

Instagram > Tableau

Instagram > BI TOTVS

Instagram > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Instagram data to BigQuery automatically

How does the Instagram to BigQuery connection work? ▼

Kondado uses a direct connection to extract data from the Instagram API and load it into your BigQuery dataset. You authenticate your Instagram business account through our interface, select which data pipelines you need, and define your update schedule. The platform handles schema creation and data type mapping automatically, ensuring your social media metrics arrive ready for analysis.

What Instagram data can I replicate to BigQuery? ▼

You can replicate seven distinct pipelines containing 83 fields, including audience demographics, media performance metrics, daily profile statistics, and third-party post data. This covers follower locations, post engagement rates, story views, and comparative analytics for competitor accounts. All data is structured to support SQL querying alongside your existing business datasets.

How often does Instagram data update in BigQuery? ▼

Kondado replicates data on a configurable schedule that you control, with options ranging from every 5 minutes to daily updates. You can set different frequencies for different pipelines depending on your analysis needs. This ensures your BigQuery data reflects recent social media activity without overwhelming your data warehouse with unnecessary API calls.

Can I combine Instagram data with other sources in BigQuery? ▼

Yes, once your Instagram data lands in BigQuery, you can join it with information from your CRM, advertising platforms, or Google Sheets exports. This enables comprehensive analysis such as correlating Instagram engagement with actual sales revenue or comparing social reach against advertising spend across platforms.

Are there pre-built dashboards available for Instagram BigQuery data? ▼

Yes, Kondado offers ready-made report templates including the Instagram Power BI Report and Instagram Looker Studio Report that connect directly to your BigQuery dataset. These templates provide immediate visualizations of follower growth, engagement rates, and audience demographics without requiring you to build charts from scratch. You can also send data to Power BI, Looker Studio, or Google Sheets for alternative visualization options.

What format does Instagram data take in BigQuery? ▼

Instagram data arrives in BigQuery as structured records with properly defined schemas, including timestamp fields for temporal analysis and numeric fields for engagement metrics. Each pipeline corresponds to a specific dataset containing normalized data, such as separate datasets for audience demographics and media performance. This structure supports efficient SQL queries and joins with your existing business data.

Do I need coding skills to connect Instagram to BigQuery? ▼

No coding is required to establish this connection using Kondado. The platform provides a no-code interface where you authenticate accounts through guided steps and select data pipelines using checkboxes. All API handling, data transformation, and schema management happen automatically in the background.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days