How does the Instagram to PostgreSQL pipeline work?

Kondado connects directly to the Instagram API to extract your selected metrics and load them into your PostgreSQL database. The platform handles authentication, data transformation, and schema management automatically. You simply select which pipelines you need and define how frequently the data should refresh.

What Instagram metrics can I replicate to PostgreSQL?

You can replicate 83 fields across seven pipelines including audience demographics, media interactions, profile statistics, and third-party content analysis. Specific metrics include audience_city, audience_country, ig_username, and engagement rates for comprehensive social media analysis.

How often does Instagram data update in PostgreSQL?

Kondado updates your PostgreSQL database on a configurable schedule that you control, with options ranging from every 5 minutes to daily intervals. This near-real-time capability ensures your analytics reflect current performance without overwhelming your database with unnecessary API calls.

What data format does Instagram data arrive in PostgreSQL?

Data arrives as structured relational tables optimized for PostgreSQL, with normalized schemas that preserve data relationships. Each pipeline creates dedicated tables containing relevant metrics, allowing you to join Instagram data with existing business datasets using standard SQL operations.

Can I combine Instagram data with other sources in PostgreSQL?

Yes, PostgreSQL serves as a central repository where Instagram metrics can be joined with data from Google Sheets , BigQuery , or other platforms. This consolidation enables cross-channel analysis such as correlating social engagement with sales figures or website traffic patterns.

Does Kondado offer pre-built dashboards for Instagram analytics?

Yes, Kondado provides ready-made report templates including the Instagram Power BI Report and Instagram Looker Studio Report. You can also send your data to Power BI or Looker Studio to visualize trends without building dashboards from scratch.

Do I need coding skills to connect Instagram to PostgreSQL?

No coding is required to establish the connection or configure your data replication. Kondado's interface guides you through authentication and pipeline selection using point-and-click operations, making the process accessible to marketing analysts and business users.

Send data from Instagram to PostgreSQL

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Replicate Instagram Data to PostgreSQL Automatically

Sending Instagram data to PostgreSQL enables powerful social media analytics within your existing data infrastructure. Kondado provides a direct pipeline between Instagram and PostgreSQL, allowing you to consolidate metrics without complex engineering work. Simply select your desired pipelines, authenticate your accounts, and configure your replication schedule to run every 5 minutes, hourly, or daily based on your analysis requirements.

Kondado replicates Instagram audience demographics, media performance metrics, and profile analytics to PostgreSQL on a configurable schedule, enabling SQL-based analysis of social engagement data alongside your business intelligence.

Once your data arrives in PostgreSQL, you can build custom dashboards, run complex queries across multiple campaigns, and combine social metrics with sales or web analytics for comprehensive reporting. The automated process eliminates manual data exports while maintaining consistent data structures for reliable analysis. Technical teams can leverage PostgreSQL’s advanced querying capabilities to identify engagement trends, track follower growth patterns, and measure content effectiveness using familiar SQL operations.

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Available Instagram Pipelines for PostgreSQL

The Audience performance pipeline delivers demographic insights including follower age ranges, gender distribution, and geographic locations directly into your PostgreSQL database. Marketing teams can segment this data to create targeted campaign strategies and measure regional engagement effectiveness through SQL queries.

Combine this with the Media performance pipeline to analyze how specific content resonates with different audience segments over time. Track metrics like views and interactions alongside demographic data to identify which content types drive the highest engagement among specific follower groups. The Daily profile performance pipeline enables longitudinal tracking of account growth, allowing you to correlate posting frequency with follower acquisition rates using PostgreSQL’s time-series analysis capabilities.

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Instagram data available for PostgreSQL

available pipelines

extractable fields

Available integrations

Integration	Description
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.

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 →

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How to send Instagram data to PostgreSQL

Sync data automatically — no code, no manual exports.

Connect Your Instagram Account

Authenticate your Instagram business account through Kondado's interface to establish the data source connection and authorize metric extraction.

Configure PostgreSQL Destination

Enter your PostgreSQL connection details including host, database name, and credentials to establish where your Instagram data will be stored.

Select Pipelines and Schedule

Choose from the seven available Instagram pipelines and set your preferred update frequency, from every 5 minutes to daily, to automate data replication.

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