No-code pipeline · Instagram → Amazon S3

Send data from Instagram to Amazon S3

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From Instagram to Amazon S3: managed, scheduled, no code.

Creating a pipeline that sends data from Instagram to Amazon S3 data lakes takes only a few minutes with Kondado. And the whole integration from Instagram to Amazon S3 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 Amazon S3 data lake

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Send Instagram Data to Amazon S3 Automatically

How to send Instagram data to Amazon S3? Kondado provides a direct integration that replicates your social media metrics to scalable cloud storage without manual exports. You configure which pipelines to activate, set your preferred update frequency, and Kondado handles the automated data transfer to your S3 buckets. This eliminates the need to write custom API scripts or manage complex ETL workflows for your Instagram Business Account analytics.

Kondado is a data replication platform that connects Instagram to Amazon S3, automatically extracting audience demographics, media performance metrics, and profile statistics on a configurable schedule ranging from every 5 minutes to daily, then loading the structured data into your specified S3 bucket for analysis with Athena, Presto, or Dremio.

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Available Instagram Pipelines for Amazon S3

Once your Instagram data lands in Amazon S3, you can query audience performance pipelines to segment followers by city and country using SQL in Athena, or analyze daily profile performance trends to optimize posting schedules. The media performance pipeline delivers granular engagement metrics that data teams can combine with other sources in their data lake architecture. This enables comprehensive social media analytics workflows where Instagram insights feed directly into your existing business intelligence infrastructure alongside data from BigQuery, PostgreSQL, or other platforms, creating a unified view of marketing performance across all channels.

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Replicated to Amazon S3

Instagram data available for Amazon S3

Tables Kondado writes into your Amazon S3, on a schedule you control.

available pipelines

extractable fields

Amazon S3

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 Amazon S3 →

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How to send Instagram data to Amazon S3

Sync data automatically — no code, no manual exports.

Connect Instagram Business Account

Authorize your Instagram Business Account through Kondado's authentication flow to establish the data source connection and select which profiles to monitor.

Configure Amazon S3 Destination

Enter your S3 bucket details, specify the file path structure, and set access credentials so Kondado can deliver structured Instagram data directly to your cloud storage environment.

Select Pipelines and Schedule

Choose from the seven available Instagram pipelines including Audience performance and Media metrics, then define your update frequency from every 5 minutes to daily for automated replication.

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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 Amazon S3 automatically

What Instagram metrics can I replicate to Amazon S3 with Kondado? ▼

Kondado offers seven distinct pipelines including Audience performance for demographic data like gender and location, Daily profile performance for account evolution tracking, and Media performance for content engagement analysis. You can also access Third-Party Posts and Third-Party Profiles data for competitive benchmarking. Each pipeline contains specific fields such as audience_city, ig_username, and engagement metrics that load directly into your S3 bucket structure.

How often does Kondado update Instagram data in my S3 bucket? ▼

You can configure automated updates to run every 5 minutes, 15 minutes, hourly, or daily depending on your analytics requirements. This near-real-time replication ensures your data lake contains current Instagram insights without manual intervention. The schedule applies individually to each pipeline, allowing you to update high-priority metrics frequently while running archival data less often.

What file format does Instagram data use when stored in Amazon S3? ▼

Kondado stores your Instagram data in structured formats optimized for analytics engines like Athena, Presto, and Dremio. The data arrives ready for SQL querying without transformation steps, maintaining schema consistency across Audience, Media, and Profile pipelines. This structure supports immediate analysis within your existing data virtualization layer without preprocessing.

Can I combine Instagram data from S3 with other marketing platforms? ▼

Yes, you can blend Instagram insights with data from Google Sheets, advertising platforms, or CRM systems to create unified marketing reports. Data teams often join S3-resident Instagram metrics with customer data in PostgreSQL or web analytics in BigQuery using standard SQL joins. This cross-source analysis reveals correlations between social engagement and conversion events across your entire data ecosystem.

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 that connect directly to your replicated data. These templates visualize audience demographics, media engagement trends, and profile growth metrics without requiring custom dashboard development. You can also send data to Looker Studio or Power BI to build custom visualizations alongside your other business data sources.

How do I start analyzing Instagram data once it reaches Amazon S3? ▼

Connect your S3 bucket to Athena or your preferred query engine to run SQL analysis on audience demographics and content performance immediately. Data teams often create views that join Instagram Media performance data with external datasets for comprehensive campaign analysis. You can also pipe the data to Power BI or Looker Studio for business-user-friendly visualizations and automated reporting workflows.

What is the difference between Media and Media Performance pipelines? ▼

The Media pipeline captures static post data and metadata about your published content, while Media Performance delivers dynamic engagement metrics like views and interactions that change over time. Replicating both pipelines to Amazon S3 allows you to correlate content characteristics with performance outcomes using historical trend analysis. This dual approach provides complete visibility into which content types drive the highest engagement rates across your Instagram presence.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days