Send data from Linkedin to Amazon S3

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Send LinkedIn Data to Amazon S3 Automatically

To send LinkedIn data to Amazon S3, connect your LinkedIn advertising accounts to Kondado and configure Amazon S3 as your destination. Kondado replicates your LinkedIn Ads metrics, campaign performance data, and organizational content on a configurable schedule, delivering structured files directly to your S3 buckets without manual exports. This automated pipeline ensures your analytics infrastructure always has current data for analysis with Athena, Presto, or Dremio.

Kondado provides a direct integration between LinkedIn and Amazon S3, replicating your advertising and organizational data on a configurable schedule ranging from every 5 minutes to daily. The platform delivers 9 pipelines with 394 fields including Ad Accounts, Ad Statistics, Conversion Statistics, Campaign Metadata, and Organization Posts directly to your S3 buckets in a format optimized for analytics processing and downstream business intelligence workflows.

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Once your LinkedIn data lands in Amazon S3, you can leverage Ad Statistics and Conversion Statistics pipelines to build custom performance dashboards that track impression trends and cost per conversion across campaigns. Combine Organization Posts data with your advertising metrics to analyze how organic content engagement correlates with paid campaign results, or join LinkedIn data with other sources stored in S3 to create comprehensive marketing attribution models. The replicated data arrives ready for querying with standard analytics engines, enabling your team to generate actionable insights without waiting for manual report generation.

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Linkedin data available for Amazon S3

9
available pipelines
394
extractable fields

Available integrations

Integration Description
Ad Accounts Unique identifier, status, currency, and notification preferences of ad accounts. Analyze the current status and whether alerts are sent about campaigns.
Ad Statistics Data on impressions, clicks, and cost of ads. Allows evaluation of campaign performance and optimization of marketing strategies.
Conversion Statistics Metrics on conversion, including conversion rates and cost per conversion. Essential for measuring the effectiveness of advertising campaigns.
Conversion Information Details on each conversion, such as source and generated value. Helps understand the impact of campaigns on financial results.
Campaign Metadata Information on campaigns, including budget, objectives, and status. Allows analysis of targeting and delivery strategy.
Creative Metadata Data on creatives used, including format and approval status. Essential for optimizing advertising content.
Campaign Group Metadata Information on campaign groups, such as status and cost type. Allows understanding of the structure and performance of ads.
Organization Posts Data on posts made by organizations, including engagement and reach. Useful for evaluating the effectiveness of published content.
Organization Pages Information on organization pages, including followers and interactions. Allows analysis of brand presence and impact.
Ad Accounts
Unique identifier, status, currency, and notification preferences of ad accounts. Analyze the current status and whether alerts are sent about campaigns.
Ad Statistics
Data on impressions, clicks, and cost of ads. Allows evaluation of campaign performance and optimization of marketing strategies.
Conversion Statistics
Metrics on conversion, including conversion rates and cost per conversion. Essential for measuring the effectiveness of advertising campaigns.
Conversion Information
Details on each conversion, such as source and generated value. Helps understand the impact of campaigns on financial results.
Campaign Metadata
Information on campaigns, including budget, objectives, and status. Allows analysis of targeting and delivery strategy.
Creative Metadata
Data on creatives used, including format and approval status. Essential for optimizing advertising content.
Campaign Group Metadata
Information on campaign groups, such as status and cost type. Allows understanding of the structure and performance of ads.
Organization Posts
Data on posts made by organizations, including engagement and reach. Useful for evaluating the effectiveness of published content.
Organization Pages
Information on organization pages, including followers and interactions. Allows analysis of brand presence and impact.

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How to send Linkedin data to Amazon S3

Sync data automatically — no code, no manual exports.

1
Connect Your LinkedIn Account

Authenticate your Linkedin data source in Kondado by providing your advertising account credentials to enable access to campaign metrics and organizational page data.

2
Configure Amazon S3 Destination

Set up your Amazon S3 bucket as the destination, specifying the file format and folder structure for your replicated LinkedIn advertising and organizational data.

3
Select Pipelines and Schedule

Choose from the 9 available pipelines such as Ad Statistics and Conversion Statistics, then configure your update frequency from every 5 minutes to daily intervals.

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Frequently Asked Questions (FAQ)

Answers about sending Linkedin data to Amazon S3 automatically

How often can I schedule LinkedIn data updates to Amazon S3?
Kondado offers flexible scheduling options ranging from every 5 minutes to daily updates, allowing you to balance data freshness with processing costs. You can configure different frequencies for specific pipelines, such as hourly updates for Ad Statistics and daily batches for Organization Posts, directly within the platform interface.
What file format does LinkedIn data arrive in when replicated to Amazon S3?
Data arrives in optimized file formats compatible with AWS analytics services like Athena and Presto, typically structured as compressed columnar files for efficient querying. This format enables you to run SQL queries directly against your LinkedIn advertising data without additional transformation steps or ETL processes.
Can I send LinkedIn data to Amazon S3 and business intelligence tools simultaneously?
Yes, Kondado supports multiple destinations for the same data source, allowing you to replicate LinkedIn data to Amazon S3 while also sending it to Power BI, Looker Studio, or BigQuery. This ensures your data engineering and analytics teams can access the data in their preferred environments.
Which specific LinkedIn Advertising metrics are available in the S3 pipelines?
The Ad Statistics pipeline includes impressions, clicks, cost data, and engagement metrics, while Conversion Statistics provides conversion rates and cost per conversion details. You also access Campaign Metadata for budget and targeting information, plus Creative Metadata to analyze which ad formats drive the best performance.
How do I query LinkedIn data once it lands in my Amazon S3 bucket?
You can query the data directly using Amazon Athena, Presto, or Dremio without moving files to a separate database system. The structured format supports standard SQL queries, enabling you to join LinkedIn advertising data with other datasets stored in S3 or connect to PostgreSQL for hybrid analytics workflows.
Can I combine LinkedIn data with other marketing sources in Amazon S3?
Absolutely, storing LinkedIn data in S3 alongside other sources like Google Ads or CRM exports allows you to build unified attribution models. You can correlate Organization Posts engagement with website analytics or merge Conversion Statistics with sales data to calculate complete customer acquisition costs across channels.
What historical data does Kondado replicate from LinkedIn to Amazon S3?
Kondado replicates historical data available through the LinkedIn Marketing API, typically including past campaign performance and organizational page metrics from the date of connection. The platform continuously updates this historical dataset with new records on your configured schedule to maintain comprehensive analytics timelines.

Try out all the features for free for 14 days