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Connect PostHog to Amazon S3

Import PostHog data into your own bucket. Select accounts and reporting fields, choose CSV or JSON, configure initial history, and schedule recurring exports.

PostHog → Amazon S3Scheduled
FormatCSV
FrequencyEvery day
Time08:00 UTC
HistoryConfigured
Containermarketing-exports
Next exportTomorrow
PostHog_daily.csvReady to run

Used by the world's leading companies

Your next cloud export should not start with twelve browser tabs.

Moving marketing data by hand means logging into every platform, rebuilding each extract, and uploading every file to Azure Blob Storage again.

Stop downloading every source by hand.

Facebook AdsExport
Google AdsExport
Google AnalyticsExport
DownloadsRepeat next time

A recurring delivery still starts with separate logins, account selections, date ranges, and downloads for every marketing platform.

Stop cleaning up files before storage.

CSV
marketing-export-final-v3.csvDownloaded file
CSV
marketing_daily.csvReady for bucket

Inconsistent names and formats create another round of checking before anything reaches the correct bucket.

Stop relying on someone to remember the upload.

S3 delivery Action required
Mon
Tue
Wed!
Thu
Expected file Not uploaded

Manual routes break when a task is late or its owner is unavailable. The latest file can be missing when another workflow expects it.

Three advantages after PostHog is connected to Amazon S3.

The value is not another one-off export. It is a repeatable route from the selected PostHog accounts to storage your team already controls.

Integrate

Choose the PostHog data once.

Select the ad accounts, available fields, initial history, file format, and schedule for the job. The next delivery uses the same configured route.

Export configurationConfigured
PostHog
Accounts + selected fields
Configured for this source
Daily · 08:00 UTC
Deliver

Deliver directly to your bucket.

Catchr writes the selected PostHog data to Amazon S3 as CSV or JSON. Your team keeps control of storage access and every downstream use.

Cloud deliveryExport ready
PostHog_daily.csv Written to container
Schedule

Keep the next file on schedule.

The configured job runs on the recurring schedule you choose, so a fresh delivery no longer depends on someone repeating the download and upload.

PostHog delivery Scheduled
Mon
Tue
Wed
Thu
Next run Tomorrow · 08:00 UTC

Choose what to export to Amazon S3.

Open a source route for its data scope, file example, setup requirements, reporting constraints, and related workflows.

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Export PostHog data to Amazon S3.

Catchr reads the PostHog accounts and fields you select, creates scheduled CSV or JSON files, and writes them into the bucket you configure.

Step one

Choose the PostHog data your report needs.

Select available metrics, dimensions, breakdown, and metadata fields. Exact availability depends on the PostHog API, permissions, and report settings.

PostHog fieldsSelected
Campaign structureCampaign, ad set, ad, account
DeliveryImpressions, reach, frequency
CostSpend, CPM, CPC, cost metrics
ResultsClicks, actions, conversions
BreakdownsDate, placement, device, geography
MetadataNames, IDs, status, objectives
Step two

Deliver directly to your bucket.

Choose the available fields, optionally rename columns, set the file name, and select CSV or JSON for the export job.

PostHog_daily.csvPreview
datecampaign_namespendimpressions
2026-07-28Summer prospecting842.10184,220
2026-07-28Retargeting EU391.4272,084
2026-07-28Brand awareness218.7691,637
2026-07-28Creative test 03126.0924,813
Step three

Configure history once, then keep files arriving.

Set the initial history supported by the source and choose a recurring schedule. Catchr performs scheduled file exports rather than a live streaming connection.

Export settingsReady
CSVJSON
Configured for PostHog
Every day at 08:00 UTC
History availability depends on the connected source API.
Step four

Write each export to your bucket.

Connect Amazon S3 with AWS access key, secret key, region, and bucket ID. Your team keeps control of access, retention, transformations, joins, and downstream reporting.

Amazon S3 destinationConnected
AKIA••••••••R7Q
••••••••••••••••
eu-west-1
agency-marketing-exports
Connection testedbucket selected

Export data to S3 questions.

Answers about direction, credentials, file formats, history, scheduling, and ownership.

What is the setup for exporting PostHog data to Amazon S3?

Connect PostHog in Catchr with an API key and the base URL for your US, EU, or self-hosted instance. Then connect Amazon S3 with your AWS credentials, region, and bucket ID, and configure the datastream fields, file format, history, and schedule.

Which PostHog fields can I include in an Amazon S3 export?

You can export PostHog event data using available fields such as UTM Campaign, Date, Hour of the day, and Records. Catchr lets you select and rename columns and preview the result before exporting it to Amazon S3.

How does Catchr handle historical PostHog events for Amazon S3?

Catchr follows PostHog’s provided pagination links to retrieve the available event history instead of relying on limit and offset. You can configure the initial history separately from the recurring Amazon S3 export schedule.

Can Catchr export PostHog data to Amazon S3 as CSV or JSON?

Yes. Choose CSV or JSON when configuring the PostHog export, and Catchr will write the resulting files to your selected Amazon S3 bucket.

What reporting workflow can agencies build with PostHog files in Amazon S3?

Agencies can use stored PostHog event files to analyze record counts by UTM campaign and time period in a warehouse or BI workflow, supporting reusable dashboards, campaign reviews, and recurring client reporting.

Does Catchr transform or visualize the data in S3?

Catchr exports the selected fields as files. Your team owns storage access, retention, transformations, semantic models, joins, and downstream dashboards after the files reach Amazon S3.

Which data sources are available?

Catchr supports more than 100 platforms across advertising, analytics, CRM, ecommerce, email, SEO, and social. Explore the connector directory to confirm a specific source.

Still have a question ? 

Our teams is always here to responds to any question you could have about our data connector. 

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