Posthog Session Replay Portable !exclusive! May 2026

PostHog session replays are "portable" primarily through JSON exports, allowing you to preserve, share, or re-import recordings even after their standard retention period expires. Portable Export Options

PostHog provides several methods to move or store session replay data outside the standard cloud dashboard:

JSON Export: You can export individual recordings to a JSON file via the "more options" menu in the recording viewer. These files contain the serialized DOM snapshots (using rrweb) and can be re-imported into PostHog for playback later.

Public Link Sharing: You can generate a public link that allows anyone to view a specific replay without a PostHog account. These can also be embedded into other web pages using an iframe.

API Access: The Session Recordings API allows for programmatic retrieval of recording data for custom storage or integration into external tools like support ticket systems.

Batch Exports: For high-volume needs, PostHog supports batch exports to external storage destinations like S3, Postgres, or Snowflake. Portable Deployment (Self-Hosting) posthog session replay portable

Since PostHog is open-source, you can run the entire platform on your own infrastructure using Docker Compose. This "portable" infrastructure approach ensures full data sovereignty and is often used by teams with strict privacy requirements. Core Replay Capabilities Whether used in the cloud or self-hosted, PostHog captures: Session recordings API Reference - PostHog

Response. Show response body. Example request. GET /api/environments/:environment_id/session_recordings/:id. cURL. export POSTHOG_ Sharing and embedding replays - Docs - PostHog

I'll help you develop a portable PostHog session replay feature. This will allow you to capture and replay user sessions independently of the PostHog cloud service.

The "Blob" Storage Strategy

Traditional session replay records DOM mutations. PostHog captures these events as JSON blobs. Instead of storing these in a proprietary database format, PostHog allows you to pipe these blobs directly into object storage.

The workflow is simple:

  1. User clicks a button.
  2. PostHog SDK captures the click coordinates and DOM snapshot.
  3. The data is sent to your PostHog instance (Cloud or Self-Hosted).
  4. The Portable Step: A background worker exports these snapshots as compressed JSON files to your S3 bucket.

Because the data is stored as standard JSON (not a binary proprietary format), you can write a simple Python or Node script to read these files and reconstruct the session without ever touching PostHog’s server.

2. The Data Warehouse Integration (Reverse ETL)

PostHog allows you to export raw session replay events directly to Snowflake, BigQuery, or Redshift. Unlike other tools that give you aggregated CSV exports, PostHog streams the raw clickmap, mouse activity, and console logs into your warehouse.

  • The Portable Result: Your Data Analysts can now write SQL joins between posthog.session_replay_events and stripe.payments. You can finally answer: "Do users who open the console (developer errors) churn at a higher rate?"

2. How to Make Replays Portable (Export/Download)

There are two main ways to achieve portability:

Unlocking Product Freedom: The Ultimate Guide to PostHog Session Replay Portable

In the modern era of product analytics, data lock-in is the silent killer of startup agility. Many teams fall in love with a tool, only to realize months later that migrating their historical data—specifically their session replays—is technically impossible or financially prohibitive.

Enter PostHog.

While PostHog is renowned for its open-source nature and feature-rich analytics suite, one specific capability sets it apart from giants like FullStory, Hotjar, and LogRocket: Portability.

In this article, we will deep-dive into what makes "PostHog session replay portable" a game-changer for engineering and product teams. We will explore how to export your data, why self-hosting gives you ultimate control, and how to avoid vendor lock-in forever.

Write to a local file for custom processing

with open('user_session.json', 'w') as f: json.dump(snapshots, f)

Use Case A: Privacy Compliance Automation

GDPR Article 17 ("Right to Erasure") requires you to delete user data upon request.

  • Non-portable tool: You click "Delete" in the UI. Did it work? Did it delete backups? You hope so.
  • Portable (PostHog): Because your Session Replay data lives in your S3 bucket, you can run an automated Lambda function every hour that scans for "Delete User ID" flags and permanently shreds those specific JSON replay files.
  • Result: Auditable, programmatic compliance.

The Open-Source Foundation

PostHog is 100% open-source (MIT license). Unlike proprietary tools where the replay rendering engine is a trade secret, PostHog’s web player is a public NPM package (posthog-js). If PostHog the company disappeared tomorrow, your ability to replay sessions would not vanish. User clicks a button

Data Model & Payload Format

  • Use compact NDJSON or binary (Protobuf) framing for efficiency.
  • Example chunk (NDJSON): "type":"meta","session_id":"s_123","started_at":1640000000, "user_agent":"..." "type":"full_snapshot","seq":0,"timestamp":0,"payload":"base64-serialized-dom" "type":"mutation","seq":1,"timestamp":125,"ops":[...] "type":"event","seq":2,"timestamp":200,"name":"click","target":"#buy","x":...
  • Sequence numbers for ordering; checksums for integrity.