Posthog Session Replay Portable -

In the modern world of product analytics, data silos are the enemy of insight. For years, teams have relied on Session Replay tools to watch user sessions, debug frontend issues, and understand drop-off points. But there has always been a catch: vendor lock-in.

posthog.init('phc_xxx', capture_performance: true, capture_console_logs: true, // Crucial for debugging portability session_recording: maskAllInputs: false, // Toggle based on PII needs recordCrossOriginIframes: false ); Here is a script to pull a session replay and dump it locally for analysis. posthog session replay portable

from posthog import Posthog import json ph = Posthog('YOUR_PROJECT_API_KEY', host='https://app.posthog.com') Fetch a specific session recording ID recording = ph.session_recording.get('SESSION_ID') The 'snapshot_data' is portable JSON snapshots = recording['snapshot_data'] Write to a local file for custom processing with open('user_session.json', 'w') as f: json.dump(snapshots, f) Now you can run any analysis: - Count rage clicks (3+ clicks in 2 seconds) - Detect dead clicks (clicks with no DOM mutation) - Export to Pandas DataFrame Step 4: Destroying for Portability (The Reverse) To prove true portability, you must be able to leave. PostHog allows you to run a delete command via API: In the modern world of product analytics, data

curl -X POST "https://app.posthog.com/api/projects/@current/session_recordings/$SESSION_ID" \ -H "Authorization: Bearer $PERSONAL_API_KEY" \ -H "Content-Type: application/json" \ -d '"delete": true' The data is gone from PostHog, but you still have your backup in your data lake. That is portability. | Feature | Hotjar / FullStory | LogRocket | PostHog (Portable) | | :--- | :--- | :--- | :--- | | Data Format | Proprietary Binary / Video | Proprietary Binary | Open JSON (DOM Snapshots) | | Self-Hosting | No | Limited (Enterprise only) | Yes (MIT Open Source) | | Export to Warehouse | Rows (aggregated) | API limits | Real-time Stream (All raw data) | | Delete via API | Partial | Yes | Full CRUD access | | Run ML on data | Not possible (no raw access) | Very difficult | Native (Export to Colab/Jupyter) | Part 6: The Future is "Bring Your Own Storage" The keyword "PostHog Session Replay Portable" is rising in search volume for a reason. The industry is shifting from "Software as a Service" to "Software as a Data Layer." posthog

Founders and engineers are tired of paying $500/month to store 30-day-old replays of login pages. They want to own their user interaction data just like they own their production logs.