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:
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.
With PostHog, Session Replay is no longer a magical black box. It is a structured, lifecycled, and portable asset. posthog session replay portable
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.
Enter , the open-source product analytics platform. And at the heart of its flexibility lies a game-changing concept: Portability. from posthog import Posthog import json ph =
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.
This article dives deep into the technical architecture, the strategic benefits, and the practical use cases of making your Session Replay data truly portable with PostHog. Before we unpack "portable," let's look at the status quo. With PostHog, Session Replay is no longer a
Most SaaS session replay tools operate on a Black Box model. You install their script, they capture a massive video-like feed, and you pay per "recording." If you want to leave, you lose your history. If you want to analyze the data-layer differently, you are subject to their query limits.