if (arg instanceof Error) return message: arg.message, stack: arg.stack?.substring(0, 1000), ;
: Individual replays can be shared via direct links or organized into collections for internal reviews. Integration Flexibility
Imagine training a model to detect user frustration or a bot to automate a checkout flow. You need the raw data. Portable JSON exports allow you to feed thousands of session replays directly into your Jupyter Notebooks or BigQuery for analysis far beyond what PostHog’s UI offers. posthog session replay portable
The most comprehensive form of data portability is self-hosting. As a truly open-source platform, you can deploy your own instance of PostHog on your own infrastructure. This gives you full ownership of your data and allows you to manage your session replay storage with your chosen tools, such as MINIO for blob storage.
Yes. Because PostHog uses an open standard for recording, you can use the standalone . if (arg instanceof Error) return message: arg
Agencies and SaaS platforms can embed user replays directly into their own proprietary portals for their clients to see. How PostHog Session Replay Works Under the Hood
For long-term portability and data ownership, you can configure PostHog to export pipeline data into your external data stack. Portable JSON exports allow you to feed thousands
useEffect(() => recorderRef.current = new PortableSessionRecorder( userId: options?.userId, storage: 'indexeddb', );
recording = ph.session_recording.get('SESSION_ID')
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