A Browser Profile is a saved snapshot of browser state (cookies, localStorage, and session files) that you can reuse across multiple runs. Profiles let you skip login steps and restore authenticated state instantly.Profiles are ideal when you:
Run the same workflow repeatedly with the same account (daily data extraction, scheduled reports)
Want multiple workflows to share the same authenticated state
Need to avoid repeated authentication to save time and steps
When a workflow runs with persist_browser_session=true, Skyvern archives the browser state (cookies, storage, session files) after the run completes. This archiving happens asynchronously in the background. Once the archive is ready, you can create a profile from it, then pass that profile to future workflow runs to restore the saved state.
Create a workflow with persist_browser_session=true in the workflow definition, run it, wait for completion, then create a profile from the run. Session archiving happens asynchronously, so add brief retry logic when creating the profile.
persist_browser_session must be set when creating the workflow, not when running it. It is a workflow definition property, not a runtime parameter.
You can also create a profile from a Browser Session that was used inside a workflow with persist_browser_session=true. After the workflow run completes and the session is closed, pass the session ID instead of the workflow run ID.
Only sessions that were part of a workflow with persist_browser_session=true produce an archive. A session created with create_browser_session() alone does not archive its state. Archiving happens asynchronously after the session closes, so add retry logic.
Copy
Ask AI
import asynciofrom skyvern import Skyvernasync def main(): client = Skyvern(api_key="YOUR_API_KEY") # browser_session_id from a workflow run with persist_browser_session=true session_id = "pbs_your_session_id" # Create profile from the closed session (retry while archive uploads) for attempt in range(10): try: profile = await client.create_browser_profile( name="dashboard-admin-login", browser_session_id=session_id, description="Admin account for dashboard access", ) print(f"Profile created: {profile.browser_profile_id}") break except Exception as e: if "persisted" in str(e).lower() and attempt < 9: await asyncio.sleep(2) continue raiseasyncio.run(main())
Parameters:
Parameter
Type
Description
name
string
Required. Display name for the profile. Must be unique within your organization
browser_session_id
string
ID of the closed browser session (starts with pbs_). The session must have been part of a workflow with persist_browser_session=true
Pass browser_profile_id when running a workflow to restore the saved state. Skyvern restores cookies, localStorage, and session files before the first step runs.
Copy
Ask AI
import asynciofrom skyvern import Skyvernasync def main(): client = Skyvern(api_key="YOUR_API_KEY") # Run workflow with saved profile, no login needed result = await client.run_workflow( workflow_id="wpid_daily_metrics", browser_profile_id="bp_490705123456789012", wait_for_completion=True, ) print(f"Output: {result.output}")asyncio.run(main())
browser_profile_id is supported for workflows only. It is not available for standalone tasks via run_task. You also cannot use both browser_profile_id and browser_session_id in the same request.
This walkthrough demonstrates the full profile lifecycle: create a workflow that saves browser state, capture that state as a profile, then reuse it in a second workflow. Each step shows the code and the actual API response.
1
Create a workflow with persist_browser_session
The workflow must have persist_browser_session=true so Skyvern archives the browser state after the run.
Run the workflow and wait for it to complete. Skyvern opens a browser, executes the navigation block, then archives the browser state in the background.
Copy
Ask AI
run = await client.run_workflow( workflow_id=workflow.workflow_permanent_id, wait_for_completion=True,)print(run.run_id) # wr_494674202383504144print(run.status) # completed
Archiving happens asynchronously after the run completes, so add retry logic. In practice the archive is usually ready within a few seconds.
Copy
Ask AI
for attempt in range(10): try: profile = await client.create_browser_profile( name="hn-browsing-state", workflow_run_id=run.run_id, description="Hacker News cookies and browsing state", ) print(profile.browser_profile_id) # bp_494674399951999772 break except Exception as e: if "persisted" in str(e).lower() and attempt < 9: await asyncio.sleep(2) continue raise
Response
Copy
Ask AI
{ "browser_profile_id": "bp_494674399951999772", "organization_id": "o_475582633898688888", "name": "hn-browsing-state", "description": "Hacker News cookies and browsing state", "created_at": "2026-02-12T01:09:18.048208", "modified_at": "2026-02-12T01:09:18.048212", "deleted_at": null}
4
Verify the profile exists
List all profiles or fetch one by ID to confirm it was saved.
Copy
Ask AI
# List all profilesprofiles = await client.list_browser_profiles()print(len(profiles)) # 1# Get a single profilefetched = await client.get_browser_profile(profile_id=profile.browser_profile_id)print(fetched.name) # hn-browsing-state
Pass browser_profile_id when running a workflow. Skyvern restores the saved cookies, localStorage, and session files before the first block runs. The second workflow starts with the browser state from step 2, no repeat navigation needed.
Copy
Ask AI
result = await client.run_workflow( workflow_id=data_workflow.workflow_permanent_id, browser_profile_id=profile.browser_profile_id, wait_for_completion=True,)print(result.status) # completed
In a real scenario, step 1 would be a login workflow that authenticates with a site. The saved profile then lets all future workflows skip the login step entirely.
Session tokens and cookies expire. Re-run your login workflow and create fresh profiles before they go stale. Adding the date to the name makes it easy to track which profile is current.
Copy
Ask AI
from datetime import date# Create dated profile after each successful loginprofile = await client.create_browser_profile( name=f"crm-login-{date.today()}", workflow_run_id=new_login_run.run_id,)# Delete old profileawait client.delete_browser_profile(old_profile_id)
To capture state changes during a run (like token refreshes), the workflow must have persist_browser_session=true in its definition. This lets you create a fresh profile from each completed run.
Copy
Ask AI
from datetime import date# Step 1: Create workflow with persist_browser_session in the definitionworkflow = await client.create_workflow( json_definition={ "title": "Daily Sync", "persist_browser_session": True, # Set here, not in run_workflow "workflow_definition": { "parameters": [], "blocks": [...] } })# Step 2: Run with an existing profileresult = await client.run_workflow( workflow_id=workflow.workflow_permanent_id, browser_profile_id="bp_current", wait_for_completion=True,)# Step 3: Create updated profile from the completed runif should_refresh_profile: new_profile = await client.create_browser_profile( name=f"daily-sync-{date.today()}", workflow_run_id=result.run_id, )