Use Cases

How teams use Virtual Browser across e-commerce, social, Web3, data, and QA.

1. Categories

Area	Examples
E-commerce	Multi-store Amazon / eBay / Shopify
Social	Facebook, Instagram, TikTok ops
Web3	Airdrops, multi-wallet, chain games
Data	Research, price monitoring
QA	Cross-profile compatibility & perf tests

2. E-commerce

Multi-store management

One profile per store + region-specific proxy and timezone
Use the window synchronizer for repetitive UI tasks
Avoid cross-store SKU edits in the same minute

Market research

Dedicated research profiles with rotating proxies
Track competitor price/stock/reviews on a schedule
Keep research traffic separate from seller accounts

Split personal, brand, and ad accounts across profiles
Stagger posts and engagement; vary fingerprints per locale
Automate scheduling via Pro API where allowed by platform policy

4. Web3

Separate profile per wallet; never mix seed storage paths
Airdrop tasks: social + on-chain steps in isolated sessions
Game bots: cap concurrent clients to avoid GPU/RAM exhaustion

5. Data collection

json

{
  "rate_limiting": {
    "requestsPerMinute": 60,
    "delayBetweenRequests": 1000,
    "randomDelay": true
  }
}

Rotate profiles and proxies
Respect robots/ToS and legal limits in your region

6. Automated testing

QA profiles mirror target OS/UA/locale
Playwright over CDP after launchBrowser API — see Automation API
Tear down test data after runs

7. Practices

Differentiate fingerprints and proxies per profile
Human-like timing and navigation
Isolate data and extensions
Backup exports before bulk changes
Comply with platform rules and local law