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Use case

E-commerce & Retail Operations

Automate product research, monitoring, and restocking workflows

The problem

Retail sites like Amazon, Walmart, and specialty e-commerce stores have some of the strictest bot detection — PerimeterX, Akamai, and custom WAFs that fingerprint every session. Automation that works today can fail tomorrow when anti-bot signatures update.

How it works

  1. 1

    Set up market-specific profiles

    Create profiles with proxies and locales matching each marketplace. Amazon US, Amazon UK, and regional sites all need locally consistent browser identities.

  2. 2

    Monitor product availability and pricing

    Run agents that check product pages, variant availability, and seller pricing. Detect restocks, price drops, and listing changes as they happen.

  3. 3

    Research products and categories

    Use AI agents to browse category pages, extract product data, read reviews, and analyze competitive listings — at scale and without manual effort.

  4. 4

    Automate checkout flows for testing

    Test purchase flows, verify promo codes, and validate geo-specific offers using isolated browser sessions that look like real shoppers from different locations.

Why it works well with Clawbrowser

Survives anti-bot on major retailers

Realistic fingerprints reduce block rates on PerimeterX and Akamai-protected sites where basic headless browsers fail.

Accurate regional data

Geo-targeted proxies show you localized prices, availability, and promotions — not default or CDN-cached content.

Parallel marketplace coverage

Run independent sessions across multiple platforms simultaneously, each with its own identity, so one blocked session doesn't affect others.

Ready to start?

Give your agent a browser

Clawbrowser handles fingerprints, proxies, and session isolation. Your agent focuses on the task.

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Works with Playwright, Puppeteer, Claude Code, and any CDP-compatible tool