Taobao-Search-Skill

Automate Taobao search using a persistent Playwright browser session where AI agents issue JSON commands via stdin to find products, select specific SKUs, and add to cart. This approach eliminates browser restarts and enables continuous end-to-end shopping flows.

Yes, an AI agent can autonomously find under-budget products on Taobao by issuing structured JSON commands. The persistent browser session maintains state, allowing the agent to search, inspect details, choose specific SKUs, and add to cart with minimal human interaction.

Automating Tmall product discovery requires Python tooling including Playwright for browser automation, playwright-stealth for evasion, ddddocr for CAPTCHA solving, and opencv-python with numpy for image processing. These dependencies coordinate deterministic shopping tasks via a JSON protocol.

The stdin/stdout JSON protocol allows AI agents to issue structured commands to a persistent browser session and receive results. This mechanism coordinates deterministic Taobao tasks like searching, opening products, and completing checkout steps without restarting the browser environment.

The best way to maintain a persistent browser session for AI-driven shopping workflows is using Playwright with stealth plugins. By orchestrating actions through a JSON protocol over stdin/stdout, agents execute search, SKU selection, and cart operations continuously without session drops.

Taobao automation fails without stealth plugins and OCR dependencies because anti-bot detection blocks automated access. Using playwright-stealth, ddddocr, and opencv-python ensures the persistent browser session bypasses detection and solves CAPTCHAs during product discovery and checkout.