ecommerce-reviews

# E-commerce — Product Reviews > Product URL → paginated customer reviews (reviewer, rating, date, title, body, verified, helpful votes) ## Language All process output to user (progress updates, process notifications) follows the user's language. ## Objective Extract customer reviews from any publicly accessible e-commerce product or reviews page using a multi-strategy approach (JSON-LD Review → Amazon DOM → WooCommerce DOM → generic microdata → generic CSS patterns). ## Prerequisites - Target browser is open and connected - No login required for public review pages ## Pre-execution Checks ### 1. Tool Readiness If browser-act has been confirmed available in the current session → skip this step. Invoke `browser-act` via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry. ## Capability Components > This Skill's operational boundary = what the user can manually do in their browser. It only reads data already displayed to the user on the page. JS code is encapsulated in Python files under the `scripts/` directory, invoked via `eval "$(python scripts/xxx.py {params})"`. Use the bash tool for execution. ### DOM: Extract reviews from current page Navigate to the product/reviews page first, then extract: ```bash eval "$(python scripts/extract-reviews.py --max-reviews 20)" ``` Parameters: - `--max-reviews`: max reviews to return per page, default 20 Output example: ```json { "count": 20, "reviews": [...