Puppeteer MCP: Scraping Amazon Web Reviews

Note

This tutorial demonstrates how to configure and use the Puppeteer MCP server inside Warp to scrape Amazon web reviews.

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🧠 Overview

Puppeteer MCP integrates Warp’s agents with the browser, letting you automate tasks such as navigation, form filling, screenshotting, and scraping content.

Once configured, Warp can issue Puppeteer commands directly from prompts, enabling full browser automation without manual scripting.

You’ll learn how to:

• Set up the Puppeteer MCP server.
• Use Warp’s voice input and AI to describe automation tasks.
• Execute browser workflows hands-free.
• Capture, scrape, and analyze web data programmatically.

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1. Configure the Puppeteer MCP Server

   Open the MCP panel in Warp:

   • Press Cmd + Shift + P (Mac) or Ctrl + Shift + P (Windows/Linux) to open the Command Palette.
   • Search for MCP and open the MCP Panel.

   Add the Puppeteer MCP config:

   • Click Add, then paste in the provided JSON configuration for Puppeteer:

   {
     "puppeteer": {
       "command": "npx",
       "args": [
         "-y",
         "@modelcontextprotocol/server-puppeteer"
       ],
       "env": {},
       "working_directory": null
     }
   }

   Save your configuration. Available endpoints will include:

   • puppeteer.navigate
   • puppeteer.fill
   • puppeteer.screenshot
   • puppeteer.evaluate

   These represent actions Warp can call automatically through its AI agent.

2. Use Voice Input to Trigger Automation

   Enable voice input by clicking the microphone icon in Warp. Then speak your automation prompt naturally.

   Can you go to Amazon search for "white t-short women?"
   
   Scrape the results so the titles, prices, and links are extracted.
   Then open each product link and summarize the product reviews.
   Finally, give me a recommendation for which shirt to buy based on the combination of the pricing and review quality.

   Watch Puppeteer Automate the Workflow

   Behind the scenes, Puppeteer:

   • Navigates to Amazon.
   • Fills the search bar with “white t-shirt woman.”
   • Scrapes the product results — capturing titles, prices, and product links.
   • Clicks into each product and extracts review data using JavaScript selectors.
   • Takes screenshots of the pages for reference.

   You can see the browser (Amazon) and Warp side-by-side as Puppeteer performs these steps autonomously.

   Note

   Puppeteer runs fully headless or in visible browser mode — you don’t need to touch your mouse or keyboard.

   Analyze and Summarize Results

   Once the scrape is complete, Warp compiles the data and provides a ranked list of products. Example output (from transcript):

   Product	Price	Rating	Summary
   Cozy T-Shirt	$8	⭐ 4.5	Soft fabric, good fit
   Comfy Cotton Tee	$10	⭐ 4.2	Slightly looser fit
   Basic White Top	$6	⭐ 3.8	Mixed quality reviews

   Warp’s recommendation:

   “The Cozy T‑Shirt — $8, 4.5 stars, good fit, and soft fabric.”

   Apply Puppeteer MCP to Other Scenarios

   The same setup works for:

   • Product research – Compare reviews or specs across multiple sites.
   • Competitive analysis – Scrape competitors’ pricing or product data.
   • Web testing – Automate user flows like login or checkout.
   • Repetitive data tasks – Periodic scraping or screenshot capture.

   Tip

   Puppeteer MCP lets Warp act like your hands in the browser — navigating, scraping, and summarizing data while you focus on analysis.