# Puppeteer MCP: scrape Amazon web reviews

> Configure the Puppeteer MCP server in Warp to automate browser tasks like navigating sites, scraping product data, and analyzing reviews.

- 网址：https://funcoding.ai/agents/warp/guides/external-tools/puppeteer-mcp-scraping-amazon-web-reviews/
- 来源：Warp 官方文档原文（英文），MIT 许可，同步于 2026-10-11
- 官方原文：https://docs.warp.dev/guides/external-tools/puppeteer-mcp-scraping-amazon-web-reviews/

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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.\
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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` (macOS) 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:

   ```json
   {
     "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 agents.

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-shirt 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.

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

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   #### 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.

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

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