# Zebu Data - Customer Reviews [Health: Active]

**Category:** 🔎 Search & Data Extraction  
**Repository:** https://github.com/zebudata/claude-plugins  
**GitHub Stars:** 0  
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**Directory Page:** https://allmcps.com/mcp/zebu-data-customer-reviews

## Description
Reviews from Google Maps, Yelp, TripAdvisor, eBay, Naver and Coupang, with ratings and dates.

## Claude Desktop Quick Installation
No confirmed install details yet, so no config is published. Follow the setup steps in the repository above.

## Documentation

## What the Zebu Data - Customer Reviews MCP server does

The Zebu Data - Customer Reviews MCP server provides MCP access to review-collection scrapers for six platforms: Google Maps, Yelp, TripAdvisor, eBay, Naver, and Coupang. The returned review data includes ratings and dates, according to the listing. This makes the server relevant for workflows that need to gather or compare customer feedback from specific review and commerce sites.

It is part of Zebu Data’s broader collection of web-data plugins and MCP server bundles. The customer review bundle is registered as `io.github.zebudata/customer-reviews` in the official MCP Registry.

## How it works

The bundle uses Apify-hosted scrapers, referred to by Zebu Data as Actors. Its remote MCP URL specifies the scraper tools to expose:

- `google-maps-store-review-scraper`
- `yelp-reviews-scraper`
- `tripadvisor-review-collector`
- `ebay-product-reviews-scraper-with-advanced-filters`
- `naver-shopping-reviews-scraper`
- `coupang-reviews-scraper`

An MCP-compatible client connects to the streamable HTTP endpoint, and the selected scraper runs through Apify when a tool is used. The first tool call prompts the user to sign in to Apify. Scraper usage is charged to the user’s Apify account; the README states that a free Apify account is sufficient to begin.

## Setup and configuration

Use the customer reviews bundle URL as a remote MCP server in a compatible client:

`https://mcp.apify.com/?tools=delicious_zebu/google-maps-store-review-scraper,delicious_zebu/yelp-reviews-scraper,delicious_zebu/tripadvisor-review-collector,delicious_zebu/ebay-product-reviews-scraper-with-advanced-filters,delicious_zebu/naver-shopping-reviews-scraper,delicious_zebu/coupang-reviews-scraper`

The README describes remote-server support for clients such as Claude, Cursor, and VS Code. Claude Code can add MCP servers with its HTTP transport command. Authentication is handled through the Apify sign-in flow when a tool first runs, so no environment variable is documented for this bundle.

## Tools and capabilities

The Zebu Data - Customer Reviews MCP server groups one scraper for each supported source. Google Maps and Yelp tools target local-business reviews, while TripAdvisor provides travel and location-related review collection. The eBay, Naver Shopping, and Coupang tools cover product or commerce reviews. The available material specifically confirms ratings and dates as review fields; it does not define a complete response schema or describe additional filters for every tool.

This places the bundle in the Search & Data Extraction category. It can fit research, review monitoring, product feedback collection, and cross-platform comparison tasks where the target source is one of the six listed sites.

## Limitations and notes

Coverage is limited to the six scrapers included in the customer reviews bundle. The listing does not claim that the server searches arbitrary websites or combines the sources into one normalized dataset. Data collection depends on the underlying Apify Actors and requires an Apify sign-in before use. Apify usage is billed to the account connected to the client.

The repository also contains separate bundles for product data, Korean commerce data, social and video data, real-estate data, and other collection tasks. Those are separate MCP servers and are not part of the Zebu Data - Customer Reviews MCP server. The repository is licensed under MIT, and its README points to a separate privacy policy.

_Full upstream README: https://allmcps.com/mcp/zebu-data-customer-reviews/readme_