You can access the Adorama Product Review Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=scraped/adorama-product-review-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Adorama Product Review Scraper

Get a ready-to-use configuration for your MCP client with the Adorama Product Review Scraper Actor preconfigured at mcp.apify.com?tools=scraped/adorama-product-review-scraper .

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

Walmart Review Crawler

webscrapewizard/walmart-review-crawler

Extract all reviews from each review page. For each review, capture and output the following information: URL, product name, product link, total number of reviews, average product rating, review location, review rating, publication date, review text, review title, author name, and original source.

WebScraperWizard

Amazon Product Review

pintostudio/amazon-product-review

The Amazon Product Review Scraper is an Apify actor that lets you extract comprehensive review data from Amazon product pages

Pinto Studio

Amazon Product Reviews Scraper

getdataforme/amazon-product-reviews-scraper

Amazon Product Reviews Scraper extracts customer reviews from Amazon product pages. Provide product URLs and proxy settings (Apify Proxy), and retrieve structured JSON with profile name, review text, rating, and review date. Supports batch URL processing. Great for sentiment and market analysis

GetDataForMe

1.0

Amazon Reviews Scraper (By Product Url)

scrapingshark/amazon-reviews-scraper-by-product-url

Scrape detailed Amazon product reviews from any product URL with ease. Get review text, ratings, author info, review dates, helpful votes, and more—perfect for sentiment analysis, competitor research, and e-commerce insights.

ScrapingShark

Walmart Product Review Scraper

scraped/walmart-product-review-scraper

Scrape reviews for a given Walmart product

scraped

5.0

Ulta Product Review Scraper

scraped/ulta-product-review-scraper

Scrape product reviews from Ulta

scraped

5.0

HM Product Review

pintostudio/hm-product-review

This Actor retrieves product review from H&M

Pinto Studio

Houzz Product Reviews Scraper 🏠

easyapi/houzz-product-reviews-scraper

Scrape product reviews from Houzz.com. Extract detailed review data including ratings, comments, user information, and review aspects. Perfect for market research and customer sentiment analysis.

EasyApi

5.0

Flipkart Reviews Scraper

getdataforme/flipkart-reviews-scraper

Extract detailed product reviews from Flipkart with this scraper. Get ratings, review text, product metadata, and more in structured JSON format—perfect for analysis, brand monitoring, or market research. Just provide product review URLs and get rich customer insights in return.

GetDataForMe

Product Reviews Aggregator

tri_angle/product-reviews-aggregator

The Product Reviews Aggregator is a powerful and easy-to-use tool for scraping review data from international marketplaces like Amazon and eBay. Users can scrape by keyword or product URL to collect details such as ratings, review text, titles, etc.