Croma Reviews Scraper

Scrapes customer reviews from a single Croma product page and returns structured data for analysis.

Overview

This actor extracts reviews from Croma product pages. Provide a product URL and a maximum number of reviews, and it returns a clean, structured dataset. It's designed for developers and analysts who need review data for e-commerce analysis, sentiment tracking, or market research.

Key Features

• Targeted Scraping: Collects reviews from a specific Croma product page.
• Structured Output: Returns data as a list of JSON objects, ready for analysis.
• Comprehensive Data: Captures review text, ratings, dates, verification status, and purchase location (when available).
• Product Context: Includes product-level metadata (average rating, rating distribution) with each review record.
• Controllable Scope: Use the max_reviews parameter to limit the dataset size and runtime.

How to Use

Run the actor with two required inputs:
1. A Croma product page URL containing the path /p/<product_code>.
2. The maximum number of reviews you want to collect.

The actor will process the page and its review pagination, outputting the data in the specified format.

Input

The actor requires the following input fields:

• url (string, required): The full URL of the Croma product page.

  • Example: https://www.croma.com/marshall-emberton-ii-20w-portable-bluetooth-speaker/p/258433
  • Must contain the /p/<product_code> segment.

• max_reviews (integer, required): The maximum number of reviews to scrape before stopping.

  • Example: 50, 250, 1000

Output

The output is a dataset—a list of review objects. Each object contains the following fields:

Reviewer & Content:
* username: Reviewer's alias.
* comment: The full review text.
* date: Review date (YYYY-MM-DD).
* rating: Numeric rating (1-5).
* verifiedPurchase: Boolean indicating if the purchase was verified.

Purchase Location (if provided):
* purchase_city_name
* purchase_state
* purchase_country

Product Context (repeated per review):
* product_code: The product identifier from the URL.
* averageRating: The product's average rating.
* review_text_count: Total number of reviews for the product (if available).

Rating Distribution (repeated per review):
* 1 star_count, 2 star_count, 3 star_count, 4 star_count, 5 star_count

Example Output Snippet

[
  {
    "username": "Surjit",
    "comment": "Have had a harrowing experience with my online order...",
    "date": "2023-09-14",
    "rating": 1,
    "verifiedPurchase": true,
    "purchase_city_name": "MUMBAI",
    "purchase_state": "MAHARASHTRA",
    "purchase_country": "IN",
    "product_code": "258433",
    "averageRating": 4.3,
    "1 star_count": 2,
    "2 star_count": 0,
    "3 star_count": 0,
    "4 star_count": 1,
    "5 star_count": 14
  }
]

Notes

• Use max_reviews to manage performance and data volume, especially for products with thousands of reviews.
• Purchase location fields are not present for all reviews; missing values are normal.
• Ensure your use of this data complies with Croma's terms of service and relevant data policies.