Ariel Reviews Scraper

Introduction

The Ariel Reviews Scraper is a powerful Apify Actor designed to extract detailed customer reviews from Ariel product pages on ariel.co.uk. It efficiently crawls specified URLs, gathers comprehensive review data including ratings, text, and metadata, and delivers it in a structured JSON format. This tool is ideal for businesses and researchers seeking actionable insights into consumer feedback for Ariel laundry products.

Features

• Comprehensive Data Extraction: Captures full review details such as ratings, titles, text, author info, dates, and helpfulness metrics.
• High Reliability: Utilizes CheerioCrawler for fast, efficient scraping with built-in error handling and retries.
• Proxy Support: Integrates Apify's residential proxies to bypass geo-restrictions and avoid IP blocks.
• Customizable Limits: Allows setting maximum requests per crawl to control resource usage and costs.
• Structured Output: Produces clean, JSON-formatted data ready for analysis or integration.
• Scalable Performance: Handles multiple product pages simultaneously for large-scale data collection.
• No Coding Required: User-friendly interface for easy setup and execution on the Apify platform.

Input Parameters

Parameter	Type	Required	Description	Example
startUrls	array	Yes	URLs to start crawling from, typically Ariel product pages.	[{"url": "https://www.ariel.co.uk/en-gb/product/by-type/pods/ariel-original-all-in-1-pods"}]
proxyConfiguration	object	No	Specifies proxy servers to hide the scraper's origin, using Apify's proxy groups.	{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}
maxRequestsPerCrawl	integer	No	Maximum number of requests allowed per crawl run.	100

Example Usage

Input JSON

{
  "startUrls": [
    {
      "url": "https://www.ariel.co.uk/en-gb/product/by-type/pods/ariel-original-all-in-1-pods"
    }
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  },
  "maxRequestsPerCrawl": 100
}

Output JSON

[
  {
    "productUrl": "https://www.ariel.co.uk/en-gb/product/by-type/pods/ariel-platinum-pods-touch-of-lenor-unstoppables",
    "productId": "PDP_UK_Ariel_Platinum_PODS\u00ae + Touch_of_Lenor_Unstoppables_washing_capsules_34",
    "productName": "Ariel Platinum PODS\u00ae + Touch of Lenor Unstoppables",
    "reviewId": "169055556",
    "title": "fsdfsds",
    "text": "dfsdfsdfsdfsdfsdfazsdf asdf asdf asd fas df asdf as dfa sdf as df asdf as df asdf as df asd fasd f asdf s df sad fas df asd fa sdf asdf",
    "rating": 5,
    "author": "fsasdfasdfasd",
    "date": "2024-10-10T08:28:47.000+00:00",
    "lastModifiedTime": "2024-11-10T01:12:48.000+00:00",
    "isFeatured": false,
    "isRecommended": true,
    "helpful": 0,
    "notHelpful": 0,
    "totalFeedback": 0,
    "helpfulness": 0,
    "incentivizedReview": false,
    "hasMedia": false,
    "mediaCount": 0,
    "moderationStatus": "APPROVED",
    "userLocation": null,
    "pros": null,
    "cons": null
  }
]

Use Cases

• Market Research: Analyze consumer sentiment and trends for Ariel products to inform product development.
• Competitive Intelligence: Compare review data across similar laundry brands for strategic insights.
• Price Monitoring: Track feedback related to pricing and value for Ariel offerings.
• Content Aggregation: Collect reviews for content creation, such as blog posts or social media campaigns.
• Academic Research: Gather data for studies on consumer behavior in household products.
• Business Automation: Automate review monitoring for quality control and customer service improvements.

Installation and Usage

1. Search for "Ariel Reviews Scraper" in the Apify Store
2. Click "Try for free" or "Run"
3. Configure input parameters
4. Click "Start" to begin extraction
5. Monitor progress in the log
6. Export results in your preferred format (JSON, CSV, Excel)

Output Format

The Actor outputs a JSON array of review objects. Each object includes fields like productUrl, productId, productName, reviewId, title, text, rating (1-5 scale), author, date, lastModifiedTime, isFeatured, isRecommended, helpful, notHelpful, totalFeedback, helpfulness, incentivizedReview, hasMedia, mediaCount, moderationStatus, userLocation, pros, and cons. This structure ensures easy parsing and integration into databases or analytics tools.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!

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