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⇱ Watsonshk Pharser Reviews Scraper Β· Apify


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Watsonshk Pharser Reviews Scraper

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Watsonshk Pharser Reviews Scraper

Unlock customer insights from Watsons Hong Kong with this Apify Actor. It scrapes detailed product reviewsβ€”including ratings, titles, bodies, and metadataβ€”from multiple URLs, delivering structured JSON output....

Pricing

$8.67 / 1,000 results

Rating

0.0

(0)

Developer

πŸ‘ GetDataForMe

GetDataForMe

Maintained by Community

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Bookmarked

5

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0

Monthly active users

4 months ago

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Watsonshk Pharser Reviews Scraper

This Apify Actor is designed to scrape product reviews from Watsons Hong Kong (watsons.com.hk), extracting detailed information such as ratings, titles, review bodies, and metadata. It provides structured JSON output for easy analysis, making it invaluable for businesses and researchers seeking insights into customer feedback on products.

Features

  • Comprehensive Review Extraction: Captures full review details including ratings, titles, bodies, and sentiments from Watsons HK product pages.
  • Multi-URL Support: Handles multiple product URLs in a single run, allowing batch scraping for efficiency.
  • Structured JSON Output: Delivers clean, parseable data with fields like Product_Id, Review_Id, and Crawled_Date for seamless integration.
  • High Reliability: Built with robust error handling to manage site changes and ensure consistent data retrieval.
  • Fast Performance: Optimized for quick scraping with minimal resource usage, suitable for large-scale data collection.
  • Metadata Enrichment: Includes additional fields such as product segments, gender, country, and timestamps for deeper analysis.
  • Apify Integration: Fully compatible with Apify's platform for easy deployment, monitoring, and export options.

Input Parameters

ParameterTypeRequiredDescriptionExample
UrlsarrayNoA list of URLs to product pages on Watsons Hong Kong from which to scrape reviews.["https://www.watsons.com.hk/en/antibact-mini-wipes-aloe-7s/p/BP_811024"]

Example Usage

To run the Actor, provide input parameters in JSON format. Here's an example:

{
"Urls":[
"https://www.watsons.com.hk/en/antibact-mini-wipes-aloe-7s/p/BP_811024"
]
}

The output will be a JSON array of review objects, such as:

[
{
"Product_Id":"811024",
"Review_Id":"9059687202865",
"Rating":1,
"Title":"WALCH Walch Antibacterial Mini Wet Wipes Aloe 7wipes (BUTTERBEAR packaging dispatched randomly) | Papers | Watsons Hong Kong",
"Body":"\u8ca8\u4e0d\u5c0d\u8fa6\uff01\uff01\u6211\u843d\u55ae\u662f\u5982\u5716\u51fa\u73fe\u7684\u85cd\u767d\u5305\u88dd\u7684\u6d88\u6bd2\u6fd5\u5dfe\u8606\u8588\u8ff7\u4f607\u7247\uff0c\u4f46\u8981\u6211\u6536\u8ca8\u7684\u662f\u516812\u5305Sanrio\u9d28\u5b50\u5305\u88dd\u7684\u6fd5\u5dfe\uff1f\uff01\u800c\u4e14\u6bcf\u5305\u5305\u88dd\u5916\u9762\u6c61\u7cdf",
"Sentiment":null,
"Section":"",
"Higher_Topic":null,
"Granular_Topic":null,
"Source":"Watsons",
"Full_Review":"review-811024-WTCHK46436021: \u8ca8\u4e0d\u5c0d\u8fa6\uff01\uff01\u6211\u843d\u55ae\u662f\u5982\u5716\u51fa\u73fe\u7684\u85cd\u767d\u5305\u88dd\u7684\u6d88\u6bd2\u6fd5\u5dfe\u8606\u8588\u8ff7\u4f607\u7247\uff0c\u4f46\u8981\u6211\u6536\u8ca8\u7684\u662f\u516812\u5305Sanrio\u9d28\u5b50\u5305\u88dd\u7684\u6fd5\u5dfe\uff1f\uff01\u800c\u4e14\u6bcf\u5305\u5305\u88dd\u5916\u9762\u6c61\u7cdf",
"Review_Type":"Product Review",
"Title_Trans":"review-811024-WTCHK46436021",
"Body_Trans":"\u8ca8\u4e0d\u5c0d\u8fa6\uff01\uff01\u6211\u843d\u55ae\u662f\u5982\u5716\u51fa\u73fe\u7684\u85cd\u767d\u5305\u88dd\u7684\u6d88\u6bd2\u6fd5\u5dfe\u8606\u8588\u8ff7\u4f607\u7247\uff0c\u4f46\u8981\u6211\u6536\u8ca8\u7684\u662f\u516812\u5305Sanrio\u9d28\u5b50\u5305\u88dd\u7684\u6fd5\u5dfe\uff1f\uff01\u800c\u4e14\u6bcf\u5305\u5305\u88dd\u5916\u9762\u6c61\u7cdf",
"Full_Review_Trans":"review-811024-WTCHK46436021: \u8ca8\u4e0d\u5c0d\u8fa6\uff01\uff01\u6211\u843d\u55ae\u662f\u5982\u5716\u51fa\u73fe\u7684\u85cd\u767d\u5305\u88dd\u7684\u6d88\u6bd2\u6fd5\u5dfe\u8606\u8588\u8ff7\u4f607\u7247\uff0c\u4f46\u8981\u6211\u6536\u8ca8\u7684\u662f\u516812\u5305Sanrio\u9d28\u5b50\u5305\u88dd\u7684\u6fd5\u5dfe\uff1f\uff01\u800c\u4e14\u6bcf\u5305\u5305\u88dd\u5916\u9762\u6c61\u7cdf",
"Product_Name_Trans":"WALCH Walch Antibacterial Mini Wet Wipes Aloe 7wipes (BUTTERBEAR packaging dispatched randomly) | Papers | Watsons Hong Kong",
"Product_Segment":null,
"Gender":"Unisex",
"Product_Segment2":null,
"Year_Quarter":"2024-Q2",
"Sub_Brand":"",
"Format":null,
"Country":"Hong Kong",
"Date":"06-07-2024",
"Product_Name":"WALCH Walch Antibacterial Mini Wet Wipes Aloe 7wipes (BUTTERBEAR packaging dispatched randomly) | Papers | Watsons Hong Kong",
"Brand":"",
"URL":"https://www.watsons.com.hk/en/walch-walch-antibacterial-mini-wet-wipes-aloe-7wipes-butterbear-packaging-dispatched-randomly/p/BP_811024",
"Crawled_Date":"01-14-2026"
}
]

Use Cases

  • Market Research: Analyze customer feedback to identify trends in product satisfaction and preferences.
  • Competitive Intelligence: Compare reviews across similar products to benchmark performance.
  • Sentiment Analysis: Extract and process review text for emotional insights using NLP tools.
  • Price Monitoring: Correlate reviews with product data for pricing strategy decisions.
  • Content Aggregation: Build datasets for blogs, reports, or dashboards on consumer opinions.
  • Academic Research: Gather real-world data for studies on consumer behavior in retail.

Installation and Usage

  1. Search for "Watsonshk Pharser Reviews Scraper" in the Apify Store.
  2. Click "Try for free" or "Run".
  3. Configure input parameters (e.g., list of URLs).
  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 objects, each representing a product review. Key fields include:

  • Product_Id: Unique identifier for the product.
  • Review_Id: Unique identifier for the review.
  • Rating: Numerical rating (e.g., 1-5).
  • Title/Body: Review title and content (may include translations).
  • Sentiment/Topics: Analysis fields (often null if not processed).
  • Metadata: Fields like Source, Date, Country, Gender, and URLs for context.
  • Crawled_Date: Timestamp of data extraction.

Data is structured for easy parsing and integration into databases or analytics tools.

Support

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

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

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