YesStyle Reviews Scraper: Collect Product Reviews & Ratings Instantly

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What Is YesStyle?

YesStyle is a leading Korean beauty and fashion e-commerce platform serving millions of customers globally. Each product listing contains hundreds of customer reviews with ratings, providing valuable insights into product performance, customer satisfaction, and market trends. Manually collecting and analyzing these reviews is laborious — the YesStyle Reviews Scraper automates extraction, delivering structured review data for analysis at scale.

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Overview

The YesStyle Reviews Scraper extracts customer reviews and ratings from YesStyle product detail pages, converting unstructured review sections into clean, queryable datasets. It is designed for:

• E-commerce analysts tracking product performance and customer sentiment
• Brand managers monitoring reputation and feedback across product lines
• Market researchers studying consumer preferences in K-beauty and fashion
• Developers building review aggregators or sentiment analysis systems
• Dropshippers and resellers evaluating product quality before listing

Key strengths include support for up to 200 reviews per product, configurable failure handling, and reliable extraction of reviewer metadata alongside review content.

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Input Format

The scraper accepts a JSON configuration object:

{
  "urls": [
    "https://www.yesstyle.com/nl/lilybyred-luv-beam-cheek-balm-11-colors-09-zesty-coral/info.html/pid.1118395107#productAnchor"
  ],
  "ignore_url_failures": true,
  "max_items_per_url": 200
}

Field	Description	Example
urls	Direct links to YesStyle product detail pages	https://www.yesstyle.com/[lang]/[product-name]/info.html/pid.[ID]
max_items_per_url	Maximum reviews collected per product (1–200)	200 extracts all available reviews
ignore_url_failures	If true, scraper continues if some URLs fail	true prevents batch runs from stopping

Tips for best results:

• Use product detail URLs ending with #productAnchor to ensure the review section loads
• Include language variants (e.g., /nl/, /en/, /de/) if scraping across regions
• For high-volume runs, set max_items_per_url to 200 and enable failure tolerance

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Output Format

Sample Output (Annotated)

{
  "rating": 100.0,
  "reviews": [
    {
      "title": "Loveee ",
      "product_id": 1118395107,
      "review_id": 42098748,
      "date_posted": "16 juni 2023",
      "images": [
        {
          "image_path": "https://ddvql06zg3s2o.cloudfront.net/review/20230619/42098748/932e649afc4a42c3b30779601ec9b29f.JPG",
          "thumb_path": "https://ddvql06zg3s2o.cloudfront.net/review/20230619/42098748/thumb_200831d1f6c248e2b956dbdb1fbe8beb.JPG"
        }
      ],
      "helpful_message": "98 of 407 people found this review helpful",
      "content_lines": [
        "I love this blush so much it blends so nicely and i’ve gotten so many compliments "
      ],
      "number_of_voted_helpful": 98,
      "is_translatable": true,
      "is_voted_helpful": false,
      "voted_not_helpful": false
    }
  ],
  "reviewer_name": "chloe yuen",
  "from_url": "https://www.yesstyle.com/nl/lilybyred-luv-beam-cheek-balm-11-colors-09-zesty-coral/info.html/pid.1118395107#productAnchor"
}

Each scraped review returns a focused dataset with three core fields:

Core Review Fields

Field	Meaning	Example
Rating	Star rating assigned by the reviewer (1–5 stars)	4.5, 5, 3
Reviews	Full review text written by the customer	"Great product! Works well with my skin type and lasts long."
Reviewer Name	Display name or username of the review author	"Sarah M.", "K-Beauty Enthusiast", "Jane_2024"

What Each Field Reveals

• Rating: Quantifies satisfaction on a scale; aggregating ratings shows overall product sentiment at a glance
• Reviews: Contains detailed feedback on product quality, performance, packaging, value, and use cases — essential for understanding why customers rated the product
• Reviewer Name: Identifies the author, enabling you to filter by reviewer history, segment by user type (first-time vs. repeat reviewers), or verify reviewer credibility

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How to Use

1. Find product URLs — Browse YesStyle and locate product detail pages (e.g., beauty, skincare, fashion). Copy the full product URL including the product ID and anchor.
2. Prepare your input — Add URLs to the urls array in JSON format. Set max_items_per_url to 200 for comprehensive review collection.
3. Enable failure handling — Set ignore_url_failures: true for batch runs spanning multiple products.
4. Run the scraper — Start the actor and monitor progress in the run log.
5. Analyze results — Export data as JSON or CSV, then analyze ratings distribution, sentiment trends, or reviewer demographics.

Troubleshooting:

• If reviews are not captured, verify the URL includes #productAnchor and loads the review section in your browser
• Some product pages may have review pagination; the scraper captures up to the configured limit
• Anonymous reviews appear with generic names like "Anonymous User" or "Guest"

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Use Cases & Business Value

• Sentiment analysis: Aggregate ratings and extract common positive/negative themes across reviews
• Product benchmarking: Compare average ratings and review volume across competing products
• Content curation: Build curated review summaries for marketing or product pages
• Customer insight: Identify recurring feedback on sizing, quality, or durability for product development
• Review monitoring: Track new reviews over time to detect reputation changes or quality issues

The YesStyle Reviews Scraper transforms scattered customer feedback into actionable intelligence, enabling data-driven decisions about product selection, inventory, and marketing strategy.

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Conclusion

The YesStyle Reviews Scraper delivers fast, reliable extraction of customer reviews and ratings at scale. Whether you're managing inventory, researching market trends, or analyzing sentiment, this scraper eliminates manual copy-pasting and provides clean, structured data ready for analysis. Start scraping today and unlock insights hidden in thousands of customer reviews.