Hwahae.com Reviews Scraper: Extract K-Beauty Product Reviews

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What Is Hwahae.com?

Hwahae (화해) is one of South Korea's most trusted beauty and cosmetics platforms, hosting millions of user-generated product reviews across skincare, makeup, and haircare categories. Its review data is particularly valuable for understanding consumer sentiment in the competitive K-beauty market. Manually collecting this data is impractical at scale — the Hwahae Reviews Scraper automates extraction with granular filtering options.

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Overview

The Hwahae.com Reviews Scraper pulls structured review data for any product on the platform, with support for filtering by age group and star rating. It is built for:

• Brand managers monitoring product perception across demographics
• Market researchers analyzing K-beauty consumer trends
• E-commerce teams benchmarking competitor products
• Data scientists building sentiment analysis datasets

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Input Format

{
  "product_id": "2078467",
  "age_group": "20",
  "rating": "5",
  "offset": 20,
  "max_items_per_url": 200,
  "ignore_url_failures": true
}

Field	Type	Description
product_id	string	Product ID from the Hwahae URL. Example: /en/products/db/2078467/reviews → 2078467
age_group	select	Filter reviews by reviewer age group: "10" = 10s, "20" = 20s, "30" = 30s, "40" = 40s+. Leave blank for all ages.
rating	select	Filter by star rating: "5" through "1". Leave blank to return all ratings.
offset	integer	Starting position for pagination. Use 0 to start from the first review, or a higher number to resume a previous run. Default: 0.
max_items_per_url	integer	Maximum reviews to collect per product. Default: 20.
ignore_url_failures	boolean	If true, the scraper continues past errors instead of stopping. Recommended: true for bulk runs.

Tip: To find a product ID, open any Hwahae product review page and extract the numeric segment from the URL: .../products/db/**2078467**/reviews.

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Output Format

Sample output

{
  "id": 10858722,
  "rating": 5,
  "good_text": "Sau khi thoa, tôi cảm thấy da được cấp ẩm sâu sắc và đầy đủ. Nhờ có các hạt vi mô, da tôi vẫn giữ độ ẩm tươi mát cho đến sáng hôm sau mà không bị căng chút nào.\n\nNgay cả khi da tôi đang trong tình trạng nhạy cảm hoặc bị kích ứng, sản phẩm này vẫn không gây cảm giác nóng rát hay gây mụn. Tôi hoàn toàn yên tâm và quyết định sử dụng nó thường xuyên.",
  "bad_text": "Về cơ bản không có điểm yếu nào đáng kể, nhưng nếu phải chỉ ra thì kết cấu sản phẩm hơi nặng một chút. Với những người thích kem dưỡng ẩm nhẹ hơn, có thể ban đầu sẽ cảm thấy hơi dầu hoặc nặng nề.",
  "addition_text": "",
  "blind": 0,
  "created_at": "2026-05-27T01:37:34",
  "modified_at": "2026-05-27T01:37:34",
  "like_count": 0,
  "comment_count": 0,
  "is_liked": false,
  "is_scrapped": false,
  "is_followed": false,
  "user_review_count": 10,
  "is_ggom_event": false,
  "ggom_event_popup_text": null,
  "is_validated": true,
  "validation_popup_text": null,
  "images": [],
  "user": {
    "id": 12101016,
    "nickname": "온하늘isa",
    "image_url": null,
    "gender": "여성",
    "birth_year": 1999,
    "is_active": true,
    "is_admin": false,
    "profile_options": [
      {
        "id": 4,
        "option_key": "skin_type_combination",
        "option_name": "복합성"
      },
      {
        "id": 13,
        "option_key": "skin_concern_atopy",
        "option_name": "아토피"
      },
      {
        "id": 15,
        "option_key": "skin_concern_black_head",
        "option_name": "피지/블랙헤드"
      },
      {
        "id": 18,
        "option_key": "skin_concern_wrinkle",
        "option_name": "주름/탄력"
      },
      {
        "id": 19,
        "option_key": "skin_concern_pore",
        "option_name": "모공"
      },
      {
        "id": 21,
        "option_key": "skin_concern_dead_skin",
        "option_name": "각질"
      }
    ],
    "email_id": "is********"
  },
  "product": {
    "id": 2078467,
    "encrypted_product_id": "21b600c77e682bfcc6ce638b27315bc8",
    "name": "아토베리어365 크림",
    "image_url": "https://img.hwahae.co.kr/products/2078467/2078467_20231121171749.jpg",
    "brand": {
      "id": 711,
      "name": "에스트라",
      "alias": "AESTURA",
      "full_name": "에스트라 (AESTURA)"
    }
  },
  "likes": [],
  "is_recommended": true,
  "view_count": 13,
  "review_type": "SHOPPING",
  "rewrite_badge": "REPURCHASE",
  "is_translated": true,
  "original_product": null,
  "from_url": "https://www.hwahae.com/en/products/db/2078467/reviews"
}

Each review record contains up to 28 fields:

Review Content

Field	Meaning
ID	Unique review identifier
Rating	Star rating given by the reviewer (1–5)
Good Text	Reviewer's positive comments about the product
Bad Text	Reviewer's negative comments or drawbacks
Addition Text	Any supplementary notes added by the reviewer
Images	Array of image URLs attached to the review
Review Type	Category of review (e.g., standard, event-based)
Is Recommended	Whether the reviewer recommends the product
Is Translated	Whether the review has been auto-translated
Original Product	The original product referenced if translation applies

Timestamps

Field	Meaning
Created At	When the review was first submitted
Modified At	Last edit timestamp

Engagement Metrics

Field	Meaning
Like Count	Total likes received on the review
Comment Count	Number of comments on the review
View Count	How many times the review has been viewed
Is Liked	Whether the current session user has liked the review
Is Scrapped	Whether the review has been bookmarked/saved

Reviewer Info

Field	Meaning
User	Reviewer profile metadata (username, profile image, etc.)
User Review Count	Total number of reviews written by this user
Is Followed	Whether the reviewer is followed by the current user
Likes	Detailed like metadata

Visibility & Validation

Field	Meaning
Blind	Whether the review is hidden/moderated
Is Validated	Whether the review passed Hwahae's verification process
Validation Popup Text	Message shown if validation is triggered
Rewrite Badge	Badge displayed if the reviewer rewrote their review

Event Flags

Field	Meaning
Is Ggom Event	Whether the review is part of a Ggom promotional event
Ggom Event Popup Text	Popup message associated with the Ggom event

Product Reference

Field	Meaning
Product	Product metadata linked to this review

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How to Use

1. Get the product ID — Open a Hwahae product review page and copy the numeric ID from the URL (e.g., 2078467).
2. Set filters — Choose age_group and rating to narrow results, or omit them for unfiltered data.
3. Set pagination — Use offset: 0 for a fresh run. To paginate, increment by max_items_per_url.
4. Run and export — Download results as JSON or CSV.

Best practices:

• Use rating: "1" combined with age_group filters to surface demographic-specific pain points.
• For full review datasets, run multiple times incrementing offset by max_items_per_url.
• Set ignore_url_failures: true to ensure uninterrupted bulk collection.

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Use Cases & Business Value

• Sentiment analysis: Train NLP models on real K-beauty consumer language using Good Text / Bad Text fields
• Demographic insights: Compare age_group segments to understand which age groups respond best to a product
• Influencer research: Identify high-engagement reviewers via Like Count, View Count, and User Review Count
• Competitive intelligence: Benchmark your product's review profile against competitors

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Conclusion

The Hwahae.com Reviews Scraper unlocks structured access to one of Asia's richest beauty review datasets. With fine-grained filtering, rich metadata, and 28 output fields per review, it delivers actionable insights for brand strategy, product development, and market research — without manual effort.