How to identify beauty trends and new products through YouTube crawling

Learn how to identify beauty trends and new products through YouTube crawling. Don't miss out on recommended products from beauty creators!

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How to identify beauty trends and new products through YouTube crawling

How do you keep track of what's trending these days?


I want to know what cosmetics are being mentioned on YouTube these days, but I can't watch all the videos.


Trends in the beauty industry change rapidly. Products recommended by beauty creators on YouTube often become hit items. The problem is that it's not easy to keep up with this trend.

This situation eventually leads to:

  • Unable to watch all "new cosmetics recommendation" videos that are uploaded daily

  • Difficult to quantitatively determine which products are frequently mentioned

  • Not knowing how competitor products are being evaluated on YouTube

  • Responding late to trends due to late awareness

It is difficult to keep up with the speed manually by searching for and organizing videos.



Automatically Collect Trend Data with YouTube Crawling

By using Hashscraper, you can automatically collect beauty-related videos and comment data on YouTube. By collecting videos that are searched with keywords like "cosmetics recommendation," "new product review," "beauty item recommendation," daily, you can quantitatively analyze trend changes.


Actual Crawling Data Example - YouTube Video

{
  "Channel": "YouTube",
  "Video Title": "2025 상반기 화장품 신상 추천 TOP 10",
  "Channel Name": "뷰티크리에이터OO",
  "View Count": "245,000",
  "Like Count": "8,200",
  "Comment Count": "892",
  "Upload Date": "2025-01-03",
  "Video URL": "https://youtube.com/watch?v=XXXXXXX",
  "Description": "올해 상반기에 새로 나온 화장품 중에서 진짜 좋았던 제품들만 모았어요..."
}


Actual Crawling Data Example - Comments

{
  "Channel": "YouTube",
  "Video Title": "2025 상반기 화장품 신상 추천 TOP 10",
  "Comment Body": "3번 토너 저도 써봤는데 진짜 좋아요! 수분감이 오래가요",
  "Author": "user_****",
  "Like Count": "45",
  "Comment Date": "2025-01-04"
}


You can collect video metadata (title, views, likes, comments) and comment content together to understand which products are mentioned and the reactions they receive.



Use Case: Monitoring Beauty Trends on a Beauty Platform

We wanted to understand beauty trends using YouTube data on a domestic beauty platform. The goal was to select recommended products on the platform or discover noteworthy items among new products early.


Crawling Settings

  • Target Channel: YouTube

  • Search Keywords: "new cosmetics recommendation," "beauty item recommendation," "beauty sale," "cosmetics haul," etc.

  • Items to Collect: Video metadata, comments

  • Crawling Frequency: Once a day


Analyzed Items with Crawling Data

| 분석 항목 | 활용 방법 |
|-----------|-----------|
| 제품 언급 빈도 | 영상 제목·설명·댓글에서 특정 제품이 언급되는 횟수 집계 |
| 조회수 트렌드 | 높은 조회수를 기록한 영상에서 공통적으로 언급되는 제품 파악 |
| 댓글 반응 분석 | 제품별 긍정/부정 반응, 구매 의향 표현 분석 |
| 크리에이터 동향 | 어떤 크리에이터가 어떤 제품을 추천하는지 매핑 |
| 신상품 발굴 | 최근 출시 제품 중 빠르게 언급량이 증가하는 아이템 탐지 |


Quantitative Results

| 항목 | 수치 |
|------|------|
| 월간 수집량 | 120만 건 (SNS 전체) |
| 일간 수집량 | 6,000건 |
| 분석 주기 | 일 단위 자동 수집 |


By accumulating large amounts of data over a long period, we analyze trend change patterns and utilize them to detect popular items early.



Other Use Cases


Monitoring Virality of Own Products

You can track how much your product is mentioned on YouTube and which creators have reviewed it.


Monitoring Competitor Products

By understanding the reactions of competitor's new products on YouTube, you can develop response strategies.


Measuring Influencer Marketing Effectiveness

By collecting views and comment reactions on sponsored videos, you can measure influencer marketing ROI.



Data Integration Methods

The collected data is provided in raw data format, and you can choose the integration method according to your needs.

  • Excel Download

  • Email Sending

  • API Integration

  • DB Integration



Summary

Beauty trends are first seen on YouTube. By quickly collecting and analyzing data such as products recommended by creators and new products mentioned in comments, you can seize trends.

Hashscraper handles crawler operation, maintenance, and monitoring. You don't need to directly respond to platform policy changes or collection errors.

By understanding trends based on data, you can make decisions based on evidence rather than intuition.



Get Started Now

With Hashscraper, you can automatically collect YouTube video and comment data.

Go to YouTube Video Collection Bot


If you need customized crawling or AI analysis, please contact us.

Inquire about Crawling



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