How to grasp global food and beverage trends through overseas e-commerce crawling

How to identify global food and beverage trends in overseas e-commerce. Automatically collect product data using a hash scraper. Detailed information such as product name, ingredients, and nutritional information provided.

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How to grasp global food and beverage trends through overseas e-commerce crawling

How do you determine which products sell well overseas?

I want to know what sauces are popular in the United States these days, but it's difficult to go into Amazon and look for them one by one.


If you are a food and beverage manufacturer, you must be curious about overseas market trends. Information such as which products are prominently featured on overseas e-commerce platforms like Amazon, Trader Joe's, and Whole Foods, and the composition of popular products, is necessary for planning new products.


However, there are difficulties in directly checking overseas sites.

  • It is cumbersome to periodically check popular products by category
  • It takes a long time to compile detailed information such as ingredient lists and nutritional information
  • Checking multiple channels requires entering each one to confirm
  • To track trends, data needs to be continuously collected

There are limitations to manually checking one by one.



Automatically Collect Product Data from Overseas E-commerce Sites through Web Scraping

By using HashScraper, you can automatically collect product information from overseas e-commerce sites like Amazon and Trader Joe's. Detailed information such as ingredient lists and nutritional information is collected along with product names and prices.


Example of Actual Scraped Data - Basic Product Information

{
  "Channel": "Amazon US",
  "Category": "Sauces & Condiments",
  "Product Name": "Organic Gochujang Korean Chili Paste",
  "Brand": "OO Foods",
  "Price": "$8.99",
  "Best Seller Rank": "#127 in Asian Sauces",
  "Rating": "4.6",
  "Review Count": "2,847",
  "Collected Date": "2025-01-06"
}


Example of Actual Scraped Data - Ingredient and Nutritional Information

{
  "Channel": "Amazon US",
  "Product Name": "Organic Gochujang Korean Chili Paste",
  "Ingredients": "Organic Brown Rice, Organic Red Pepper Powder, Organic Soybeans, Sea Salt, Organic Rice Syrup",
  "Allergens": "Contains: Soy",
  "Serving Size": "1 tbsp (18g)",
  "Calories": "35",
  "Sodium": "250mg",
  "Sugar": "4g",
  "Certifications": ["USDA Organic", "Non-GMO", "Vegan"],
  "Country of Origin": "South Korea"
}


Information from product pages such as ingredient lists, nutritional information, allergy information, and certification marks is collected in a structured format. This allows for easy comparison of the ingredient compositions of competing products.



Data Items Available for Collection

Here are the food and beverage product data that can be collected from overseas e-commerce sites.


Basic Information

| 항목 | 설명 |
|------|------|
| 상품명 | 제품 풀네임 |
| 브랜드 | 제조사/브랜드명 |
| 가격 | 판매가, 할인가, 단위당 가격 |
| 판매 순위 | 카테고리 내 베스트셀러 순위 |
| 별점/리뷰 수 | 평균 별점, 리뷰 개수 |
| 상품 이미지 | 패키지 이미지 URL |


Ingredient and Nutritional Information

| 항목 | 설명 |
|------|------|
| 성분표 (Ingredients) | 원재료 전체 목록 |
| 영양성분 (Nutrition Facts) | 칼로리, 나트륨, 당류, 단백질 등 |
| 알레르기 정보 | 대두, 밀, 견과류 등 알레르겐 표시 |
| 인증 마크 | Organic, Non-GMO, Vegan, Kosher 등 |
| 원산지 | Country of Origin |
| 용량/중량 | 제품 사이즈, 단위 |


Additional Information

| 항목 | 설명 |
|------|------|
| 상품 설명 | 제품 소개 텍스트 |
| 사용 방법 | 조리법, 활용 팁 |
| 보관 방법 | 냉장/냉동/실온 보관 |
| 유통기한 | 소비기한 정보 |



Use Case: Researching Overseas Trends for Food and Beverage Manufacturers

A domestic food and beverage manufacturer collected data from overseas e-commerce sites to plan new products for export.


Scraping Settings

  • Target Channels: Amazon US, Trader Joe's, Whole Foods
  • Categories for Collection: Sauces/Seasonings, Snacks, Beverages
  • Items Collected: Product information + Ingredient lists + Nutritional information
  • Scraping Frequency: Weekly


Utilization of Collected Data

| 활용 목적 | 수집 데이터 | 활용 방법 |
|-----------|------------|-----------|
| 트렌드 파악 | 베스트셀러 순위, 리뷰 수 | 인기 상승 중인 제품군 확인 |
| 성분 벤치마킹 | 성분표, 영양정보 | 경쟁 제품의 원재료 구성 비교 |
| 가격 책정 | 가격, 용량 | 카테고리별 가격대 분석 |
| 인증 트렌드 | 인증 마크 | Organic, Non-GMO 등 인증 보유 비율 |
| 패키지 참고 | 상품 이미지 | 해외 시장 패키지 디자인 트렌드 |


The collected data is organized in Excel and used by the product planning team to develop new product concepts.



Other Use Cases


Planning New Product Ingredients

By comparing and analyzing ingredient lists of popular overseas products, you can identify trending ingredient combinations. For example, you can find out how many "low-sodium," "sugar-free," or "organic" products are available.

Identifying Certification Trends

By identifying which certifications such as USDA Organic, Non-GMO, Vegan, and Kosher are most common, you can prepare the necessary certifications in advance for export.

Developing Pricing Strategies

By analyzing the price ranges of products in the same category, you can set appropriate prices when entering the market.


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 — Integration with internal systems
  • DB Integration — Direct loading into internal analysis systems

Summary

Overseas market trends can be identified through local e-commerce data. By collecting data through web scraping, you can gather information on which products are selling well, their ingredient compositions, and what certifications they have all at once without the need to browse the sites manually.

Web scraper operation, maintenance, and monitoring are all handled by HashScraper. Even in the event of policy changes on overseas e-commerce platforms or collection errors, there is no need for customers to respond directly.


Get Started Now

With HashScraper, you can automatically collect product information from overseas e-commerce platforms like Amazon.

If you need crawling for other channels like Trader Joe's or Whole Foods, please contact us.


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