Are you still manually conducting competitor product research?
When planning a new product, it is essential to check the specifications, prices, and components of competitor products. The issue is that the person in charge conducts this research by opening each online store one by one, copying the specifications into a table, and capturing the prices. When the number of products exceeds dozens, it takes days for a single research, and the comparison criteria fluctuate with each research period.
The language barrier adds complexity when dealing with overseas stores. To extract reviews and detailed specifications from sites like Amazon or Alibaba, separate translation work is required. As a result, understanding international competitive trends remains at a guesswork level.
Hashscraper collects data like this
Hashscraper collects detailed specifications, prices, components, and reviews of competitor products from domestic and international e-commerce and B2B malls at regular intervals. By dividing the specification items on the product detail page into fields, the information is organized in a comparable format even if the display varies across different sites. Reviews from international malls are collected with translations attached, allowing you to understand the content without language barriers.
Actual Crawling Data Example
{
"product_id": "B0XXXX1234",
"marketplace": "amazon_us",
"title": "20000mAh USB-C 65W Power Bank",
"brand": "CompetitorBrand",
"price": 39.99,
"currency": "USD",
"specs": {
"capacity_mah": 20000,
"output_w": 65,
"ports": "USB-C x1, USB-A x2",
"weight_g": 420
},
"components": ["본체", "USB-C 케이블", "파우치", "설명서"],
"rating": 4.3,
"review_count": 1827,
"collected_at": "2026-07-30"
}
Use Case: A South Korean Electronic Components Manufacturer
A small-scale electronic device manufacturer in South Korea had to research around 20 international competitor products whenever planning a new product lineup. Hashscraper was set up to collect competitor product lists from target malls such as Amazon and Alibaba in terms of specifications, prices, and reviews.
Crawling Settings
- Target Sites: Amazon (US, Japan), Alibaba, detailed pages of competitor products on domestic open markets
- Crawling Frequency: Weekly (prices, reviews), monthly (comprehensive reconfirmation of specifications)
- Collection Period: Ongoing to align with new product planning cycles
- Items Collected: Product name, brand, price, specification fields, components, rating, review content
Analyzable Items from Crawling Data
| Analysis Item | Utilization |
|---|---|
| Specification Comparison Table | Identifying the positioning of own products' specifications compared to competitor products, securing specification decision basis |
| Price Range Distribution | Checking price segments based on capacity and output for designing price positioning |
| Component Differences | Enhancing package planning through comparison of bundled components (cables, pouches, etc.) |
| Review Complaints | Prioritizing improvement based on collected complaints related to quality and durability |
| New Product/Discontinued Tracking | Detecting newly launched/discontinued products to respond to market changes |
AI Analysis
Collected reviews can be classified by sentiment and category along with translations, allowing you to summarize which areas receive the most complaints.
AI Analysis Example
{
"review_id": "r_88213",
"original_lang": "en",
"translated": "충전 속도는 만족스럽지만 두 달 만에 용량이 눈에 띄게 줄었다.",
"sentiment": "negative",
"category": ["내구성", "배터리 성능"],
"keywords": ["용량 감소", "수명"]
}
Other Use Cases
- Monitoring price discrepancies of the same product across distribution channels to review pricing policies
- Collecting procurement unit prices and lead time information from raw material and component suppliers' B2B malls
- Comparing own product reviews with competitor products and complaints side by side
Summary
Benchmarking competitor products becomes more reliable when based on collected data rather than relying on individual memory or impressions. By organizing specifications, prices, and reviews in the same format, you can repeatedly utilize them as a basis for product planning and quality improvement. With Hashscraper handling crawler operation, maintenance, and data monitoring, the personnel can focus on interpreting data and making decisions.
Related Articles
- From Crawling Data to Decision Making
- Outsourcing Crawling Process — From Inquiry to Initial Data, organized step by step
- Crawling Quotes, Why Do Prices Differ Among Companies — Breakdown of costs and hidden expenses
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