Ohouse Shopping List Scraper

📌 What can you collect with Ohouse Shopping List Scraper?

This template enables the extraction of product listings information from OHouse Shopping.

Data is collected from Se. Se is a property service where users research homes, locations, prices, features, and listing availability.

💰 Pricing

This template currently has no per-line charge.

📦 Output

Ohouse Shopping List Scraper returns these fields:

• 브랜드
• 상품명
• 상품url
• 상품_이미지url
• 가격
• 할인율
• 평점
• 리뷰수
• 배송비
• 쿠폰

Example Data Preview:

{
  "브랜드": "우드레이",
  "상품명": "어반 아치형 노프레임 전신거울(거치대 포함)300/400/500/600/700/800",
  "상품url": "https://store.ohou.se/goods/2961039?affect_id=1&affect_type=StoreSearchResult",
  "상품_이미지url": "https://prs.ohousecdn.com/apne2/any/uploads/productions/v1-263895404236864.jpg?w=256&h=256&c=c&q=50",
  "가격": "39,000",
  "할인율": "44%",
  "평점": "4.8",
  "리뷰수": "6,033",
  "배송비": "무료배송",
  "쿠폰": null
}

🎯 Use Cases

• Compare property prices, locations, features, and listing availability.
• Monitor new listings and market changes over repeated runs.
• Build structured property datasets for research or lead qualification.
• Export listing URLs and fields for reporting, mapping, or enrichment.

🐙 Why Octoparse

• Ready-to-use Se workflow: Enter Keyword(up to 10), run Ohouse Shopping List Scraper, and review the structured rows returned for each source record.
• Useful results: The returned 브랜드, 상품명, 상품url, 상품 이미지url, 가격, 할인율, 평점, 리뷰수, 배송비, and 쿠폰 fields support comparison, monitoring, and reusable data workflows.
• Local runs: Run this template locally with the Octoparse desktop app.
• Export and reuse: Export the rows to CSV, Excel, JSON, databases, or cloud storage, or send them to reporting and AI workflows through Octoparse APIs.

You can schedule recurring runs, export the collected data, and reuse it through Octoparse OpenAPI or the AgentTools API. Scheduling and API access may require a paid Octoparse plan.

📝 Input

• Keyword(up to 10) (required): Enter one or more values, one per line.

🚀 How to Use

1. Open the template and select Try it or Start.
2. Complete the input fields listed above.
3. Run the task locally.
4. Review the output rows and export or process the structured data.

⚠️ Limitations

• Ohouse Shopping List Scraper runs locally, so keep your computer and Octoparse open while the task is running.
• Fields such as 리뷰수, 배송비, and 쿠폰 can be empty when the source record does not provide them.

💡 Tips

• Start with one or a few inputs and review the returned rows before scaling the task.
• Use the most specific valid Keyword(up to 10) to reduce unrelated or duplicate records.
• Use a stable URL or identifier from 브랜드, 상품명, 상품url, 상품 이미지url, 가격, 할인율, 평점, 리뷰수, 배송비, and 쿠폰 as the deduplication key when available.

❓ FAQ

Does Ohouse Shopping List Scraper collect complete detail-page data?

No. It collects the listing or search-result fields shown in Output; use a detail-page template when deeper record data is required.

Can I schedule and export data collected by Ohouse Shopping List Scraper?

Yes. You can schedule Ohouse Shopping List Scraper as a local run and export the collected data from Octoparse. Keep your computer and Octoparse open during scheduled local runs. Scheduling may require a paid Octoparse plan.

How much does Ohouse Shopping List Scraper cost?

This template is currently free of charge and has no per-line usage fee. Octoparse plan or resource limits may still apply.

🔗 Related Templates

• Ohouse Shopping Review Scraper - Use Ohouse Shopping Review Scraper with url values from this template for the next collection step.
• Amazon Product Listing Scraper (for France) - Use Amazon Product Listing Scraper (for France) for a comparable ecommerce collection scenario on another source.