Retail analysts
Price and assortment checks
Favorable to scraping
Export Ohouse product details to compare brand coverage, listed prices, discounts, coupons, and delivery messages across selected goods pages.
E-commerce Marketplace$50Free
Ohouse Shopping List Scraper
The Ohouse Shopping List Scraper helps teams scrape Ohouse product listings into a structured CSV without building a scraper from scratch. It opens configured Ohouse goods URLs, waits for the page, scrolls for lazy content, normalizes product-card data, and exports brand, product name, product URL, image URL, price, discount rate, rating, review count, delivery fee, and coupon fields.
Output
CSV
Columns
10
Input
Multi-URL
Blocks
6
Template
Free
Use cases
Who uses an Ohouse product scraper
Home and lifestyle sellers
Market research
Favorable to scraping
Build a spreadsheet of competing furniture, decor, storage, and interior products before planning category positioning or merchandising.
Data teams
Structured enrichment
Favorable to scraping
Use the Ohouse CSV export as a clean starting point for translation, matching, price history, BI dashboards, or manual review workflows.
Automation flow
How the Ohouse shopping workflow runs
The Navigate block starts with multiple Ohouse goods URLs. Add more product URLs to expand coverage, then let the loop process each URL in the same workflow rather than creating separate scrapers.
How to use
Export Ohouse products to CSV
1
Download and import
Download the hosted JSON template, then import it into UScraper from the template file.
2
Add Ohouse goods URLs
Open the Navigate block and replace or extend the sample URLs with the Ohouse product pages you want to collect.
3
Run a small test batch
Start with three to five goods URLs so you can confirm that page access, lazy images, and product metadata behave as expected.
4
Choose the export path
Check the Structured Export save folder and keep ohouse_shopping_scraper.csv or rename it for your project.
5
Run and review
Run the loop, open the CSV, and scan the first rows before increasing the number of Ohouse URLs.
Output preview
What the Ohouse CSV contains
ohouse_shopping_scraper.csvColumn
brand
Brand or maker text found near the product card or product metadata.
Column
product_name
Normalized Ohouse product title, with metadata fallback for detail pages.
Column
product_url
Absolute Ohouse goods URL for the captured product.
Column
product_image_url
Resolved product image URL when a non-placeholder image is available.
Column
price
Visible listed price, usually copied as displayed by Ohouse.
Column
discount_rate
Percent discount text when present on the page.
Column
rating
Visible star rating value when exposed in page text.
Column
review_count
Review count parsed beside the rating or review label.
Column
delivery_fee
Delivery message such as free delivery when visible.
Column
coupon
Coupon label or coupon discount text when available.
Sample rows
2 of many
| brand | product_name | product_url | product_image_url | price | discount_rate | rating | review_count | delivery_fee | coupon |
|---|---|---|---|---|---|---|---|---|---|
| Sample Home | Modular fabric sofa 3-seat warm gray | 329,000 | 22% | 4.8 | 1,284 | 무료배송 | 쿠폰 | ||
| Kitchen Lab | Stackable pantry storage box set | 19,900 | 15% | 4.7 | 642 | 배송비 별도 | 최대 10% 쿠폰 |
Headers are included; each configured goods URL can append rows underneath.
Comparison
Ohouse scraper vs cloud template runs
UScraper local template
EditableCloud scraper template
HostedData
CSV saves to your configured folder
Useful when product research files should stay in your local workflow.
Exports through a hosted workspace
Convenient for scheduled cloud jobs, but data leaves your desktop environment.
Setup
Block graph is visible and adjustable
Navigate, wait, scroll, normalize, export, and loop blocks can be edited.
Template behavior may be abstracted
Fast to start, but less transparent when page logic needs adjustment.
Price
Free template JSON
Import the hosted file and run it in the UScraper desktop app.
Usage often depends on credits
Large runs may be tied to subscription, cloud usage, or execution limits.
Frequently asked questions
Ohouse product pages may be publicly accessible, but automated collection can still be governed by Ohouse terms, robots directives, copyright rules, consumer protection law, and local privacy requirements. Use reasonable request volumes, avoid bypassing access controls, and get legal review before using Ohouse scraped data commercially.
Before you run
Practical limits and maintenance
Ohouse may challenge automated browsing, vary product availability by region, or load different content based on browser state. Run smaller batches first and avoid aggressive repeat runs.
Get Started
Download and use this template instantly
$50Free
What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
Open-source templates
UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.
Contribute on GitHubBrowse more templates in the library
All Templates