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Hwahae Category Trending Ranking Scraper

The Hwahae category trending ranking scraper turns a fixed Hwahae K-beauty ranking preview into a structured CSV export. It is built for analysts who need product rank, brand, product name, rating, review count, image URL, category, and tag without rebuilding a Korean beauty ranking sheet by hand.

Output

hwahae.csv

Columns

8

Inputs

30 URLs

Runtime

Local desktop

Template

Free import

At a glance

What this Hwahae ranking scraper extracts

Ranking rows ready for spreadsheets

The export captures the useful market-research fields in stable columns: category, tag, rank, image URL, brand, product name, rating, and review count.

Multi-URL workflow, not manual copy paste

The Navigate block loops through the supplied Hwahae CDN image URLs, waits for each image element, exports one mapped product row, then continues to the next input.

Runs from your own machine

The workflow is designed for UScraper's local desktop app, so output lands in a folder you control instead of a marketplace actor dashboard.

Built as an editable starter template

Because the source analysis exposed image URLs rather than a public listing DOM, the template uses URL-keyed mappings. You can replace or expand those mappings when you refresh the ranking source.

Who uses it

K-beauty ranking research use cases

Beauty market researchers

Category snapshots

Favorable to scraping

Export a clean Hwahae category ranking CSV when you need a quick view of which skin-care products are trending, which brands appear repeatedly, and how review counts support the displayed order.

Brand and retail teams

Competitive tracking

Favorable to scraping

Compare rank, rating, and review volume across products before planning assortment, creator seeding, or marketplace positioning for Korean beauty launches.

Data operations teams

Workflow handoff

Favorable to scraping

Start from a working Hwahae data extractor instead of a blank automation canvas, then adjust URLs, save paths, and mappings for your own reporting cadence.


How to use

Run the Hwahae scraper in five steps

1

Download and import

Use the download button on this page, then import the JSON into the UScraper desktop app.

2

Review the URL list

The Navigate block contains the 30 Hwahae product image URLs found in the analyzed preview. Replace or extend that list when you have a newer ranking source.

3

Set the export folder

Structured Export writes hwahae.csv with headers and append mode. Change the save location before your first run if your team uses a shared project folder.

4

Run the local workflow

The graph follows Navigate -> Wait for Page Load -> Wait for Element -> Structured Export -> Loop Continue. That means each URL loads, the product image is detected, one row is exported, and the loop advances.

5

Open the CSV

Load the file in Excel, Sheets, a BI tool, or your internal K-beauty trend model. Sort by rank, filter by brand, or compare rating and review count against your own sales data.

Output preview

hwahae.csv
CSV - UTF-8 - Append

Column

category

Category label from the workflow mapping.

Column

tag

Ranking tab or filter label, such as overall.

Column

rank

Product position in the analyzed preview.

Column

image

Hwahae CDN product image URL.

Column

brand

Korean brand name associated with the product ID.

Column

product_name

Product display name mapped from the URL.

Column

rating

Displayed average rating.

Column

review_count

Displayed review volume.

Sample rows

3 of many

categorytagrankimagebrandproduct_nameratingreview_count
스킨케어전체1...리브엠워터핏 8중 수분착붙 패드4.682,921
스킨케어전체4...아누아PDRN 히알루론산 캡슐 100 세럼4.606,897
스킨케어전체5...토리든다이브인 저분자 히알루론산 세럼4.5966,287
Headers included - each configured Hwahae product URL appends one mapped ranking row

You can pair this page with other local marketplace scrapers when you need a broader beauty or retail dataset. Useful siblings include the Lipscosme Product Info Scraper, Lipcosme Product List Scraper, W Concept Product Listing Crawler, and the full UScraper template library.


Frequently asked questions

Scraping public pages can still be limited by Hwahae terms, robots directives, copyright, privacy rules, or local law. Use modest volume, do not bypass access controls, avoid redistributing protected content, and get legal advice before using the CSV for commercial datasets.

Before you scale

Practical limitations and maintenance notes

Keep these guardrails visible

Source shape

The preview used image URLs, not a full listing page

The current template maps product IDs from Hwahae CDN image URLs. If you later scrape a live ranking page, replace the URL-keyed mappings with selectors from that page.

Pacing

Do not hammer Hwahae with large repeated runs

Start with the bundled 30 rows, keep waits in place, and avoid parallel unattended sessions. If Hwahae changes access behavior or shows verification, pause the workflow.

Compliance

Treat rankings and reviews as governed third-party data

Review Hwahae's terms and your local data rules before redistributing product names, ratings, review counts, or derived trend datasets.

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 GitHub

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Available on Windows 10+ and macOS 12+ · Need help? [email protected]