Fashion marketplace analysts
Assortment snapshots
Track which brands and products surface for a keyword like 맨투맨, then compare discount and price bands across repeated exports.
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A ZIGZAG product listing scraper for turning search results on ZIGZAG into a structured CSV. Import the template, run the sample keyword search, and collect product rows with brand, product name, price, discount, rating signals, image URL, product URL, and raw listing text from the local desktop app.
CSV file
13
Auto-scroll
Local app
Free template
At a glance
ZIGZAG to CSV in one workflow
The template starts from a ZIGZAG search URL and exports one row per discovered product card. Use it for keyword snapshots, category research, merchandising checks, or price-monitoring inputs.
Built for infinite grids
The workflow waits for the page, scrolls repeatedly, harvests product IDs and image-backed cards, then stops when row counts stabilize instead of expecting a fixed page count.
Structured fields plus raw backup
Parsed columns make analysis easy, while raw_text preserves the original nearby listing text so analysts can audit blanks, Korean labels, shipping badges, or future layout changes.
No cloud queue required
The browser session and CSV export stay under your control in the local desktop app, useful when product research should not pass through a hosted scraper actor.
Who uses it
Fashion marketplace analysts
Assortment snapshots
Track which brands and products surface for a keyword like 맨투맨, then compare discount and price bands across repeated exports.
E-commerce operators
Pricing checks
Export visible product tags, shipping notes, ratings, review counts, and interest counts before feeding the CSV into internal pricing or merchandising sheets.
SEO and category researchers
Market discovery
Pair this ZIGZAG listing crawl with the Google SERP Scraper or Bing Search Export when marketplace visibility needs search-context evidence.
How to use
Download and import
Download the hosted JSON template, then import it into UScraper from your local desktop app workspace.
Review the search URL
The sample Navigate block opens https://zigzag.kr/search?keyword=%EB%A7%A8%ED%88%AC%EB%A7%A8. Replace the keyword when you want a different ZIGZAG search.
Let the page load and scroll
The workflow waits, sleeps briefly, injects JavaScript, and scrolls the infinite grid while collecting product IDs, image URLs, and nearby visible text.
Normalize listing fields
A second JavaScript step converts harvested card text into structured attributes such as brand, product name, discount, price, rating, and review count.
Export the CSV
Structured Export reads hidden row elements and creates zigzag-product-listing-crawler.csv with headers in the configured save folder.
Output preview
zigzag-product-listing-crawler.csvColumn
keyword
The ZIGZAG search keyword used for the run.
Column
brand
Brand or shop text inferred from the listing card.
Column
product_name
Product title text after metrics and badges are stripped out.
Column
discount_rate
Visible discount percentage when present.
Column
price
Displayed product price, including range markers when ZIGZAG shows them.
Column
product_tag
Badges such as fast dispatch, best, special, exclusive, or new.
Column
shipping
Shipping text such as free shipping or separate delivery fee.
Column
rating
Visible rating value when the card exposes it.
Column
review_count
Review count paired with the rating.
Column
interest_count
Interest or save count when available.
Column
image_url
ZIGZAG CDN image URL matched to the product card.
Column
product_url
Canonical product detail URL built from the product ID.
Column
raw_text
Cleaned source text preserved for QA and parser maintenance.
Sample rows
2 of many
| keyword | brand | product_name | discount_rate | price | product_tag | shipping | rating | review_count | interest_count | image_url | product_url | raw_text |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 맨투맨 | common unique | daily logo sweatshirt | 20% | 29,900원 | BEST | 무료배송 | 4.7 | 1,248 | 관심 3.2천 | common unique daily logo sweatshirt 20% 29,900원 BEST 무료배송 4.7 (1,248) | ||
| 맨투맨 | moodwear | overfit fleece sweatshirt | 15% | 34,000원 | 신상 | 배송비 별도 | 4.5 | 382 | 관심 940 | moodwear overfit fleece sweatshirt 15% 34,000원 신상 배송비 별도 |
This UScraper template
LocalHosted scraper actors
CloudRuns in the local desktop app
You see and control the browser session.
Runs on vendor infrastructure
Useful at scale, but less transparent to internal reviewers.
CSV in your chosen folder
The export file is created locally with fixed headers.
API or hosted dataset
Often tied to accounts, queues, and metered usage.
Search traffic stays under your control
No template step uploads rows elsewhere.
Queries pass through a third party
May need vendor review before marketplace research.
Free template import
Use with your UScraper license.
Credits or subscriptions
Costs can grow with row counts and schedules.
For related workflows, browse the UScraper template library, use the eBay Listings CSV Scraper for another marketplace export pattern, or install the app from UScraper download.
Public product pages can still be governed by ZIGZAG terms, robots rules, copyright, consumer protection rules, and local data laws. Use the template for modest internal research, do not bypass login walls or CAPTCHAs, and get legal review before redistributing rows, reselling datasets, or training models on the export.
Limits worth checking before production use
ZIGZAG card markup can change
The template relies on product IDs, image URLs, and nearby text. If ZIGZAG changes the listing layout, expect selector or parser maintenance before trusting the next CSV.
Some experiences may be region, login, or app gated
CAPTCHA, account prompts, regional pages, or app-only flows may require manual handling. Do not try to bypass protected states with more aggressive automation.
Keep commercial reuse reviewed
Use exports for approved internal research unless counsel clears redistribution, model training, or client-facing datasets. Local execution helps custody; it does not replace policy review.
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