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ZIGZAG Product Listing Scraper

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.

You get

CSV file

Columns

13

Listing depth

Auto-scroll

Runtime

Local app

Cost

Free template

At a glance

Export ZIGZAG products without building a crawler

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

Built for marketplace, fashion, and growth teams

Fashion marketplace analysts

Assortment snapshots

Favorable to scraping

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

Favorable to scraping

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

Nuanced outcome

Pair this ZIGZAG listing crawl with the Google SERP Scraper or Bing Search Export when marketplace visibility needs search-context evidence.


How to use

Run the ZIGZAG product listing crawler

1

Download and import

Download the hosted JSON template, then import it into UScraper from your local desktop app workspace.

2

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.

3

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.

4

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.

5

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

What the ZIGZAG CSV export includes

zigzag-product-listing-crawler.csv
CSV - UTF-8 - Create

Column

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

keywordbrandproduct_namediscount_ratepriceproduct_tagshippingratingreview_countinterest_countimage_urlproduct_urlraw_text
맨투맨common uniquedaily logo sweatshirt20%29,900원BEST무료배송4.71,248관심 3.2천common unique daily logo sweatshirt 20% 29,900원 BEST 무료배송 4.7 (1,248)
맨투맨moodwearoverfit fleece sweatshirt15%34,000원신상배송비 별도4.5382관심 940moodwear overfit fleece sweatshirt 15% 34,000원 신상 배송비 별도
Headers included - one row per captured listing card

UScraper vs hosted ZIGZAG scraper actors

This UScraper template

Local

Hosted scraper actors

Cloud
Runtime

Runs 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.

Output

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.

Privacy

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.

Cost

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.


Frequently asked questions

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.

Practical limitations

Limits worth checking before production use

Layout drift

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.

Access

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.

Compliance

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.

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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FAQ

Frequently asked questions

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