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29CM Product Listing Scraper for CSV Export logo

29CM Product Listing Scraper for CSV Export

This 29CM product listing scraper turns 29CM search result pages into a structured CSV export for fashion ecommerce research. Import the workflow into UScraper, edit the sample search keyword, and collect brand, product name, price, discount, coupon, shipping, likes, rating, review count, image link, and product link fields without building a crawler from scratch.

Output

CSV file

Columns

13

Pages

10 URLs

Pacing

40s waits

Template

Free

At a glance

Export 29CM products without manual copy-paste

This template is built for 29CM search and listing pages. The sample run uses a keyword search for pajama products, but the Navigate block is editable: replace the keyword and page URLs when you need another category, trend, or merchandising snapshot. UScraper sets a stable browser size, opens each URL, waits for product cards that link to catalog pages, pauses briefly, and then runs Structured Export in append mode.

29CM to CSV in one run

Export one row per listing card instead of copying Korean marketplace product names, prices, coupon flags, shipping notes, and review signals by hand.

Pagination is already wired

The workflow loops through 10 known search-result URLs and appends all matched product cards into one spreadsheet-ready file.

Commercial fields stay together

Brand, product name, price, discount, coupon, shipping, new-product status, likes, and rating/review count stay beside the source links for audit.

Runs in a local desktop app

The browser session and CSV stay in your UScraper workspace unless you add your own upload, sync, or sharing block.

Who uses it

Use cases for a 29CM product data export

Fashion marketplace analysts

Assortment snapshots

Favorable to scraping

Track which brands surface for a search term, then compare visible prices, discounts, coupon badges, shipping labels, and review counts across repeated exports.

Ecommerce operators

Price checks

Favorable to scraping

Collect current listing data before updating merchandising sheets, competitor dashboards, or category-level pricing notes.


How to use

Run the 29CM product listing crawler

1

Download and import

Download the hosted JSON template and import it into UScraper.

2

Review the search URLs

Open the Navigate block and replace the sample keyword or page list with the approved 29CM search, category, or listing URLs for your batch.

3

Keep the waits in place

The workflow waits for page load, checks for product listing cards, and adds a short sleep so late-rendered price and badge text can appear.

4

Confirm the export path

Structured Export writes 29cm_product_listing_crawler_v3.csv with headers and append mode enabled.

5

Run and open the CSV

Start the workflow, let Loop Continue process every configured URL, then review the file in Excel, Sheets, or your internal data pipeline.

Output preview

What the 29CM CSV export includes

29cm_product_listing_crawler_v3.csv
CSV - UTF-8 - Append

Column

keyword

Search keyword parsed from the current 29CM URL.

Column

product_count

Visible total result count when 29CM exposes it.

Column

brand

Brand text inferred from the listing card before the product name.

Column

product_name

Product title from the listing card, link title, or image alt text.

Column

product_link

The 29CM catalog URL for the product.

Column

image_link

Current image source or image URL from the card.

Column

discount_rate

Visible percentage discount when present.

Column

price

Displayed price with the Korean won suffix removed.

Column

coupon_offer

Coupon flag when the card includes coupon text.

Column

shipping_fee

Shipping label such as free shipping or conditional shipping.

Column

is_new

Yes/no flag based on NEW or Korean new-product labels.

Column

likes_count

Visible likes, wish, or interest count when available.

Column

rating_review_count

Combined rating and review count, such as 4.8 (124).

Sample rows

1 of many

keywordproduct_countbrandproduct_nameproduct_linkimage_linkdiscount_ratepricecoupon_offershipping_feeis_newlikes_countrating_review_count
pajama1,284REST & COSoft cotton pajama set18%69,000CouponFree shippingNo8424.7 (118)
Headers included - one row per matched 29CM listing card

UScraper vs hosted 29CM scraping services

This UScraper template

Local

Hosted scraper services

Cloud
Runtime

Runs in the local desktop app

You can see the browser session and inspect the workflow before export.

Runs on vendor infrastructure

Useful for managed scale, but less transparent for internal review.

Output

CSV in your chosen folder

Append mode stacks every configured result page into one file.

Hosted dataset or API

Often tied to credits, queues, account storage, or request billing.

Privacy

No bundled cloud upload

Rows remain local unless you add another destination.

Queries pass through a third party

May require vendor review for sensitive product research.

Cost

Free template import

Use it with your UScraper workspace.

Credits or subscriptions

Pricing can rise with schedules, retries, and row volume.

For adjacent ecommerce workflows, browse the UScraper template library, compare the WConcept product scraper, or use the ZIGZAG product listing scraper for another Korean fashion marketplace export pattern.


Frequently asked questions

Public 29CM product pages can still be governed by 29CM terms, robots rules, copyright, consumer protection rules, marketplace policies, and local data laws. Use the template for approved internal research, keep request volume modest, do not bypass CAPTCHAs or account gates, and get legal review before redistributing exported rows.

Before you scale

Practical limitations and maintenance notes

Guardrails for reliable 29CM exports

Pacing

Keep batches polite

Large unattended page lists can trigger throttling, verification, or partial rendering. Increase waits before increasing volume.

Layout drift

Listing cards can change

Empty prices, missing image links, or blank rating fields usually mean 29CM changed page markup and the Structured Export columns need maintenance.

Policy

Review reuse before distribution

Treat the CSV as research input unless counsel clears redistribution, resale, 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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Available on Windows 10+ and macOS 12+ · Need help? [email protected]