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โ‡ฑ Gmarket KR $1๐Ÿ’ฐ URL Keyword and Review Scraper ยท Apify


๐Ÿ‘ Gmarket KR $1๐Ÿ’ฐ URL Keyword and Review Scraper avatar

Gmarket KR $1๐Ÿ’ฐ URL Keyword and Review Scraper

Pricing

from $1.00 / 1,000 results

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Gmarket KR $1๐Ÿ’ฐ URL Keyword and Review Scraper

Scrape product listings and customer reviews from Gmarket.co.kr into clean JSON datasets. Supports keyword search, product URLs, or review-only mode by product ID. Lightweight, free-tier friendly, and runs without a browser.

Pricing

from $1.00 / 1,000 results

Rating

0.0

(0)

Developer

๐Ÿ‘ AbotAPI

AbotAPI

Maintained by Community

Actor stats

0

Bookmarked

5

Total users

3

Monthly active users

4 days ago

Last modified

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Gmarket Global Scraper

Sample shape below is illustrative; values are placeholders, not from a live listing.

Pull product listings AND customer reviews from Gmarket Global (the English-language storefront of one of Korea's biggest marketplaces) into a clean JSON dataset. Two modes: keyword search or URL paste. One toggle flips the same flow from "one record per product" to "one record per review." Detail enrichment is on by default and adds the full seller disclosure (business name, manager, customer-service phone, business registration, e-commerce registration).

Why this scraper

  • 25+ product fields per record, with optional detail enrichment that adds the legally-mandated Korean seller info (company name, manager name, customer-service phone, business registration number, e-commerce sales registration).
  • Flip "Reviews only" to scrape reviews of every matching product instead of the products themselves.
  • English titles by default (the global storefront serves English).
  • KRW and USD prices side by side, plus original-vs-sale price and discount percent.
  • Every record also carries a raw block with the verbatim upstream API response, so no field is ever silently dropped.
  • Datacenter proxy works out of the box on the free Apify plan.

Data you get

Product records (default)

FieldExample
goodsCode"0000000001"
title"Sample Product Title"
linkUrl"https://mg.gmarket.co.kr/Item?goodscode=0000000001"
imageUrl"https://gdimg.gmarket.co.kr/0000000001/still/280?ver=0"
additionalImages["https://gdimg.gmarket.co.kr/.../shop_img/000/000/0000000001.jpg"]
sellPriceKrw22800
originalPriceKrw"22,800"
salePriceKrw"22,800"
currencyPrice"$15.75"
discountRate"0"
isFreeShippingtrue
deliveryInfo"Free"
deliveryFee"0"
sellerCustNo"000000000"
miniShopHandle"samplestore"
miniShopUrl"https://mg.gmarket.co.kr/samplestore"
categoryCodeL"100000000"
categoryCodeM"200000000"
categoryCodeS"300000000"
overseaDeliveryAvailabletrue
isBigSmilefalse
isAdultfalse
translation.englishtrue
translation.chinesetrue
translation.japanesefalse
raw{ ...full upstream Item JSON... }
scrapedAt"2026-01-01T00:00:00.000Z"

When fetchDetails is on (the default), each record also carries:

FieldExample
descriptionText"Up to 3,000 chars of cleaned product description."
brand"SampleBrand"
sellerCompanyName"Sample Trading Co., Ltd."
sellerManagerName"John Doe"
sellerPhone"02-0000-0000"
sellerBusinessNumber"000-00-00000"
sellerEcommerceNumber"0000-Seoul-0000"
sellerInfo{ ...full upstream SellerInfo JSON: 15 fields... }

Review records (when reviewsOnly is on)

The actor still uses your keyword or URL input to discover products, but pushes one record per review instead of one per product.

FieldExample
productGoodsCode"0000000001"
productLinkUrl"https://mg.gmarket.co.kr/Item?goodscode=0000000001"
reviewId"100000000"
authorNickname"abc****" (Gmarket-masked)
authorLoginId"abc1234" (the un-masked login, passed through verbatim)
authorCustNo"0000000000"
authorCountryCode"KR"
rating9
ratingMax10
deliveryRating5
title"Sample review title"
comment"Sample comment body"
titleEnglish"Sample title translated"
commentEnglish"Sample comment translated"
reviewDate"2026-01-01T00:00:00.000Z"
reviewDateText"2026.01.01"
hasPhotostrue
photoUrls["https://bampic.gmarket.co.kr/..."]
variantInfo"Color: Black [1ea]"
sellerReplynull
sellerReplyDatenull
isPowerReviewertrue
readCount0
raw{ ...full upstream review JSON, 40 fields... }
scrapedAt"2026-01-01T00:00:00.000Z"

How to use

Keyword search, default settings (detail enrichment on, 1 page):

{
"mode":"search",
"keywords":["laptop"]
}

Keyword search with price band, oversea-only, multi-keyword, deeper pagination:

{
"mode":"search",
"keywords":["headphones","earbuds"],
"minPrice":10000,
"maxPrice":100000,
"overseaDeliveryOnly":true,
"maxPages":3
}

URL mode (paste any Gmarket Global search URL with whatever filters you want):

{
"mode":"url",
"urls":["https://mg.gmarket.co.kr/Search/Search?keyword=phone&minPrice=50000&maxPrice=500000"],
"maxPages":2
}

Reviews only (pulls reviews of every product matching your search; caps total reviews at maxListings):

{
"mode":"search",
"keywords":["laptop"],
"reviewsOnly":true,
"maxReviewsPerProduct":20,
"maxListings":100
}

Input parameters

ParameterTypeDefaultDescription
modeenum"search""search" uses keywords + filters; "url" uses pasted search-result URLs
keywordsarray of strings["laptop"]One or more product keywords; English or Korean both work. Search mode only
minPriceinteger0Min sale price in KRW. 0 = no minimum
maxPriceinteger0Max sale price in KRW. 0 = no maximum
overseaDeliveryOnlybooleanfalseRestrict to items that ship outside Korea
bigSmileOnlybooleanfalseRestrict to BigSmile sitewide promotion items
urlsarray of strings[...]One entry per search. URL mode only
reviewsOnlybooleanfalsePush one record per review instead of one per product. Uses the same search/URL flow to discover products first
maxReviewsPerProductinteger50Reviews-only mode: stop after N reviews per product (20 per page)
maxPagesinteger1Pages to walk per keyword / URL (60 items per page). Increase for deeper scrapes
maxListingsinteger0Cap on TOTAL records output (products or reviews depending on reviewsOnly). 0 = unlimited
fetchDetailsbooleantrueFetch product detail pages to populate description, brand, and the full seller disclosure. Turn off for a leaner, faster scrape
proxyproxyApify DatacenterNetwork. Datacenter works fine; residential rarely needed

Send results into your apps (MCP connectors)

Optionally pipe the scraped results into the apps you already use, via Model Context Protocol (MCP) connectors. This is an extra delivery step after the scrape โ€” the Apify dataset is never changed.

What gets written to the connector: a condensed, human-readable summary of each record โ€” not the full JSON. Each item becomes one entry with a title and its key fields flattened to plain text. The complete record always stays in the Apify dataset.

  1. Authorize a connector once under Apify โ†’ Settings โ†’ Integrations (Notion, Linear, Airtable, or Apify).
  2. Select it in the "Pipe results into your apps" input field. (If the picker is empty, you haven't authorized a connector yet.)
  3. For Notion, also set notionParentPageUrl to the page where items should be created.

The connection is mediated by Apify's MCP proxy, so this actor never sees your third-party credentials. Leave the field empty to skip.

Output example (product, with fetchDetails: true)

{
"goodsCode":"0000000001",
"title":"Sample Product Title",
"linkUrl":"https://mg.gmarket.co.kr/Item?goodscode=0000000001",
"imageUrl":"https://gdimg.gmarket.co.kr/0000000001/still/280?ver=0",
"sellPriceKrw":22800,
"currencyPrice":"$15.75",
"discountRate":"0",
"sellerCompanyName":"Sample Trading Co., Ltd.",
"sellerManagerName":"John Doe",
"sellerPhone":"02-0000-0000",
"sellerBusinessNumber":"000-00-00000",
"sellerEcommerceNumber":"0000-Seoul-0000",
"sellerInfo":{
"CompanyName":"Sample Trading Co., Ltd.",
"ManagerName":"John Doe",
"HelpDeskStartDate":"10",
"HelpDeskEndDate":"16",
"HelpDeskTelNo":"02-0000-0000",
"CompanyNo":"000-00-00000",
"EcomerceNo":"0000-Seoul-0000",
"SellerGrade":"A1",
"DealerSatisGrade":"AA"
},
"descriptionText":"Sample product description text.",
"brand":"SampleBrand",
"overseaDeliveryAvailable":true,
"translation":{"english":true,"chinese":true,"japanese":false},
"scrapedAt":"2026-01-01T00:00:00.000Z"
}

Plan requirement

Works on any Apify plan, including the Free plan, because the default proxy is Apify Datacenter. If you ever see zero results from Apify Datacenter, switch the proxy to Apify Residential (Starter plan or higher) and try again.

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