Pricing

from $3.00 / 1,000 results

Naver Shopping Product Scraper

Ultra-fast Naver Shopping product data scraper with advanced filtering, multi-keyword support, price range filtering, category filtering, and detailed product analytics including reviews, seller info, and delivery details.

Pricing

from $3.00 / 1,000 results

Rating

0.0

(0)

Developer

OrbitData Labs

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

Categories

E-commerce

Lead generation

Other

You can access the Naver Shopping Product Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "searchKeywords": [
12        "나이키운동화"
13    ],
14    "proxyConfiguration": {
15        "useApifyProxy": true,
16        "apifyProxyGroups": [
17            "RESIDENTIAL"
18        ]
19    }
20};
21
22// Run the Actor and wait for it to finish
23const run = await client.actor("huggable_quote/naver-shopping-scraper").call(input);
24
25// Fetch and print Actor results from the run's dataset (if any)
26console.log('Results from dataset');
27console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
28const { items } = await client.dataset(run.defaultDatasetId).listItems();
29items.forEach((item) => {
30    console.dir(item);
31});
32
33// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Naver Shopping Scraper - Prices, Reviews & Seller Data API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Naver Shopping Product Scraper API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

Naver Shopping Product Scraper API in Python

Naver Shopping Product Scraper API through CLI

Naver Shopping Product Scraper OpenAPI definition

Naver Shopping Product Scraper API

Naver Shopping Product Scraper

delicious_zebu/naver-shopping-product-scraper

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ВAH

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Input any search term and collect detailed information from Naver Maps (https://map.naver.com) results, including business names, addresses, phone numbers, ratings, and more. Fast, flexible, and tailored to your needs!

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Efficiently gather extensive product information from Instacart.com, including accurate prices, detailed nutrition facts, and real-time inventory levels. This process simplifies market research and competitive analysis by providing valuable insights into product offerings and pricing strategies.

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Fyndiq.se Scraper

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Fyndiq.se product data scraper for Sweden’s bargain e‑commerce marketplace – extract prices, stock, ratings, images, delivery and merchant details via API for product research and price comparison.

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WooCommerce Scraper

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Scrape product data from any WooCommerce store. Extract names, prices, stock status, images, categories, ratings, and more. Export to JSON, CSV, or Excel. No login needed.

Stas Persiianenko

AI Product Matcher

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Match products across multiple e-commerce websites. Use this AI product matching Actor whenever you need to find matching pairs of products from different online shops for dynamic pricing, competitor analysis or market research.

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11st Product Monitor

accurate_dancer/11st-product-monitor

Monitor Korean e-commerce products from 11st.co.kr. Prices, ratings, stock, categories.

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oxygenated_quagmire/bunjang-market-scraper

Scrape product listings from Bunjang (번개장터) — Korea's popular secondhand marketplace. The only bunjang scraper for korean C2C market data: prices, seller badges, popularity metrics, shipping info. Ideal for korean resale market research & price tracking.