how-to-scrape-dhgate-in-nodejs

How to Scrape DHgate in Node.js

A minimal Node.js example showing how to scrape DHgate product listings using the DHgate Listings Scraper actor on Apify. Instead of building a scraper from scratch with Playwright or Cheerio, this example calls a ready-made Apify actor that handles the heavy lifting — search URL parsing, pagination, and structured data extraction.

What this example does

• Calls the piotrv1001/dhgate-listings-scraper Apify actor
• Passes a DHgate search URL as input
• Waits for the actor run to finish
• Fetches results from the run’s dataset
• Prints each product listing to the console

Prerequisites

• Node.js 18+
• An Apify account (free tier works)
• Your Apify API token

Installation

npm install

Environment setup

Copy .env.example to .env and add your Apify API token:

cp .env.example .env

APIFY_TOKEN=your_apify_token_here

Usage

npm start

Code example

import { ApifyClient } from 'apify-client';
import 'dotenv/config';

// Initialize the ApifyClient with your Apify API token
// Set APIFY_TOKEN in your .env file (copy .env.example to get started)
const client = new ApifyClient({
    token: process.env.APIFY_TOKEN,
});

// Prepare Actor input
const input = {
    "searchUrls": [
        "https://www.dhgate.com/w/sneakers.html?dspm=pcen.hp.hotsearch.5.PyrNzJX8tC4mkXEVKusV&resource_id=#listing_hot-sneakers"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("piotrv1001/dhgate-listings-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Example output

See sample-output.json for a full example of what the actor returns. Each product listing includes:

• itemCode and productId — DHgate identifiers
• productName and alt — product title and image alt text
• productDetailUrl — direct link to the product page
• imageUrl — product thumbnail
• price and minOrder — pricing and minimum order quantity
• feedbackPercent, reviewCount, recentlySold — seller and product stats
• sellerStoreUrl — link to the seller’s store
• freeShipping — boolean shipping flag
• coupons — array of available coupon codes

Use cases

• Price monitoring — track DHgate prices for specific product categories over time
• Product research — find trending sneakers, electronics, or apparel for resale
• Competitive analysis — benchmark seller pricing and reviews
• Dropshipping product discovery — surface high-rated, free-shipping products
• Market data pipelines — feed structured DHgate listings into analytics dashboards

Try the actor on Apify

Open the DHgate Listings Scraper on Apify

Related resources

• 📖 Full guide: How to Scrape DHgate Product Listings
• 📚 Apify JavaScript client docs

License

MIT