How to Scrape JD.com in Node.js

This example shows how to scrape product data from JD.com (京东) in Node.js using the JD.com Product Scraper on Apify. Instead of building a scraper from scratch — dealing with anti-bot protection, proxies, and parsing — you call a ready-made Apify actor through the official apify-client package and get structured JSON back.

What this example does

• Calls the piotrv1001/jd-com-product-scraper actor via the Apify API
• Passes an input with JD.com SKU IDs (or product page URLs) to scrape
• Waits for the actor run to finish
• Fetches the scraped results from the run's dataset
• Prints each product item to the console

Prerequisites

• Node.js 18 or newer
• A free Apify account
• Your Apify API token

Installation

npm install

Environment setup

Copy the example env file and add your Apify API token:

cp .env.example .env

APIFY_TOKEN=your_apify_token_here

Usage

npm start

The script runs the actor, waits for it to finish, and prints the scraped JD.com products. You'll also get a link to view the dataset in the Apify Console.

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 = {
    "skuIds": [
        "100008348542"
    ],
    "startUrls": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("piotrv1001/jd-com-product-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. Each scraped product includes:

Field	Description
skuId	JD.com SKU identifier
url	Product page URL
title / name	Full product title and name
brandId / brandName	Brand info (e.g. Apple, 富士)
shopId / shopName	Seller / store info
categoryIds / categoryNames	Category hierarchy
breadcrumb	Full breadcrumb path
mainImage / images	Product image URLs
description	Product description
scrapedAt	Timestamp of the scrape

Use cases

• Price & catalog monitoring — track JD.com product listings for e-commerce intelligence
• Competitor research — analyze brands, sellers, and category positioning on China's largest B2C marketplace
• Product data enrichment — pull titles, images, and category data into your own catalog or PIM
• Market analysis — study product assortment and branding trends across JD.com categories
• Dropshipping & sourcing — collect structured product data for sourcing decisions

Try the actor on Apify

Open the JD.com Product Scraper on Apify

Related resources

• 📝 Blog post: How to Scrape JD.com Product Listings
• 📚 Apify JavaScript client docs

License

MIT