How to Scrape Depop Listings in Node.js

This example shows how to scrape Depop listings in Node.js using the Depop Listings Scraper actor on Apify. Instead of building a scraper from scratch, this project calls a ready-made Apify actor via the Apify API client — no browser automation or HTML parsing required.

What this example does

• Calls the Depop Listings Scraper actor with a category URL and/or search query
• Passes input configuration (category URLs, search queries)
• Waits for the actor run to finish
• Fetches results from the Apify dataset
• Prints each scraped listing to the console

Prerequisites

• Node.js v18 or higher
• An Apify account
• An Apify API token

Installation

npm install

Environment setup

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

cp .env.example .env

Then open .env and replace your_apify_token_here with your actual token from the Apify console.

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 = {
    "categoryUrls": [
        {
            "url": "https://www.depop.com/category/mens/tops/tshirts/"
        }
    ],
    "searchQueries": [
        "vintage tshirt"
    ]
};

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

• url — direct link to the Depop product page
• slug — URL-friendly product identifier
• price — current listing price
• originalPrice — original price if discounted (or null)
• currency — currency code (e.g. USD)
• size — item size label
• brand — brand name
• images — array of product image URLs
• category — category path (e.g. mens/tops/tshirts)

Use cases

• Resale market research — track pricing trends across categories or brands on Depop
• Brand monitoring — find all listings for a specific brand and monitor how they're priced and sold
• Vintage fashion analytics — aggregate secondhand inventory data for trend analysis
• Price comparison — compare Depop prices against other resale platforms
• Inventory sourcing — identify underpriced listings in specific categories for resale

Try the actor on Apify

Open the Depop Listings Scraper on Apify

Related resources

• How to Scrape Depop Listings — Full Guide
• Depop Listings Scraper on Apify

License

MIT