# Depop Marketplace Scraper (`lulzasaur/depop-scraper`) Actor

Scrape Depop resale-fashion & streetwear listings by search query. Per-listing data: title, price, brand, size, condition, seller, likes, colours, category, location, image, and product URL. Multi-query support with optional detail enrichment.

- **URL**: https://apify.com/lulzasaur/depop-scraper.md
- **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community)
- **Categories:** E-commerce
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Depop Marketplace Scraper

Scrape resale-fashion and streetwear listings from [Depop](https://www.depop.com) by search query. Great for reselling arbitrage, price research, trend tracking, brand monitoring, and building fashion datasets.

### What it does

Give it one or more search terms (e.g. `nike`, `vintage denim`, `carhartt jacket`) and it returns structured listing data pulled from Depop's server-rendered search results — no browser automation, fast and reliable.

### Output fields

Each listing record includes:

| Field | Description |
|-------|-------------|
| `title` | Listing title |
| `description` | Full seller description |
| `brand` | Brand name (e.g. Nike, Carhartt) |
| `price` | Item price |
| `totalPrice` | Total including buyer fee |
| `originalPrice` | Original price if reduced |
| `isReduced` | Whether the price was reduced |
| `currency` | Currency code (e.g. USD) |
| `condition` | Condition (Brand new, Like new, Used - Excellent, etc.) |
| `size` / `sizes` | Listed size(s) |
| `category` / `categoryPath` | Product category and full path |
| `gender` | Target gender |
| `colours` | Colour tags |
| `status` | Listing status (e.g. STATUS\_ONSALE) |
| `likes` | Number of likes |
| `seller` | Seller username |
| `location` | Seller location |
| `country` | Country code |
| `isBoosted` | Whether the listing is boosted |
| `imageUrl` | Primary product image |
| `productUrl` | Direct link to the listing |
| `productId` / `slug` | Depop product identifiers |
| `searchQuery` | The query that surfaced this listing |
| `scrapedAt` | ISO timestamp of scrape |

### Input

```json
{
  "searchQueries": ["nike", "vintage denim"],
  "maxResults": 100,
  "scrapeDetails": false,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}
```

- **searchQueries** — list of Depop search terms. Each query returns its first result page (~22-24 listings). Add more queries for more listings.
- **maxResults** — cap on total listings across all queries. `0` = no cap.
- **scrapeDetails** — also open each product page to enrich records (seller username, full size list, exact like count). Slower.
- **proxyConfiguration** — Residential proxy recommended for reliability.

### Notes on coverage

Depop's search UI uses infinite scroll driven by a private, authenticated pagination API that rejects all non-app clients (HTTP 403). This scraper reads the fully-populated first page of results that Depop server-renders into every search page. That gives ~22-24 listings per query. **To collect more, supply multiple search queries** — the results are deduplicated automatically.

### Example use cases

- **Reseller arbitrage** — compare Depop asking prices against other marketplaces.
- **Price research** — track average prices by brand, size, and condition.
- **Trend tracking** — monitor which brands/items are getting the most likes.
- **Dataset building** — assemble a labeled fashion listing dataset.

### Pricing

Pay-per-result: a small fee per listing returned, plus a tiny actor-start fee. You only pay for the data you get.

# Actor input Schema

## `searchQueries` (type: `array`):

One or more Depop search terms, e.g. 'nike', 'vintage denim', 'carhartt jacket'. Each query returns its first result page (~22-24 listings). Add multiple queries to collect more listings.

## `maxResults` (type: `integer`):

Maximum number of listings to return across all queries. Use 0 for no limit (bounded by ~22-24 listings per query). Default 100.

## `scrapeDetails` (type: `boolean`):

Also open each product page to enrich records (seller username, full size list, exact like count). Slower — one extra request per listing. Default off.

## `proxyConfiguration` (type: `object`):

Proxy settings. Depop lightly fingerprints clients, so Apify Residential proxy is recommended for reliable scraping.

## Actor input object example

```json
{
  "searchQueries": [
    "nike",
    "vintage denim"
  ],
  "maxResults": 100,
  "scrapeDetails": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchQueries": [
        "nike",
        "vintage denim"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("lulzasaur/depop-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

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "searchQueries": [
        "nike",
        "vintage denim",
    ],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("lulzasaur/depop-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchQueries": [
    "nike",
    "vintage denim"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call lulzasaur/depop-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=lulzasaur/depop-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/uy7aXmvTyEZ6G0Vbg/builds/QcTHRU8yNcrWqrcoZ/openapi.json