# Depop Scraper - Resale Fashion Listings (`jongoose/depop-scraper`) Actor

Scrape Depop resale & vintage fashion listings into clean structured data - price (item, fees & reductions), brand, size, condition, seller, category, photos, like count and sold status. Search by keyword or paste Depop search URLs. No account or API key needed.

- **URL**: https://apify.com/jongoose/depop-scraper.md
- **Developed by:** [James Scott](https://apify.com/jongoose) (community)
- **Categories:** E-commerce, Lead generation
- **Stats:** 2 total users, 0 monthly users, 99.1% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 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 Scraper - Resale Fashion Listings

Scrape **Depop** resale, vintage and secondhand fashion listings into clean, structured data - no Depop account or API key required.

### What you get (per listing)

- **Product id**, `slug`, and canonical listing **URL** (`depop.com/products/<slug>/`)
- **Title** and full **description**
- **Brand**, **size(s)**, and **condition** (Brand new / Used - excellent / good / fair...)
- **Price** (`amount` + `currency`), plus `originalPrice`, `totalPrice` (with buyer fee), `discountedPrice` and an `isReduced` flag
- **Seller** username and profile URL (derived from the listing slug)
- **Photos** (`pictureUrls`) and image count
- **Like count**, **sold** status, boosted flag, and `dateUpdated`
- **Category** and full category breadcrumb, plus gender, colours, product type and location

#### Full field list

`id`, `slug`, `url`, `title`, `description`, `brand`, `brandId`, `size`, `sizes`, `price`, `discountedPrice`, `originalPrice`, `totalPrice`, `isReduced`, `condition`, `conditionRaw`, `sellerUsername`, `sellerUrl`, `pictureUrls`, `isSold`, `status`, `dateUpdated`, `likeCount`, `category`, `categoryPath`, `categoryId`, `gender`, `colours`, `group`, `productType`, `location`, `country`, `listedQuantity`, `isBoosted`, `variantSetId`, `scrapedFrom`.

### Input

- **Keyword** - a search term such as `nike`, `carhartt jacket`, or `y2k jeans`. The simplest way to pull a full, paginated result set.
- **Depop search URLs** - build a filtered search on depop.com (keyword, brand, size, price, condition...) and paste the result URL(s). URLs that contain a keyword (`?q=...`) are paginated in full; URLs without one are scraped as a single server-rendered page.
- **Max listings** caps the run.
- **Proxy** - Apify's default datacenter proxy is enough (Depop is open from clean IPs).

#### Example input

```json
{
  "query": "carhartt jacket",
  "maxItems": 200,
  "proxyConfiguration": { "useApifyProxy": true }
}
```

Or drive it from search URLs:

```json
{
  "startUrls": [{ "url": "https://www.depop.com/search/?q=vintage%20levis" }],
  "maxItems": 500
}
```

#### Example output (one record)

```json
{
  "id": 812580641,
  "slug": "ahewivt215-nike-black-shorts-with-repeating-0f30",
  "url": "https://www.depop.com/products/ahewivt215-nike-black-shorts-with-repeating-0f30/",
  "title": "Nike Black Shorts With Repeating",
  "brand": "Nike",
  "size": "S",
  "price": { "amount": 4.0, "currency": "USD" },
  "discountedPrice": null,
  "condition": "Used - excellent",
  "sellerUsername": "ahewivt215",
  "pictureUrls": ["https://media-photos.depop.com/r1/.../P0.jpg"],
  "isSold": false,
  "likeCount": 6,
  "category": "Shorts",
  "scrapedFrom": "depop.com"
}
```

### Why this actor

- **Straight from Depop's own search API:** every field is read from the search response (`/presentation/api/v1/search/products/`), so there are no extra per-listing requests, and pagination follows Depop's real cursor - fast, cheap and complete.
- **Rich records:** item price *and* fees, reductions, seller, size variants, condition, category breadcrumb and like count - fields many Depop scrapers skip.
- **Durable:** parses embedded JSON, not brittle CSS selectors, and automatically falls back to the server-rendered search page if the API is ever unreachable.
- Export as JSON, CSV, Excel, or pull via the Apify API.

Great for resellers and analysts doing **pricing intelligence, brand & trend monitoring, and secondhand-market research**. This is **public marketplace data for research; it is not a consumer report and must not be used for FCRA-covered purposes.**

# Actor input Schema

## `startUrls` (type: `array`):

One or more Depop search-results URLs. Build a filtered search on depop.com (keyword, brand, size, price, condition...) and paste the URL(s) here. URLs that contain a keyword (`?q=...`) are paginated in full through Depop's search API; URLs without one are scraped as a single server-rendered page. Leave empty to use the Keyword below.

## `query` (type: `string`):

Search keyword to scrape, e.g. `nike`, `carhartt jacket`, `y2k jeans`. The cleanest way to pull a full, paginated result set. Used when no Start URL is given.

## `maxItems` (type: `integer`):

Stop after collecting this many listings.

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

This site soft-blocks datacenter IPs, so the actor uses Apify Residential proxy by default. Keep residential for reliable results.

## Actor input object example

```json
{
  "startUrls": [],
  "query": "carhartt jacket",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "startUrls": [],
    "query": "vintage"
};

// Run the Actor and wait for it to finish
const run = await client.actor("jongoose/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 = {
    "startUrls": [],
    "query": "vintage",
}

# Run the Actor and wait for it to finish
run = client.actor("jongoose/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 '{
  "startUrls": [],
  "query": "vintage"
}' |
apify call jongoose/depop-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/cUsuO8a4bzUMBPyfO/builds/rLHxHOGqzqtKhTKab/openapi.json