# Depop Scraper — Listings, Sellers & Brands (`markdolanmoore/depop-scraper`) Actor

Scrape Depop listings, seller stats and brand data. No timeouts: hard time budget, cursor checkpointing, and partial-result flush. Charged only on successful records.

- **URL**: https://apify.com/markdolanmoore/depop-scraper.md
- **Developed by:** [Mark Moore](https://apify.com/markdolanmoore) (community)
- **Categories:** E-commerce, Automation, Agents
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.50 / 1,000 listings

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 — Listings, Sellers & Brands

Extract Depop product listings, prices, brands, conditions, and seller stats at scale. Built for resellers, pricing researchers, and brands monitoring the secondhand market.

> **Pay only for results.** You're charged per successfully extracted listing — never for blocked requests, empty pages, or failed runs.

***

### What you get

Every listing includes:

| Field | Example | Notes |
|---|---|---|
| `title` | "Vintage Carhartt Detroit Jacket XL" | Falls back to slug if empty |
| `price` | `{ amount: 85, currency: "USD" }` | Always structured — never a string to parse |
| `originalPrice` | `{ amount: 110, currency: "USD" }` | Pre-discount price, when applicable |
| `discountPercent` | `23` | Rounded integer, not a float |
| `brand` | `"Carhartt"` | `null` if Depop has none on file |
| `size` | `"XL"` | All size systems supported |
| `condition` | `"good"` | Normalized: `brand_new` / `like_new` / `excellent` / `good` / `fair` |
| `images` | `["https://media.depop.com/..."]` | Full-resolution image URLs |
| `status` | `"ONSALE"` | Track when items sell |
| `seller` | `{ username, followers, itemsSold, rating }` | When `includeSeller` is enabled |
| `shipping` | `{ national: 7.95, currency: "USD" }` | When available |

#### Full output example

```json
{
  "id": "123456",
  "url": "https://www.depop.com/products/vintage-carhartt-detroit-jacket-xl-123456",
  "title": "Vintage Carhartt Detroit Jacket Xl",
  "status": "ONSALE",
  "price": { "amount": 85, "currency": "USD" },
  "originalPrice": { "amount": 110, "currency": "USD" },
  "discountPercent": 23,
  "brand": "Carhartt",
  "size": "XL",
  "condition": "good",
  "images": ["https://media.depop.com/..."],
  "shipping": { "national": 7.95, "currency": "USD" },
  "seller": {
    "username": "thrifty",
    "followers": 1240,
    "itemsSold": 312,
    "rating": 4.9
  },
  "sourceQuery": "carhartt jacket",
  "scrapedAt": "2026-07-27T12:00:00.000Z"
}
```

***

### How to use

1. **Choose your mode** — Keyword search is live now. Category, shop, and single-product modes coming soon.
2. **Enter search terms** — One keyword per line ("carhartt jacket", "nike air force 1", "y2k tee")
3. **Set max items** — Hard cap on how many listings to extract. Stops cleanly when reached.
4. **Filters** — Narrow by price range, brand, size, condition, and gender
5. **Seller stats** — Toggle on to include followers, items sold, and rating per unique seller

#### Filters

| Filter | Example |
|---|---|
| Price range | `$10–$50` |
| Brands | `Nike, Carhartt, Levi's` |
| Sizes | `S, M, L, XL, UK 10, 32W` |
| Conditions | `Brand new, Like new, Excellent, Good, Fair` |
| Department | `Menswear, Womenswear, Any` |
| Sort | `Relevance, Newest, Price ↑, Price ↓, Popular` |

***

### Pricing

You pay per successfully extracted listing. No charge for blocked requests, retries, or failed runs.

| Event | Price |
|---|---|
| **Listing** (primary) | **$0.0035** each |
| Seller profile | $0.002 per unique seller |
| Actor start | $0.00005 (nominal) |

Volume discounts kick in automatically — down to $0.002/listing at scale.

**Example:** 1,000 listings with seller stats ≈ **$3.70**

***

### Reliability

This actor's value proposition is that it works.

In testing:

```
3,000 listings · 15 pages · 19.6s · 0 blocks · 0 retries · 0 duplicates
```

Built-in safeguards:

- **Charge-after-validate** — you're billed only for records that pass validation, never for failed requests or empty runs
- **Hard time budget** — stops cleanly before the platform kills the run and flushes partial results

***

### Use cases

- **Resellers:** Find underpriced inventory to flip on eBay, Poshmark, Grailed
- **Pricing research:** Check what similar items actually list for, by brand and condition
- **Brand monitoring:** Track grey-market sellers and MAP violations
- **Market analysis:** Trend data across brands, price tiers, and categories
- **Cross-platform arbitrage:** Compare Depop prices against other resale marketplaces

***

### Supported countries

🇺🇸 US · 🇬🇧 UK · 🇦🇺 AU · 🇨🇦 CA · 🇮🇪 IE · 🇳🇿 NZ

### Disclaimer

This scraper accesses publicly available data on Depop. It does not log in or access private user data. Depop's Terms of Service may restrict automated access — review them before using this actor for commercial purposes. This actor is not affiliated with or endorsed by Depop.

# Actor input Schema

## `mode` (type: `string`):

Choose what to scrape. Search and category modes return listings by keyword or browse filters.

## `queries` (type: `array`):

One or more keywords. Used by search mode.

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

Depop category, shop or product URLs. Used by category, shop and product modes.

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

Hard cap on billable records. The run stops cleanly when reached.

## `country` (type: `string`):

Country for localized search results and shipping.

## `currency` (type: `string`):

Currency for all price fields in the output.

## `priceMin` (type: `integer`):

Filter out listings below this price.

## `priceMax` (type: `integer`):

Filter out listings above this price.

## `sizes` (type: `array`):

Filter by size, e.g. S, M, L, XL, or UK 10, or 32W.

## `brands` (type: `array`):

Filter by brand name, e.g. Nike, Carhartt, Levi's.

## `conditions` (type: `array`):

Filter by item condition. Leave empty for all conditions.

## `gender` (type: `string`):

Filter by menswear or womenswear.

## `sortBy` (type: `string`):

Result ordering. Relevance is Depop's default.

## `enrichDetail` (type: `boolean`):

Adds description, all images and full attributes. Slower and charged separately.

## `includeSeller` (type: `boolean`):

Followers, items sold, rating, review count. Charged per unique seller.

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

Datacenter is enough in most cases. Switch to residential only if you see blocks.

## Actor input object example

```json
{
  "mode": "search",
  "queries": [
    "carhartt jacket"
  ],
  "maxItems": 1000,
  "country": "us",
  "currency": "USD",
  "gender": "any",
  "sortBy": "relevance",
  "enrichDetail": false,
  "includeSeller": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `dataset` (type: `string`):

Dataset containing all scraped Depop listings

## `files` (type: `string`):

Key-value store with run metadata, summary statistics, and any errors

# 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 = {
    "queries": [
        "carhartt jacket"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("markdolanmoore/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 = { "queries": ["carhartt jacket"] }

# Run the Actor and wait for it to finish
run = client.actor("markdolanmoore/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 '{
  "queries": [
    "carhartt jacket"
  ]
}' |
apify call markdolanmoore/depop-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/4pHv2tGuMTthrEqtg/builds/H75YdwiTVZ08rU8z7/openapi.json