# Depop Scraper (`powerai/depop-scraper`) Actor

Scrape Depop search, product pages, and shops — titles, prices, photos, brands, and seller profiles.

- **URL**: https://apify.com/powerai/depop-scraper.md
- **Developed by:** [PowerAI](https://apify.com/powerai) (community)
- **Categories:** Agents
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

### Depop Scraper

Turn Depop into structured product data. Search by keyword with brand, colour, condition, gender, and price filters, or paste product, search, shop, or category URLs. Each row includes title, price, shipping, brand, photos, like count, and seller profile fields.

#### Features

- **Search mode** — keywords with sort, price range, gender, brands, colours, conditions, and department groups
- **URL mode** — product pages, search links, seller shops, or category pages
- **12 marketplaces** — US, UK, AU, IE, IT, FR, DE, ES, NL, BE, NZ, CA (local currency)
- Structured fields: title, price, currency, shipping, brand, condition, sizes, pictures, seller username / stats

#### Input

| Field | Type | Default | Description |
| --- | --- | --- | --- |
| `mode` | string | `search` | `search` or `url` |
| `queries` | array | — | Keywords (Search mode) |
| `urls` | array | — | Product / search / shop / category links (URL mode) |
| `country` | string | `us` | Marketplace region |
| `sortBy` | string | `relevance` | `relevance`, `newest`, `price-asc`, `price-desc` |
| `minPrice` / `maxPrice` | integer | — | Price filters |
| `gender` | string | `any` | `any`, `female`, `male`, `unisex` |
| `brands` / `colours` / `conditions` / `groups` | array | — | Source-side filters |
| `maxListings` | integer | `20` | Total item cap |
| `maxPages` | integer | `0` | Max pages per query/URL (`0` = unlimited) |
| `proxyConfiguration` | object | — | Residential proxy recommended |

#### Example

```json
{
  "mode": "search",
  "queries": ["nike vintage", "carhartt jacket"],
  "country": "us",
  "sortBy": "newest",
  "minPrice": 20,
  "maxPrice": 100,
  "maxListings": 40
}
```

URL mode:

```json
{
  "mode": "url",
  "urls": [
    "https://www.depop.com/search/?q=carhartt",
    "https://www.depop.com/sampleseller/"
  ],
  "maxListings": 30
}
```

#### Output

One dataset row per listing: `id`, `slug`, `url`, `title`, `price`, `currency`, `shippingCost`, `brandName`, `conditionName`, `sizes`, `pictures`, `mainPicture`, `likeCount`, `sellerUsername`, `sellerItemsSold`, `sellerReviewsRating`, `status`, `isSold`, `hasFreeShipping`, `countryCode`, `sourceQuery`, `scrapedAt`, …

#### Tips

- Start with one query and `maxListings: 20` to validate proxies.
- Residential proxies usually improve success rates on Apify.
- Split large keyword lists across scheduled runs if you need deeper coverage.

# Actor input Schema

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

search = keyword search with filters. url = paste product, search, shop, or category links.

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

Keywords for Search mode. Each query runs its own paginated search; results are combined.

## `urls` (type: `array`):

Product, search, shop, or category URLs for URL mode.

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

Marketplace region and currency (us, gb, au, ie, it, fr, de, es, nl, be, nz, ca).

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

Sort order for Search mode.

## `minPrice` (type: `integer`):

Minimum price in the marketplace currency.

## `maxPrice` (type: `integer`):

Maximum price in the marketplace currency.

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

Department gender filter for Search mode.

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

Numeric Depop brand IDs. Leave empty for all brands.

## `colours` (type: `array`):

Colour slugs such as black, white, pink.

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

One or more of brand_new, used_like_new, used_excellent, used_good, used_fair.

## `groups` (type: `array`):

Department group slugs such as tops, footwear, coats-jackets.

## `maxListings` (type: `integer`):

Total item cap across all queries / URLs (1–5000).

## `maxPages` (type: `integer`):

Max pages per query / URL / shop. 0 = no page ceiling (still limited by Max listings).

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

Optional Apify proxy. Residential proxies are recommended for production.

## Actor input object example

```json
{
  "mode": "search",
  "queries": [
    "nike vintage"
  ],
  "urls": [
    "https://www.depop.com/search/?q=carhartt"
  ],
  "country": "us",
  "sortBy": "relevance",
  "gender": "any",
  "maxListings": 20,
  "maxPages": 0
}
```

# Actor output Schema

## `overview` (type: `string`):

Table view of scraped listings.

## `rawResults` (type: `string`):

All dataset items as JSON.

# 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 = {
    "mode": "search",
    "queries": [
        "nike vintage"
    ],
    "urls": [
        "https://www.depop.com/search/?q=carhartt"
    ],
    "country": "us",
    "maxListings": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("powerai/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 = {
    "mode": "search",
    "queries": ["nike vintage"],
    "urls": ["https://www.depop.com/search/?q=carhartt"],
    "country": "us",
    "maxListings": 20,
}

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

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

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

```

## CLI example

```bash
echo '{
  "mode": "search",
  "queries": [
    "nike vintage"
  ],
  "urls": [
    "https://www.depop.com/search/?q=carhartt"
  ],
  "country": "us",
  "maxListings": 20
}' |
apify call powerai/depop-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,powerai/depop-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/9JwhJHPfsPe843OMm/builds/PtNtd2DSq0Ih4l4gy/openapi.json