# Depop Fashion Listings Scraper (`bakos_bence/depop-listings`) Actor

Scrape Depop public listings by search or category — brand, price with currency, sizes, condition, and images. Seller identity never included. Unofficial; not affiliated with Depop.

- **URL**: https://apify.com/bakos\_bence/depop-listings.md
- **Developed by:** [Bakos Bence](https://apify.com/bakos_bence) (community)
- **Categories:** E-commerce, Automation, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.75 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#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

### What does Depop Listings do?

**Scrape public Depop listings** by search query or category URL — brand, **price with currency**, sizes, condition, and images. **Seller identity is never included** (no usernames, profiles, or seller PII).

**Unofficial.** This Actor is **not affiliated with, endorsed by, or maintained by** Depop / Depop Limited. It reads **public** Depop search results only.

**Dashboards:** connect **Power BI**, **Tableau**, **Looker Studio**, or **Qlik** to the dataset API — see *Export to Power BI, Tableau, Looker Studio & Qlik* near the end. **AI agents:** paste this Actor's Store page URL into an Apify-capable agent (MCP / Claude / Cursor with Apify), create an Apify account and API token once, and the agent can run the Actor and wire up the output.

#### Why use this Depop scraper?

- 🔍 `searchQueries` and optional `categoryUrls` (gender/groups parsed from the path)
- 💵 Price and original price **with currency**, sizes, condition, image URLs
- 🚫 Seller usernames / profiles never emitted
- 🛡️ Lightweight HTTP (`curl_cffi`) — no browser

#### How to scrape Depop listings

1. Open this Actor in [Apify Console](https://console.apify.com/).
2. Click **Start** on the prefilled search `nike` (`maxItems` 5).
3. Add more queries or category URLs as needed.
4. Export the dataset or pull via API.

```json
{
  "searchQueries": ["nike"],
  "maxItems": 5,
  "country": "gb",
  "currency": "GBP",
  "proxyType": "none"
}
```

Depop often works **without** a proxy. If Cloudflare returns 403, set `proxyType` to `apify` and prefer **residential** proxies.

#### How much does it cost?

**Pay per event (PPE):** Actor start + each listing **result** row. On Free, results are about **$3.49 / 1,000**; paid plans are lower (see the Pricing tab). Undercuts typical Store peers at $4 / 1k.

#### Input

| Field | Description |
|-------|-------------|
| `searchQueries` | Search terms (default `nike`) |
| `categoryUrls` | Optional Depop category page URLs |
| `maxItems` | Cap on listing rows |
| `country` / `currency` | Marketplace locale (default `gb` / `GBP`) |
| `gender` / `groups` | Optional API filters |
| `proxyType` | `none` (default) or `apify` |

#### Sample output

```json
{
  "listingId": 795984227,
  "title": "Nike Air Force 1 White",
  "brand": "Nike",
  "price": 45.0,
  "originalPrice": 45.0,
  "currency": "GBP",
  "sizes": ["UK 8"],
  "condition": "used_excellent",
  "imageUrls": ["https://media-photos.depop.com/.../P0.jpg"],
  "url": "https://www.depop.com/products/example-slug/",
  "category": "footwear",
  "scrapedAt": "2026-09-10T10:00:00+00:00"
}
```

Seller usernames and profiles are **never** included.

#### FAQ

##### Is this official Depop software?

No. It is unofficial and not affiliated with Depop.

##### Do you return seller usernames?

No. Seller identity (usernames, profiles, and related PII) is never included in the dataset.

##### Compatible with `piotrv1001/depop-listings-scraper`?

**Input keys** `searchQueries`, `categoryUrls`, and `maxItems` match. Output is listing facts only — seller identity is the documented gap.

##### Can AI agents call this?

Yes — Actor ID `bakos_bence/depop-listings` via Apify API or [MCP](https://mcp.apify.com).

##### Something broke?

Open the **Issues** tab on this Actor's page.

#### Related Actors

| Actor | Use together when… |
|-------|-------------------|
| [Grailed Listings](https://apify.com/bakos_bence/grailed-listings) | You compare **streetwear** resale channels |
| [Vestiaire Collective Scraper](https://apify.com/bakos_bence/vestiaire-collective) | You add **designer** resale rows |

Profile: [bakos\_bence on Apify](https://apify.com/bakos_bence).

#### For AI agents & LLM apps

Paste this Actor's **Apify Store URL** into an agent that can use Apify (MCP, Claude, Cursor, etc.). With an Apify account and API token, the agent can set input, run the Actor, and fetch the dataset.

#### Export to Power BI, Tableau, Looker Studio & Qlik

1. Run the Actor (or open a finished run).
2. Open the **Dataset** → **API** / **Export**.
3. Copy the dataset items URL (JSON or CSV).
4. In your BI tool, add a **web / API** data source with that URL (and your Apify token as a header or query param if required).
5. Refresh on a schedule that matches your monitoring cadence.

Listing data is from public Depop search results — always verify critical buying decisions on Depop directly.

# Actor input Schema

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

Enter search terms to scrape (e.g. nike, vintage tshirt). Default nike for a cheap first run.

## `categoryUrls` (type: `array`):

Paste Depop category page URLs (e.g. https://www.depop.com/category/mens/tops/tshirts/). Gender/groups are parsed from the path when possible.

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

Cap listings across all queries/URLs. Leave at 5 for a cheap first run.

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

Depop marketplace country code (e.g. gb, us).

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

Currency code for pricing (e.g. GBP, USD).

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

Optional API gender filter: female, male, or unisex. Leave empty for any. Also inferred from category URLs.

## `groups` (type: `string`):

Optional product group. Leave empty for any. Also inferred from category URLs.

## `proxyType` (type: `string`):

Keep Apify Proxy on — Apify datacenter IPs often get HTTP 403 from Depop/Cloudflare.

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

RESIDENTIAL recommended for Store-health and Console Start.

## Actor input object example

```json
{
  "searchQueries": [
    "nike"
  ],
  "maxItems": 5,
  "country": "gb",
  "currency": "GBP",
  "proxyType": "apify",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

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

Default dataset items.

# 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"
    ],
    "maxItems": 5,
    "country": "gb",
    "currency": "GBP",
    "proxyType": "apify"
};

// Run the Actor and wait for it to finish
const run = await client.actor("bakos_bence/depop-listings").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"],
    "maxItems": 5,
    "country": "gb",
    "currency": "GBP",
    "proxyType": "apify",
}

# Run the Actor and wait for it to finish
run = client.actor("bakos_bence/depop-listings").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 '{
  "searchQueries": [
    "nike"
  ],
  "maxItems": 5,
  "country": "gb",
  "currency": "GBP",
  "proxyType": "apify"
}' |
apify call bakos_bence/depop-listings --silent --output-dataset

```

## MCP server setup

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

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/cVZ9fADERvzuuy5h7/builds/IDwEYewXTzgC0O13C/openapi.json