# Depop Scraper (`h4sh/depop-scraper`) Actor Scrape Depop for fashion resale listings with prices, brands, sizes, seller info and 30+ data fields. The FIRST and ONLY Depop scraper on Apify Store. - **URL**: https://apify.com/h4sh/depop-scraper.md - **Developed by:** [Dominique](https://apify.com/h4sh) (community) - **Categories:** E-commerce - **Stats:** 28 total users, 7 monthly users, 7.5% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 🛍️ **The most comprehensive Depop scraper on Apify Store** — extract product listings, prices, seller info, and photos from the world's leading Gen Z fashion resale marketplace. ### 🏆 Why This Actor? | Feature | This Actor | Other Scrapers | |---------|-----------|----------------| | **Price** | **$5/1K results** | $3–5/1K | | **Anti-Bot Resilience** | ✅ Camoufox + residential rotation | ❌ Often blocked | | **Data Fields** | **30+ fields** | 5–10 fields | | **Search Mode** | ✅ Keyword search | ✅ Basic | | **Category Browse** | ✅ Full categories | ❌ Not supported | | **Seller Shop Scraping** | ✅ Complete shops | ❌ Not supported | | **Product Details** | ✅ Full descriptions | ❌ Listings only | | **Seller Analytics** | ✅ Rating, sales, followers | ❌ No seller data | | **Shipping Info** | ✅ Cost & free shipping | ❌ Not included | | **Proxy Rotation** | ✅ Residential proxies | ⚠️ Limited | | **Pagination** | ✅ Automatic | ⚠️ Manual | ### ✨ Key Features - 🔍 **Multi-Mode Scraping** — Search by keyword, browse categories, scrape seller shops, or extract individual product pages - 🛡️ **Anti-Bot Resilience** — Camoufox stealth browser with residential proxy rotation, retry logic, and graceful fail behavior under Cloudflare blocking - 📊 **30+ Data Fields** — Product title, description, price, brand, size, condition, color, material, seller info, shipping, and more - 👤 **Rich Seller Data** — Username, verification status, rating, sales count, followers, and profile URL - 📸 **All Product Photos** — Extracts every product image URL at full resolution - ⚡ **Smart Pagination** — Automatically handles infinite scroll and cursor-based pagination - 💰 **Price Tracking** — Captures current price, original price, and currency for discount analysis - 🔄 **Sort Options** — Relevance, newly listed, price ascending, or price descending ### 📥 Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `searchQueries` | Array of strings | `[]` | Keywords to search (e.g., "vintage jacket", "nike dunks") | | `startUrls` | Array of URLs | `[]` | Direct Depop URLs — search, product, seller, or category pages | | `maxItems` | Integer | `10` | Maximum items to extract (0 = unlimited) | | `sort` | Select | `relevance` | Sort order: relevance, newlyListed, priceAscending, priceDescending | | `scrapeProductDetails` | Boolean | `false` | Visit each product page for full details (slower, more data) | | `proxyConfiguration` | Object | Residential | Proxy settings — residential proxies recommended | #### Supported URL Types | URL Pattern | Example | What It Does | |------------|---------|---------------| | Search | `https://www.depop.com/search/?q=vintage+jacket` | Extracts search results | | Category | `https://www.depop.com/category/mens-jackets/` | Browses entire category | | Seller Shop | `https://www.depop.com/username/` | Scrapes all seller listings | | Product Page | `https://www.depop.com/products/slug-123456/` | Extracts single product details | ### 📤 Sample Output ```json { "itemId": "636586545", "title": "Vintage Levi's 501 Denim Jacket Medium Wash", "description": "Classic vintage Levi's 501 denim jacket in a beautiful medium wash. Size M, fits true to size. Minor distressing adds character. Excellent vintage condition.", "price": 45.00, "originalPrice": 65.00, "currency": "USD", "brand": "Levi's", "size": "M", "condition": "Good", "category": "Jackets", "color": "Blue", "material": "Denim", "photos": [ "https://media-photos.depop.com/b1/12345678/1234567890_abcdef.jpg", "https://media-photos.depop.com/b1/12345678/1234567891_abcdef.jpg" ], "image": "https://media-photos.depop.com/b1/12345678/1234567890_abcdef.jpg", "likes": 42, "sellerUsername": "vintagefinds_nyc", "sellerId": "9876543", "sellerVerified": true, "sellerReviews": 856, "sellerRating": 4.9, "sellerSales": 1247, "sellerFollowers": 5200, "sellerProfileUrl": "https://www.depop.com/vintagefinds_nyc/", "shippingCost": 5.95, "freeShipping": false, "country": "US", "postedDate": "2025-03-15T14:30:00", "status": "active", "url": "https://www.depop.com/products/vintagefinds_nyc-vintage-levis-501-636586545/", "source": "api" } ```` ### 💡 Use Cases - **🏪 Resale Market Research** — Analyze trending items, average prices, and popular brands on Depop to inform your resale business strategy - **📈 Price Monitoring** — Track price changes across product categories to find the best deals or optimize your pricing - **🔍 Competitor Analysis** — Monitor competing sellers' inventory, pricing, and sales volume to stay ahead in the resale market - **📊 Fashion Trend Analysis** — Identify emerging fashion trends by analyzing what's selling, what's popular, and category growth patterns - **🤖 Inventory Automation** — Build automated feeds from Depop data to power your own resale tools, dashboards, or cross-listing platforms - **📉 Discount Hunting** — Find discounted items by comparing current vs. original prices across thousands of listings ### 📌 Production Run Guidance Depop scraping uses a stealth browser and residential proxy path, so very small runs have poor unit economics. For production research jobs, use **75+ requested items** where possible and keep `scrapeProductDetails` disabled unless you need full detail pages. Recommended profitable input shape: ```json { "searchQueries": ["vintage nike", "carhartt", "y2k"], "maxItems": 75, "scrapeProductDetails": false } ``` ### 💲 Pricing - **$5 per 1,000 results** — usage-based pricing for Depop resale data - Residential proxy usage included in Apify platform costs - No monthly fees — pay only for what you use ### ⚙️ Technical Details - **Anti-Bot**: Camoufox stealth browser with residential proxy rotation and bounded retries (Depop may still block some runs) - **Extraction Strategy**: 3-layer approach — API interception → JSON state → HTML fallback - **Pagination**: Automatic offset-based + infinite scroll handling - **Rate Limiting**: Built-in human-like delays and request throttling - **Proxy Support**: Works with Apify residential proxies (recommended) or custom proxies ### 🔗 Related Actors - [Poshmark Scraper](https://apify.com/h4sh/poshmark-scraper) — Scrape Poshmark resale listings - [Vinted Scraper](https://apify.com/h4sh/vinted-scraper) — Extract Vinted marketplace data across 13 countries - [Etsy Scraper](https://apify.com/h4sh/etsy-scraper) — Scrape Etsy handmade & vintage marketplace - [Cars.com Scraper](https://apify.com/h4sh/carscom-scraper) — Extract vehicle listings from Cars.com ### 📖 About Depop Depop is the leading Gen Z fashion marketplace with 30M+ monthly users. Owned by Etsy since 2021, it's the go-to platform for buying and selling unique fashion, vintage clothing, and streetwear. This scraper lets you tap into Depop's massive product catalog programmatically. # Actor input Schema ## `searchQueries` (type: `array`): List of keywords to search for on Depop (e.g., 'vintage jacket', 'nike dunks', 'y2k dress'). ## `startUrls` (type: `array`): Direct Depop URLs to scrape. Supports search pages, product pages, seller shops, and category pages. ## `maxItems` (type: `integer`): Maximum number of product listings to extract. Higher values increase proxy/compute costs. Set 0 for unlimited (use with caution). ## `sort` (type: `string`): How to sort search results. ## `scrapeProductDetails` (type: `boolean`): When enabled, visits each product page to extract full details (description, seller info, shipping). Slower and more expensive — only enable when you need deep data. ## `proxyConfiguration` (type: `object`): Proxy settings. Residential proxies are strongly recommended for Depop. Datacenter proxies are frequently blocked by Cloudflare and may return 403 with zero results. ## Actor input object example ```json { "searchQueries": [ "vintage jacket" ], "startUrls": [ { "url": "https://www.depop.com/search/?q=vintage+jacket" } ], "maxItems": 10, "sort": "relevance", "scrapeProductDetails": false, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `depopListings` (type: `string`): Dataset containing scraped Depop listings with pricing, brand, size, condition, and seller data. # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQueries": [ "vintage jacket" ], "startUrls": [ { "url": "https://www.depop.com/search/?q=vintage+jacket" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("h4sh/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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchQueries": ["vintage jacket"], "startUrls": [{ "url": "https://www.depop.com/search/?q=vintage+jacket" }], } # Run the Actor and wait for it to finish run = client.actor("h4sh/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": [ "vintage jacket" ], "startUrls": [ { "url": "https://www.depop.com/search/?q=vintage+jacket" } ] }' | apify call h4sh/depop-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=h4sh/depop-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Depop Scraper", "description": "Scrape Depop for fashion resale listings with prices, brands, sizes, seller info and 30+ data fields. The FIRST and ONLY Depop scraper on Apify Store.", "version": "0.1", "x-build-id": "WeGsqpc0gjRgonr2Q" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/h4sh~depop-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-h4sh-depop-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/h4sh~depop-scraper/runs": { "post": { "operationId": "runs-sync-h4sh-depop-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/h4sh~depop-scraper/run-sync": { "post": { "operationId": "run-sync-h4sh-depop-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "searchQueries": { "title": "Search Queries", "type": "array", "description": "List of keywords to search for on Depop (e.g., 'vintage jacket', 'nike dunks', 'y2k dress').", "items": { "type": "string" } }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Direct Depop URLs to scrape. Supports search pages, product pages, seller shops, and category pages.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max Items", "minimum": 0, "type": "integer", "description": "Maximum number of product listings to extract. Higher values increase proxy/compute costs. Set 0 for unlimited (use with caution).", "default": 10 }, "sort": { "title": "Sort Order", "enum": [ "relevance", "newlyListed", "priceAscending", "priceDescending" ], "type": "string", "description": "How to sort search results.", "default": "relevance" }, "scrapeProductDetails": { "title": "Scrape Full Product Details", "type": "boolean", "description": "When enabled, visits each product page to extract full details (description, seller info, shipping). Slower and more expensive — only enable when you need deep data.", "default": false }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Residential proxies are strongly recommended for Depop. Datacenter proxies are frequently blocked by Cloudflare and may return 403 with zero results.", "default": { "useApifyProxy": true } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```