# Thredup Scraper (`lexis-solutions/thredup-scraper`) Actor Scrape ThredUp listings with structured data — price, condition, size, brand, material & images. Perfect for resale market research, catalog monitoring & BI pipelines. Supports pagination & proxy config. - **URL**: https://apify.com/lexis-solutions/thredup-scraper.md - **Developed by:** [Lexis Solutions](https://apify.com/lexis-solutions) (community) - **Categories:** E-commerce, AI, Agents - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.90 / 1,000 products 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 ## ThredUp Scraper ![banner](https://i.imgur.com/7RcYFGi.png) ThredUp (thredup.com) is a US resale fashion marketplace. This actor starts from ThredUp listing pages, paginates through result pages, opens product detail pages, and extracts structured product data into an Apify dataset. ### Introduction The ThredUp scraper is designed for collection-style listing URLs such as women, category, and filtered storefront pages. It follows pagination using the `page` query parameter, respects `maxItems` per start URL, and stores product detail data such as pricing, condition, size, category, material hints, breadcrumbs, and image URLs. ### Use Cases - **Resale market research**: Track pricing, discounts, product mix, and brand presence. - **Catalog monitoring**: Watch changes in secondhand assortment over time. - **Competitive intelligence**: Compare category depth, brands, and merchandising patterns. - **Data pipelines**: Export structured product data for BI, analytics, and warehousing. ### Input Provide the following fields: - `startUrls` (array, required): ThredUp listing URLs to crawl. - `maxItems` (integer, required): Maximum number of product detail pages to scrape per start URL. - `proxyConfiguration` (object, optional): Apify proxy settings. US residential proxies are recommended. Notes: - Start from listing URLs such as `https://www.thredup.com/women?department_tags=women`. - The actor paginates using `page=2`, `page=3`, and so on until `maxItems` is reached or there are no more items. - If a start URL is already a product detail URL, the current actor can still route it, but the intended workflow is listing-first. - The site may trigger anti-bot checks, so stable proxy setup is important. ### Input Example ```json { "startUrls": [ { "url": "https://www.thredup.com/women?department_tags=women" } ], "maxItems": 10, "proxyConfiguration": { "useApifyProxy": false } } ```` ### Output Each dataset item contains product detail fields like: ```json { "url": "https://www.thredup.com/product/women-zara-red-pullover-sweater/220695041", "itemId": "220695041", "title": "Zara Pullover Sweater", "brand": "Zara", "category": "Tops", "color": "Red", "size": "M", "condition": "excellent", "currentPrice": 14.99, "originalPrice": 29.99, "salePrice": 14.99, "estimatedRetailPrice": 60, "estimatedRetailDiscountPercent": 50, "availability": "InStock", "onlyOneAvailable": true, "finalSale": false, "material": "100% Cotton", "materials": ["100% Cotton"], "attributes": ["Long sleeve", "Pullover"], "itemDetails": ["100% Cotton", "Long sleeve", "Pullover"], "sizeAndFit": ["Size M", "Measured at 16\" length (approx.)"], "shippingAndReturn": ["Free shipping on orders over $89"], "breadcrumb": ["Home", "Juniors", "Zara", "Tops"], "images": ["https://cf-assets-thredup.thredup.com/assets/.../retina.jpg"], "pageTitle": "Zara Argyle Red Pullover Sweater Size M - 50% off | ThredUp" } ``` The exact fields may vary slightly by product page because ThredUp does not expose every detail consistently on every listing. ### Why use the ThredUp Scraper? - **Listing-to-detail workflow**: Starts from browse pages and automatically follows product detail links. - **Pagination support**: Moves through `page + 1` until limits are reached. - **Per-URL limits**: `maxItems` is tracked independently for each start URL. - **Structured output**: Useful for resale analysis, catalog research, and downstream automation. - **Apify-native**: Works with Apify datasets, request queue, and proxy configuration. ### FAQ - **How many items can it scrape?**\ Controlled by `maxItems` per start URL. - **Do I need proxies?**\ Yes, proxies are strongly recommended. US residential proxies work best for this site. - **Does it scrape listing cards or product pages?**\ It discovers items from listing pages and stores detail-page data in the dataset. - **Will all products contain the same fields?**\ No. Some pages expose more complete data than others, especially around material, fit, and shipping info. - **What happens if ThredUp changes its layout?**\ Selectors and extraction logic may need updates to keep output stable. ### Need to scrape other fashion and resale platforms? Check out our other scrapers: - [The RealReal](https://apify.com/lexis-solutions/therealreal-com-scraper) - [Depop](https://apify.com/lexis-solutions/depop-scraper) - [Poshmark](https://apify.com/lexis-solutions/poshmark-scraper) - [Shopbop](https://apify.com/lexis-solutions/shopbop-scraper) *** **Need help or want a custom solution?** Lexis Solutions is a certified Apify Partner. We can help with custom data extraction projects. Contact us over [Email](mailto:scraping@lexis.solutions) or [LinkedIn](https://www.linkedin.com/company/lexis-solutions). ### Support Our Work If you're happy with our work and scrapers, you're welcome to leave a company review [here](https://apify.com/partners/find/lexis-solutions/review) and leave a review for the scrapers you're subscribed to. ### Image Credit Image credit: thredup.com. # Actor input Schema ## `startUrls` (type: `array`): ThredUp listing URLs to start from. ## `maxItems` (type: `integer`): Maximum number of product detail pages to scrape per original start URL. ## `proxyConfiguration` (type: `object`): Apify proxy configuration. US residential proxies are recommended for stability. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.thredup.com/women?department_tags=women" } ], "maxItems": 10, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `overview` (type: `string`): No description # 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 = { "startUrls": [ { "url": "https://www.thredup.com/women?department_tags=women" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("lexis-solutions/thredup-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 = { "startUrls": [{ "url": "https://www.thredup.com/women?department_tags=women" }] } # Run the Actor and wait for it to finish run = client.actor("lexis-solutions/thredup-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": [ { "url": "https://www.thredup.com/women?department_tags=women" } ] }' | apify call lexis-solutions/thredup-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lexis-solutions/thredup-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Thredup Scraper", "description": "Scrape ThredUp listings with structured data — price, condition, size, brand, material & images. Perfect for resale market research, catalog monitoring & BI pipelines. Supports pagination & proxy config.", "version": "1.0", "x-build-id": "eOoCDz2C0lDyy6ueV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lexis-solutions~thredup-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lexis-solutions-thredup-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lexis-solutions~thredup-scraper/runs": { "post": { "operationId": "runs-sync-lexis-solutions-thredup-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lexis-solutions~thredup-scraper/run-sync": { "post": { "operationId": "run-sync-lexis-solutions-thredup-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "startUrls", "maxItems" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "ThredUp listing URLs to start from.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Maximum number of items", "minimum": 1, "type": "integer", "description": "Maximum number of product detail pages to scrape per original start URL.", "default": 10 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Apify proxy configuration. US residential proxies are recommended for stability.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```