# ThredUp $1.5💰 Secondhand Fashion Listings & Prices (`abotapi/thredup-scraper`) Actor Scrape ThredUp.com resale listings by keyword, department, brand, size, condition and price. Returns 35+ fields per item: brand, price, original price, MSRP, size, colors, materials, condition, category and all photos. Search and URL modes, sorts and filters. - **URL**: https://apify.com/abotapi/thredup-scraper.md - **Developed by:** [AbotAPI](https://apify.com/abotapi) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 listing 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/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 Scrape public listings from ThredUp, one of the largest online resale and thrift marketplaces for secondhand clothing, shoes and accessories. Give it keywords plus a department and filters, or paste ThredUp category and item URLs, and get clean structured JSON: brand, price, original price, MSRP, size, colors, materials, condition, category and every photo. Search and URL modes, four sort orders, and brand, category, material, condition and price filters are all built in. ### Why this scraper - Returns 35+ fields per item with no extra request: brand, price vs original price vs MSRP, size, condition, colors, materials, category, department and all photo URLs. - Two modes: keyword search with filters, or paste ThredUp category (PLP) and item URLs directly. - Filter by department, category, brand, material, style, condition and price range. - Three sort orders: relevance, price low to high, price high to low. - Optional full details: item description and garment measurements (chest, waist, inseam, length). - Fast, resilient extraction with automatic session refresh and retry. ### Data you get > Sample shape: values are illustrative placeholders, not from a live listing. | Field | Example | |---|---| | id | `200000000` | | itemNumber | `1500000000` | | url | `https://www.thredup.com/product/1500000000` | | title | `Sample Item Title` | | description | `Short item description appears here.` | | brand | `Sample Brand` | | price | `24.99` | | originalPrice | `39.99` | | msrp | `89` | | condition | `excellent` | | sizeDisplay | `Size M` | | department | `women` | | category | `dresses` | | colorNames | `["Black"]` | | materials | `["Cotton"]` | | newWithTags | `false` | | imageUrl | `https://tup-images.thredup.com/assets/000000000/xlarge.jpg` | | imageUrls | `["https://tup-images.thredup.com/assets/000000000/xlarge.jpg"]` | | fullDescription | `Full description appears when Fetch full details is on.` | | measurements | `{ "chest": "00", "length": "00" }` | ### How to use Search a department with filters: ```json { "mode": "search", "searchQueries": ["nike dress"], "department": "women", "brands": ["Nike"], "priceMin": 15, "priceMax": 60, "sortBy": "price_low_high", "maxItems": 50, "proxy": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US" } } ```` Browse a whole category with full details: ```json { "mode": "search", "department": "juniors", "categories": ["jeans"], "fetchDetails": true, "maxItems": 40 } ``` Paste ThredUp URLs (category pages and item pages): ```json { "mode": "url", "urls": [ "https://www.thredup.com/women?department_tags=women", "https://www.thredup.com/product/1500000000" ] } ``` ### Input parameters | Parameter | Type | Default | Description | |---|---|---|---| | mode | string | `search` | `search` (keywords + filters) or `url` (paste ThredUp URLs). | | searchQueries | array | none | Keywords (search mode). Leave empty to browse by filters. | | department | string | `women` | women, juniors, girls, boys, maternity, plus, petite, designer, handbags, shoes, accessories. | | categories | array | none | Category tags (e.g. dresses, jeans, sneakers). | | brands | array | none | Brand names (e.g. Nike, Madewell). | | materials / styles | array | none | Material and style tags. | | condition | array | none | Condition tags (excellent, very\_good, good, like\_new, new\_with\_tags). | | priceMin / priceMax | integer | none | Price range in USD. | | sortBy | string | `relevance` | relevance, price\_low\_high, price\_high\_low. | | urls | array | none | ThredUp category or item URLs (url mode). | | fetchDetails | boolean | `false` | Visit each item for full description and measurements. | | maxItems | integer | `20` | The single run cap. Set 0 for unlimited. | | maxPages | integer | `200` | Safety bound on pages per query; the run stops at maxItems. | | proxy | object | Residential US | Proxy configuration. | ### Output example > Sample shape: values are illustrative placeholders, not from a live listing. ```json { "id": 200000000, "itemNumber": "1500000000", "url": "https://www.thredup.com/product/1500000000", "title": "Sample Item Title", "description": "Short item description appears here.", "brand": "Sample Brand", "price": 24.99, "originalPrice": 39.99, "msrp": 89, "condition": "excellent", "newWithTags": false, "sizeDisplay": "Size M", "department": "women", "category": "dresses", "colorNames": ["Black"], "materials": ["Cotton"], "photoIds": ["000000000"], "imageUrls": ["https://tup-images.thredup.com/assets/000000000/xlarge.jpg"], "favoriteCount": 0, "warehouseId": 0 } ``` ### Send results into your apps (MCP connectors) Optionally pipe results into the apps you already use, through Model Context Protocol (MCP) connectors. Authorize a connector under Apify, Settings, API and Integrations, then select it in the `mcpConnectors` input. For Notion, also set `notionParentPageUrl`. Each item is written as a condensed, human-readable summary (title plus key fields), not the full JSON; the complete record always stays in the Apify dataset. Leave the field empty to skip; it never changes the dataset output. ### Plan requirement ThredUp only serves connections from the United States and filters non-US and datacenter connections. Use Apify Residential proxy with country US (Starter plan or higher includes Residential proxy access). On a free plan or a non-residential connection, runs will usually return zero items and a notice explaining the upgrade path. # Actor input Schema ## `mode` (type: `string`): 'search' builds ThredUp queries from your keywords + filters below. 'url' walks the ThredUp category (PLP) or item URLs you paste (filter fields are read from the URL). ## `searchQueries` (type: `array`): Keywords to search ThredUp for (e.g. 'nike dress', 'leather boots'). Each is scraped independently. Leave empty to browse a whole department/category by filters. ## `department` (type: `string`): Top-level department to search within. ThredUp carries women's, juniors and kids (girls/boys) apparel plus maternity, plus, petite, designer, handbags, shoes and accessories. ## `categories` (type: `array`): Category tags to narrow to (e.g. 'dresses', 'jeans', 'sneakers'). Match ThredUp's category slugs. ## `brands` (type: `array`): Brand names to filter by (e.g. 'Nike', 'Madewell', 'Lululemon'). ## `materials` (type: `array`): Material tags (e.g. 'Cotton', 'Leather', 'Silk'). ## `styles` (type: `array`): Style tags (e.g. 'Casual', 'Y2K'). ## `condition` (type: `array`): ThredUp condition tags to filter by (advanced; leave empty for any condition). Commonly available values: 'excellent', 'good'. The output 'condition' field shows the item's quality grade. ## `priceMin` (type: `integer`): Only return items priced at or above this amount. ## `priceMax` (type: `integer`): Only return items priced at or below this amount. ## `sortBy` (type: `string`): Order results are returned in. ## `urls` (type: `array`): Paste ThredUp category (PLP) URLs (https://www.thredup.com/women?...) or item URLs (https://www.thredup.com/product/). Multi-URL supported; filters and sort are read from each URL. ## `fetchDetails` (type: `boolean`): Visit each item page to add the full description and measurements (chest, waist, inseam, length, etc.). Slower and adds a small per-item charge; leave off for fast listings (which already include brand, price, size, condition, colors, materials and all photos). ## `maxItems` (type: `integer`): The single cap on this run: stop after collecting this many items (across all queries/URLs). Set 0 for unlimited. ## `maxPages` (type: `integer`): Safety bound on result pages walked per query. Leave at the default; the run stops at Max items, not here. ## `proxy` (type: `object`): Use Apify Residential proxy with country US for reliable results. ## `mcpConnectors` (type: `array`): Optionally send results into the apps you already use, via Model Context Protocol (MCP) connectors. Authorize one under Apify → Settings → API & Integrations, then select it here. Notion gets a rich page-per-item export; other connectors get a best-effort write/digest. Leave empty to skip; never changes the dataset output. Supported: Notion (https://mcp.notion.com/mcp), Linear (https://mcp.linear.app/sse), Airtable (https://mcp.airtable.com/mcp), Apify (https://mcp.apify.com). ## `notionParentPageUrl` (type: `string`): URL (or id) of the Notion page under which item pages are created. Required to enable the Notion export; ignored by other connectors. ## `maxNotifyListings` (type: `integer`): Cap on items written to each connector per run. Does not affect the dataset. ## Actor input object example ```json { "mode": "search", "searchQueries": [ "nike dress" ], "department": "women", "sortBy": "relevance", "urls": [ "https://www.thredup.com/women?department_tags=women" ], "fetchDetails": false, "maxItems": 20, "maxPages": 200, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" }, "maxNotifyListings": 50 } ``` # 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 = { "searchQueries": [ "nike dress" ], "department": "women", "urls": [ "https://www.thredup.com/women?department_tags=women" ], "maxItems": 20, "maxPages": 200, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("abotapi/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 = { "searchQueries": ["nike dress"], "department": "women", "urls": ["https://www.thredup.com/women?department_tags=women"], "maxItems": 20, "maxPages": 200, "proxy": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US", }, } # Run the Actor and wait for it to finish run = client.actor("abotapi/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 '{ "searchQueries": [ "nike dress" ], "department": "women", "urls": [ "https://www.thredup.com/women?department_tags=women" ], "maxItems": 20, "maxPages": 200, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }' | apify call abotapi/thredup-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=abotapi/thredup-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ThredUp $1.5💰 Secondhand Fashion Listings & Prices", "description": "Scrape ThredUp.com resale listings by keyword, department, brand, size, condition and price. Returns 35+ fields per item: brand, price, original price, MSRP, size, colors, materials, condition, category and all photos. Search and URL modes, sorts and filters.", "version": "1.0", "x-build-id": "ZH4eskETcrvdhZ8dD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/abotapi~thredup-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-abotapi-thredup-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/abotapi~thredup-scraper/runs": { "post": { "operationId": "runs-sync-abotapi-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/abotapi~thredup-scraper/run-sync": { "post": { "operationId": "run-sync-abotapi-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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "search", "url" ], "type": "string", "description": "'search' builds ThredUp queries from your keywords + filters below. 'url' walks the ThredUp category (PLP) or item URLs you paste (filter fields are read from the URL).", "default": "search" }, "searchQueries": { "title": "Search keywords", "type": "array", "description": "Keywords to search ThredUp for (e.g. 'nike dress', 'leather boots'). Each is scraped independently. Leave empty to browse a whole department/category by filters.", "items": { "type": "string" } }, "department": { "title": "Department", "enum": [ "women", "juniors", "girls", "boys", "maternity", "plus", "petite", "designer", "handbags", "shoes", "accessories" ], "type": "string", "description": "Top-level department to search within. ThredUp carries women's, juniors and kids (girls/boys) apparel plus maternity, plus, petite, designer, handbags, shoes and accessories.", "default": "women" }, "categories": { "title": "Categories", "type": "array", "description": "Category tags to narrow to (e.g. 'dresses', 'jeans', 'sneakers'). Match ThredUp's category slugs.", "items": { "type": "string" } }, "brands": { "title": "Brands", "type": "array", "description": "Brand names to filter by (e.g. 'Nike', 'Madewell', 'Lululemon').", "items": { "type": "string" } }, "materials": { "title": "Materials", "type": "array", "description": "Material tags (e.g. 'Cotton', 'Leather', 'Silk').", "items": { "type": "string" } }, "styles": { "title": "Style tags", "type": "array", "description": "Style tags (e.g. 'Casual', 'Y2K').", "items": { "type": "string" } }, "condition": { "title": "Condition tags", "type": "array", "description": "ThredUp condition tags to filter by (advanced; leave empty for any condition). Commonly available values: 'excellent', 'good'. The output 'condition' field shows the item's quality grade.", "items": { "type": "string" } }, "priceMin": { "title": "Minimum price (USD)", "minimum": 0, "type": "integer", "description": "Only return items priced at or above this amount." }, "priceMax": { "title": "Maximum price (USD)", "minimum": 0, "type": "integer", "description": "Only return items priced at or below this amount." }, "sortBy": { "title": "Sort by", "enum": [ "relevance", "price_low_high", "price_high_low" ], "type": "string", "description": "Order results are returned in.", "default": "relevance" }, "urls": { "title": "ThredUp URLs", "type": "array", "description": "Paste ThredUp category (PLP) URLs (https://www.thredup.com/women?...) or item URLs (https://www.thredup.com/product/). Multi-URL supported; filters and sort are read from each URL.", "items": { "type": "string" } }, "fetchDetails": { "title": "Fetch full details", "type": "boolean", "description": "Visit each item page to add the full description and measurements (chest, waist, inseam, length, etc.). Slower and adds a small per-item charge; leave off for fast listings (which already include brand, price, size, condition, colors, materials and all photos).", "default": false }, "maxItems": { "title": "Max items", "minimum": 0, "type": "integer", "description": "The single cap on this run: stop after collecting this many items (across all queries/URLs). Set 0 for unlimited.", "default": 20 }, "maxPages": { "title": "Max pages per query", "minimum": 1, "maximum": 200, "type": "integer", "description": "Safety bound on result pages walked per query. Leave at the default; the run stops at Max items, not here.", "default": 200 }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Use Apify Residential proxy with country US for reliable results.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }, "mcpConnectors": { "title": "Pipe results into your apps (optional)", "type": "array", "description": "Optionally send results into the apps you already use, via Model Context Protocol (MCP) connectors. Authorize one under Apify → Settings → API & Integrations, then select it here. Notion gets a rich page-per-item export; other connectors get a best-effort write/digest. Leave empty to skip; never changes the dataset output. Supported: Notion (https://mcp.notion.com/mcp), Linear (https://mcp.linear.app/sse), Airtable (https://mcp.airtable.com/mcp), Apify (https://mcp.apify.com)." }, "notionParentPageUrl": { "title": "Notion parent page (Notion connector only)", "type": "string", "description": "URL (or id) of the Notion page under which item pages are created. Required to enable the Notion export; ignored by other connectors." }, "maxNotifyListings": { "title": "Max items to export per connector", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Cap on items written to each connector per run. Does not affect the dataset.", "default": 50 } } }, "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 } } } } } } } } } } ```