# Poshmark Scraper (`parseforge/poshmark-scraper`) Actor Scrape Poshmark listings by keyword or seller closet. Extract prices, sold data, seller ratings, brand, size, condition, and 40+ fields per listing. Filter by department, price range, color, and availability. Export to JSON, CSV, or Excel. - **URL**: https://apify.com/parseforge/poshmark-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** E-commerce, Lead generation, Other - **Stats:** 7 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true) ## πŸ‘œ Poshmark Scraper > πŸ•’ **Last updated:** 2026-05-05 Pull listings from Poshmark by keyword or seller closet. Get sold prices, days to sell data, seller ratings, and 40+ fields per listing. Download as CSV or JSON. Search for any keyword or point it at a specific seller's closet. Filter by price range, size, color, condition, department, and availability. Great for resellers tracking competition, analysts studying resale trends, or anyone who needs Poshmark data in bulk. ### ✨ What Does It Do - πŸ” **Keyword search** - find listings across all of Poshmark for any query - πŸ‘— **Seller closet** - pull every listing from a specific seller - πŸ’° **Sold price tracking** - filter for sold items to see what prices actually cleared - ⏱️ **Days to sell** - automatically calculated from listing date to sale date - πŸ“Š **Seller metrics** - followers, items sold, love notes, five-star ratings - 🎯 **Advanced filters** - price range, size, color, condition, department, shipping, listing type - πŸ“₯ **Export ready** - download as CSV or JSON ### πŸ—ƒοΈ What Poshmark Data Can You Extract? Poshmark Scraper pulls any kind of listing data from Poshmark search results and seller closets, such as: | | | | |---|---|---| | πŸ–ΌοΈ Listing image | 🏷️ Title | πŸ‘Ÿ Brand | | πŸ“ Size | 🏁 Condition | πŸ—‚οΈ Category | | πŸ’΅ Price | πŸ’² Original price | πŸ“¦ Inventory status | | ❀️ Like count | πŸ” Share count | πŸ’¬ Comment count | | 🎨 Colors | 🏷️ Style tags | πŸ’Ό Has active offers | | 🎁 Bundle discount | 🚚 Shipping discount | πŸ‘€ Seller username | | πŸ‘₯ Seller followers | πŸ“ˆ Seller items sold | ⭐ Seller ratings | | ⏱️ Time to sell (days) | πŸ“ Description | πŸ”— Listing URL | | πŸ“… First published | πŸ“… Sold date | πŸ“… Scraped date | ### 🎬 Demo Video Demo video coming soon. ### πŸ”§ Input - **Search Query** - keyword to search (e.g. "nike shoes", "lululemon leggings") - **Max Items** - how many listings to collect (free: up to 100, paid: up to 1,000,000) - **Scrape Mode** - `search` for keyword results or `seller_closet` for a specific user - **Seller Username** - Poshmark username when using seller closet mode - **Department** - Women, Men, Kids, Home, Electronics, Pets, Luxury, Beauty & Wellness - **Availability** - all, available, sold items, dropping soon - **Condition** - any or New With Tags (NWT) only - **Price Min / Max** - strict price range filter in USD - **Size** - filter by size (e.g. "8", "XL", "Medium") - **Color** - filter by color (e.g. "Red", "Black") - **Shipping** - free shipping or discounted shipping only - **Listing Type** - closet or boutique - **Sort By** - best match, newest, price high/low, price drop, most liked, relevance Example input: ```json { "searchQuery": "nike shoes", "maxItems": 10, "scrapeMode": "search", "availability": "sold_out", "department": "Women", "condition": "all", "priceMin": 20, "priceMax": 150, "sortBy": "best_match" } ```` ### πŸ“Š Output Each listing includes 40+ fields. Download as CSV or JSON from the dataset tab. Example output: ```json { "imageUrl": "https://di2ponv0v5otw.cloudfront.net/posts/...", "id": "65a1f2970dfd6407f0c0bf4b", "title": "Nike Air Max 270 Women's Size 8", "brand": "Nike", "condition": "nwt", "size": "8", "category": "Shoes", "department": "Women", "price": 75, "originalPrice": 150, "inventoryStatus": "sold_out", "likeCount": 12, "shareCount": 34, "colors": ["White", "Pink"], "styleTags": ["Athletic", "Running"], "sellerUsername": "sneakerqueen_nyc", "sellerFollowers": 842, "sellerItemsSoldDisplay": "500+ sold", "sellerFiveStarRatingCount": 318, "timeToSellDays": 3.5, "url": "https://poshmark.com/listing/65a1f2970dfd6407f0c0bf4b", "scrapedAt": "2025-03-17T14:30:00.000Z" } ``` ### πŸ’Ž Why Use This Tool? | Feature | This Tool | Manual browsing | |---|---|---| | Bulk export sold listings | βœ”οΈ | ❌ | | Days to sell calculation | βœ”οΈ | ❌ | | Seller performance metrics | βœ”οΈ | ❌ | | Price range strict filtering | βœ”οΈ | Partial | | Size + color + department combined | βœ”οΈ | ❌ | | Seller closet full export | βœ”οΈ | ❌ | | CSV / JSON download | βœ”οΈ | ❌ | ### πŸ“‹ How to Use 1. **Sign Up** - [Create a free Apify account with $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) 2. **Find the tool** - search for "Poshmark Scraper" in Apify Store 3. **Set your input** - pick search mode, enter keywords or a seller username 4. **Add filters** - price range, size, color, condition, department 5. **Run it** - click Start and watch results appear 6. **Download** - export as CSV, Excel, or JSON ### 🎯 Use Cases **Resellers & Flippers** - Track sold prices for specific brands and sizes - See how long items sit before selling (days to sell) - Find underpriced listings by comparing to sold comps **Market Researchers** - Analyze pricing trends across categories - Monitor competitor seller activity - Build datasets for resale market studies **Brand Teams** - Track how your brand's products are being resold - Monitor resale prices vs. retail - Identify top resellers in your category *** ### ✨ Why choose this Actor | | Capability | |---|---| | 🎯 | **Built for the job.** Scoped specifically to this data source so you skip the parser engineering entirely. | | πŸ”– | **Structured output.** Clean, typed fields ready for analysis, dashboards, or downstream pipelines. | | ⚑ | **Fast.** Optimized request patterns return results in seconds, not minutes. | | πŸ” | **Always fresh.** Every run pulls live data, so the dataset reflects the source as of run time. | | 🌐 | **No infra to manage.** Apify handles proxies, retries, scaling, scheduling, and storage. | | πŸ›‘οΈ | **Reliable.** Battle-tested across many runs and edge cases, with graceful error handling. | | 🚫 | **No code required.** Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK. | > πŸ“Š Production-grade structured data without the engineering overhead of building and maintaining your own scraper. *** ### πŸ“ˆ How it compares to alternatives | Approach | Cost | Coverage | Refresh | Filters | Setup | |---|---|---|---|---|---| | **⭐ Poshmark Scraper** *(this Actor)* | $5 free credit, then pay-per-use | Full source coverage | **Live per run** | Source-native filters supported | ⚑ 2 min | | Build your own scraper | Engineering hours | Full once built | Whenever you maintain it | Custom code | 🐒 Days to weeks | | Paid managed APIs | $$$ monthly | Vendor-defined | Live | Vendor-defined | ⏳ Hours | | Third-party data dumps | Varies | Subset, often stale | Periodic | None | πŸ•’ Variable | Pick this Actor when you want broad coverage, server-side filtering, and no pipeline maintenance. *** ### πŸš€ How to use 1. πŸ“ **Sign up.** [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) (takes 2 minutes). 2. 🌐 **Open the Actor.** Go to the Poshmark Scraper page on the Apify Store. 3. 🎯 **Set input.** Configure the input fields in the form (or paste a JSON), then set `maxItems`. 4. πŸš€ **Run it.** Click **Start** and let the Actor collect your data. 5. πŸ“₯ **Download.** Grab your results in the **Dataset** tab as CSV, Excel, JSON, or XML. > ⏱️ Total time from signup to downloaded dataset: **3-5 minutes.** No coding required. *** ### πŸ’Ό Business use cases
#### πŸ“Š Data & Analytics - Build trend reports and dashboards from live source data - Feed BI tools, warehouses, and ML pipelines with structured records - Run periodic snapshots to track changes over time - Compare segments, regions, or categories with consistent fields #### 🏒 Operations & Strategy - Monitor competitor moves, pricing, and inventory shifts - Build internal directories and lookup tools backed by current data - Power workflows that depend on fresh source records - Cut manual data-gathering time from hours to minutes
#### 🎯 Marketing & Growth - Identify market opportunities and trending topics - Research target audiences and customer personas at scale - Power lead-generation pipelines with verified records - Track sentiment, reviews, or social signals over time #### πŸ› οΈ Engineering & Product - Prototype features that need real-world data without owning a crawler - Replace fragile in-house scrapers with a managed Actor - Wire datasets into your apps via the Apify API or webhooks - Skip the proxy, retry, and parsing maintenance entirely
*** ### 🌟 Beyond business use cases Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.
#### πŸŽ“ Research and academia - Empirical datasets for papers, thesis work, and coursework - Longitudinal studies tracking changes across snapshots - Reproducible research with cited, versioned data pulls - Classroom exercises on data analysis and ethical scraping #### 🎨 Personal and creative - Side projects, portfolio demos, and indie app launches - Data visualizations, dashboards, and infographics - Content research for bloggers, YouTubers, and podcasters - Hobbyist collections and personal trackers
#### 🀝 Non-profit and civic - Transparency reporting and accountability projects - Advocacy campaigns backed by public-interest data - Community-run databases for local issues - Investigative journalism on public records #### πŸ§ͺ Experimentation - Prototype AI and machine-learning pipelines with real data - Validate product-market hypotheses before engineering spend - Train small domain-specific models on niche corpora - Test dashboard concepts with live input
### πŸ€– Ask an AI assistant about this scraper Open a ready-to-send prompt about this ParseForge actor in the AI of your choice: - πŸ’¬ [**ChatGPT**](https://chat.openai.com/?q=How%20do%20I%20use%20the%20POSHMARK%20SCRAPER%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - 🧠 [**Claude**](https://claude.ai/new?q=How%20do%20I%20use%20the%20POSHMARK%20SCRAPER%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - πŸ” [**Perplexity**](https://perplexity.ai/search?q=How%20do%20I%20use%20the%20POSHMARK%20SCRAPER%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - πŸ…’ [**Copilot**](https://copilot.microsoft.com/?q=How%20do%20I%20use%20the%20POSHMARK%20SCRAPER%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) *** ### ❓ Frequently Asked Questions **Does it get sold listings?** Yes. Set availability to "Sold Items" to get only sold listings with the date sold and final price. **Can I pull all listings from a seller's entire closet?** Yes. Set the mode to "seller\_closet" and enter the seller's username. It paginates through all their listings automatically. **How accurate is the Days to sell calculation?** It's calculated as days between `firstPublishedAt` and `inventoryStatusChangedAt` (sold date). Accurate for listings that weren't relisted. **Does the price filter work strictly?** Yes. Yes. Every result is verified to fall within your specified range. **Can I schedule recurring runs?** Yes. Connect via Make, Zapier, or Apify Scheduler to run daily or weekly. ### πŸ”— Integrate with Any App - [Make](https://docs.apify.com/platform/integrations/make) - Automate workflows - [Zapier](https://docs.apify.com/platform/integrations/zapier) - Connect 5,000+ apps - [GitHub](https://docs.apify.com/platform/integrations/github) - Version control integration - [Slack](https://docs.apify.com/platform/integrations/slack) - Get run notifications - [Airbyte](https://docs.apify.com/platform/integrations/airbyte) - Data pipelines - [Google Drive](https://docs.apify.com/platform/integrations/drive) - Export to spreadsheets ### πŸ”Œ Integrate with any app Poshmark Scraper connects to any cloud service via [Apify integrations](https://apify.com/integrations): - [**Make**](https://docs.apify.com/platform/integrations/make) - Automate multi-step workflows - [**Zapier**](https://docs.apify.com/platform/integrations/zapier) - Connect with 5,000+ apps - [**Slack**](https://docs.apify.com/platform/integrations/slack) - Get run notifications in your channels - [**Airbyte**](https://docs.apify.com/platform/integrations/airbyte) - Pipe results into your warehouse - [**GitHub**](https://docs.apify.com/platform/integrations/github) - Trigger runs from commits and releases - [**Google Drive**](https://docs.apify.com/platform/integrations/drive) - Export datasets straight to Sheets You can also use webhooks to trigger downstream actions when a run finishes. Push fresh data into your product backend, or alert your team in Slack. *** ### πŸ’‘ More ParseForge Actors | Actor | Description | Link | |-------|-------------|------| | Trustpilot Reviews Scraper | Pull business reviews and ratings at scale | [Link](https://apify.com/parseforge/trustpilot-reviews-scraper) | | Google News Scraper | Collect news articles by keyword or topic | [Link](https://apify.com/parseforge/google-news-scraper) | | Instagram Profile Scraper | Extract public profile data from Instagram | [Link](https://apify.com/parseforge/instagram-profile-scraper) | πŸ’‘ Browse all [ParseForge data tools](https://apify.com/parseforge) ### πŸ†˜ Need Help? Check the FAQ above or [contact us](https://tally.so/r/BzdKgA) for custom requests or issues. ### πŸ“ž Contact Request a new scraper, propose a custom data project, or report an issue at https://tally.so/r/BzdKgA ### ⚠️ Disclaimer > **Disclaimer:** This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Poshmark or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. *** ### πŸ”— Recommended Actors - [**πŸ” Google Search Scraper**](https://apify.com/parseforge/google-search-scraper) - Multi-engine SERP results with country and language targeting - [**πŸ—ΊοΈ Nominatim OSM Scraper**](https://apify.com/parseforge/nominatim-osm-scraper) - Geocode addresses via OpenStreetMap - [**πŸ“Š Indexmundi Scraper**](https://apify.com/parseforge/indexmundi-scraper) - Global demographic and economic indicators - [**πŸ“° RAG Web Browser**](https://apify.com/parseforge/rag-web-browser) - Crawl and extract clean text from any URL for AI retrieval - [**🌐 Website Content Crawler**](https://apify.com/parseforge/website-content-crawler) - Crawl entire sites and export structured content > πŸ’‘ **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for more reference-data scrapers. # Actor input Schema ## `searchQuery` (type: `string`): Keyword to search for listings (e.g. "nike shoes"). Used when scrapeMode is "search". ## `maxItems` (type: `integer`): Free users: Limited to 100. Paid users: Optional, max 1,000,000. ## `scrapeMode` (type: `string`): Search listings by keyword, or scrape all items from a seller's closet. ## `sellerUsername` (type: `string`): Poshmark username whose closet to scrape (e.g. "tiffanymars000"). Required when scrapeMode is "seller\_closet". ## `department` (type: `string`): Filter by department. ## `availability` (type: `string`): Filter by listing availability status. ## `condition` (type: `string`): Filter by item condition. ## `listingType` (type: `string`): Filter by listing type: regular closet or boutique items. ## `priceMin` (type: `integer`): Minimum listing price in USD. ## `priceMax` (type: `integer`): Maximum listing price in USD. ## `shipping` (type: `string`): Filter by shipping offer. ## `color` (type: `string`): Filter by color (e.g. "Red", "Black", "Blue"). ## `size` (type: `string`): Filter by size (e.g. "8", "XL", "Medium"). Depends on the selected department. ## `sortBy` (type: `string`): How to sort search results. ## Actor input object example ```json { "searchQuery": "nike shoes", "maxItems": 10, "scrapeMode": "search", "availability": "sold_out", "sortBy": "best_match" } ``` # Actor output Schema ## `results` (type: `string`): Dataset with all scraped 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQuery": "nike shoes", "maxItems": 10, "scrapeMode": "search", "availability": "sold_out", "sortBy": "best_match" }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/poshmark-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "searchQuery": "nike shoes", "maxItems": 10, "scrapeMode": "search", "availability": "sold_out", "sortBy": "best_match", } # Run the Actor and wait for it to finish run = client.actor("parseforge/poshmark-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchQuery": "nike shoes", "maxItems": 10, "scrapeMode": "search", "availability": "sold_out", "sortBy": "best_match" }' | apify call parseforge/poshmark-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/poshmark-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Poshmark Scraper", "description": "Scrape Poshmark listings by keyword or seller closet. Extract prices, sold data, seller ratings, brand, size, condition, and 40+ fields per listing. Filter by department, price range, color, and availability. Export to JSON, CSV, or Excel.", "version": "1.0", "x-build-id": "4bvcWLKfjSIhasLb7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~poshmark-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-poshmark-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~poshmark-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-poshmark-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~poshmark-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-poshmark-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Keyword to search for listings (e.g. \"nike shoes\"). Used when scrapeMode is \"search\"." }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Free users: Limited to 100. Paid users: Optional, max 1,000,000." }, "scrapeMode": { "title": "Scrape Mode", "enum": [ "search", "seller_closet" ], "type": "string", "description": "Search listings by keyword, or scrape all items from a seller's closet." }, "sellerUsername": { "title": "Seller Username", "type": "string", "description": "Poshmark username whose closet to scrape (e.g. \"tiffanymars000\"). Required when scrapeMode is \"seller_closet\"." }, "department": { "title": "Department", "enum": [ "", "Women", "Men", "Kids", "Home", "Electronics", "Pets", "Luxury", "Beauty & Wellness" ], "type": "string", "description": "Filter by department." }, "availability": { "title": "Availability", "enum": [ "all", "available", "available_dropping_soon", "dropping_soon", "sold_out" ], "type": "string", "description": "Filter by listing availability status." }, "condition": { "title": "Condition", "enum": [ "all", "nwt" ], "type": "string", "description": "Filter by item condition." }, "listingType": { "title": "Listing Type", "enum": [ "", "closet", "boutique" ], "type": "string", "description": "Filter by listing type: regular closet or boutique items." }, "priceMin": { "title": "Min Price ($)", "minimum": 0, "type": "integer", "description": "Minimum listing price in USD." }, "priceMax": { "title": "Max Price ($)", "minimum": 0, "type": "integer", "description": "Maximum listing price in USD." }, "shipping": { "title": "Shipping", "enum": [ "", "free", "free_discounted" ], "type": "string", "description": "Filter by shipping offer." }, "color": { "title": "Color", "type": "string", "description": "Filter by color (e.g. \"Red\", \"Black\", \"Blue\")." }, "size": { "title": "Size", "type": "string", "description": "Filter by size (e.g. \"8\", \"XL\", \"Medium\"). Depends on the selected department." }, "sortBy": { "title": "Sort By", "enum": [ "best_match", "added_desc", "price_desc", "price_asc", "price_drop", "like_count", "relevance_v2" ], "type": "string", "description": "How to sort search results." } } }, "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 } } } } } } } } } } ```