# Rebag Luxury Resale Listings Scraper (`jungle_synthesizer/rebag-luxury-resale-listings-scraper`) Actor Scrapes 50 000+ live listings from Rebag, a top-3 US luxury consignor. Outputs brand, price, condition, hardware, and native price-band facets for Hermès, Chanel, LV, Cartier and 100+ more brands. Ready to join with other consignor datasets for cross-platform price analysis. - **URL**: https://apify.com/jungle\_synthesizer/rebag-luxury-resale-listings-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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. 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 ## Rebag Luxury Resale Listings Scraper Scrapes live listings from [Rebag](https://shop.rebag.com) — a top-3 US luxury consignor carrying Hermès, Chanel, Louis Vuitton, Cartier, and 100+ more brands. Returns structured records for handbags, jewelry, watches, and accessories across Rebag's full inventory. The site uses a public Shopify JSON API. No browser, no proxy, no anti-bot dance. Each price-band collection exposes up to 250 listings per page; the actor paginates all of them and deduplicates by product ID across collections. --- ### What You Get 50 000+ listings when run to completion. Each record includes: - **Brand and product details** — vendor, product type, handle, title, SKU, Shopify product and variant IDs - **Parsed luxury attributes** — condition grade (Excellent / Very Good / Good), exterior color, material (Togo, Caviar, Canvas…), hardware finish (Gold, Palladium, Silver) - **Pricing** — current price in USD, compare-at (strikethrough) price, and the native Rebag price band ($100–$500, $500–$1,500, …, $3,000+) - **Availability** — whether the item is in stock - **Media** — product image CDN URLs - **Tags** — raw Shopify facet tags for downstream filtering - **URLs** — canonical product URL on shop.rebag.com - **Timestamps** — `published_at`, `updated_at`, `scraped_at` --- ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `collections` | array of strings | all 8 price-band collections | Rebag collection handles to scrape. Uses Shopify's `/collections//products.json` endpoint. | | `maxItems` | integer | 15 | Maximum listings to return. Set to 0 for unlimited. | #### Default collections (all price bands) ```json [ "100-to-500", "500-to-1-500", "1-000-to-2-500", "1-500-to-3-000", "2-500-to-5-000", "3-000-and-up", "5-000-to-10-000", "20-000-00-items" ] ```` You can also pass any other Rebag collection handle (brand collections, category collections, sale collections). Find handles at `shop.rebag.com/collections/`. *** ### Output Schema | Field | Type | Description | |-------|------|-------------| | `listing_id` | string | Shopify product ID — unique per listing | | `variant_id` | string | Shopify variant ID | | `sku` | string | Rebag internal SKU / barcode | | `title` | string | Full product title (e.g. "Kelly Handbag Noir Togo with Gold Hardware 28") | | `brand` | string | Brand / vendor (Hermès, Chanel, Louis Vuitton, …) | | `product_type` | string | Category (Handbags, Jewelry, Watches, Accessories, Shoes, …) | | `condition` | string | Rebag condition grade parsed from tags | | `color` | string | Exterior color parsed from tags | | `material` | string | Material parsed from tags (Togo, Caviar, Canvas Plain, …) | | `hardware` | string | Hardware finish from title or tags (Gold, Palladium, Silver, …) | | `price_usd` | number | Current listing price in USD | | `compare_at_price_usd` | number | Strikethrough price in USD — null if not discounted | | `price_band` | string | Rebag native price-band label (e.g. "$500 to $1,500") | | `available` | boolean | Whether the listing is currently in stock | | `tags` | array | Raw Shopify facet tags | | `handle` | string | Shopify URL slug | | `product_url` | string | Full canonical URL on shop.rebag.com | | `image_urls` | array | Product image CDN URLs | | `published_at` | string | ISO 8601 listing publish timestamp | | `updated_at` | string | ISO 8601 last product update timestamp | | `scraped_at` | string | ISO 8601 UTC scrape timestamp | *** ### Use Cases **Price comparison and arbitrage.** Rebag, Fashionphile, and TheRealReal all sell the same brands. This actor's output schema matches the Fashionphile scraper — join on brand + model to find the best price across consignors in a single query. **Market analysis.** The native price-band facet lets you segment the secondary-market inventory by price tier without any post-processing. Filter `product_type = "Handbags"` and group by `brand` to see where Hermès inventory concentrates. **Authentication and appraisal reference.** Rebag runs the Clair AI resale-value tool. Their listed prices are reference points for secondary-market valuation. **New arrivals monitoring.** Narrow to `collections: ["new-arrivals"]` and schedule daily runs to catch fresh inventory as it lands. *** ### Notes - Rebag is a Shopify storefront. The public `/products.json` endpoint is unauthenticated and returns clean JSON — no browser automation or proxy needed. - Condition, color, material, and hardware are parsed from Rebag's `bc-filter-*` tag scheme. Not every listing has all four; fields are null when the tag isn't present. - Deduplication is applied across collections by Shopify product ID. A bag listed in both `500-to-1-500` and a brand collection is emitted once, tagged with the price-band's label. - The `compare_at_price_usd` field is only populated for discounted/sale items. *** ### Cost Uses the standard PPE pricing model — $0.10 per run start + $0.001 per record. A full 50 000-item crawl costs roughly $50. A 1 000-item sample costs about $1.10. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `maxItems` (type: `integer`): Maximum number of listings to scrape (0 = unlimited, scrapes all collections) ## `collections` (type: `array`): Rebag price-band collection handles to scrape. Defaults to all 8 price-band collections. Example: \["100-to-500", "500-to-1-500"]. Use the handle from shop.rebag.com/collections/. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 15, "collections": [ "100-to-500", "500-to-1-500", "1-000-to-2-500", "1-500-to-3-000", "2-500-to-5-000", "3-000-and-up", "5-000-to-10-000", "20-000-00-items" ] } ``` # Actor output Schema ## `results` (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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 15, "collections": [ "100-to-500", "500-to-1-500", "1-000-to-2-500", "1-500-to-3-000", "2-500-to-5-000", "3-000-and-up", "5-000-to-10-000", "20-000-00-items" ] }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/rebag-luxury-resale-listings-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 15, "collections": [ "100-to-500", "500-to-1-500", "1-000-to-2-500", "1-500-to-3-000", "2-500-to-5-000", "3-000-and-up", "5-000-to-10-000", "20-000-00-items", ], } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/rebag-luxury-resale-listings-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 15, "collections": [ "100-to-500", "500-to-1-500", "1-000-to-2-500", "1-500-to-3-000", "2-500-to-5-000", "3-000-and-up", "5-000-to-10-000", "20-000-00-items" ] }' | apify call jungle_synthesizer/rebag-luxury-resale-listings-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/rebag-luxury-resale-listings-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Rebag Luxury Resale Listings Scraper", "description": "Scrapes 50 000+ live listings from Rebag, a top-3 US luxury consignor. Outputs brand, price, condition, hardware, and native price-band facets for Hermès, Chanel, LV, Cartier and 100+ more brands. Ready to join with other consignor datasets for cross-platform price analysis.", "version": "0.1", "x-build-id": "Cj0YU1abVj7eDaG7u" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~rebag-luxury-resale-listings-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-rebag-luxury-resale-listings-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/jungle_synthesizer~rebag-luxury-resale-listings-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-rebag-luxury-resale-listings-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/jungle_synthesizer~rebag-luxury-resale-listings-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-rebag-luxury-resale-listings-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": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of listings to scrape (0 = unlimited, scrapes all collections)", "default": 15 }, "collections": { "title": "Collections to scrape", "type": "array", "description": "Rebag price-band collection handles to scrape. Defaults to all 8 price-band collections.\nExample: [\"100-to-500\", \"500-to-1-500\"]. Use the handle from shop.rebag.com/collections/.\n", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```