# eBay Sold Scraper · Price Analytics (`santamaria-automations/ebay-sold-scraper`) Actor Scrape eBay sold listings for real transaction prices. Filter by date range and condition. Returns avg, median, and recommended price analytics per query. Supports 8 eBay marketplaces. - **URL**: https://apify.com/santamaria-automations/ebay-sold-scraper.md - **Developed by:** [Ale](https://apify.com/santamaria-automations) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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 ## eBay Sold Listings Scraper Scrape completed eBay sales for real transaction prices. For every query, the actor produces a summary record with avg price, median price, P10/P90 bands, and a recommended sell price. No post-processing needed. Built for sellers, resellers, and pricing teams who need to answer one question quickly: what does this item actually sell for? --- ### What It Does - Scrapes sold and completed listings from any eBay marketplace - Outputs a per-query analytics record: avg, median, P10, P90, and recommended price - Filters to items sold within a configurable window (up to 90 days) - Accepts keyword queries and direct eBay sold-search URLs - Captures condition, shipping cost, best-offer flag, and sale date per listing - Runs multiple queries in one actor invocation --- ### Sample Output ```json [ { "recordType": "listing", "itemId": "325871204933", "title": "Vintage Rolex Oyster Perpetual Date Ref 1500 Steel 34mm Automatic Watch", "url": "https://www.ebay.com/itm/325871204933", "marketplace": "ebay.com", "soldPrice": 3850.00, "currency": "USD", "condition": "Pre-Owned", "soldDate": "2026-06-01T14:22:00.000Z", "shippingCost": 0.00, "freeShipping": true, "isBestOfferAccepted": false, "imageUrl": "https://i.ebayimg.com/images/g/abc123/s-l500.jpg", "searchQuery": "vintage rolex", "scrapedAt": "2026-06-13T09:15:00.000Z" }, { "recordType": "analytics", "searchQuery": "vintage rolex", "marketplace": "ebay.com", "totalSalesFound": 94, "avgSoldPrice": 4812.50, "medianSoldPrice": 4650.00, "recommendedPrice": 4417.50, "priceLow": 1200.00, "priceHigh": 9800.00, "p10Price": 2100.00, "p90Price": 7400.00, "currency": "USD", "daysAnalyzed": 30, "scrapedAt": "2026-06-13T09:15:44.000Z" } ] ```` The dataset mixes `recordType: "listing"` rows with one `recordType: "analytics"` row per query at the end. *** ### Pricing **$0.001 per actor start + $0.003 per listing record. About $3 per 1,000 listings.** Analytics summary records aren't charged. You only pay for the listing rows. **New to Apify?** Every account gets a $5 free monthly platform credit, enough for around 1,600 listing results on this actor before you commit to paying anything. Test extensively first. *** ### Input | Field | Type | Default | Description | |---|---|---|---| | `searchQueries` | array of strings | — | Search terms. Each term produces its own result set and analytics record. | | `startUrls` | array of `{url}` | — | Direct eBay sold-search URLs. Useful with pre-filtered category or condition constraints. | | `marketplace` | string | `"ebay.com"` | eBay domain to scrape. See Supported Marketplaces below. | | `maxResults` | integer | `100` | Maximum listing records per query. | | `soldWithinDays` | integer | `30` | Only include items sold within this many days. Maximum is 90 (eBay's historical limit). | | `condition` | array of strings | — | Filter by condition: `"new"`, `"used"`, `"refurbished"`, `"open_box"`, `"for_parts"`. | | `sortBy` | string | `"best_match"` | Sort order for results. | | `minPrice` | float | — | Minimum sold price filter. | | `maxPrice` | float | — | Maximum sold price filter. | | `categoryId` | string | — | eBay category ID to narrow results (e.g. `"9355"` for Cell Phones). | | `includeAnalytics` | boolean | `true` | Appends one `recordType: "analytics"` record per query after its listings. | | `concurrency` | integer | `5` | Parallel workers. Advanced: lower this for more conservative throughput. | At least one of `searchQueries` or `startUrls` is required. #### Example Input ```json { "searchQueries": ["vintage rolex", "rolex submariner 16610"], "marketplace": "ebay.com", "maxResults": 100, "soldWithinDays": 30, "includeAnalytics": true } ``` *** ### Output Fields #### Listing record fields | Field | Type | Description | |---|---|---| | `recordType` | string | Always `"listing"`. | | `itemId` | string | eBay item ID. | | `title` | string | Full listing title. | | `url` | string | Canonical eBay listing URL. | | `marketplace` | string | eBay domain the listing was found on. | | `soldPrice` | number | Final sold price. | | `currency` | string | ISO 4217 currency code (e.g. `USD`, `GBP`, `EUR`). | | `condition` | string | Condition label as listed (e.g. `Pre-Owned`, `New`). | | `soldDate` | string | ISO 8601 timestamp of when the item sold. | | `shippingCost` | number | Stated shipping cost. `0` when free. | | `freeShipping` | boolean | `true` if the seller offered free shipping. | | `isBestOfferAccepted` | boolean | `true` if the final price was the result of a Best Offer. | | `imageUrl` | string | Primary listing image URL. | | `searchQuery` | string | The query or URL that produced this result. | | `scrapedAt` | string | ISO 8601 timestamp of when this record was collected. | #### Analytics record fields | Field | Type | Description | |---|---|---| | `recordType` | string | Always `"analytics"`. | | `searchQuery` | string | The query this summary covers. | | `marketplace` | string | eBay domain. | | `totalSalesFound` | integer | Number of sold listings analysed. | | `avgSoldPrice` | number | Arithmetic mean of all sold prices. | | `medianSoldPrice` | number | Median sold price (50th percentile). | | `recommendedPrice` | number | Suggested list price: 95% of median, giving a competitive edge over recent comps. | | `priceLow` | number | Lowest sold price in the result set. | | `priceHigh` | number | Highest sold price in the result set. | | `p10Price` | number | 10th percentile price (bottom 10% of sales). | | `p90Price` | number | 90th percentile price (top 10% of sales). | | `currency` | string | ISO 4217 currency code. | | `daysAnalyzed` | integer | The `soldWithinDays` window used for this run. | | `scrapedAt` | string | ISO 8601 timestamp. | *** ### Use with AI Agents (MCP) Connect this actor to any MCP-compatible AI client: Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or custom agents. **Apify MCP server URL:** `https://mcp.apify.com?tools=santamaria-automations/ebay-sold-scraper` **Example prompt once connected:** > "Use `ebay-sold-scraper` to analyse the last 30 days of 'vintage rolex' sales on ebay.com. Show me the median price, recommended selling price, and P10/P90 range." Clients that support dynamic tool discovery (Claude.ai, VS Code) will receive the full input schema automatically. *** ### Why This Scraper Built-in price analytics means you don't need to export to a spreadsheet to get avg and median. The `recommendedPrice` field (95% of median) gives you a competitive anchor price in the response. HTTP-only, 128MB RAM, no browser overhead. *** ### Common Use Cases - **Reseller pricing**: Anchor your list price on real sold comps, not wishful asking prices - **Inventory valuation**: Bulk-query a catalogue of SKUs and pull the median sold price for each - **Trend analysis**: Schedule recurring runs and store the analytics records to track how median price shifts week over week - **Arbitrage research**: Cross-reference `recommendedPrice` against supplier costs to surface margin-positive opportunities *** ### Supported Marketplaces | Value | Marketplace | |---|---| | `ebay.com` | United States (default) | | `ebay.co.uk` | United Kingdom | | `ebay.de` | Germany | | `ebay.fr` | France | | `ebay.it` | Italy | | `ebay.es` | Spain | | `ebay.com.au` | Australia | | `ebay.ca` | Canada | | `ebay.at` | Austria | | `ebay.nl` | Netherlands | *** ### Related Actors - [eBay Product Scraper](https://apify.com/santamaria-automations/ebay-scraper): Scrapes active (unsold) eBay listings. Use it alongside this actor to compare asking prices against what items actually sell for. *** ### Support For bugs, feature requests, or marketplaces not yet supported, open a ticket on the [Issues tab](https://apify.com/santamaria-automations/ebay-sold-scraper/issues). We typically respond within 24 hours. Contact: contact@nanoscrape.com # Actor input Schema ## `searchQueries` (type: `array`): Keywords to search on eBay sold listings (e.g. 'vintage rolex', 'iphone 15 pro'). Each keyword is scraped separately. ## `startUrls` (type: `array`): eBay search or category page URLs to scrape directly. Overrides searchQueries if both provided. ## `marketplace` (type: `string`): Which eBay regional site to scrape sold listings from. Each marketplace returns prices in the local currency. ## `maxResults` (type: `integer`): Maximum total sold listings to return across all queries. ## `soldWithinDays` (type: `integer`): Only include listings sold within this many days. eBay allows up to 90 days of history. ## `condition` (type: `array`): Filter by item condition. Leave empty for all. ## `sortBy` (type: `string`): Sort order for sold results. ## `minPrice` (type: `number`): Minimum sold price filter. ## `maxPrice` (type: `number`): Maximum sold price filter. ## `categoryId` (type: `string`): eBay category ID to narrow results (e.g. '9355' for Cell Phones). Leave empty to search all categories. ## `includeAnalytics` (type: `boolean`): Adds a summary record per query with avg price, median price, recommended price, and price range statistics. Distinguishable by recordType='analytics'. ## `concurrency` (type: `integer`): Number of parallel requests. Increase for faster scraping of many queries. ## Actor input object example ```json { "searchQueries": [ "vintage camera" ], "marketplace": "ebay.com", "maxResults": 100, "soldWithinDays": 30, "sortBy": "best_match", "includeAnalytics": true, "concurrency": 5 } ``` # Actor output Schema ## `results` (type: `string`): Dataset of scraped sold listings plus per-query analytics summaries. Listing rows contain soldPrice, soldDate, condition, and shippingCost. Analytics rows contain avgSoldPrice, medianSoldPrice, recommendedPrice, p10Price, and p90Price. # 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 camera" ], "maxResults": 100, "soldWithinDays": 30, "concurrency": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("santamaria-automations/ebay-sold-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 camera"], "maxResults": 100, "soldWithinDays": 30, "concurrency": 5, } # Run the Actor and wait for it to finish run = client.actor("santamaria-automations/ebay-sold-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 camera" ], "maxResults": 100, "soldWithinDays": 30, "concurrency": 5 }' | apify call santamaria-automations/ebay-sold-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=santamaria-automations/ebay-sold-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "eBay Sold Scraper · Price Analytics", "description": "Scrape eBay sold listings for real transaction prices. Filter by date range and condition. Returns avg, median, and recommended price analytics per query. Supports 8 eBay marketplaces.", "version": "1.0", "x-build-id": "bw2BBcBlUaGRiqxrL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/santamaria-automations~ebay-sold-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-santamaria-automations-ebay-sold-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/santamaria-automations~ebay-sold-scraper/runs": { "post": { "operationId": "runs-sync-santamaria-automations-ebay-sold-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/santamaria-automations~ebay-sold-scraper/run-sync": { "post": { "operationId": "run-sync-santamaria-automations-ebay-sold-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 Keywords", "type": "array", "description": "Keywords to search on eBay sold listings (e.g. 'vintage rolex', 'iphone 15 pro'). Each keyword is scraped separately.", "items": { "type": "string" } }, "startUrls": { "title": "Start URLs", "type": "array", "description": "eBay search or category page URLs to scrape directly. Overrides searchQueries if both provided.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "marketplace": { "title": "eBay Marketplace", "enum": [ "ebay.com", "ebay.co.uk", "ebay.de", "ebay.fr", "ebay.it", "ebay.es", "ebay.ca", "ebay.com.au" ], "type": "string", "description": "Which eBay regional site to scrape sold listings from. Each marketplace returns prices in the local currency.", "default": "ebay.com" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum total sold listings to return across all queries.", "default": 100 }, "soldWithinDays": { "title": "Sold Within Days", "minimum": 1, "maximum": 90, "type": "integer", "description": "Only include listings sold within this many days. eBay allows up to 90 days of history.", "default": 30 }, "condition": { "title": "Condition Filter", "type": "array", "description": "Filter by item condition. Leave empty for all.", "items": { "type": "string", "enum": [ "new", "open_box", "refurbished", "used", "for_parts" ], "enumTitles": [ "New", "Open Box", "Certified Refurbished", "Used", "For Parts / Not Working" ] } }, "sortBy": { "title": "Sort By", "enum": [ "best_match", "ending_soonest", "newly_listed", "price_low", "price_high" ], "type": "string", "description": "Sort order for sold results.", "default": "best_match" }, "minPrice": { "title": "Min Price (USD)", "type": "number", "description": "Minimum sold price filter." }, "maxPrice": { "title": "Max Price (USD)", "type": "number", "description": "Maximum sold price filter." }, "categoryId": { "title": "Category ID", "type": "string", "description": "eBay category ID to narrow results (e.g. '9355' for Cell Phones). Leave empty to search all categories." }, "includeAnalytics": { "title": "Include Price Analytics", "type": "boolean", "description": "Adds a summary record per query with avg price, median price, recommended price, and price range statistics. Distinguishable by recordType='analytics'.", "default": true }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "Number of parallel requests. Increase for faster scraping of many queries.", "default": 5 } } }, "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 } } } } } } } } } } ```