# eBay Sold Listings Scraper - Price Research & Analytics (`scrapeworks/ebay-sold-price-analytics`) Actor Scrape eBay SOLD & completed listings in bulk and get instant price analytics - average, median, min and max sold price per keyword - plus every sold comp (title, sold price, sold date, condition, seller) as clean JSON. No eBay API key or login required. - **URL**: https://apify.com/scrapeworks/ebay-sold-price-analytics.md - **Developed by:** [Nicolas van Arkens](https://apify.com/scrapeworks) (community) - **Categories:** E-commerce, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 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 — Price Research & Analytics **Find out what anything actually sells for on eBay.** Give this actor one or more keywords (or eBay search URLs) and it scrapes eBay's **SOLD & completed** listings in bulk, then returns both the raw sold comps **and** a ready-made price-analytics summary for each keyword: how many sold, the **average, median, minimum and maximum sold price**, the currency, the date range, and a breakdown by condition and buying format. No eBay API key, developer account, or login required — you just type keywords. > Built for resellers, flippers, eBay sellers, dropshippers, estate sellers, repair > shops and collectors who need real, recent **sold-price** data — not asking prices. --- ### What you get **Per keyword, one `summary` row** (the analytics): | field | meaning | |---|---| | `searchTerm` | the keyword (or URL keyword) researched | | `soldCount` | how many sold listings were sampled | | `pricedCount` | how many had a usable numeric sold price | | `currency` | dominant currency of the sample (e.g. `$`) | | `avgSoldPrice` | average sold price | | `medianSoldPrice` | median sold price (the most robust "going rate") | | `minSoldPrice` / `maxSoldPrice` | cheapest / dearest sold | | `stdDevSoldPrice` | price spread (how consistent the market is) | | `earliestSoldDate` / `latestSoldDate` | date range of the sample (ISO `YYYY-MM-DD`) | | `conditionBreakdown` | counts by condition (New / Used / Refurbished / …) | | `formatBreakdown` | counts by buying format (Buy It Now / Auction) | **Plus, for every sold listing, one `listing` row** (turn off with `includeListingRows: false` if you only want the summary): | field | meaning | |---|---| | `title` | listing title | | `soldPrice` / `currency` | the price it sold for | | `soldDate` | when it sold (ISO `YYYY-MM-DD`) — plus `soldDateText` | | `condition` | item condition | | `buyingFormat` / `bids` | Buy It Now or Auction (with bid count) | | `seller` / `sellerFeedback` | seller and feedback % | | `url` | direct link to the sold listing | | `image` | thumbnail URL | --- ### Input ```json { "searchTerms": ["nintendo switch oled", "apple airpods pro 2"], "domain": "ebay.com", "maxResultsPerQuery": 200, "conditionFilter": "any", "buyingFormat": "any", "includeListingRows": true, "proxyConfiguration": { "useApifyProxy": true } } ```` - **`searchTerms`** — a **list** of products to research. Each is searched separately against SOLD listings and summarised on its own. Pass as many as you like in one run. - **`directUrls`** — optional: paste full eBay `/sch/i.html?...` URLs (your own category / price-range / filter links). The actor **auto-forces the SOLD filter** on every URL, then paginates and summarises it. - **`domain`** — which eBay marketplace (US, UK, DE, AU, CA, FR, IT, ES, NL, IE, IN). - **`maxResultsPerQuery`** — how many sold listings to sample per keyword before computing the stats (deep pagination, up to 240/page). 200–500 gives a solid sample. - **`conditionFilter`** — restrict comps to New / Used / Open box / Refurbished. - **`buyingFormat`** — restrict to Buy It Now or Auction sales. - **`includeListingRows`** — keep the individual sold rows (default) or return only the summary. #### Output sample (summary row) ```json { "rowType": "summary", "searchTerm": "nintendo switch oled", "domain": "ebay.com", "soldCount": 200, "pricedCount": 196, "currency": "$", "avgSoldPrice": 248.51, "medianSoldPrice": 245.0, "minSoldPrice": 180.0, "maxSoldPrice": 340.0, "stdDevSoldPrice": 27.84, "earliestSoldDate": "2026-05-02", "latestSoldDate": "2026-06-14", "conditionBreakdown": { "Brand New": 88, "Pre-Owned": 104, "Unknown": 8 }, "formatBreakdown": { "Buy It Now": 171, "Unknown": 29 } } ``` #### Output sample (listing row) ```json { "rowType": "listing", "listingId": "126512345678", "title": "Nintendo Switch OLED Model White Console - Excellent", "url": "https://www.ebay.com/itm/126512345678", "condition": "Pre-Owned", "soldPrice": 245.0, "soldPriceText": "$245.00", "currency": "$", "soldDate": "2026-06-12", "soldDateText": "Sold Jun 12, 2026", "buyingFormat": "Buy It Now", "seller": "gametraders_us", "sellerFeedback": "99.4% positive", "image": "https://i.ebayimg.com/images/g/abcAAOSw.../s-l500.jpg" } ``` *** ### Use cases - **Price your listing right** — sell faster by matching the real median sold price. - **Sourcing & arbitrage** — check resale value before you buy at a thrift store, estate sale, auction, or wholesale lot. - **Comps for buying** — know the fair market price before you bid. - **Trend tracking** — run the same keywords on a schedule and watch the median move. ### FAQ **Is this asking prices or actual sold prices?** Actual **sold** prices — the actor only reads eBay's SOLD & completed listings (`LH_Sold=1&LH_Complete=1`). **Do I need an eBay API key or developer account?** No. It reads eBay's public sold-listings pages, so there is nothing to authorise. **How far back does it go?** eBay publicly shows roughly the last few hundred sold items per search; `maxResultsPerQuery` controls how many of those you sample. **Why is a proxy recommended?** eBay blocks datacenter traffic. The actor defaults to Apify Proxy; **RESIDENTIAL** proxy is strongly recommended for reliable, complete results. **Which marketplaces are supported?** ebay.com, .co.uk, .de, .com.au, .ca, .fr, .it, .es, .nl, .ie and .in. Prices come back in that marketplace's local currency. # Actor input Schema ## `searchTerms` (type: `array`): One or more products/phrases to research on eBay (e.g. 'nintendo switch oled', 'vintage omega seamaster'). Each term is searched against SOLD & completed listings only, paginated deep up to 'Max sold listings per query', and summarised into price analytics. Add as many keywords as you like in a single run. ## `directUrls` (type: `array`): Optional: paste full eBay search-results URLs (an /sch/i.html?... link with your own category / price range / filters already applied). The actor automatically forces the SOLD + completed filter on every URL, then paginates and summarises it just like a keyword. Use this when you want eBay's own advanced filters. ## `domain` (type: `string`): Which eBay site to research. Sold prices are returned in that site's local currency. Most-used is ebay.com (US). ## `maxResultsPerQuery` (type: `integer`): Maximum SOLD listings to sample for EACH keyword/URL before computing analytics. The actor paginates automatically (up to 240 listings per page). eBay shows roughly the last few hundred sold items per search; 200-500 gives a solid price sample. ## `conditionFilter` (type: `string`): Only analyse sold listings of this condition (e.g. 'New' for sealed comps, 'Used' for second-hand value). 'Any' returns everything. ## `buyingFormat` (type: `string`): Restrict the sold comps to a buying format. 'Any' includes both fixed-price and auction sales. ## `includeListingRows` (type: `boolean`): If on (default), every sold listing is returned as its own row (title, sold price, sold date, condition, seller, link) alongside the per-query analytics summary row. Turn off to return ONLY the analytics summary row for each keyword. ## `proxyConfiguration` (type: `object`): Proxy used to reach eBay. eBay blocks datacenter traffic, so RESIDENTIAL Apify Proxy is strongly recommended for reliable results. Defaults to Apify Proxy. ## Actor input object example ```json { "searchTerms": [ "nintendo switch oled" ], "domain": "ebay.com", "maxResultsPerQuery": 200, "conditionFilter": "any", "buyingFormat": "any", "includeListingRows": true, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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 = { "searchTerms": [ "nintendo switch oled" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("scrapeworks/ebay-sold-price-analytics").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 = { "searchTerms": ["nintendo switch oled"], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("scrapeworks/ebay-sold-price-analytics").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 '{ "searchTerms": [ "nintendo switch oled" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call scrapeworks/ebay-sold-price-analytics --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapeworks/ebay-sold-price-analytics", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "eBay Sold Listings Scraper - Price Research & Analytics", "description": "Scrape eBay SOLD & completed listings in bulk and get instant price analytics - average, median, min and max sold price per keyword - plus every sold comp (title, sold price, sold date, condition, seller) as clean JSON. No eBay API key or login required.", "version": "0.1", "x-build-id": "ZpCtm3NHzR8j6bYvH" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapeworks~ebay-sold-price-analytics/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapeworks-ebay-sold-price-analytics", "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/scrapeworks~ebay-sold-price-analytics/runs": { "post": { "operationId": "runs-sync-scrapeworks-ebay-sold-price-analytics", "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/scrapeworks~ebay-sold-price-analytics/run-sync": { "post": { "operationId": "run-sync-scrapeworks-ebay-sold-price-analytics", "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": { "searchTerms": { "title": "Search keywords", "uniqueItems": true, "type": "array", "description": "One or more products/phrases to research on eBay (e.g. 'nintendo switch oled', 'vintage omega seamaster'). Each term is searched against SOLD & completed listings only, paginated deep up to 'Max sold listings per query', and summarised into price analytics. Add as many keywords as you like in a single run.", "items": { "type": "string" } }, "directUrls": { "title": "eBay search URLs (optional, power users)", "uniqueItems": true, "type": "array", "description": "Optional: paste full eBay search-results URLs (an /sch/i.html?... link with your own category / price range / filters already applied). The actor automatically forces the SOLD + completed filter on every URL, then paginates and summarises it just like a keyword. Use this when you want eBay's own advanced filters.", "items": { "type": "string" } }, "domain": { "title": "eBay marketplace", "enum": [ "ebay.com", "ebay.co.uk", "ebay.de", "ebay.com.au", "ebay.ca", "ebay.fr", "ebay.it", "ebay.es", "ebay.nl", "ebay.ie", "ebay.in" ], "type": "string", "description": "Which eBay site to research. Sold prices are returned in that site's local currency. Most-used is ebay.com (US).", "default": "ebay.com" }, "maxResultsPerQuery": { "title": "Max sold listings per query", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum SOLD listings to sample for EACH keyword/URL before computing analytics. The actor paginates automatically (up to 240 listings per page). eBay shows roughly the last few hundred sold items per search; 200-500 gives a solid price sample.", "default": 200 }, "conditionFilter": { "title": "Item condition", "enum": [ "any", "new", "used", "open_box", "refurbished" ], "type": "string", "description": "Only analyse sold listings of this condition (e.g. 'New' for sealed comps, 'Used' for second-hand value). 'Any' returns everything.", "default": "any" }, "buyingFormat": { "title": "Buying format", "enum": [ "any", "buy_it_now", "auction" ], "type": "string", "description": "Restrict the sold comps to a buying format. 'Any' includes both fixed-price and auction sales.", "default": "any" }, "includeListingRows": { "title": "Include individual sold-listing rows", "type": "boolean", "description": "If on (default), every sold listing is returned as its own row (title, sold price, sold date, condition, seller, link) alongside the per-query analytics summary row. Turn off to return ONLY the analytics summary row for each keyword.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy used to reach eBay. eBay blocks datacenter traffic, so RESIDENTIAL Apify Proxy is strongly recommended for reliable results. Defaults to Apify Proxy.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```