# eBay Scraper - Products, Prices & Sold Listings (`swerve/ebay-scraper`) Actor Scrape eBay search results: title, price, condition, buying format, shipping, seller rating and image. Flip a switch for SOLD listings and real sold-price comps for reselling. No API key. Pay per result. - **URL**: https://apify.com/swerve/ebay-scraper.md - **Developed by:** [Swerve](https://apify.com/swerve) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 66.7% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Scraper - Products, Prices & Sold Listings Scrape **eBay** search results in bulk. Search any keyword and get every item with title, price, condition, buying format, shipping, seller rating and image. Flip one switch to get **sold listings** instead, for real sold-price comps. **No API key.** ### What you can do with it - Pull active listings for any keyword: price, condition, format, seller, image - Get **sold-price comps** for reselling, arbitrage and market research (real prices items actually sold for) - Track prices and inventory for a product over time - Feed listings and prices into your own app, spreadsheet or model ### Input | Field | What it does | Example | |-------|--------------|---------| | **Search keywords** | What to search for. | `laptop`, `nintendo switch oled`, `vintage rolex` | | **Sold listings (price comps)** | Return recently sold items with their sold price and date, instead of active listings. | on for comps | | **Condition** | Filter by New, Used or Refurbished. | Any | | **eBay search URLs** | Optional. Paste filtered eBay search URLs directly. | `https://www.ebay.com/sch/i.html?_nkw=drone` | ### Output One row per item: ```json { "itemId": "283987164379", "url": "https://www.ebay.com/itm/283987164379", "title": "Dell Latitude 3420 Business 14\" Laptop Intel Core i5 16GB RAM 256GB SSD", "price": 249.99, "currency": "USD", "condition": "Good - Refurbished", "buyingFormat": "Buy It Now", "shipping": "Free delivery", "sellerFeedbackPercent": 99.6, "soldInfo": "Jul 18, 2026", "sold": true, "image": "https://i.ebayimg.com/images/g/.../s-l500.jpg", "scrapedAt": "2026-07-18T14:00:00.000Z" } ```` Fill rates on the core fields (itemId, title, price, image, url) are ~100%. On sold searches, sold price and date are ~100%. ### How it works This actor reads eBay's own search-results pages through a US residential connection (used by default), so it returns clean items without a browser. It pages through each search automatically. For sold-price comps, turn on "Sold listings". ### Limits - Shipping and buying format are shown when eBay lists them on the card; some items omit them. - Sold listings cover eBay's recent sold history (the last ~90 days it exposes). - Very large searches are capped by eBay at a few thousand results per query; narrow the keyword or add filters for more depth. ### Pricing Pay per result. You only pay for the items you actually get. # Actor input Schema ## `searchTerms` (type: `array`): What to search for on eBay. Examples: laptop, nintendo switch, vintage rolex. Each keyword is searched and its items returned. ## `soldItems` (type: `boolean`): Return recently SOLD items instead of active listings, to see real sold prices for comps and reselling. Off returns active listings. ## `condition` (type: `string`): Filter by item condition. ## `startUrls` (type: `array`): Optional. Paste eBay search-results URLs directly (e.g. a filtered search). ## `maxItemsPerSearch` (type: `integer`): Cap items per keyword. Leave blank for all. ## `maxItems` (type: `integer`): Optional overall cap. Leave blank for everything. ## `proxyConfiguration` (type: `object`): eBay is scraped through a US residential proxy by default for reliability. Leave as is. ## Actor input object example ```json { "searchTerms": [ "laptop" ], "soldItems": false, "condition": "any", "startUrls": [], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountryCode": "US" } } ``` # 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": [ "laptop" ], "startUrls": [], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountryCode": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("swerve/ebay-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 = { "searchTerms": ["laptop"], "startUrls": [], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountryCode": "US", }, } # Run the Actor and wait for it to finish run = client.actor("swerve/ebay-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 '{ "searchTerms": [ "laptop" ], "startUrls": [], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountryCode": "US" } }' | apify call swerve/ebay-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=swerve/ebay-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "eBay Scraper - Products, Prices & Sold Listings", "description": "Scrape eBay search results: title, price, condition, buying format, shipping, seller rating and image. Flip a switch for SOLD listings and real sold-price comps for reselling. No API key. Pay per result.", "version": "0.1", "x-build-id": "tpe4tQgs1J7wON6Jz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/swerve~ebay-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-swerve-ebay-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/swerve~ebay-scraper/runs": { "post": { "operationId": "runs-sync-swerve-ebay-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/swerve~ebay-scraper/run-sync": { "post": { "operationId": "run-sync-swerve-ebay-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchTerms": { "title": "Search keywords", "type": "array", "description": "What to search for on eBay. Examples: laptop, nintendo switch, vintage rolex. Each keyword is searched and its items returned.", "items": { "type": "string" } }, "soldItems": { "title": "Sold listings (price comps)", "type": "boolean", "description": "Return recently SOLD items instead of active listings, to see real sold prices for comps and reselling. Off returns active listings.", "default": false }, "condition": { "title": "Condition", "enum": [ "any", "new", "used", "refurbished" ], "type": "string", "description": "Filter by item condition.", "default": "any" }, "startUrls": { "title": "eBay search URLs", "type": "array", "description": "Optional. Paste eBay search-results URLs directly (e.g. a filtered search).", "items": { "type": "string" } }, "maxItemsPerSearch": { "title": "Max items per search", "minimum": 1, "type": "integer", "description": "Cap items per keyword. Leave blank for all." }, "maxItems": { "title": "Max items in total", "minimum": 1, "type": "integer", "description": "Optional overall cap. Leave blank for everything." }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "eBay is scraped through a US residential proxy by default for reliability. Leave as is.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountryCode": "US" } } } }, "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 } } } } } } } } } } ```