# Newegg Scraper - Electronics Product Search & Prices (`lulzasaur/newegg-scraper`) Actor Scrape Newegg product listings. Get titles, prices, ratings, reviews, seller info, specs. Search any product category. Fast, structured JSON output. - **URL**: https://apify.com/lulzasaur/newegg-scraper.md - **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 ## Newegg Scraper Scrape product listings from Newegg.com, the popular electronics marketplace. Extract titles, prices, ratings, reviews, seller info, specs, and more from any search query or category. ### Features - **Search any product** - GPUs, laptops, keyboards, monitors, etc. - **Category browsing** - Scrape entire Newegg categories by URL - **Rich data** - Prices, original prices, ratings, review counts, brand, seller, stock status, shipping, specs - **Sort options** - Relevance, price (low/high), best selling, best rating, most reviews - **Price filtering** - Set min/max price range - **High volume** - ~36 products per page, up to 5000 results per run - **Fast** - Uses HTTP requests (no browser), typically completes in seconds ### Output Fields | Field | Type | Description | |-------|------|-------------| | title | string | Product title | | price | number | Current/final price | | originalPrice | number | Original price before discount | | savings | number | Amount saved (originalPrice - price) | | rating | number | Review rating (0-5, one decimal) | | reviewCount | number | Number of reviews | | brand | string | Manufacturer/brand name | | seller | string | Third-party seller name (null if sold by Newegg) | | itemNumber | string | Newegg item number | | inStock | boolean | Whether the product is in stock | | isNew | boolean | Whether the product is new | | isRefurbished | boolean | Whether the product is refurbished | | shippingCost | number | Shipping charge | | freeShipping | boolean | Whether shipping is free | | shipByNewegg | boolean | Whether shipped by Newegg | | category | string | Product subcategory | | imageUrl | string | Product image URL | | url | string | Direct link to product page | | bulletPoints | array | Key specs as bullet points | | promotion | string | Active promotion text | | scrapedAt | string | ISO timestamp of when data was collected | ### Example Input ```json { "query": "rtx 5090", "maxResults": 200, "sortBy": "price_low" } ```` ### Example Output ```json { "title": "GIGABYTE Gaming GeForce RTX 5090 Graphics Card", "price": 3699.99, "originalPrice": 3899.99, "savings": 200, "rating": 4.3, "reviewCount": 128, "brand": "GIGABYTE", "seller": null, "itemNumber": "14-932-761", "inStock": true, "isNew": true, "isRefurbished": false, "shippingCost": 0, "freeShipping": true, "shipByNewegg": true, "category": "GPUs / Video Graphics Cards", "imageUrl": "https://c1.neweggimages.com/ProductImageCompressAll300/14-932-761-19.jpg", "url": "https://www.newegg.com/p/14-932-761", "bulletPoints": ["32GB 512-Bit GDDR7", "Core Clock 2550 MHz", "1 x HDMI 2.1b 3 x DisplayPort 2.1b"], "promotion": "Get PRAGMATA with selected purchase", "scrapedAt": "2026-04-25T12:00:00.000Z" } ``` ### Cost This actor uses pay-per-event pricing. You are charged per result pushed to the dataset via the standard `apify-default-dataset-item` event. # Actor input Schema ## `query` (type: `string`): Search term to look up on Newegg (e.g. 'laptop', 'rtx 5090', 'mechanical keyboard') ## `category` (type: `string`): Optional: Direct Newegg category URL to scrape instead of search (e.g. 'https://www.newegg.com/p/pl?N=100167732' for laptops). Overrides query if provided. ## `maxResults` (type: `integer`): Maximum number of products to scrape (each page has ~36 products) ## `minPrice` (type: `number`): Filter: only return products at or above this price ## `maxPrice` (type: `number`): Filter: only return products at or below this price ## `sortBy` (type: `string`): How to sort search results ## `proxyConfiguration` (type: `object`): Proxy settings. Newegg usually works without proxies. ## Actor input object example ```json { "query": "laptop", "maxResults": 100, "sortBy": "relevance", "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "query": "laptop" }; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/newegg-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 = { "query": "laptop" } # Run the Actor and wait for it to finish run = client.actor("lulzasaur/newegg-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 '{ "query": "laptop" }' | apify call lulzasaur/newegg-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/newegg-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Newegg Scraper - Electronics Product Search & Prices", "description": "Scrape Newegg product listings. Get titles, prices, ratings, reviews, seller info, specs. Search any product category. Fast, structured JSON output.", "version": "1.0", "x-build-id": "FmHLGqxhKXd5Onxic" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~newegg-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-newegg-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~newegg-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-newegg-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~newegg-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-newegg-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "query": { "title": "Search Query", "type": "string", "description": "Search term to look up on Newegg (e.g. 'laptop', 'rtx 5090', 'mechanical keyboard')", "default": "laptop" }, "category": { "title": "Category URL", "type": "string", "description": "Optional: Direct Newegg category URL to scrape instead of search (e.g. 'https://www.newegg.com/p/pl?N=100167732' for laptops). Overrides query if provided." }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of products to scrape (each page has ~36 products)", "default": 100 }, "minPrice": { "title": "Minimum Price", "minimum": 0, "type": "number", "description": "Filter: only return products at or above this price" }, "maxPrice": { "title": "Maximum Price", "minimum": 0, "type": "number", "description": "Filter: only return products at or below this price" }, "sortBy": { "title": "Sort By", "enum": [ "relevance", "price_low", "price_high", "best_selling", "best_rating", "most_reviews" ], "type": "string", "description": "How to sort search results", "default": "relevance" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Newegg usually works without proxies.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```