# Newegg Product Scraper (Cheap) (`data_api/newegg-product-scraper-cheap`) Actor Newegg Products Scraper that extracts prices, ratings, availability, and specs from search results and product pages so price trackers, resellers, and market researchers get clean structured data without writing custom scripts. - **URL**: https://apify.com/data\_api/newegg-product-scraper-cheap.md - **Developed by:** [Data API](https://apify.com/data_api) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.99 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Product Scraper ![Newegg Product Scraper](cover.jpg) Pricing on Newegg moves fast, and checking it by hand does not scale. This scraper turns a search term, a category link, or a stack of product URLs into clean rows of structured data: item name, current price, list price and discount, star rating, review count, stock status, seller, shipping, and the full specs table. Pagination is handled for you, so one keyword can pull hundreds of products in a single run. Feed it one product or thousands. ### What you get Every product comes back as one row with a steady set of columns, so results drop straight into a sheet or database without reshaping. The fields fall into a few groups: - **Identity** — `sku`, `modelId`, `itemName`, `brandName`, `itemUrl`, `imageLink` - **Pricing** — `currentPrice`, `listPrice`, `discountRate`, `altPriceLow`, `altPriceHigh` - **Reputation and stock** — `starRating`, `reviewsTotal`, `stockStatus`, `sellerName`, `shippingInfo` - **Detail** — `categoryPath`, `specifications`, `collectedAt` ### Quick start 1. Click **Try for free** and open the input form. 2. Add what you want to scrape: type one or more **Search terms**, paste a **Category link**, or drop **Product URLs** into the list (any mix works). 3. Set a **Results limit** and **Page limit** to control how much the run pulls. 4. Press **Start**, then export the data as JSON, CSV, Excel, or XML once it finishes. ![How it works](how-it-works.jpg) ### Use cases - **Price tracking** — watch GPU, CPU, and SSD prices day to day and catch markdowns early - **Competitor pricing** — see how rival sellers price and position comparable parts - **Restock alerts** — spot the moment an out-of-stock item comes back - **Keyword research** — pull titles and brands from the top Newegg search results - **Brand and category benchmarking** — compare ratings and review counts across makers - **Resale sourcing** — surface underpriced products worth flipping ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `searchTerms` | array of strings | One of `searchTerms`, `categoryLink`, or `targetUrls` | Words or phrases to look up on Newegg. Each term runs as its own search. Example: `["NVMe SSD 2TB", "850W PSU"]`. | | `categoryLink` | string | Optional | A Newegg category or browse URL to walk through, copied from the address bar. | | `targetUrls` | array of strings | Optional | Specific Newegg product page URLs to read, useful for the deeper detail fields. | | `resultsLimit` | integer | No | Stop after this many products in one run. Default `50`. | | `pageLimit` | integer | No | How many result pages to follow per input. Default `3`. | | `timeoutSeconds` | integer | No | Seconds to wait on each request before giving up. Default `45`. | #### Example input ```json { "searchTerms": ["NVMe SSD 2TB", "850W PSU"], "categoryLink": "https://www.newegg.com/Solid-State-Drives/SubCategory/ID-636", "targetUrls": ["https://www.newegg.com/p/pl?d=motherboard"], "resultsLimit": 50, "pageLimit": 3, "timeoutSeconds": 45 } ```` ### Output Results are written to the dataset as they arrive, so partial data is kept even if a run stops early. Each record is one product. #### Example output ```json { "sku": "N82E16820147674", "modelId": "MZ-V8P2T0B/AM", "itemName": "SAMSUNG 990 PRO 2TB PCIe Gen4 NVMe M.2 Internal SSD", "brandName": "SAMSUNG", "itemUrl": "https://www.newegg.com/p/N82E16820147674", "imageLink": "https://c1.neweggimages.com/ProductImageCompressAll1280/20-147-674-V01.jpg", "currentPrice": 169.99, "listPrice": 209.99, "discountRate": 19.0, "altPriceLow": 164.99, "altPriceHigh": 189.99, "starRating": 4.8, "reviewsTotal": 2417, "stockStatus": "In Stock", "sellerName": "Newegg", "shippingInfo": "Free Shipping", "categoryPath": "Computer Hardware > Hard Drives & Storage > Internal SSDs", "specifications": { "Capacity": "2TB", "Interface": "PCIe Gen4 x4", "Form Factor": "M.2 2280", "Sequential Read": "7450 MB/s" }, "collectedAt": "2026-06-29T09:15:00Z" } ``` #### Output fields | Field | Type | Description | |-------|------|-------------| | `sku` | string | Newegg's own item number for the product | | `modelId` | string | Maker's model number, e.g. MZ-V8P2T0B/AM | | `itemName` | string | Complete product name shown on the listing | | `brandName` | string | Maker or brand the product belongs to | | `itemUrl` | string | Direct link to the product page | | `imageLink` | string | Address of the main product photo | | `currentPrice` | number | Price you pay right now, in USD | | `listPrice` | number | Price shown before any markdown | | `discountRate` | number | How far the price dropped from list, as a percentage | | `altPriceLow` | number | Cheapest option among other sellers or configurations | | `altPriceHigh` | number | Priciest option among other sellers or configurations | | `starRating` | number | Mean customer score on a 0 to 5 scale | | `reviewsTotal` | integer | Count of customer reviews | | `stockStatus` | string | Availability, e.g. In Stock or OUT OF STOCK | | `sellerName` | string | Newegg or a marketplace seller | | `shippingInfo` | string | Shipping charge, or Free Shipping | | `categoryPath` | string | Breadcrumb trail of categories from the product page | | `specifications` | object | Technical detail from the product's specs section | | `collectedAt` | string | ISO 8601 UTC timestamp of when the row was captured | ### Tips for best results - **Start small.** Run one search term with a low `resultsLimit` first to confirm the output fits your pipeline, then scale up. - **Use product URLs for depth.** Search and category pages cover the basics; pass `targetUrls` when you need the specs table, item number, and seller. - **Tune `pageLimit` to match the catalog.** A broad keyword spans many pages, so raise it when you want everything; lower it for a quick sample. - **Raise `timeoutSeconds`** to around 60 if you see timeout errors on a slow connection. - **Partial results are safe.** Rows are saved as they come in, so a stopped run still leaves you the products it already collected. ### How can I use Newegg product data? **How can I use the Newegg Product Scraper to track prices over time?** Schedule a run with your `searchTerms` or a `categoryLink` and keep the dataset. Each row carries `currentPrice`, `listPrice`, and `discountRate` with a `collectedAt` timestamp, so comparing snapshots over days or weeks shows you exactly when a part dropped in price. **How can I pull Newegg specs and ratings for product research?** Pass the product pages you care about as `targetUrls`. The scraper returns the `specifications` object alongside `starRating`, `reviewsTotal`, and `brandName`, giving you a structured table to compare components on capacity, interface, clock speed, or whatever spec matters for your build. **How can I export Newegg search results to a spreadsheet?** Type your keywords into `searchTerms`, run the scraper, and download the dataset as CSV or Excel. Every matching product becomes a row with name, price, stock, and link, ready to sort and filter without copying anything by hand. **How can I monitor Newegg stock and restocks?** Run the scraper on the items you follow and read the `stockStatus` field. Re-run it on a schedule to catch the moment something flips from OUT OF STOCK back to In Stock, then act before it sells out again. ### Is it legal to scrape data? Our actors are ethical and do not extract any private user data, such as email addresses or private contact information. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe. However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers. You can also read Apify's blog post on the [legality of web scraping](https://blog.apify.com/is-web-scraping-legal/). ### Support Questions, feature requests, or a field you'd like added? Reach out at and we'll get back to you. # Actor input Schema ## `searchTerms` (type: `array`): Words or phrases to look up on Newegg, such as "DDR5 32GB" or "NVMe SSD 2TB". Every term runs as its own separate search. ## `categoryLink` (type: `string`): A Newegg category or browse URL to walk through. Paste the link straight from your browser's address bar after picking a category. ## `targetUrls` (type: `array`): Specific Newegg product pages to read. Reach for this when you want the deeper detail fields like the specs table, seller, and item number. ## `resultsLimit` (type: `integer`): Stop after this many products in a single run. ## `pageLimit` (type: `integer`): How many search or category result pages to walk through for each input. ## `timeoutSeconds` (type: `integer`): How long to wait on each request before giving up. Bump this up if slow connections cause timeout errors. ## Actor input object example ```json { "searchTerms": [ "NVMe SSD 2TB", "850W PSU" ], "categoryLink": "https://www.newegg.com/Solid-State-Drives/SubCategory/ID-636", "targetUrls": [ "https://www.newegg.com/p/pl?d=motherboard" ], "resultsLimit": 30, "pageLimit": 3, "timeoutSeconds": 45 } ``` # 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": [ "DDR5 32GB" ], "categoryLink": "", "targetUrls": [] }; // Run the Actor and wait for it to finish const run = await client.actor("data_api/newegg-product-scraper-cheap").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": ["DDR5 32GB"], "categoryLink": "", "targetUrls": [], } # Run the Actor and wait for it to finish run = client.actor("data_api/newegg-product-scraper-cheap").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": [ "DDR5 32GB" ], "categoryLink": "", "targetUrls": [] }' | apify call data_api/newegg-product-scraper-cheap --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=data_api/newegg-product-scraper-cheap", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Newegg Product Scraper (Cheap)", "description": "Newegg Products Scraper that extracts prices, ratings, availability, and specs from search results and product pages so price trackers, resellers, and market researchers get clean structured data without writing custom scripts.", "version": "0.0", "x-build-id": "pdhG0PVfEEY6FAp7F" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/data_api~newegg-product-scraper-cheap/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-data_api-newegg-product-scraper-cheap", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/data_api~newegg-product-scraper-cheap/runs": { "post": { "operationId": "runs-sync-data_api-newegg-product-scraper-cheap", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/data_api~newegg-product-scraper-cheap/run-sync": { "post": { "operationId": "run-sync-data_api-newegg-product-scraper-cheap", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 terms", "type": "array", "description": "Words or phrases to look up on Newegg, such as \"DDR5 32GB\" or \"NVMe SSD 2TB\". Every term runs as its own separate search.", "items": { "type": "string" } }, "categoryLink": { "title": "Category link", "type": "string", "description": "A Newegg category or browse URL to walk through. Paste the link straight from your browser's address bar after picking a category." }, "targetUrls": { "title": "Product URLs", "type": "array", "description": "Specific Newegg product pages to read. Reach for this when you want the deeper detail fields like the specs table, seller, and item number.", "items": { "type": "string" } }, "resultsLimit": { "title": "Results limit", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Stop after this many products in a single run.", "default": 30 }, "pageLimit": { "title": "Page limit", "minimum": 1, "maximum": 50, "type": "integer", "description": "How many search or category result pages to walk through for each input.", "default": 3 }, "timeoutSeconds": { "title": "Timeout (seconds)", "minimum": 5, "maximum": 120, "type": "integer", "description": "How long to wait on each request before giving up. Bump this up if slow connections cause timeout errors.", "default": 45 } } }, "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 } } } } } } } } } } ```