Newegg Scraper

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Pull product data from Newegg at scale — titles, brands, item numbers, current and original prices, computed discounts, shipping, star ratings, review counts, sellers, and live stock status across the entire US catalog of components, laptops, peripherals, and electronics. Search by keyword or paste any Newegg search, category, brand, store, or product URL. Built for price-monitoring teams, deal aggregators, e-commerce analysts, and resellers who need fresh, structured Newegg pricing without babysitting a fragile in-house collector.

Why This Scraper?

• 14 structured fields on every product — title, brand, item number, price, original price, discount, currency, shipping, rating, review count, in-stock status, seller, image, and direct URL, in clean flat rows ready for a spreadsheet.
• Original price plus an auto-computed discount — every on-sale product surfaces its pre-discount price and the savings as "23% off", an instant-rebate amount, or the live promo text, so you spot real deals without doing the math.
• Six named sort modes — Featured Items, Lowest Price, Highest Price, Best Selling, Best Rating, and Most Reviews, applied across search, category, brand, and store pages.
• First-party vs. marketplace seller on every row — the seller field reads "Newegg" for first-party stock or the exact marketplace seller name, so you can separate Newegg-shipped inventory from third-party listings.
• Price-range and in-stock filters applied to every result — set a minimum and maximum dollar amount and an in-stock-only toggle once and they hold across the full listing, not just the first page.
• Star rating and review count for social proof — pull the average rating and the number of reviews on each product to rank by popularity or filter out untested items.
• Newegg item number for exact SKU matching — every row carries the official Newegg item code (e.g. N82E16814126751), the reliable key for joining against your own catalog or re-pulling a specific product.
• Five URL types accepted — paste search-result, category, brand, store, or individual product URLs; listing pages expand into their full product grid and product URLs return that one item directly.
• US-wide catalog coverage — graphics cards, CPUs, motherboards, SSDs, gaming laptops, monitors, and peripherals across Newegg's full United States storefront.

Use Cases

Price Monitoring & Repricing

• Track GPU, CPU, and SSD prices across the catalog day over day
• Watch original-vs-current price to catch flash sales and rebates
• Feed live competitor pricing into your own repricing engine
• Alert when a target item drops below a set price

Deal & Coupon Sites

• Surface the steepest percentage-off products with the discount field
• Sort by Best Selling to populate "trending deals" pages
• Build category-specific deal feeds (gaming, storage, networking)
• Flag instant-rebate and promo-tagged items automatically

Market & Competitor Research

• Compare brand presence and pricing within a category
• Measure first-party vs. marketplace seller mix on a product line
• Benchmark a competitor's catalog by pasting their store page
• Track review counts and ratings to gauge product traction

Reselling & Sourcing

• Find in-stock components under a target buy price
• Identify high-rating, high-review products with healthy margins
• Monitor stock status to source items the moment they return
• Pull marketplace seller listings for arbitrage analysis

Inventory & Catalog Tracking

• Keep a live mirror of pricing and stock for chosen item numbers
• Enrich an existing product database with ratings and images
• Detect when watched SKUs go out of stock or come back

Getting Started

Search by Keyword

The simplest run — one keyword, default cap:

{
"searchQueries":["rtx 4090"]
}

Filter by Price and Stock

Find in-stock graphics cards in a target price band, cheapest first:

{
"searchQueries":["graphics cards"],
"minPrice":500,
"maxPrice":1500,
"inStockOnly":true,
"sortBy":"lowest-price",
"maxResults":200
}

Paste Newegg URLs

Mix a category listing with an individual product page:

{
"startUrls":[
"https://www.newegg.com/p/pl?d=nvme%20ssd",
"https://www.newegg.com/asus-geforce-rtx-5090/p/N82E16814126751"
],
"sortBy":"most-reviews",
"maxResults":300
}

Input Reference

What to Scrape

Filters

Limits

Output

Each product is one flat row. Here's a representative result:

{
"title":"ASUS ROG Astral GeForce RTX 5090 OC Edition 32GB GDDR7 Graphics Card",
"brand":"ASUS",
"itemNumber":"N82E16814126751",
"price":2799.99,
"originalPrice":3199.99,
"discount":"13% off",
"currency":"USD",
"shipping":"Free Shipping",
"rating":4.6,
"reviewCount":97,
"inStock":true,
"seller":"Newegg",
"image":"https://c1.neweggimages.com/ProductImage/14-126-751-V01.jpg",
"url":"https://www.newegg.com/asus-geforce-rtx-5090/p/N82E16814126751"
}

Output Fields

Tips for Best Results

• Use specific keywords — search "rtx 4090" or "gaming laptop", not a bare department name like "graphics card". Broad single-word department terms can land on a Newegg landing page instead of a product list.
• Pair price filters with a Lowest Price sort — Newegg returns products in the order you choose, so a minPrice/maxPrice band reaches its matches fastest when collected cheapest-first instead of by Featured Items.
• Use Most Reviews to surface established products — sorting by review count brings battle-tested, high-confidence items to the top, ideal for sourcing or building "best of" lists.
• Paste a category URL with filters already applied — set up a filtered view on Newegg (brand, price, attributes), then paste that URL; the actor preserves those category parameters and expands the full filtered grid.
• Start small to test — set maxResults to 20–50 on your first run to confirm the data matches your needs, then scale up.
• Combine keywords and URLs — run several search keywords and several Newegg URLs in a single job; each gets its own result cap. Overlapping keywords (for example "rtx 4090" and "geforce") can return the same product in more than one search, so a product may appear more than once across the dataset.
• Read the seller field for sourcing — filter rows where seller is "Newegg" for first-party stock, or keep the named marketplace sellers when you want third-party listings.

Pricing

From $5.00 per 1,000 results — pay only for the products you collect, with no monthly rental. Bronze, Silver, and Gold subscribers pay progressively less; the table below shows total cost at each discount tier.

A "result" is any product row in the output dataset. No compute or time-based charges — you pay per result, plus a small fixed per-run start fee.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This actor is designed for legitimate price monitoring, market research, and competitive analysis. Users are responsible for complying with applicable laws and Newegg's Terms of Service. Collect only publicly available product information, respect reasonable request volumes, and do not use extracted data for spam or any unlawful purpose.