Newegg Product Scraper — Prices, Specs & Reviews 🥚

🎉 Pull live Newegg prices, ratings, specs and seller info — by keyword or category, no code

Built for PC builders, e-commerce sellers, price analysts and electronics brands who need fresh Newegg product data on demand

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📋 Overview

Need clean Newegg data without copy-pasting product pages all day? This scraper turns any Newegg search or category into a tidy, structured spreadsheet of products — complete with prices, ratings, images, specifications and seller details — ready to download as JSON, CSV or Excel.

Why thousands of professionals choose us:

• ✅ Complete product data: price, original price, MAP, instant rebates, ratings, review counts, images, stock, seller and full specs
• ⚡ Fast keyword & category search: ~40+ products per page, paginated automatically until you hit your limit
• 🎯 Full specification sheets: switch to Detail mode for the complete specs table, UPC, manufacturer part number and category breadcrumbs
• 💰 Pay-per-result pricing: you're only charged for the products you actually receive — no wasted spend
• 💎 Native sorting: order results by featured, price, best-selling, best rating or most reviews — exactly like the site
• ✨ NEW: two modes — fast Overview for catalog sweeps, rich Detail for complete spec sheets

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✨ Features

• 🔎 Keyword & Category Search: scrape any Newegg search term or category listing
• ⚡ Overview Mode: price, ratings, images, brand/model, seller and stock — the fast, cheap path
• 🔬 Detail Mode: everything in Overview PLUS the full specifications table, UPC, part number and breadcrumbs
• 💲 Rich Pricing: current price, original/list price, MAP, instant rebates and shipping cost
• ⭐ Ratings & Reviews: average rating and total review count for every product
• 📸 All Product Images: every hi-res image URL, hero image first
• 🏪 Seller & Stock: marketplace seller name, in-stock flag and ships-from country
• 🔃 Native Sorting: featured, price low/high, best-selling, best rating, most reviews
• 📦 Clean Exports: download as JSON, CSV or Excel — no formatting cleanup needed

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🎬 Quick Start

Enter one or more search keywords, pick a mode, and run. In under a minute you'll have a structured dataset of Newegg products you can download as JSON or CSV. No setup, no code.

curl -X POST https://api.apify.com/v2/acts/sian.agency~newegg-product-scraper/runs?token=YOUR_TOKEN \
-H 'Content-Type: application/json' \
-d '{"keywords": ["rtx 4070"], "scrapeMode": "overview", "maxResults": 50}'

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🚀 Getting Started (3 Simple Steps)

Step 1: Enter your searches

Type one or more Newegg search keywords (e.g. rtx 4070, ddr5 32gb, nvme ssd 2tb) — one per line.

Step 2: Pick a mode

Choose Overview for a fast catalog sweep, or Detail for the full specification sheet on every product.

Step 3: Run and download

Click Start, then export your results as JSON, CSV or Excel.

That's it! In about a minute, you'll have:

• A clean table of Newegg products with prices and ratings
• Images, seller info and stock status for each item
• Full specification sheets (in Detail mode)

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📥 Input Configuration

Field	Type	Required	Description
keywords	array	No	Newegg search terms, one per item (e.g. rtx 4070)
navValues	array	No	Advanced — Newegg category N= value from a category URL
scrapeMode	string	No	overview (fast) or detail (full specs) — default overview
sort	string	No	featured, price_low, price_high, best_selling, best_rating, most_reviews
maxResults	integer	No	Max products across all searches (FREE: 25, PAID: unlimited)

Example:

{
  "keywords": ["rtx 4070", "ddr5 32gb"],
  "scrapeMode": "detail",
  "sort": "best_selling",
  "maxResults": 100
}

Category sweep:

{
  "navValues": ["100007709"],
  "scrapeMode": "overview",
  "maxResults": 200
}

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📤 Output

Results are saved to the Apify dataset with 35+ fields including:

Field	Type	Description
productTitle	string	Full product name
brand	string	Manufacturer / brand
model_number	string	Manufacturer model number
part_number	string	Manufacturer part number (Detail)
upc	string	Universal Product Code (Detail)
price	number	Current final price
original_price	number	List/was price before discount
instant_rebate	number	Instant rebate amount
rating	number	Average customer rating (0–5)
review_count	integer	Total number of reviews
in_stock	boolean	Whether the product is in stock
seller_name	string	Marketplace seller (empty when sold by Newegg)
category	string	Top-level product category
specs	object	Full key-value specifications table (Detail)
images	array	All product image URLs
url	string	Direct link to the product page

Example:

{
  "item_id": "14-126-761",
  "productTitle": "ASUS PRIME GeForce RTX 5070 12GB GDDR7 Graphics Card",
  "brand": "ASUS",
  "model_number": "PRIME-RTX5070-12G",
  "price": 641.99,
  "original_price": 710.49,
  "instant_rebate": 68.5,
  "rating": 4.5,
  "review_count": 170,
  "in_stock": true,
  "category": "Components",
  "subcategory": "GPUs / Video Graphics Cards",
  "images": ["https://c1.neweggimages.com/ProductImageOriginal/14-126-761-01.png"],
  "url": "https://www.newegg.com/asus-prime-rtx5070-12g/p/N82E16814126761"
}

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💼 Use Cases & Examples

1. Price & Promo Monitoring

Retailers and resellers tracking competitor pricing on PC parts and electronics.

Input: A list of product keywords (e.g. rtx 4070, 9800x3d) Output: Current price, original price, rebates and MAP for every match Use: Spot price drops, undercut competitors, time your buys

2. PC-Part Catalog Research

System builders and storefronts assembling component catalogs.

Input: Category nav values or broad keywords Output: Full product lists with specs, images and stock Use: Build comparison tables and buying guides without manual entry

3. Competitive Pricing Intelligence

Brands and analysts benchmarking electronics across the market.

Input: Brand or product-line keywords Output: Structured pricing and rating data, refreshed on demand Use: Feed dashboards and BI tools with fresh market data

4. Product Feed & Spec Extraction

E-commerce teams populating product feeds.

Input: Keywords in Detail mode Output: Full specification tables, UPC and part numbers Use: Enrich product feeds with accurate, structured specs

5. Stock & Availability Checks

Buyers and procurement teams watching for restocks.

Input: Specific product keywords Output: In-stock flags, seller and shipping info Use: Trigger alerts when sought-after parts come back in stock

6. Market & Demand Research

Analysts studying electronics pricing and assortment trends.

Input: Category sweeps across multiple keywords Output: Large structured datasets ready for analysis Use: Track assortment breadth, pricing bands and rating distributions

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🔗 Integration Examples

JavaScript/Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });

const run = await client.actor('sian.agency/newegg-product-scraper').call({
  keywords: ['rtx 4070'],
  scrapeMode: 'overview',
  maxResults: 50,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]);

Python

from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')

run = client.actor('sian.agency/newegg-product-scraper').call(
    run_input={'keywords': ['rtx 4070'], 'scrapeMode': 'overview', 'maxResults': 50}
)

for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

cURL

curl -X POST 'https://api.apify.com/v2/acts/sian.agency~newegg-product-scraper/runs?token=YOUR_TOKEN' \
-H 'Content-Type: application/json' \
-d '{"keywords": ["rtx 4070"], "scrapeMode": "overview"}'

Automation Workflows (N8N / Zapier / Make)

1. Trigger: Schedule or webhook
2. HTTP Request: Call the actor API
3. Process: Handle JSON results
4. Action: Save to a sheet, notify a channel, or update a dashboard

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📊 Performance & Pricing

FREE Tier (Try It Now)

• 25 products per run — full feature access, same quality
• No credit card required
• Perfect for testing and small projects

PAID Tier (Production Ready)

• Unlimited products per run
• Faster processing, no delays
• Pay-per-result: only charged for successful results

💰 Transparent pay-per-result pricing — a cheap, high-volume Overview event and a premium Detail event for full spec sheets.

🔗 View current pricing

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❓ Frequently Asked Questions

Q: How many products can I scrape? A: FREE tier: 25 per run. PAID tier: unlimited.

Q: What's the difference between Overview and Detail mode? A: Overview returns search-result data (price, ratings, images, seller, stock). Detail adds the full specifications table, UPC, manufacturer part number and category breadcrumbs from each product page.

Q: Can I scrape a whole category? A: Yes — paste the category's N= value into the navValues field for a category-level sweep.

Q: What output formats are available? A: JSON, CSV and Excel — export directly from the Apify dataset.

Q: Do I need an account or API key for Newegg? A: No — just enter your keywords and run.

Q: Is this legal? A: Yes — we only extract publicly available data. See the legal section below.

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🐛 Troubleshooting

No results returned

• Check your keyword spelling and try a broader term
• Some very niche keywords return few or no products — try a category sweep instead

Fewer results than expected

• FREE tier caps at 25 products per run — upgrade to PAID for unlimited
• Raise maxResults if you set it low

Missing specs

• Specifications, UPC and part numbers are only populated in Detail mode

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⚖️ Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses, gender, or location. 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.

Trademark notice: Newegg® is a trademark of Newegg Inc. This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Newegg. It is provided solely to help users collect publicly available product information.

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🤝 Support

Join our active support community

• For issues or questions, open an issue in the actor's repository
• Check SIÁN Agency Store for more automation tools
• 📧 apify@sian-agency.online

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