Newegg Products Scraper

Extract structured product data from public Newegg search, category, and product pages. Use it to monitor PC hardware prices, compare sellers, track stock and discounts, collect ratings, or build ecommerce intelligence feeds. Direct public requests are the default; bounded retries handle transient timeouts, 429, 5xx, and configured-proxy errors without changing routes automatically.

At a glance

• Search by one or many keywords, scrape listing URLs, or provide direct product URLs and item IDs.
• Export numeric price, original price, discount, stock, condition, shipping, rating, review, seller, image, and URL fields.
• Optionally enrich listing results with product-page specifications.
• Filter saved rows by minimum and maximum parsed price.
• Deduplicate equivalent sources and product URLs before processing and charging.
• Inspect RUN_SUMMARY for retries, failed requests, detail fallbacks, filtered products, and saved products.

What can it do?

Newegg Products Scraper turns public Newegg listings and product pages into analysis-ready product records. It can combine keyword searches, listing URLs, direct product URLs, and item IDs in one deduplicated run.

Who is it for

• Ecommerce teams comparing Newegg pricing against other marketplaces
• Resellers and PC builders tracking component prices and availability
• Marketplace analysts watching ratings, review volume, and seller offers
• Data teams that need repeatable JSON, CSV, or Excel exports from Newegg listings

What you can scrape

• Product titles and Newegg product URLs
• Item numbers / model hints
• Current and original price text
• Numeric price when visible
• Ratings and review counts
• Seller, shipper, availability, and promotion text
• Product images
• Category/breadcrumb context when available
• Optional product-page specification rows
• Numeric original price and discount percentage
• Normalized stock, condition, shipping cost, free-shipping, and ships-by-Newegg fields

Input examples

Search Newegg by keyword

{
  "searchQueries": ["rtx 4070", "gaming laptop"],
  "maxItems": 50,
  "pageLimit": 2,
  "sort": "featured"
}

Scrape a specific Newegg listing URL

{
  "startUrls": [
    { "url": "https://www.newegg.com/p/pl?d=mechanical+keyboard" }
  ],
  "maxItems": 25,
  "pageLimit": 1
}

Include extra specification rows

{
  "searchQueries": ["ssd 2tb"],
  "maxItems": 10,
  "includeProductDetails": true
}

Scrape direct product URLs or item IDs

{
  "productUrls": [
    "N82E16814932611",
    "https://www.newegg.com/p/N82E16820232869"
  ],
  "maxConcurrency": 2
}

Filter listing results by price

{
  "searchQueries": ["gaming laptop"],
  "minPrice": 700,
  "maxPrice": 1200,
  "maxItems": 50,
  "pageLimit": 5
}

Input settings

Provide at least one searchQueries, startUrls, or productUrls entry. Only public HTTPS Newegg.com URLs are accepted.

Output example

{
  "query": "rtx 4070",
  "startUrl": "https://www.newegg.com/p/pl?d=rtx+4070",
  "pageUrl": "https://www.newegg.com/p/pl?d=rtx+4070",
  "position": 1,
  "title": "GIGABYTE GeForce RTX 4070 Graphics Card...",
  "productUrl": "https://www.newegg.com/p/N82E16814932611?Item=N82E16814932611",
  "itemNumber": "N82E16814932611",
  "model": "GV-N4070...",
  "price": 549.99,
  "currentPriceText": "$549.99",
  "originalPriceText": null,
  "originalPrice": null,
  "discountPercent": null,
  "rating": 5,
  "reviewCount": 128,
  "availability": "In stock",
  "inStock": true,
  "condition": "New",
  "seller": "Newegg",
  "shipper": null,
  "shippingCost": 0,
  "freeShipping": true,
  "shipsByNewegg": true,
  "promoText": null,
  "imageUrl": "https://c1.neweggimages.com/...jpg",
  "brand": "GIGABYTE",
  "category": "GPUs / Video Graphics Cards",
  "breadcrumbs": ["Components", "GPUs / Video Graphics Cards"],
  "specs": null,
  "scrapedAt": "2026-07-08T08:30:00.000Z"
}

What data can you extract?

Tips for reliable runs

• Keep includeProductDetails off unless you need specifications; listing-only runs are faster.
• Use maxItems and pageLimit together to control cost and run duration.
• Start with direct public requests. Enable a proxy only when you explicitly need to use a configured route.
• Leave bounded retries enabled; retries stop after the configured limit and never add a new route automatically.
• Use RUN_SUMMARY to distinguish no matches, price-filter exclusions, detail fallbacks, and exhausted upstream retries.
• For price monitoring, run the same query URL on a schedule and compare exported datasets.

Limits and caveats

• Newegg page layout and availability wording can vary by region and seller.
• Some products may not show prices, ratings, reviews, or stock text.
• Newegg or an upstream residential route can still fail after all bounded retries; the run summary records a machine-readable error counter.
• Sponsored and organic products may both appear when Newegg renders them as product cards.
• The actor only extracts public data visible without logging in.

API usage

Start a run with cURL:

curl "https://api.apify.com/v2/acts/fetch_cat~newegg-products-scraper/runs?token=$APIFY_TOKEN" \
  -H 'Content-Type: application/json' \
  -d '{"searchQueries":["rtx 4070"],"maxItems":25,"pageLimit":1}'

Run it from Node.js:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('fetch_cat/newegg-products-scraper').call({
  searchQueries: ['rtx 4070'],
  maxItems: 25,
  pageLimit: 1,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems({ clean: true });
console.log(items);

Run it from Python:

from apify_client import ApifyClient
import os

client = ApifyClient(os.environ['APIFY_TOKEN'])
run = client.actor('fetch_cat/newegg-products-scraper').call(run_input={
    'searchQueries': ['rtx 4070'],
    'maxItems': 25,
    'pageLimit': 1,
})
items = client.dataset(run['defaultDatasetId']).list_items(clean=True).items
print(items)

Download dataset items:

curl "https://api.apify.com/v2/datasets/DATASET_ID/items?format=json&clean=true&token=$APIFY_TOKEN"

MCP and agent usage

Use this actor from AI agents through Apify MCP:

https://mcp.apify.com/?tools=fetch_cat/newegg-products-scraper

Claude CLI setup:

claude mcp add apify-newegg "https://mcp.apify.com/?tools=fetch_cat/newegg-products-scraper"

JSON MCP server config:

{
  "mcpServers": {
    "apify-newegg": {
      "url": "https://mcp.apify.com/?tools=fetch_cat/newegg-products-scraper"
    }
  }
}

Example prompts:

• "Find current Newegg prices and review counts for RTX 4070 graphics cards and return the lowest-priced in-stock items."
• "Track Newegg gaming laptop listings under 1000 USD and summarize sellers, ratings, and promo text."

Legality and responsible use

This actor extracts publicly visible Newegg listing data. Use the results responsibly, respect applicable laws and Newegg terms, and avoid collecting or storing personal data you do not need.

Support

Open an issue from the actor page and include your run ID, run URL, input JSON, a reproducible public URL from Newegg or a search query, expected output, and actual output so we can reproduce the problem.

Privacy and data handling

This Actor only requests the permissions needed to run the input you provide. It uses your input (such as URLs, search terms, identifiers, filters, and limits) only to fetch the requested public data from the relevant source site or API for this Actor, then writes results to your Apify dataset/key-value store.

Data may pass through Apify platform services and Apify Proxy during the run, and requests are sent only to the target site or public data provider required for this Actor's results. FetchCat does not send your inputs or outputs to advertising networks, data brokers, or model-training services, and does not retain run data outside Apify storage after the run except when you explicitly share run details for transient support debugging.

You are responsible for using this Actor lawfully, respecting the target site's terms, and avoiding unnecessary personal or sensitive data in inputs. Review the output before storing, sharing, or combining it with other data.