# Newegg Product Scraper — Prices & Specs (`crawloop/newegg-product-scraper`) Actor

Scrape Newegg products by keyword. Export price, rating, review count, specs, and item number for PC parts price checks and catalog builds.

- **URL**: https://apify.com/crawloop/newegg-product-scraper.md
- **Developed by:** [Andrej Kiva](https://apify.com/crawloop) (community)
- **Categories:** E-commerce, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.90 / 1,000 products

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Newegg Product Scraper — prices, ratings & specs

> **Disclaimer:** Unofficial tool — not affiliated with, sponsored by, or endorsed by Newegg. Data is read from a public product-search endpoint. No login. You are responsible for complying with applicable law and the site’s terms. No warranty on accuracy or availability. Provided for informational and research use.

> **PC parts catalog** — keyword search rows with price, rating, review count, and short specs. Pair with Amazon Search or Walmart when you need the same SKU on another retailer.

| Newegg catalog | Amazon search | Walmart catalog |
| :---: | :---: | :---: |
| Newegg Product Scraper ◄── you are here | [Amazon Search Scraper](https://apify.com/crawloop/amazon-search-scraper) | [Walmart Scraper](https://apify.com/crawloop/walmart-scraper) |
| Price, rating, specs, item number | Keyword SERP, ASIN, badges | ZIP-local price and stock |

Also see: [Flipkart Scraper](https://apify.com/crawloop/flipkart-scraper) · [Amazon Today's Deals Scraper](https://apify.com/crawloop/amazon-deals-scraper)

This **Newegg scraper** turns a keyword into a structured Apify dataset: **price**, **rating**, **review count**, **spec lines**, **item number**, and **image**. Use it as a Newegg API alternative from **Python**, **Node.js**, or an **MCP** assistant. HTTP only, no browser.

***

### When to use this Actor

- **Newegg product scrape** by the same keywords shoppers type into search
- **PC parts price checks** — GPUs, CPUs, RAM, SSDs, laptops, monitors
- **Sort and price band** — lowest price, best selling, rating, or a min/max USD filter
- **Catalog fills** that need item number, title, and a product URL in one row

### When not to use this Actor

- **Checkout, cart, or account** automation
- **Full review text** — the row has rating and review count, not review bodies
- **Seller contact data** — no emails or phone numbers
- **Amazon or Walmart prices** — use [Amazon Search Scraper](https://apify.com/crawloop/amazon-search-scraper) or [Walmart Scraper](https://apify.com/crawloop/walmart-scraper)

***

### Key features

- **Keyword search** — one or more queries in a single run
- **Sort** — featured, price, rating, reviews, best selling, release date
- **Price filter** — optional minimum and maximum USD
- **Spec lines** — the short bullets shown on the search card
- **Deduped item numbers** — the same product is stored once across keywords

***

### Input

| Field | Required | Default | Description |
| :--- | :--- | :--- | :--- |
| `keywords` | Yes | — | Search terms |
| `sort` | No | `featured` | Result order |
| `minPrice` / `maxPrice` | No | empty | USD price band |
| `maxItems` | No | `30` | Unique products to keep (1–300) |
| `maxPages` | No | `1` | Pages per keyword (about 30 products each) |
| `proxyConfiguration` | No | off | Leave off unless a run is blocked |

```json
{
  "keywords": ["RTX 5070", "Ryzen 7 9800X3D"],
  "sort": "lowest_price",
  "maxItems": 30,
  "maxPages": 1
}
```

***

### Output

Each dataset row is one product card.

| Field | Description |
| :--- | :--- |
| `query` | Keyword that returned the row |
| `itemNumber` | Newegg item number |
| `title` | Product title |
| `price` | Current price |
| `currency` | ISO currency |
| `rating` | Average rating |
| `reviewCount` | Number of reviews |
| `priceSavePercent` | Discount percent when the card shows one |
| `plusPrice` | Plus-member price when present |
| `bullets` | Short spec lines |
| `imageUrl` | Primary image |
| `url` | Product page |
| `scrapedAt` | ISO-8601 timestamp |

```json
{
  "source": "newegg",
  "query": "RTX 5070",
  "itemNumber": "14-137-933",
  "title": "MSI Ventus GeForce RTX 5070 Ti 16GB",
  "price": 1179.99,
  "currency": "USD",
  "rating": 4.6,
  "reviewCount": 396,
  "bullets": ["16GB 256-Bit GDDR7", "Boost Clock 2482 MHz"],
  "url": "https://www.newegg.com/p/14-137-933"
}
```

***

### Use cases

- **GPU and CPU price checks** before a build or a restock
- **Assortment research** — which cards rank, how many reviews they have, and the short spec line
- **Multi-retailer comps** — take `itemNumber` and title, then price the same product with Amazon Search or Walmart
- **Scheduled keyword runs** — re-run the same input when you want a fresh price list

***

### Integration examples

Replace `YOUR_TOKEN` with an Apify API token. The Actor stays private until you publish it.

#### Node.js

```javascript
import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "YOUR_TOKEN" });
const run = await client.actor("crawloop/newegg-product-scraper").call({
  keywords: ["RTX 5070"],
  sort: "lowest_price",
  maxItems: 20,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_TOKEN")
run = client.actor("crawloop/newegg-product-scraper").call(run_input={
    "keywords": ["RTX 5070"],
    "sort": "lowest_price",
    "maxItems": 20,
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(items)
```

#### cURL

```bash
curl "https://api.apify.com/v2/acts/crawloop~newegg-product-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords":["RTX 5070"],"sort":"lowest_price","maxItems":20}'
```

***

### MCP and AI assistants

Use this Actor from AI tools via [Apify MCP](https://docs.apify.com/platform/integrations/mcp). Connect your Apify account, then call this Actor by name.

Example prompts:

- "Run Newegg Product Scraper for RTX 5070, sort by lowest price, and return the top 20 rows as JSON."
- "Scrape Ryzen 7 9800X3D on Newegg and summarize price, rating, and spec lines."
- "Chain Newegg Product Scraper then Amazon Search Scraper and compare titles and prices."

***

### Suite next step

After a Newegg price list, run [Amazon Search Scraper](https://apify.com/crawloop/amazon-search-scraper) on the same product titles for a second retail price. For a US big-box check, use [Walmart Scraper](https://apify.com/crawloop/walmart-scraper) with a ZIP.

***

### FAQ

**Is this a browser scrape?**\
No. One HTTP call per search page. Default memory is 256 MB. Leave proxy off.

**Does an empty keyword list still finish?**\
Yes. With no keywords the run stores zero rows and exits.

**Can I get review text or seller emails?**\
No. Rows include rating and review count only.

**How many products are on a page?**\
About 30. Raise `maxPages` and `maxItems` together if you need more than the first page.

# Actor input Schema

## `keywords` (type: `array`):

Search terms shoppers type on Newegg (for example RTX 5070, Ryzen 7 9800X3D).

## `sort` (type: `string`):

Result order for every keyword.

## `minPrice` (type: `integer`):

Keep products at or above this price. Leave empty for no floor.

## `maxPrice` (type: `integer`):

Keep products at or below this price. Leave empty for no ceiling.

## `maxItems` (type: `integer`):

Stop after this many unique products across all keywords.

## `maxPages` (type: `integer`):

How many result pages to request for each keyword. A page is about 30 products.

## `proxyConfiguration` (type: `object`):

Leave proxy off. The catalog endpoint answers without it. Turn on Apify Proxy only if a run is blocked.

## Actor input object example

```json
{
  "keywords": [
    "RTX 5070"
  ],
  "sort": "featured",
  "maxItems": 30,
  "maxPages": 1,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Default dataset items.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": [
        "RTX 5070"
    ],
    "maxItems": 30
};

// Run the Actor and wait for it to finish
const run = await client.actor("crawloop/newegg-product-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keywords": ["RTX 5070"],
    "maxItems": 30,
}

# Run the Actor and wait for it to finish
run = client.actor("crawloop/newegg-product-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": [
    "RTX 5070"
  ],
  "maxItems": 30
}' |
apify call crawloop/newegg-product-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,crawloop/newegg-product-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/C15ndY04LkOdiwTJz/builds/2ThuhtNS08aIIDJfm/openapi.json