# Newegg Scraper — PC Parts Prices, Ratings & Stock (No API Key) (`jamhimself/newegg-search-scraper`) Actor

Scrape Newegg search results as clean JSON: title, price, brand, model, rating, review count, stock, image, and URL. Bulk, no API key.

- **URL**: https://apify.com/jamhimself/newegg-search-scraper.md
- **Developed by:** [Jaime Martinez](https://apify.com/jamhimself) (community)
- **Categories:** E-commerce, Agents, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$4.00 / 1,000 product results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Search Scraper — PC Parts Prices, Ratings & Stock (No API Key)

Scrape Newegg.com search and category pages into clean, structured product data — no API key, no login. This Newegg scraper works as a PC parts price scraper and electronics component price tracker, pulling product title, brand, model, current price, list price, sale status, Newegg's 30-day low, rating, review count, availability, and item number in bulk. Built for developers, price analysts, and AI pipelines that need Newegg product data by the row, pay per result.

Under the hood it uses Chrome TLS impersonation with residential US proxies and automatic session rotation to clear anti-bot walls, so you don't manage proxies or logins.

### ⚡ Quick start

Paste this into the Actor's **Input** (JSON view) and hit **Start**:

```json
{
  "searchQuery": "graphics card",
  "maxResults": 40
}
```

Each result row looks like:

```json
{
  "itemNumber": "14-930-090",
  "title": "MSI GeForce RTX 4070 VENTUS 2X 12G OC Graphics Card",
  "brand": "MSI",
  "price": 549.99,
  "rating": 4.7,
  "reviewCount": 128,
  "inStock": true,
  "url": "https://www.newegg.com/msi-geforce-rtx-4070-ventus-2x-12g-oc/p/N82E16814930090"
}
```

Or run it from the API:

```
POST https://api.apify.com/v2/acts/jamhimself~newegg-search-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN
```

### What you get

| Field | Description |
|---|---|
| `title` | Product title |
| `brand` / `model` | Manufacturer and model number |
| `price` | Current price |
| `listPrice` / `onSale` | Original price and whether it's discounted |
| `lowestPrice30Days` | Newegg's 30-day low |
| `rating` / `reviewCount` | Average rating and number of reviews |
| `inStock` | Availability |
| `itemNumber` | Newegg item number |
| `image` | Primary product image URL |
| `url` | Newegg product page |

### Use cases

- Track PC parts prices and spot discounts on GPUs, SSDs, CPUs, and RAM.
- Monitor competitor and MAP pricing across electronics components.
- Build market research datasets on hardware pricing and ratings.
- Feed structured product data into an LLM, RAG, or agent pipeline.
- Source products for dropshipping and reselling with brand and model numbers.
- Assemble a Newegg product catalog dataset for analytics.

### Input

- **searchQuery** — what to search for, e.g. `ssd`, `rtx 4070`, `mechanical keyboard` (prefilled: `ssd`).
- **startUrls** — (optional) paste Newegg search/category URLs directly. Overridden by `searchQuery` if both are set.
- **maxResults** — how many products to return, paginates automatically (default `60`, up to `1000`).

### Pricing

Pay per product delivered. No subscription.

*A quick review on the Apify Store really helps other builders find it.*

# Actor input Schema

## `searchQuery` (type: `string`):

What to search Newegg.com for, e.g. "ssd", "rtx 4070", "mechanical keyboard".

## `startUrls` (type: `array`):

Alternatively, paste Newegg search/category URLs directly. Overridden by searchQuery if both are set.

## `maxResults` (type: `integer`):

Maximum number of products to return (paginates automatically).

## Actor input object example

```json
{
  "searchQuery": "ssd",
  "maxResults": 60
}
```

# Actor output Schema

## `products` (type: `string`):

One row per product.

# 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 = {
    "searchQuery": "ssd"
};

// Run the Actor and wait for it to finish
const run = await client.actor("jamhimself/newegg-search-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 = { "searchQuery": "ssd" }

# Run the Actor and wait for it to finish
run = client.actor("jamhimself/newegg-search-scraper").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 '{
  "searchQuery": "ssd"
}' |
apify call jamhimself/newegg-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=jamhimself/newegg-search-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ze1gXeNanKpuDUQ7C/builds/dgrKyenKBEvvlKrM8/openapi.json