# Newegg Reviews + Stats Scraper (`wibuild.in/newegg-reviews-stats-scraper`) Actor

First Ever NewEgg Reviews + Stats Scraper at VERY LOW PRICE collects recent customer review from NewEgg product pages. It extracts details like rating, title, comments, pros, cons, product info, and reviewer profile, up to a specified maximum number of reviews.

- **URL**: https://apify.com/wibuild.in/newegg-reviews-stats-scraper.md
- **Developed by:** [Wibuild](https://apify.com/wibuild.in) (community)
- **Categories:** AI, Agents, Automation
- **Stats:** 2 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $7.00 / 1,000 results

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/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 Reviews + Stats Scraper

> ⚠️ **For each product link, this scraper only collects reviews for the *currently selected variant*.**

### What it does

- Reads `URL` and `maxreviews` from Apify actor input.
- Collects reviews and rating stats into JSON objects.

Each review includes:

- Global stats: total review count, average rating, rating breakdown.
- Product info: item number, brand, category, product name.
- Review info: rating, title, text, pros, cons, date, username, nickname.

### Input format

```json
{
  "URL": "https://www.newegg.com/your-product-url/p/N82E16833320174",
  "maxreviews": 250
}
```

- `URL` – Newegg product page URL (variant you want to scrape).
- `maxreviews` – number of reviews to fetch (up to about 1000).

### Output

All scraped reviews are saved in the default Apify dataset as JSON records, one object per review.

#### Output fields (per review)

- `Global Reviews Count` – total reviews for this product.
- `Average Rating` – overall average star rating.
- `Rating 5 Percent` – share of 5★ reviews (%).
- `Rating 4 Percent` – share of 4★ reviews (%).
- `Rating 3 Percent` – share of 3★ reviews (%).
- `Rating 2 Percent` – share of 2★ reviews (%).
- `Rating 1 Percent` – share of 1★ reviews (%).
- `Rating 5 Count` – number of 5★ reviews.
- `Rating 4 Count` – number of 4★ reviews.
- `Rating 3 Count` – number of 3★ reviews.
- `Rating 2 Count` – number of 2★ reviews.
- `Rating 1 Count` – number of 1★ reviews.
- `Global Rating Count` – total ratings used for stats.
- `WebItemNumber` – Newegg web item id.
- `Item no` – Newegg item number.
- `Brand` – product brand name.
- `Category` – product category text.
- `Product Name` – product title on Newegg.
- `LanguageCode` – review language code.
- `Rating` – this review’s star rating.
- `Review Date` – review date on Newegg.
- `Title` – review title.
- `NickName` – reviewer nickname.
- `Username` – reviewer display name.
- `Comments` – main review text.
- `Pros` – pros section (if filled).
- `Cons` – cons section (if filled).
- `IsNewReview` – flag for “new” review.

# Actor input Schema

## `URL` (type: `string`):

URL to scrape

## `maxreviews` (type: `integer`):

Maximum number of reviews to scrape.

## Actor input object example

```json
{
  "URL": "https://www.newegg.com/p/2T4-028H-00001?Item=9SIBF0ZJ3T3617",
  "maxreviews": 50
}
```

# Actor output Schema

## `reviews` (type: `string`):

No description

# 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 = {
    "URL": "https://www.newegg.com/p/2T4-028H-00001?Item=9SIBF0ZJ3T3617",
    "maxreviews": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("wibuild.in/newegg-reviews-stats-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 = {
    "URL": "https://www.newegg.com/p/2T4-028H-00001?Item=9SIBF0ZJ3T3617",
    "maxreviews": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("wibuild.in/newegg-reviews-stats-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 '{
  "URL": "https://www.newegg.com/p/2T4-028H-00001?Item=9SIBF0ZJ3T3617",
  "maxreviews": 50
}' |
apify call wibuild.in/newegg-reviews-stats-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,wibuild.in/newegg-reviews-stats-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/bVgD9PfBTGSZ9G8Ys/builds/X4UZbUX5g6sOAhBgv/openapi.json