# Rting Reviews Parser Spider (`getdataforme/rting-reviews-parser-spider`) Actor

The Rting Reviews Parser Spider extracts detailed reviews from Rtings.com for analysis, market research, or competitive intelligence....

- **URL**: https://apify.com/getdataforme/rting-reviews-parser-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** Automation, Lead generation, Other
- **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 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.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#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

## Rting Reviews Parser Spider

The Rting Reviews Parser Spider is a powerful tool designed to extract detailed reviews and discussions from Rtings.com. This actor is ideal for anyone needing to gather comprehensive review data for analysis, market research, or competitive intelligence.

### Features

- **Comprehensive Data Extraction**: Scrapes detailed review content, including user comments and ratings.
- **High Data Quality**: Ensures accurate and reliable data collection from Rtings.com.
- **Customizable Scraping Limits**: Allows users to set a maximum number of items to scrape.
- **User-Friendly Configuration**: Simple input setup with URL and item limit parameters.
- **Efficient Performance**: Optimized for fast and efficient data retrieval.
- **Versatile Output Formats**: Supports JSON, CSV, and Excel exports.
- **Robust Error Handling**: Designed to handle common scraping errors gracefully.

### Input Parameters

| Parameter   | Type    | Required | Description                                     | Example                                                   |
|-------------|---------|----------|-------------------------------------------------|-----------------------------------------------------------|
| Urls        | Array   | Yes      | The URLs to scrape from Rtings.com.             | `["https://www.rtings.com/soundbar/reviews/samsung/hw-q800f"]` |
| item\_limit  | Integer | No       | The maximum number of items to scrape.          | `10`                                                      |

### Example Usage

#### Example Input JSON

```json
{
  "Urls": [
    "https://www.rtings.com/soundbar/reviews/samsung/hw-q800f"
  ],
  "item_limit": 10
}
```

#### Example Output JSON

```json
[
  {
    "review_id": "198673",
    "discussion_id": "182071",
    "discussion_url": "https://www.rtings.com/discussions/eVvn9P4DbNyujHQS/review-updates-samsung-hw-q800f",
    "discussion_title": "Samsung HW-Q800F: Main Discussion",
    "content": "Merhaba ilk defa soundbar alicam q800f mi almalıyım q800d mi almalıyım",
    "upvotes": 1,
    "downvotes": 0,
    "status": "posted",
    "user": {
      "id": "687730",
      "display_name": "RtingsUser8040425",
      "url": "https://www.rtings.com/profiles/RtingsUser8040425",
      "upvotes": 1,
      "verified_brand_reviewer": false
    },
    "actor_id": "aCkzLuwzSCTbcY6lK",
    "run_id": "IRha4pmLZQXy2Rvg7"
  }
]
```

### Use Cases

- **Market Research and Analysis**: Gather insights from user reviews to inform product development.
- **Competitive Intelligence**: Monitor competitor products and customer feedback.
- **Price Monitoring**: Track pricing trends and changes over time.
- **Content Aggregation**: Compile reviews for content curation and publication.
- **Academic Research**: Analyze consumer behavior and product reception.
- **Business Automation**: Automate data collection for business intelligence systems.

### Installation and Usage

1. Search for "Rting Reviews Parser Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

### Output Format

The output is a JSON array where each object contains:

- `review_id`: Unique identifier for the review.
- `discussion_id`: Identifier for the discussion thread.
- `discussion_url`: URL of the discussion.
- `discussion_title`: Title of the discussion.
- `content`: The review content.
- `upvotes` and `downvotes`: Number of upvotes and downvotes.
- `status`: Status of the review.
- `user`: Object containing user details like `id`, `display_name`, and `url`.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: <https://getdataforme.com/contact/>

We're here to help you get the most out of this Actor!

# Actor input Schema

## `Urls` (type: `array`):

The urls for the spider.

## `item_limit` (type: `integer`):

The maximum number of items to scrape.

## Actor input object example

```json
{
  "Urls": [
    "https://www.rtings.com/soundbar/reviews/samsung/hw-q800f"
  ],
  "item_limit": 10
}
```

# 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 = {
    "item_limit": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/rting-reviews-parser-spider").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 = { "item_limit": 10 }

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/rting-reviews-parser-spider").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 '{
  "item_limit": 10
}' |
apify call getdataforme/rting-reviews-parser-spider --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/rting-reviews-parser-spider"
        }
    }
}

```

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/aCkzLuwzSCTbcY6lK/builds/VxLaDswcSjUmXqXDJ/openapi.json