# OMR Reviews Scraper (`easyapi/omr-reviews-scraper`) Actor

Scrape detailed reviews from OMR Reviews platform. Extract comprehensive review data including reviewer information, company details, ratings, and video content for products and services.

- **URL**: https://apify.com/easyapi/omr-reviews-scraper.md
- **Developed by:** [EasyApi](https://apify.com/easyapi) (community)
- **Categories:** Lead generation, Integrations
- **Stats:** 8 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## OMR Reviews Scraper

### 🤖 What does OMR Reviews Scraper do?

This actor scrapes detailed review data from the OMR Reviews platform (omr.com). It extracts comprehensive information about product reviews, including reviewer details, company information, ratings, and associated video content.

### ✨ Features

- Scrapes detailed review information from OMR Reviews
- Extracts reviewer's personal and company information
- Captures review scores and recommendations
- Collects associated video content details
- Handles pagination automatically
- Supports custom number of results
- Built-in stealth mechanisms to avoid blocking

### 🗃️ Output Dataset

The actor stores results in a dataset, with each item containing:

- Review title and content
- Reviewer's name and company details
- Company size and industry information
- Recommendation score (0-10)
- Publication date
- Associated video details
- Review URL
- And more...

### 💡 Use Cases

- Market research and competitor analysis
- Product feedback collection
- Customer sentiment analysis
- Video testimonial tracking
- B2B software review monitoring

### 🏗️ Input Parameters

The actor accepts the following input parameters:

- `reviewUrls`: Array of OMR review page URLs to scrape
- `maxItems`: Maximum number of reviews to collect (optional, default: unlimited)

### ⚙️ Technical Details

- Built on Puppeteer with stealth plugins
- Handles dynamic loading and pagination
- Implements random delays and user agent rotation
- Efficient data collection with GraphQL intercepting

### 📌 Limitations

- Only works with public OMR review pages
- Rate limiting may apply based on OMR's policies
- Video content URLs may expire after certain period

#### Input Example

A full explanation of an input example in JSON.

```json
{
    "reviewUrls": [
        "https://omr.com/en/reviews/product/microsoft-teams/all/1?sortBy=relevance&ratings=better"
    ],
    "maxItems": 50
}
```

#### Output sample

The results will be wrapped into a dataset which you can always find in the **Storage** tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

```json
[
    {
        "anonymous": false,
        "companyField": "fintech",
        "companyName": "zapliance",
        "companyPosition": "Marketing & Communication Lead",
        "companySize": "11_50",
        "id": "ein-umfangreiches-tool-mit-vielen-moeglichkeiten-fuer-das-man-zeit-aufbringen-muss-um-alles-zu-verstehen",
        "incentive": false,
        "negative": "XX",
        "positive": "XX",
        "problems": "XX",
        "product": {
            "id": "257",
            "slug": "microsoft-teams",
            "title": "Microsoft Teams",
            "__typename": "Product"
        },
        "publishedAt": "2022-06-29T16:02:39+02:00",
        "recommendationScore": 8,
        "reviewerFirstName": "Zina",
        "reviewerLastName": "Fiege",
        "reviewReply": null,
        "title": "Ein umfangreiches Tool mit vielen Möglichkeiten, für das man Zeit aufbringen muss, um alles zu verstehen",
        "video": {
            "assetId": null,
            "contentType": "video/mp4",
            "name": "Zina, Microsoft Teams.mp4",
            "size": 94822945,
            "url": "https://assets.reviews.omr.com/0msuf8znrkudfamjis7u4o3lcnzp",
            "__typename": "Asset"
        },
        "__typename": "Review",
        "reviewUrl": "https://omr.com/en/reviews/product/microsoft-teams/all/1?sortBy=relevance&ratings=better"
    },
    ...
]
```

### Related Actors

- 🛍️ [Flipkart Review Scraper](https://apify.com/easyapi/flipkart-review-scraper) - Extract detailed product reviews and ratings from Flipkart with comprehensive user feedback data.
- 🏨 [Hotels.com Review Scraper](https://apify.com/easyapi/hotels-com-review-scraper) - Scrape detailed hotel reviews including ratings, review text and management responses.
- 🛍️ [Myntra Reviews Scraper](https://apify.com/easyapi/myntra-reviews-scraper) - Extract detailed review data from Myntra including ratings, comments and style attributes.
- 🛍️ [Meesho Reviews Scraper](https://apify.com/easyapi/meesho-reviews-scraper) - Collect comprehensive product reviews with ratings and review images from Meesho.
- 🛍️ [Noon.com Reviews Scraper](https://apify.com/easyapi/noon-com-reviews-scraper) - Extract detailed customer feedback and ratings from Noon.com marketplace.
- 🎬 [IMDB Reviews Scraper](https://apify.com/easyapi/imdb-reviews-scraper) - Extract detailed user reviews and ratings from any IMDB title.
- 📚 [Goodreads Review Scraper](https://apify.com/easyapi/goodreads-review-scraper) - Collect comprehensive book reviews and ratings from Goodreads.
- 🛍️ [Etsy Reviews Scraper](https://apify.com/easyapi/etsy-reviews-scraper) - Extract detailed product reviews and ratings from Etsy marketplace.
- 🎮 [Steam Reviews Scraper](https://apify.com/easyapi/steam-reviews-scraper) - Collect comprehensive game reviews and user feedback from Steam platform.
- 📱 [App Store Reviews Scraper](https://apify.com/easyapi/app-store-reviews-scraper) - Extract detailed app reviews and ratings from Apple App Store.
- 🍽️ [Zomato Restaurant Reviews Scraper](https://apify.com/easyapi/zomato-restaurant-reviews-scraper) - Collect restaurant reviews and ratings from Zomato.
- 🏨 [Hostelworld Reviews Scraper](https://apify.com/easyapi/hostelworld-reviews-scraper) - Extract detailed hostel reviews and ratings from Hostelworld.
- 🛍️ [Gumroad Reviews Scraper](https://apify.com/easyapi/gumroad-reviews-scraper) - Collect product reviews and customer feedback from Gumroad platform.
- 🏠 [Houzz Product Reviews Scraper](https://apify.com/easyapi/houzz-product-reviews-scraper) - Extract detailed product reviews and ratings from Houzz marketplace.
- 🛍️ [Lidl Reviews Scraper](https://apify.com/easyapi/lidl-reviews-scraper) - Collect comprehensive product reviews and ratings from Lidl's online store.
- 🍽️ [Grubhub Restaurant Reviews Scraper](https://apify.com/easyapi/grubhub-restaurant-reviews-scraper) - Extract detailed restaurant reviews and customer feedback from Grubhub.
- 🏨 [TripAdvisor Reviews Scraper](https://apify.com/easyapi/tripadvisor-reviews-scraper) - Collect detailed hotel reviews and ratings from TripAdvisor.
- 📚 [Udemy Course Reviews Scraper](https://apify.com/easyapi/udemy-course-reviews-scraper) - Extract comprehensive course reviews and student feedback from Udemy.

# Actor input Schema

## `reviewUrls` (type: `array`):

Array of OMR review page URLs to scrape

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

Maximum number of reviews to collect (optional)

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

Proxy settings for the scraper

## Actor input object example

```json
{
  "reviewUrls": [
    "https://omr.com/en/reviews/product/microsoft-teams/all/1?sortBy=relevance&ratings=better"
  ],
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("easyapi/omr-reviews-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("easyapi/omr-reviews-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 '{}' |
apify call easyapi/omr-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,easyapi/omr-reviews-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/xawrY98Rsib1gHirB/builds/PE9ynycGUH9eTLjbv/openapi.json