Scrape detailed reviews from OMR Reviews platform. Extract comprehensive review data including reviewer information, company details, ratings, and video content for products and services.
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
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.
1[2{3"anonymous":false,4"companyField":"fintech",5"companyName":"zapliance",6"companyPosition":"Marketing & Communication Lead",7"companySize":"11_50",8"id":"ein-umfangreiches-tool-mit-vielen-moeglichkeiten-fuer-das-man-zeit-aufbringen-muss-um-alles-zu-verstehen",9"incentive":false,10"negative":"XX",11"positive":"XX",12"problems":"XX",13"product":{14"id":"257",15"slug":"microsoft-teams",16"title":"Microsoft Teams",17"__typename":"Product"18},19"publishedAt":"2022-06-29T16:02:39+02:00",20"recommendationScore":8,21"reviewerFirstName":"Zina",22"reviewerLastName":"Fiege",23"reviewReply":null,24"title":"Ein umfangreiches Tool mit vielen Möglichkeiten, für das man Zeit aufbringen muss, um alles zu verstehen",25"video":{26"assetId":null,27"contentType":"video/mp4",28"name":"Zina, Microsoft Teams.mp4",29"size":94822945,30"url":"https://assets.reviews.omr.com/0msuf8znrkudfamjis7u4o3lcnzp",31"__typename":"Asset"32},33"__typename":"Review",34"reviewUrl":"https://omr.com/en/reviews/product/microsoft-teams/all/1?sortBy=relevance&ratings=better"35},36 ...
37]
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Is it legal to scrape job listings or public data?
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
Do I need to code to use this scraper?
No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
What data does it extract?
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Can I scrape multiple pages or filter by location?
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
How do I get started?
You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!