
OMR Reviews Scraper
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OMR Reviews Scraper
2 hours trial then $19.99/month - No credit card required now
Scrape detailed reviews from OMR Reviews platform. Extract comprehensive review data including reviewer information, company details, ratings, and video content for products and services.
Actor Metrics
1 Monthly user
No reviews yet
1 bookmark
Created in Jan 2025
Modified 7 hours ago
🤖 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 scrapemaxItems
: 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.
1{ 2 "reviewUrls": [ 3 "https://omr.com/en/reviews/product/microsoft-teams/all/1?sortBy=relevance&ratings=better" 4 ], 5 "maxItems": 50 6}
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.
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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