Ostrovok.ru Reviews Scraper: Extract Hotel Reviews at Scale

---

What Is Ostrovok.ru?

Ostrovok.ru is one of Russia's largest online hotel booking platforms, hosting detailed guest reviews across thousands of properties. These reviews contain valuable signals — ratings, traveller profiles, trip types, and management replies — that are difficult to collect manually at scale. The Ostrovok.ru Reviews Scraper automates this process, delivering clean, structured review data ready for analysis.

---

Overview

The Ostrovok Reviews Scraper targets hotel detail pages on Ostrovok.ru and extracts paginated guest review data. It is built for:

• Hotel managers monitoring guest sentiment and competitor reputation
• Data analysts building hospitality review datasets
• OTA researchers studying review patterns across Russian travel platforms
• Reputation management teams tracking response rates and ratings over time

The scraper supports sorting options, pagination control, and bulk URL input — making it suitable for both single-property audits and large-scale data collection.

---

Input Format

{
  "ignore_url_failures": true,
  "max_items_per_url": 200,
  "urls": [
    "https://ostrovok.ru/hotel/russia/moscow/mid10000400/katyusha_hotel_3/?dates=30.05.2026-31.05.2026&guests=2&room=s-4f915d87-11ee-51b9-bc8f-c2f48d903ca6&q=2395"
  ],
  "page": 2,
  "sort_by": "relevance_desc"
}

Field Reference

Field	Type	Description
urls	array	One or more Ostrovok.ru hotel detail page URLs. Paste individually or use Bulk edit.
sort_by	string	Sort order for reviews. Options: relevance_desc (Relevance), date_desc (Newest), rate_desc (Highest rating), rate_asc (Lowest rating)
page	integer	Page number to start scraping from. Default: 1. Use 2+ to skip early pages or resume a run.
ignore_url_failures	boolean	If true, failed URLs are skipped without stopping the entire run. Recommended for bulk jobs. Default: true
max_items_per_url	integer	Maximum reviews collected per URL. Default: 20. Maximum recommended: 200.

Tip: Include date and guest parameters in the URL (as shown above) to ensure the page loads correctly with available reviews. Use sort_by: "date_desc" for the most recent reviews, or rate_asc to surface critical feedback first.

---

Output Format

Sample Record (Annotated)

{
  "id": 1754286,
  "review_type": "ost",
  "review_date": "2025-08-28 09:23:23.417476+00",
  "order_context": {
    "adult_num": 2,
    "author_name": "Vladimir",
    "author_room": "Двухместный номер Стандарт (двуспальная кровать) (в главном здании)",
    "author_residency": "en-ru",
    "bedding_types": [
      "double"
    ],
    "check_in": "2025-08-24 00:00:00+00",
    "check_out": "2025-08-27 00:00:00+00"
  },
  "detailed": {
    "cleanness": 10,
    "location": 10,
    "price": 10,
    "services": 10,
    "room": 10,
    "meal": 10
  },
  "traveller_type": "couple",
  "trip_type": "leisure",
  "wifi_quality": null,
  "rating": 10,
  "reply": {
    "text": ""
  },
  "from_url": "https://ostrovok.ru/hotel/search/v1/site/reviews?page=2&page_size=10&lang=en&sort=relevance_desc&hotel=katyusha_hotel_3"
}

Each review returns a flat record with the following fields:

Field	Meaning
ID	Unique identifier for the review
Review Type	Classification of the review (e.g., verified stay, anonymous)
Review Date	Date the review was submitted
Order Context	Booking context associated with the review (e.g., room type, booking channel)
Detailed	Full review text, typically split into pros/cons or a general comment
Traveller Type	Profile of the reviewer (e.g., solo, couple, family, business)
Trip Type	Purpose of the trip (e.g., leisure, business)
Wifi Quality	Reviewer's rating or comment on wifi specifically
Rating	Overall numerical score given by the reviewer
Reply	Hotel management's response to the review, if present

---

How to Use

1. Get the hotel URL — Open the target hotel page on Ostrovok.ru. Copy the full URL including date and guest parameters.
2. Set your sort order — Choose date_desc for recent reviews or rate_asc to prioritize negative feedback.
3. Configure pagination — Set page: 1 to start from the beginning, or a higher number to resume from a specific page.
4. Set item limit — Use max_items_per_url: 200 for comprehensive coverage per property.
5. Run and export — Download results as JSON or CSV for use in spreadsheets, dashboards, or NLP pipelines.

Common issues:

• If reviews don't load, ensure the URL includes valid dates and guests query parameters.
• Set ignore_url_failures: true when processing multiple hotels to avoid interruptions.
• Reviews may vary by session — using consistent date parameters improves reproducibility.

---

Use Cases & Business Value

• Sentiment analysis: Feed Detailed and Rating fields into NLP models to classify guest satisfaction trends
• Reputation benchmarking: Compare ratings and reply rates across competitor hotels
• Operational insights: Use Wifi Quality and Traveller Type to identify specific friction points by guest segment
• Response monitoring: Track whether and how quickly hotels reply via the Reply field

---

Conclusion

The Ostrovok.ru Reviews Scraper turns paginated hotel review pages into structured, analysis-ready datasets. With control over sorting, pagination, and volume, it adapts to both quick audits and large-scale research workflows. Start collecting reviews today to power smarter hospitality decisions.