Scrape Logis hotel reviews at scale with a fast, reliable, and production-ready Apify Actor.

Extract structured hotel review data including:

• ⭐ Guest ratings with detailed category scores
• 📝 Review titles & full guest comments
• 👤 Guest names & stay dates
• 🏨 Hotel summary with aggregated ratings
• 🔢 Total review count per hotel
• 🌐 Multi-language support (EN, FR, DE, ES, IT, NL)
• ✅ Google translation detection

Perfect for:

• Travel & hospitality businesses
• SEO & content teams
• AI/LLM training datasets
• Reputation management platforms
• Market research & competitive analysis
• Customer experience analysis

Optimized for large-scale review extraction from Logis.com, the leading independent hotel chain across Europe.

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✨ Features

• ✅ Scrape Logis.com hotel reviews (all Logis properties)
• ✅ Extract guest ratings with score and maximum value
• ✅ Capture review dates & guest stay dates
• ✅ Extract full guest comments & reviewer names
• ✅ Detailed category ratings (reception, accommodation, restaurant, cleanliness, breakfast, etc.)
• ✅ Aggregated hotel rating summary
• ✅ Review count statistics per hotel
• ✅ Multi-language review support (EN, FR, DE, ES, IT, NL)
• ✅ Google translation detection for filtered datasets
• ✅ Multiple hotel URLs in a single run
• ✅ Optional cutoff date filtering
• ✅ Configurable maximum reviews per hotel
• ✅ Auto-detection of empty/placeholder reviews
• ✅ Apify API ready
• ✅ Webhook & workflow integrations (Make, Zapier, Google Sheets, BigQuery)

---

🔍 Supported Logis Hotel Pages

The scraper works with any Logis.com hotel page. Simply provide the hotel URL, and the Actor extracts all available reviews.

Example URLs:

https://www.logis.com/en/hotel/XXX/your-hotel-name
https://www.logis.com/fr/hotel/XXX/votre-nom-hotel
https://www.logis.com/de/hotel/XXX/ihr-hotelname

The Actor automatically detects the hotel ID and language, then collects all reviews from the specified page.

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⚙️ Input Configuration

Field	Type	Description
startUrls	array	One or more Logis.com hotel URLs
maxReviewsPerHotel	integer	Maximum reviews to scrape per hotel (default: 100, max: unlimited)
cutoffDate	date	Return only reviews from this date onwards (format: YYYY-MM-DD)
alwaysReturnSummary	boolean	Include hotel summary even if no reviews found (default: true)

---

📥 Example Input

{
  "startUrls": [
    {
      "url": "https://www.logis.com/en/hotel/123/paris-hotel-example"
    },
    {
      "url": "https://www.logis.com/fr/hotel/456/hotel-lyon-exemple"
    }
  ],
  "maxReviewsPerHotel": 150,
  "cutoffDate": "2025-01-01",
  "alwaysReturnSummary": true
}

---

📦 Output Dataset

For every review, the Actor returns a clean, structured record that combines the individual review, its category ratings, the hotelier reply, and an aggregated hotel summary — making downstream processing simple and scalable.

---

🧾 Output Fields

Field	Description
recordType	Type of record: review or summary
reviewDate	Date the review was published
stayDate	Date of the guest's stay
reviewerName	Guest's display name
reviewerComment	Full review text written by the guest
isTranslated	Whether the review was auto-translated by Google
ratings.overall	Overall guest rating (actual score)
hotelSummary.hotelId	Logis internal hotel ID
hotelSummary.startUrl	Original input URL
hotelSummary.actualUrl	Final resolved hotel URL
hotelSummary.numberOfReviews	Total reviews available for the hotel
hotelSummary.ratings.total	Average total rating
hotelSummary.ratings.recommendation	Recommendation score
hotelSummary.ratings.reception_and_service	Reception & service rating
hotelSummary.ratings.accommodation	Accommodation rating
hotelSummary.ratings.restaurant	Restaurant rating
hotelSummary.ratings.value_for_money	Value for money rating
hotelSummary.ratings.cleanliness	Cleanliness rating
hotelSummary.ratings.breakfast	Breakfast rating

---

🏨 Example Review Output

{
  "recordType": "review",
  "reviewDate": "2025-06-15T00:00:00+00:00",
  "stayDate": "2025-06-01T00:00:00+00:00",
  "reviewerName": "Jean D.",
  "reviewerComment": "Excellent stay! Clean rooms, friendly staff, great breakfast. Highly recommend this property.",
  "isTranslated": false,
  "ratings": {
    "overall": 8.5
  },
  "hotelSummary": {
    "hotelId": "12345",
    "startUrl": "https://www.logis.com/en/hotel/12345/paris-hotel",
    "actualUrl": "https://www.logis.com/en/hotel/12345/paris-boutique-hotel",
    "numberOfReviews": 247,
    "ratings": {
      "total": 8.2,
      "recommendation": 8.8,
      "reception_and_service": 8.4,
      "accommodation": 8.1,
      "restaurant": 7.9,
      "value_for_money": 8.0,
      "cleanliness": 8.6,
      "breakfast": 8.3
    }
  }
}

Example summary record:

{
  "recordType": "summary",
  "hotelSummary": {
    "hotelId": "12345",
    "startUrl": "https://www.logis.com/en/hotel/12345/paris-hotel",
    "actualUrl": "https://www.logis.com/en/hotel/12345/paris-boutique-hotel",
    "numberOfReviews": 247,
    "ratings": {
      "total": 8.2,
      "recommendation": 8.8,
      "reception_and_service": 8.4,
      "accommodation": 8.1,
      "restaurant": 7.9,
      "value_for_money": 8.0,
      "cleanliness": 8.6,
      "breakfast": 8.3
    }
  }
}

ℹ️ Logis uses a 10-point rating scale for most metrics. Each review includes the guest's overall rating and detailed category scores.

---

🌍 Ideal Use Cases

Perfect for:

• Hotel reputation monitoring — Track guest satisfaction trends across Logis properties
• Travel SEO & content teams — Build review-based landing pages & FAQ content
• AI/LLM training — Create hospitality-focused datasets for chatbots & recommendation engines
• Sentiment analysis — Analyze guest feedback across languages (EN, FR, DE, ES, IT, NL)
• Market intelligence — Benchmark competitor hotels & analyze industry trends
• Revenue management — Correlate guest ratings with occupancy & pricing strategies
• OTA integration — Aggregate Logis reviews for metasearch & booking platforms
• Reputation management platforms — Monitor brand mentions & response tracking
• Hospitality analytics — Build dashboards for hotel chains & franchisees
• Customer experience research — Deep-dive analysis of guest pain points & satisfaction drivers

---

🚀 Integrations

Platforms:

• Apify API & Console
• Python (apify-client)
• Node.js
• JavaScript (Puppeteer)
• Go
• Java

Workflows:

• Make.com (Zapier alternative)
• Zapier
• Google Sheets
• Airtable
• Slack
• Discord webhooks
• Custom webhooks

Data Warehouses:

• Google BigQuery
• Snowflake
• Amazon Redshift
• AWS S3
• Azure Data Lake
• Airbyte

AI/ML:

• LangChain
• OpenAI/GPT
• Hugging Face
• Custom transformers

Export Formats:

• JSON (default)
• CSV
• Excel
• XML
• Parquet

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⚡ Reliability & Performance

Technical Stack:

• Python 3.12+ (async-first)
• Smart pagination & caching
• Automatic retry logic with backoff
• Session management & cookies
• Proxy support (rotating, static, residential)
• Concurrent requests with rate limiting
• Error handling & recovery

Optimized for:

• Stable production workloads
• Large-scale data extraction
• Multi-language review aggregation
• High concurrency (~50-100 parallel requests)
• Memory-efficient streaming
• Scheduled runs & webhooks

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📊 Data Quality

Included Features:

• ✅ Automatic detection of empty/placeholder reviews
• ✅ Google translation flagging for quality filtering
• ✅ Multi-language classification
• ✅ Date validation & normalization
• ✅ Duplicate detection
• ✅ Invalid rating filtering
• ✅ HTML entity decoding
• ✅ Whitespace normalization

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👨‍💻 About the Author

Created by knagymate — specialized in high-performance Apify Actors for:

• Hotel & travel review scraping
• SEO-optimized datasets
• AI-ready structured data
• Production-grade integrations

Need custom solutions?

• Enterprise scraping setups
• Private Actor modifications
• Custom integrations & webhooks
• Data pipeline optimization

👉 Contact via Apify marketplace.

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⭐ Support & Feedback

If this Actor helps your project:

• ⭐ Star this repository (GitHub)
• 💬 Leave a review on the Apify marketplace
• 📧 Report issues or request features

Your feedback helps improve this tool for the community!