Holidu Property Search Scraper

Holidu Property Search Scraper: Extract Vacation Rental Data Efficiently

Understanding Holidu and Vacation Rental Data Value

Holidu.com is a leading vacation rental search engine aggregating millions of properties from platforms like Airbnb, Booking.com, and Vrbo. Unlike single-platform scrapers, Holidu provides cross-platform property comparison, making it valuable for understanding the broader vacation rental market.

The platform offers detailed property information including pricing across providers, guest ratings, amenities, cancellation policies, and booking options. For vacation rental managers, market researchers, and travel platforms, this data reveals pricing strategies, market saturation, and competitive positioning across destinations.

This scraper automates extraction of property search results, transforming manual browsing into structured datasets for analysis, integration, or competitive intelligence.

What This Scraper Extracts

The scraper processes Holidu search results, capturing property listings with comprehensive details:

Property Identification: ID, group ID, external group ID, and provider information for tracking properties across platforms.

Availability & Booking: Availability status, express/instant bookable flags, and routing type indicate booking ease and platform preferences.

Pricing Data: Price, alternative price rates, and currency enable pricing analysis across dates, locations, and providers.

Property Details: Complete property information including bedrooms, bathrooms, capacity, and unique selling points (USPs).

Location Data: Geographic information and proximity to ski resorts or attractions for market segmentation.

Visual Assets: Photo URLs for property presentation and marketing analysis.

Ratings & Reviews: Guest ratings, Holidu ratings, and review extracts provide quality signals and sentiment analysis.

Amenities: Detailed amenity lists (V2 and V3 formats) for filtering and feature analysis.

Policies: Cancellation policy details for risk assessment and booking flexibility analysis.

Input Configuration

The scraper uses structured search parameters to target specific properties:

{
  "keyword": "Florida--USA",
  "check_in": "2026-05-30",
  "check_out": "2026-06-06",
  "page": 3,
  "max_items_per_url": 50
}

Parameter Details:

keyword: Location identifier from Holidu URLs (e.g., "Florida--USA", "Paris--France"). Find this in the URL path: holidu.com/s/Florida--USA. Required field.

check_in / check_out: Date range in YYYY-MM-DD format. Affects pricing and availability data. Essential for accurate market analysis.

currency: Preferred currency (USD, EUR, GBP). Defaults to USD. Ensures consistent pricing comparison.

price_to: Maximum price filter (e.g., "1000"). Narrows results to budget range.

rating: Minimum rating filter ("90"=9.0+, "80"=8.0+, "70"=7.0+, "60"=6.0+). Focuses on quality properties.

bedrooms / bathrooms: Property size filters. Targets specific property types.

page: Page number for pagination. Defaults to 1. Use for deep scraping.

max_items_per_url: Items to extract (default 20). Controls dataset size per search.

Finding Keywords: Navigate to Holidu.com, search your destination, and copy the location slug from the URL between /s/ and ?.

Output Structure and Field Definitions

Sample Output:

{
  "id": "63773738",
  "group_id": "63773753",
  "listing_url": "https://www.holidu.com//d/63773738",
  "name": "La Costa Beach Club",
  "long_name": "Studio for 2 people, with pool",
  "short_description": null,
  "property_type": "Studio",
  "bedrooms": 1,
  "max_guests": 2,
  "area": null,
  "pets_allowed_count": null,
  "bed_types": [],
  "sleeping_arrangements": [],
  "distance_to_beach": 100.0,
  "distance_to_beach_unit": "UNIT_YD",
  "location_name": "Pompano Beach, Florida",
  "latitude": 26.251541,
  "longitude": -80.08579,
  "distance_to_search_center": 1.7,
  "distance_to_search_center_unit": "mi",
  "price_total": 1739,
  "price_daily": 248,
  "price_is_exact": false,
  "currency": "USD",
  "original_price_total": null,
  "original_price_daily": null,
  "discount_type": null,
  "discount_amount": null,
  "discount_percentage": null,
  "discount_description": null,
  "nights": 7,
  "rating_value": 0,
  "rating_count": 0,
  "holidu_rating": null,
  "free_cancellation_days_before_arrival": 14,
  "free_cancellation_until_date": "2026-12-16",
  "is_instant_bookable": true,
  "is_express_bookable": true,
  "is_available": null,
  "provider_id": "NEXTPAX_LEAVETOWNV",
  "provider_name": "Leavetown",
  "provider_legal_name": "Jetstream Hospitality Solutions Ltd",
  "provider_address": "Gladstonos 55 3040 Limassol Cyprus",
  "provider_logo_url": "https://static.holidu.com/img/provider/logos/NEXTPAX_LEAVETOWNV_1.png",
  "provider_is_premium_partner": false,
  "amenities": [
    "Pool",
    "Wi-Fi",
    "Air conditioning",
    "Parking"
  ],
  "has_pool": true,
  "has_wifi": true,
  "has_air_conditioning": true,
  "has_parking": true,
  "tags": [],
  "photo_count": 12,
  "photo_urls": [
    "https://img.holidu.com/images/5f1483ff-877d-4849-9fdc-0a87eb674d67/hr.jpg",
    "https://img.holidu.com/images/d76e098b-0f08-4c4c-8660-cbf8570b8724/hr.jpg",
    "https://img.holidu.com/images/6e2e3623-3f76-48f3-adda-a83fc196599b/hr.jpg",
    "https://img.holidu.com/images/3006e169-e574-49ad-a2a7-4d1400a4b169/hr.jpg",
    "https://img.holidu.com/images/d5b8327c-374c-4164-9125-23b58eb9cf57/hr.jpg",
    "https://img.holidu.com/images/7006063b-7025-4b12-a7d5-b934233bec82/hr.jpg",
    "https://img.holidu.com/images/b1077ef5-8e88-4917-9d93-26c9113be9f9/hr.jpg",
    "https://img.holidu.com/images/26f15b29-d4e3-4f40-8189-ec72ce295d7d/hr.jpg",
    "https://img.holidu.com/images/73a7f07a-e9b9-4861-bcdc-686dfe6766d8/hr.jpg",
    "https://img.holidu.com/images/745c60fe-2b3a-497a-9293-ffbb6533faa1/hr.jpg",
    "https://img.holidu.com/images/92918a55-eb73-4314-9b52-dd20895feccd/hr.jpg",
    "https://img.holidu.com/images/5eedd6a0-aaea-4ee3-8ec2-0a6762170e79/hr.jpg"
  ],
  "raw_data": null,
  "from_url": "https://api.holidu.com/rest/v6/search/offers?searchTerm=Florida--USA&checkin=2026-12-30&checkout=2027-01-06&pageIndex=3&domainId=2&locale=en-US"
}

The scraper returns JSON data with each vacation rental as an object containing detailed fields. Understanding field purposes enables effective analysis and application.

Listing Identification

ID: Unique identifier of the rental listing on Holidu. Purpose: Database indexing, tracking specific listings over time, avoiding duplicates, linking to detail pages.

Group ID: Identifier of the property group the listing belongs to. Purpose: Detecting the same property listed multiple times, deduplication across providers.

Listing URL: Direct link to the full listing on Holidu. Purpose: Accessing complete details, sharing options with clients, verification of scraped data.

Property Details

Name: Title of the rental as set by the host. Purpose: Quick preview, keyword analysis, listing summaries.

Long Name: Auto-generated descriptive title summarizing type, capacity and key features. Purpose: Fast overview of the property and extracting feature keywords.

Short Description: Brief description of the property (may be null). Purpose: Marketing text analysis when available.

Property Type: Category of the property (e.g., Villa, Apartment). Purpose: Segmenting the market by accommodation type.

Bedrooms: Number of bedrooms. Purpose: Matching properties to group size, capacity-based pricing analysis.

Max Guests: Maximum number of guests the property accommodates. Purpose: Price-per-guest analysis, group travel targeting.

Area: Property size (may be null). Purpose: Size-based comparison and price-per-area analysis when available.

Pets Allowed Count: Number of pets allowed (may be null). Purpose: Filtering pet-friendly properties.

Bed Types: List of bed types available in the property. Purpose: Matching sleeping needs of guests, quick filtering.

Sleeping Arrangements: Room-by-room breakdown of beds (type, name, count). Purpose: Detailed capacity verification and layout analysis.

Distance To Beach: Distance from the property to the nearest beach. Purpose: Evaluating location value, filtering beach-proximate properties.

Distance To Beach Unit: Unit of the beach distance (e.g., mi). Purpose: Correct interpretation of the distance value.

Location

Location Name: Area name where the property is located. Purpose: Quick display and regional grouping.

Latitude: Geographic latitude of the property. Purpose: Map plotting, distance calculations, spatial analysis.

Longitude: Geographic longitude of the property. Purpose: Map plotting, distance calculations, spatial analysis.

Distance To Search Center: Distance from the property to the center of the searched region. Purpose: Evaluating centrality and ranking by proximity.

Distance To Search Center Unit: Unit of the search center distance. Purpose: Correct interpretation of the distance value.

Pricing

Price Total: Total price for the searched stay. Purpose: Budget filtering, price comparison, market valuation.

Price Daily: Average price per night. Purpose: Nightly rate benchmarking and competitor pricing analysis.

Price Is Exact: Whether the price is final for the selected dates or an estimate. Purpose: Judging price reliability.

Currency: Currency of the listed prices. Purpose: Correct financial interpretation when merging datasets.

Original Price Total: Total price before discount (may be null). Purpose: Measuring discount depth.

Original Price Daily: Nightly price before discount (may be null). Purpose: Measuring discount depth per night.

Discount Type: Type of discount applied (may be null). Purpose: Analyzing promotion strategies.

Discount Amount: Absolute discount value (may be null). Purpose: Calculating savings.

Discount Percentage: Discount as a percentage (may be null). Purpose: Comparing promotions across listings.

Discount Description: Text describing the discount (may be null). Purpose: Understanding promotion conditions.

Nights: Number of nights the price applies to (may be null). Purpose: Verifying stay length behind the total price.

Ratings

Rating Value: Guest rating score (0–100 scale). Purpose: Quality assessment and ranking.

Rating Count: Number of reviews behind the rating. Purpose: Judging rating reliability (a single review is weak evidence).

Holidu Rating: Platform's own rating (may be null). Purpose: Alternative quality benchmark when available.

Booking Conditions

Free Cancellation Days Before Arrival: Days before arrival until which cancellation is free. Purpose: Assessing booking flexibility and risk.

Free Cancellation Until Date: Exact deadline for free cancellation (may be null). Purpose: Precise planning of booking decisions.

Is Instant Bookable: Whether the property can be booked instantly. Purpose: Identifying frictionless bookings.

Is Express Bookable: Whether the express booking flow is available. Purpose: Evaluating booking convenience.

Is Available: Availability status for the searched dates (may be null). Purpose: Filtering bookable inventory.

Provider

Provider ID: Identifier of the booking provider. Purpose: Grouping listings by provider, supply source analysis.

Provider Name: Display name of the provider. Purpose: Competitor tracking, market share by provider.

Provider Legal Name: Registered legal name of the provider. Purpose: Business research and verification.

Provider Address: Registered company address of the provider. Purpose: Business research and lead enrichment.

Provider Logo URL: Link to the provider logo. Purpose: Branding in reports and dashboards.

Provider Is Premium Partner: Whether the provider is a premium partner of the platform. Purpose: Identifying high-tier suppliers.

Amenities

Amenities: List of main amenities offered. Purpose: Feature analysis, keyword filtering, guest targeting.

Has Pool: Whether the property has a pool. Purpose: Filtering and price premium analysis.

Has Wifi: Whether Wi-Fi is available. Purpose: Filtering for remote workers and business travelers.

Has Air Conditioning: Whether air conditioning is available. Purpose: Comfort filtering, seasonal demand analysis.

Has Parking: Whether parking is available. Purpose: Filtering for travelers with vehicles.

Tags: Platform labels attached to the listing (may be empty). Purpose: Identifying highlighted or special listings.

Media

Photo Count: Total number of photos in the listing. Purpose: Evaluating listing quality and completeness.

Photo URLs: List of direct links to high-resolution photos in original order. Purpose: Downloading images, visual inspection, computer vision analysis.

Raw Data

Raw Data: Complete original JSON object of the listing as scraped, without modification. Purpose: Auditing, debugging, accessing fields not included in the cleaned output, and reprocessing without re-scraping.

Implementation Guide

1. Define Search Parameters: Choose destination keywords, date ranges, and filters matching your research goals.

2. Configure Input: Set up JSON with parameters. For large datasets, adjust max_items_per_url and use pagination via page parameter.

3. Execute Scraping: Launch via Apify. Processing 50 properties typically completes in 1-2 minutes.

4. Export Data: Download as JSON for databases or CSV for spreadsheet analysis.

5. Handle Pagination: For comprehensive coverage, increment page parameter across multiple runs or set high max_items_per_url.

Error Tips: Verify keyword format matches Holidu URLs. Ensure date formats are YYYY-MM-DD. Invalid filters may return empty results.

Strategic Applications

Dynamic Pricing Analysis: Track price fluctuations across dates, seasons, and providers to optimize rental pricing strategies.

Market Density Mapping: Analyze property concentration and pricing by location to identify saturated vs. underserved markets.

Amenity Benchmarking: Compare amenity offerings across price points and locations to identify competitive advantages.

Provider Performance: Track which platforms (Airbnb, Vrbo) dominate specific markets and price ranges.

Rating Correlation: Analyze relationship between ratings, amenities, and pricing for quality positioning.

Seasonal Trends: Monitor availability and pricing patterns across seasons for inventory planning.

Competitive Intelligence: Track competitor properties, pricing changes, and booking availability.

Best Practices

Schedule Regular Scraping: Weekly scraping captures pricing changes and seasonal trends. Daily monitoring for high-competition markets.

Filter Strategically: Use rating and price filters to focus on relevant market segments rather than scraping all properties.

Cross-Reference Data: Combine with local tourism data, events calendars, and occupancy reports for comprehensive market understanding.

Validate Accuracy: Spot-check scraped prices against live Holidu listings to ensure data freshness.

Respect Rate Limits: Space out large scraping runs to maintain sustainable access.

Conclusion

The Holidu Property Search Scraper delivers comprehensive vacation rental market intelligence across global destinations. From pricing optimization to market analysis, this tool transforms Holidu's aggregated data into actionable insights for rental managers, travel platforms, and market researchers. Start extracting vacation rental intelligence today.