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Vrbo Vacation Rentals & Rates Scraper

Pricing

from $1.75 / 1,000 item scrapeds

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Vrbo Vacation Rentals & Rates Scraper

Vrbo Vacation Rentals & Rates Scraper

Extract Vrbo vacation rental homes, beachfront villas, cabins, nightly rates, amenities, guest capacities, and host reviews across any destination.

Pricing

from $1.75 / 1,000 item scrapeds

Rating

0.0

(0)

Developer

LiteZero

LiteZero

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

4 days ago

Last modified

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🚀 Vrbo Vacation Rentals, Nightly Rates, Amenities & Capacity Extractor

Production-grade, high-speed data extraction tool for extracting real-time structured data from Vrbo Vacation Rentals. Designed specifically for B2B data teams, automated workflows, and LLM/RAG pipelines with Pay-Per-Result (PPR) pricing and Free Platform Usage.


🥊 Why This Actor Beats the Competition

Feature⚡ This Actor (vrbo-vacation-rentals-scraper)🐌 Legacy Scrapers
Pricing ModelPay-Per-Result ($2.50/1k)Heavy monthly rental or surprise compute charges
Platform Compute100% FREE (Bundled in PPR)Buyer pays for compute hours & memory
SpeedSub-second direct HTTP (200+ items/sec)5–15 seconds per page via heavy Puppeteer
Anti-Bot ResilienceNative browser fingerprint spoofingFrequent 403 blocks and IP bans
Volume Discounts10% Bronze / 20% Silver / 30% GoldFixed high price across all tiers
Setup FrictionZero auth or external API key requiredRequires complicated API registration

🛠️ How to Use

Method 1: Apify Web Console (No-Code GUI)

  1. Navigate to the Actor page on the Apify Console.
  2. Enter your target Destination City or Region and set Maximum Results Count.
  3. Click Start and download your dataset in JSON, CSV, Excel, or XML format.

Method 2: Python SDK

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
"destination": "Miami Beach, FL",
"maxItems": 50
}
run = client.actor("litezero/vrbo-vacation-rentals-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)

Method 3: Node.js SDK

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('litezero/vrbo-vacation-rentals-scraper').call({
destination: 'Miami Beach, FL',
maxItems: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Method 4: REST API (cURL)

curl -X POST "https://api.apify.com/v2/acts/litezero~vrbo-vacation-rentals-scraper/runs?token=YOUR_APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"destination": "Miami Beach, FL", "maxItems": 20}'

📥 Input Parameters

ParameterTypeRequiredDefaultDescription
destinationStringYes"Miami Beach, FL"Target vacation destination (e.g. 'Miami Beach, FL', 'Lake Tahoe, CA', 'Gatlinburg, TN', 'Maui, HI').
maxItemsIntegerNo20Maximum number of records to extract (1 to 1000).
proxyConfigurationObjectNoNoneOptional proxy settings.

📤 Output Data Dictionary & Sample JSON

Every extracted record includes complete metadata and conforms to the following schema:

{
"propertyId": "vrbo-928194ha",
"title": "Modern Oceanfront Luxury Condo with Panoramic Atlantic Views",
"url": "https://www.vrbo.com/928194ha",
"destination": "Miami Beach, FL",
"propertyType": "Condo / Apartment",
"nightlyRateUsd": 340.0,
"cleaningFeeUsd": 150.0,
"currency": "USD",
"sleeps": 6,
"bedrooms": 2,
"bathrooms": 2.0,
"reviewRating": 4.9,
"reviewsCount": 215,
"isPremierHost": true,
"amenities": [
"Oceanfront",
"Swimming Pool",
"High-Speed WiFi",
"Central AC",
"Balcony"
],
"scrapedAt": "2026-10-05T21:00:00.000Z"
}

💡 Top Commercial Use Cases

  1. Market & Competitor Intelligence: Benchmark pricing, ratings, and customer sentiment continuously.
  2. B2B Lead Generation & Outreach: Enrich your CRM with verified profiles, addresses, and contacts.
  3. AI & RAG Vector Pipelines: Ingest fresh, structured domain data into enterprise LLMs and vector stores.

Maintained under Apify Creator Account litezero. Built in full compliance with the Apify Store quality guidelines.