Airbnb Calendar Availability & Pricing Scraper avatar

Airbnb Calendar Availability & Pricing Scraper

Pricing

from $2.45 / 1,000 item scrapeds

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Airbnb Calendar Availability & Pricing Scraper

Airbnb Calendar Availability & Pricing Scraper

Extract Airbnb listing availability, nightly rates, cleaning fees, total trip costs, and host ratings for vacation rental market analysis and arbitrage.

Pricing

from $2.45 / 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

a day ago

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🚀 Airbnb Calendar Availability & Pricing Scraper

Extract Airbnb listing availability, nightly rates, cleaning fees, total trip costs, and host ratings for vacation rental market analysis and arbitrage.


💡 Why Choose This Actor?

FeatureThis ActorStandard Competitors
Pricing Model$3.50/1k (PPR, Free Platform Usage)$40+/mo fixed subscription or heavy compute bills
Data QualityClean, structured JSON with validationPartial, inconsistent HTML dumps
AuthenticationZero login / credentials requiredComplex cookies / account session maintenance
ThroughputHigh-concurrency lightweight containerHeavy, fragile browser overhead
API ReadyImmediate Zapier, Make, and webhook syncDifficult export workflows

🛠️ Step-by-Step: How to Use

Method 1: Apify Console (No Code)

  1. Open the Actor on the Apify Store.
  2. Enter your target search criteria or parameters.
  3. Click Start and download your dataset as CSV, Excel, or JSON.

Method 2: Python SDK

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_API_TOKEN")
run_input = {
"maxItems": 20
}
run = client.actor("litezero/airbnb-listing-calendar-scraper").call(run_input=run_input)
dataset_items = client.dataset(run["defaultDatasetId"]).list_items().items
print(f"Extracted {len(dataset_items)} items!")

Method 3: Node.js SDK

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_APIFY_API_TOKEN' });
const run = await client.actor('litezero/airbnb-listing-calendar-scraper').call({
maxItems: 20,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Extracted ${items.length} items!`);

📥 Input Parameters

Full configuration available in the input tab:

  • maxItems: Maximum number of results to fetch (Default: 10).
  • Custom search / filter attributes per target platform.
  • Optional proxy configuration.

📤 Output Data Format

Data is pushed directly to the default Apify Dataset. Output fields include timestamps, metadata ranks, and target platform attributes.


💼 Top Commercial Use Cases

  1. Market & Competitor Intelligence: Benchmark pricing, sales volume, and performance trends.
  2. Lead Generation & Outreach: Extract verified contact details and engagement metrics for sales funnels.
  3. Automated Alerts & Dashboards: Feed real-time data pipelines into Slack, Google Sheets, or CRM systems.