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Алексей Спинов
Алексей Спинов

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How to Scrape Airbnb Listing Data (Prices, Reviews, Availability)

Airbnb data is valuable for real estate investors, property managers, and travel companies.

The Challenge

Airbnb blocks scrapers aggressively. No public API.

What Works

1. Airbnb Internal API

Airbnb frontend calls internal APIs for listing data. Use Playwright to intercept:

const listings = [];
page.on("response", async (res) => {
  if (res.url().includes("/api/v3/") && res.url().includes("StaysSearch")) {
    try { listings.push(await res.json()); } catch(e) {}
  }
});
await page.goto("https://www.airbnb.com/s/New-York/homes");
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2. Pre-Built Apify Actors

Several Apify actors handle Airbnb scraping with proxy rotation.

3. Alternative: Public Datasets

  • Inside Airbnb (insideairbnb.com) — free historical data
  • AirDNA — paid analytics platform

Data Available

  • Listing title, price per night
  • Location coordinates
  • Guest reviews and ratings
  • Amenities
  • Availability calendar
  • Host info (superhost status, response rate)

Use Cases

  1. Investment analysis — rental yield by neighborhood
  2. Pricing strategy — optimal nightly rate
  3. Market research — supply/demand by city
  4. Competitor monitoring — track similar listings

Resources


Need Airbnb or rental data? $20-50. Email: Spinov001@gmail.com | Hire me

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