Pricing

from $2.50 / 1,000 listing occupancy records

Airbnb Occupancy & Dynamic Pricing Monitor

Reads public Airbnb listing/search HTML for calendar availability, blocked-date proxy occupancy, nightly prices, and cleaning fees.

Pricing

from $2.50 / 1,000 listing occupancy records

Rating

0.0

(0)

Developer

Shwetanshu Mehta

Actor stats

Bookmarked

Total users

Monthly active users

5 days ago

Last modified

Airbnb Calendar & Pricing Data Scraper API through CLI

The Apify CLI is the official tool that allows you to use Airbnb Occupancy & Dynamic Pricing Monitor locally, providing convenience functions and automatic retries on errors.

Install Apify CLI

Using installation script (macOS/Linux):

$curl -fsSL https://apify.com/install-cli.sh | bash

Using installation script (Windows):

$irm https://apify.com/install-cli.ps1 | iex

Using Homebrew:

$brew install apify-cli

Using npm:

$npm install -g apify-cli

Other API clients include:

Airbnb Occupancy & Dynamic Pricing Monitor API in Python

Airbnb Occupancy & Dynamic Pricing Monitor API in JavaScript

Airbnb Occupancy & Dynamic Pricing Monitor OpenAPI definition

Airbnb Occupancy & Dynamic Pricing Monitor API

Airbnb Occupancy Scraper — Calendar, Occupancy & Booking Pace

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Airbnb Scraper — Prices, Availability Calendar & Occupancy

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Airbnb scraper for prices and availability: search a place or paste Airbnb URLs and get each listing’s price for your dates and guests, plus up to 24 months of availability calendar with occupancy, listing details and reviews. No login, no Airbnb API key. Pay per row; unknown places are free.

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Airbnb Calendar · Availability & Occupancy

corent1robert/airbnb-calendar-availability-scraper

Paste a city search URL — occupancy calendars plus a real monitor: schedule the Actor, compare to the last snapshot, optional webhook. Companion Actors: Airbnb Pro Host (emails) and Airbnb Price Monitor (rates). No login.

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Airbnb Occupancy Scraper with Booking Rate Percentage

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Scrape Airbnb occupancy data for any listing or region. Get availability, booked dates, calendar insights, and pricing trends to support market research, revenue planning, and competitive analysis. Outputs clean, structured data.

Scraper Engine

Airbnb Occupancy Scraper

api-empire/airbnb-occupancy-scraper

Scrape Airbnb occupancy data to analyze booked dates, availability, stay patterns, and rental demand. Track occupancy trends across listings and markets to support Airbnb investment research, pricing strategies, revenue analysis, and short-term rental insights.

API Empire

Airbnb Availability Calendar

simpleapi/airbnb-availability-calendar

Airbnb Availability Calendar Scraper extracts availability data from Airbnb listing calendars. Collect available and booked dates, pricing, minimum stay rules, and listing details to track occupancy trends, analyze competitors, or monitor rental availability for research and market insights. 🏡📅📊

SimpleAPI

Airbnb Market Occupancy Scraper

cirkit/airbnb-market-occupancy-scraper

Occupancy for every listing in an Airbnb market. Walks each 12-month calendar and corrects for the host's booking horizon and owner blocks, giving real occupancy per listing, per month, and market-wide — not the naive blocked-day count, which can overstate occupancy by 15x.

Crikit

Airbnb Price Monitor · Nightly Rate Tracker

corent1robert/airbnb-price-monitor

Track nightly rates across any Airbnb market. Schedule it: each run compares to the last snapshot and flags up/down. Companion Actors: Airbnb Calendar (occupancy) and Airbnb Pro Host (emails). No login.

Corentin Robert

Airbnb Calendar & Availability Scraper

integrative_tangent/airbnb-calendar-scraper

Scrapes Airbnb calendar availability, pricing, and occupancy data for 1-12 months forward. Supports listing IDs, URLs, search URLs, bounding boxes, and location names.

Luis Segura

Airbnb Occupancy Scraper with Minimum Nights Calendar

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Airbnb Occupancy Scraper: Analyze listing availability calendars with booked dates, minimum-night requirements, prices, and property details. Estimate occupancy patterns, identify seasonal demand, compare listings, and research short-term rental market performance.