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Airbnb Data Scraper using Apify

This project is an Apify actor designed to scrape data from Airbnb property listings, including availability, pricing, and other details, over a given date range. The actor uses dynamic parameters for flexibility and stores the extracted data in Apify's dataset or a CSV file.

Features

• Dynamic Date Range: Automatically generates check-in and check-out dates for the specified number of days.
• Recursive JSON Parsing: Extracts all paths and values from the JSON responses for comprehensive data collection.
• Data Storage: Pushes the extracted data to the Apify dataset or saves it locally as a CSV.
• Configurable Inputs: Accepts various input parameters like URLs, stay duration, number of guests, and more.

Input Schema

The script accepts the following inputs via Apify:

How It Works

1. Dynamic Date Generator:

   • Generates check-in and check-out dates based on the input checkInDate, Stay_Days, and numberOfDays.

2. Request Construction:

   • Encodes the Airbnb room ID in Base64 format.
   • Constructs GraphQL API requests with dynamically populated variables.

3. Data Collection:

   • Sends GET requests to Airbnb's API for each listing and date range.
   • Extracts data paths and values using recursive JSON parsing.

4. Data Storage:

   • Pushes the extracted data to the Apify dataset for further use.
   • Optionally saves data locally as a CSV file.

Output

The script outputs a dataset with the following fields:

Example Input

{
"startUrls":[
{"url":"https://www.airbnb.com/rooms/12345"},
{"url":"https://www.airbnb.com/rooms/67890"}
],
"checkInDate":"2024-11-21",
"Stay_Days":1,
"numberOfDays":10,
"adults":"2",
"children":"0",
"pets":"0"
}

Logs

The script logs progress and errors to the console, including:

• Current URL and date range being processed.
• Any errors encountered during requests or data parsing.