Extracting Data from Airbnb in python

I’ll show you how I built a custom web scraper using Python’s Scrapy framework to extract data from Airbnb. 🌐 We’ll start by setting up our spider to scrape listings in Calgary, adjusting parameters like location, check-in/check-out dates, and the number of guests. 🏙️🏡 ✨ Key Highlights: 1. Parsing Dynamic Data: We’ll dive into how to extract key data points like room titles, prices, ratings, images, and more from Airbnb’s dynamically loaded content. 2. Handling Pagination: Learn how to navigate through multiple pages of results using pagination to ensure we don’t miss any listings. 📄➡️📄 3. Building a JSON Output: All scraped data will be neatly structured and output as JSON, perfect for further analysis or use in other applications. 🔍 📜 Code Breakdown: – The spider starts with constructing the base URL, tailored with search parameters such as the number of adults, children, and pets. – It then sends a request to the server and parses the returned data to extract listing information like the average rating, room ID, title, price, and coordinates. – Finally, we implement pagination by fetching the `nextPageCursor`, allowing the spider to continue scraping through multiple pages of listings seamlessly.