{"repo":"oxylabs/scraping-real-estate-data-with-python","free":true,"listed":false,"github":"https://github.com/oxylabs/scraping-real-estate-data-with-python","clone":"git clone https://github.com/oxylabs/scraping-real-estate-data-with-python.git","description":"A guide for extracting public data from Redfin using Python and Oxylabs Web Scraper API. From using the API to processing data and saving the result.","language":"Python","stars":15,"topics":["e-commerce-scraper","ecommerce-api","ecommerce-scraper","python","python-scraper","real-estate","scraper-api","web-scraping"],"license":null,"category":"scrapers-browser-automation","readme_excerpt":"Scraping Real Estate Data With Python Here's the process of collecting public property data from Redfin with the help of Oxylabs Web Scraper API ( 1-week free trial ) and Python. You can scrape real estate data like prices, sizes, number of beds and baths available, and addresses, increasing the likelihood of finding a good deal or understanding the market better. For the full guide, check our blog post. 1. Prepare environment Install dependencies Import libraries 2. Prepare the API request 3. Send request 4. Extract HTML 5. Parse data from HTML Note: you can also request Markdown output using \"markdown: true\" flag to get results in an easy-to-read format for various AI workflows. 6. Save to CSV The complete code Wrapping up Using Python and Web Scraper API is a seamless way to automate real estate data collection processes required for insights into the real estate market. Please refer to our technical documentation for more on the API parameters and variables found in this tutorial. If you have any questions, feel free to reach out by sending a message to support@oxylabs.io.","default_branch":null,"files":null,"tree":[],"storefront":"/r/oxylabs","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/oxylabs/scraping-real-estate-data-with-python/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}