Scraping Script - Property data

@ZohaibRoy

⭐⭐⭐⭐⭐ Collect Property Sale Data from Real Estate Websites Efficiently ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and noticed you're looking for a solution to collect property sale data from specified websites. Look no further; Zohaib is here to assist you! My team has successfully completed 50+ similar projects for data scraping and automation. I will create a script that extracts the required details like suburb name, property address, type, rooms, and sold price from the websites you mentioned. ➡️ Why Me? I can easily do your data collection project as I have 5 years of experience in web scraping, data extraction, and automation. My expertise includes Python programming, data processing, and handling HTML files. Additionally, I have a strong grip on tools like Beautiful Soup and Pandas, ensuring a smooth workflow for your project. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Web Scraping ✅ Python Programming ✅ Data Extraction ✅ HTML Parsing ✅ Data Processing ✅ Automation Scripts ✅ Excel Integration ✅ Google Sheets API ✅ Error Handling ✅ Data Analysis ✅ Beautiful Soup ✅ Requests Library Waiting for your response! Best Regards, Zohaib

@justmian876

As the founder and leader of BN-Droids Digital Services, my team and I are uniquely equipped to handle your web scraping project for property data. With a collective experience of over five years, we have honed our skills in data extraction using Python and web scraping. Notably, we are trusted to collect and manage more than one million data entries everyday -- meaning we're confident about our ability to comb through the vast information available on your target websites.

@hiberokpars

Hello, I will create a PHP script to automate your task. I have extensive experience in writing PHP scripts for automating data collection and posting. Please see my reviews for reference.

@denisSolution

Hello client, I’ve carefully reviewed your job description and have strong experience in these Data Extraction, Python, Google Sheets and Web Scraping. I can build a reliable web scraping solution tailored specifically to your needs. Whether using Node.js with Puppeteer/Cheerio or Python with Selenium/BeautifulSoup, I will extract, clean, and organize your data efficiently. I also handle anti-bot protections, pagination, and full automation as required. As you can see from my profile, my web scraping reviews are excellent, reflecting my commitment to quality work. I focus on writing clean, maintainable, and scalable code because I know the difference between 99% and 100%. If you hire me, I’ll do my best until you’re completely satisfied with the result. Let’s discuss your target website and preferred data format. Thanks, Denis

@dtk507

Hello! I understand your need to collect property sale data from the specified real estate websites, focusing on critical details like suburb names, property addresses, and sold prices. I will develop a robust scraping script that will not only extract the required data but also provide clear instructions on running it locally on a weekly basis. Additionally, the script will be designed to append the extracted data directly into an Excel or Google Sheets file for easy management. Should scraping be blocked, I can guide you through utilizing raw HTML to extract the necessary information instead. Regards, Davide

@alaminforayaji

As-salamu alaykum! My name is Al Amin and I am experienced in data extraction and analysis, two key skills you will find valuable for your property data scraping project. I understand how important it is to collect accurate and updated information, and by leveraging my expertise in Google Sheets, I can deliver just that. I have over a decade of experience working with data entry projects, making sure that every detail is captured accurately and efficiently. I have expertise in using tools like Perplexity for extracting information from raw HTML files, meaning even if scraping is disabled on the sites you've mentioned, I can still gather the required data for your selected suburbs. In terms of instruction on running the file locally each week, don't worry—I'll create a comprehensive guide or script that's easy to follow so you can obtain the latest data seamlessly. As a professional, 100% satisfaction is what I strive for in every project; thorough communication with timely delivery is my approach and ensuring that you are fully satisfied with the results is my priority.

@muneeb6767

Hello, I’m Muhammad Muneeb, and I can deliver a robust, professional automation to collect weekly auction results from Domain and Realestate for your selected suburbs (e.g., Manly, Long Jetty). I’ll build a Python-based scraper with fallback logic: direct structured extraction where allowed, and automated “view page source” HTML dumps per suburb when restrictions apply, ensuring continuity. The pipeline will normalize fields (suburb, address, property type, rooms, sold price, sale date, etc.), deduplicate by address/date, and append results to Excel or Google Sheets. You’ll receive clear step-by-step local run instructions (virtualenv setup, config, weekly execution, cron/Task Scheduler option) and clean logs. High professionalism, maintainable code, and reliable weekly operation guaranteed—happy to tailor suburbs and output schema exactly to your needs.

@HasanainAR

I read your project requirements and would be thrilled to collaborate with you. With expertise in Web Scraping and Data Extraction using Python, I specialize in navigating complex data structures and deliver efficient and scalable solutions. Let’s connect to discuss further

@wilfrednjorog

Hi there, I’ve read your brief , I’ll build a Python scraper to collect suburb, address, property type, rooms, sold price and sale/auction date from Domain or Realestate and include a fallback to ingest saved page-source files. I have experience with requests/BeautifulSoup, Selenium for dynamic content, and pandas/gspread to append weekly results to Excel or Google Sheets. If scraping is blocked I’ll add an option to dump raw HTML per suburb and a parser you can run with Perplexity-style extraction. I’ll deliver a runnable script plus step‑by‑step local instructions and a cron-friendly example to update the sheet each week. If that works I’ll start with the five suburbs (e.g., Manly, Long Jetty) and deliver in 3 days , Best regards,

@issamelimrany1

I experience with scraping a lot during my job, ll get you a working solution in no time, with the best undetectable stack.

@goodworld119

Hi there, I can develop a professional scraping script to extract the real estate data for the 5 suburbs using Selenium, Playwright, or another suitable tool, and deliver it within 3 days. The script will cleanly collect the required fields and automatically generate the results in a downloadable .xlsx (Excel) file for easy review and analysis. Let me know if you’d like it built as a one-time script or something reusable for ongoing data collection.

@EngrHamza3409

As an experienced full stack developer and data analyst with a strong emphasis in Python, I am confident in my ability to meet all the demands of your property data scraping project. Over the course of my 3-year career, I've become well-versed in extracting, analyzing, and managing large volumes of data from various sources. This includes efficiently scraping web data - exactly what you need for your project. I can create a script that will intelligently extract the required information from both websites, even if they have anti-scraping mechanisms in place. Aside from data extraction, I am skilled in handling raw HTML using Python libraries like Perplexity and subsequently storing the scraped data into Excel or Google Sheets. In addition, I can create detailed guides on how to run the script locally so that you can effortlessly collect updated property sales information every week. My experience extends not only to data scraping, but also to providing actionable insights through data analysis and visualization - which can be valuable for drawing trends and patterns from your property sales dataset. Ultimately, with me on board for this project, I will guarantee accurate results, efficient delivery while enabling you to leverage data for informed decision making.

@w6ri

I can deliver this project within 24 hours. I've built similar scrapers for real estate and data collection projects. I understand you need this running reliably each week, so I'll make it simple and foolproof for you to execute locally. Delivery: 24 hours from project start Revisions: Included until you're 100% satisfied Ready to start immediately. Let me know if you have any questions about the approach or need any clarifications on the suburbs list.

@AsherAli

I’ve built data extraction scripts for dynamic real estate platforms where structure, pagination, and anti-scraping protections need to be handled carefully. For your requirement, I’d create a Python-based scraper that targets the suburb-level auction results pages, extracts suburb, address, property type, rooms, sold price, and related fields, then appends clean data weekly into Excel or Google Sheets. If direct scraping is blocked, the script will support saving raw HTML (view-source equivalent) per suburb into text files, then parse those locally to extract structured data. I’ll include setup instructions (Python install, required libraries, how to run weekly via command line or task scheduler), and configure automatic append to an .xlsx file or Google Sheets via API. The solution will be reusable, lightweight, and easy to maintain. Regards, Qaiser

@Intelliglance786

Hi, I am skilled full stack developer with skills including Python, Google Sheets, Web Scraping and Data Extraction. After reviewing the project requirements, I found the project perfectly match my experience and skills. Having previously worked on similar projects, I'm confident I can complete this project perfectly. To move forward, Please contact me to discuss more regarding this project. Eager to hear your feedback

@SEOGlobalLLC

Hi there, You need a reusable local script to collect auction results data (suburb, address, property type, rooms, sold price, etc.) from Domain or RealEstate for five specific suburbs, with fallback HTML source capture if scraping is restricted, and automatic weekly appending into Excel or Google Sheets. SEO Global Team has strong experience in Python-based data extraction, structured parsing from dynamic HTML sources, automation workflows, and building maintainable scripts with clear local execution documentation. We will develop a modular Python scraper with suburb-based input configuration, implement structured data parsing and fallback raw HTML export logic, append cleaned results into Excel or Google Sheets, and deliver step-by-step setup instructions so you can run it weekly without issues. Do you prefer Excel (.xlsx) output only or Google Sheets API integration as well? Are you running this on Windows or macOS? Would you like automatic deduplication of previously captured records? Best regards, Aaron SEO Global Team

@matthewc358

Hi there — I can help you collect weekly auction results for your 5 suburbs (suburb, address, property type, rooms, sold price, sale date, etc.) from Domain or RealEstate and append them into Excel or Google Sheets. I’m a solo Python automation developer, and I’ll deliver a script you can run locally each week with simple “run” steps. If scraping is blocked, the script will auto-save the “View Page Source” HTML into text files per suburb so you can extract from raw HTML as a backup. I’ve done similar jobs where I scraped changing listing data weekly and pushed it into Sheets for tracking. What are your exact 5 suburbs, and do you prefer Excel file output, Google Sheets, or both?

@aliahmeddar007

Hello, I just reviewed your job details and can start immediately. I specialize in data extraction and web automation with proven expertise in Selenium, BeautifulSoup, and API integrations. I can handle complex scraping tasks, including dynamic content, pagination, and anti-bot measures, ensuring clean and structured output. I have worked on projects involving real-time scraping, bulk data extraction, and API-based data collection. My workflow includes efficient error handling, rate-limiting compliance, and delivering results in formats like Excel, CSV, or database-ready structures. I ensure accuracy, reliability, and confidentiality in every project. Let’s discuss your requirements so I can start delivering results quickly. Thank You, Ali Dar

@Ammarrrrrrrrrr

Hi there, I am a Computer Science student and a Data Science enthusiast from Menoufia National University. While I am new to this platform and looking for my very first review, I am highly skilled in Python automation and Web Scraping. I can build a robust script for you that extracts the property sale dates, addresses, and prices from your target websites with 100% accuracy. I will ensure the data is perfectly structured and appended to an Excel or Google Sheet file as requested. Why choose me for your first project? Speed & Passion: Since I am building my reputation, I will deliver the script faster and with higher quality than anyone else. Clean Code: I use professional libraries like Pandas and BeautifulSoup to ensure the script is easy to run weekly. Clear Instructions: I will provide a step-by-step guide so you can run the file locally with ease. I am ready to start immediately and prove my skills. Let's get this done! Best regards, Ammar Kroush