Real Estate Data Scraper

@vano101

Hello I have completed similar project about year ago, there were scraping real estate data from one portal And there were dynamically loading elements, therefore I am sure I can complete your project too. Could you share URL of site to scrap data from? Thanks.

@axiomswb

Pulling property descriptions, price listings, and agent contact details from a leading property-listing site into a gap-free file — that is exactly what this covers. Here is how I will hit your three acceptance criteria: Playwright handles the dynamic rendering so lazy-loaded listings are never skipped. A basic requests-plus-BeautifulSoup approach would silently drop those records, which breaks criterion one before the crawl even finishes. Pagination and listing-level crawl logic captures every live listing at crawl time, not a sample. Record counts appear in a run-log so you can verify completeness yourself without opening the output file. Post-extraction validation flags any record with a blank description, missing price, or absent agent contact before writing the CSV. Your acceptance criteria are literally baked into the script as exit conditions. One problem worth flagging early: some property sites rate-limit aggressive crawlers or serve CAPTCHAs after a threshold of requests. I will build in randomised request delays and rotating user-agent headers from the start so the crawl completes without being blocked mid-run. One question: is the agent contact data visible in the raw HTML, or does it appear only after a user interaction like clicking a Show Number button? That changes the extraction approach significantly. Delivery: 3 days, 6300 INR.

@ParasTech7

Hello, I have 21 years of experince, IIT grad and Principal Software engineer, I can build a reliable web scraper that accurately extracts descriptions, price listings, and agent contact details**, while handling both static content and dynamically loaded elements. Robust scraper (Python or PHP) with clean, maintainable code Support for JavaScript/lazy-loaded content to maximize data capture Structured output (CSV/Excel/JSON) with complete and correctly mapped fields Cross-platform compatibility (Windows & Linux) with clear setup instructions *Early identification of any anti-bot measures or site structure challenges, along with practical workarounds I focus on building reliable, production-ready scraping solutions that are easy to maintain and rerun as needed.

@mahads31

As an experienced technology professional, I fully understand the needs and demands of extracting complex data from property listing sites. My extensive background in Data Management allows me to navigate through various structures efficiently ensuring that no essential information is left behind. Using Python and PHP, I will build a robust solution that adapts to any site structure, effectively pulling property descriptions, prices, and contact details for agents while handling both static and dynamically loaded content. Moreover, I've developed a concerned expertise in delivering automated solutions by utilizing API endpoints and integrating with multiple platforms. This will enable me to create a system that runs seamlessly on standard Windows and Linux machines with only the stated dependencies. I believe my service is distinctive because it amalgamates precision, scalability, and your business vision into one effective solution. By choosing me, you're not just investing in functionality but also a long-term partnership that ensures your evolving data gathering needs are met smoothly and completely!

@shayankhan333

Dynamic listing sites almost always lazy-load agent details inside separate XHR calls, so a headless browser alone isn't enough. I'll intercept those underlying API requests directly, which is faster and far less likely to break than waiting on DOM renders. I'll build the scraper with Playwright for the initial crawl, capture the hidden API endpoints for agent and price data, and export everything into a clean CSV with zero blank fields. The script will run on any standard Windows or Linux machine with Python and a single install command. One thing worth flagging early: if the site uses fingerprint-based rate limiting, I'll add request throttling and rotation so the crawl finishes without getting blocked mid-run. 1. Which property-listing site is this targeting? Happy to talk details in chat. Shayan

@Mokshith30

Hello, Hope you're doing well. I've read your requirements regarding the automation/webscrapping with help of excel vba/python. Please go through my previous work as i have good experience in vba automation & python. Please ping me if you're interested to proceed with me and i can finish it in 1day.

@chintu83

Hello there, I have done similar work earlier for my many client's with 100% satisfaction, Let's initiate chat, I can start your project right now with 100% accuracy and within time deadlines. I am happy to provide you a sample work. Please let me know. Thank you.

@prashanpatel557

Hello, I can build a reliable Python scraper that extracts property descriptions, price listings, and agent contact details while handling both static HTML and dynamically loaded content. I have experience developing web scraping and data extraction tools using Python, Selenium, Playwright, BeautifulSoup, and Pandas, with robust error handling and clean, maintainable code. The scraper will: - Extract all required listing data with accurate field mapping. - Handle lazy-loaded and JavaScript-rendered content. - Export the results to CSV/Excel with no mismatched or blank fields. - Include logging, retry mechanisms, and clear setup instructions. - Run on both Windows and Linux using only documented dependencies. Before we begin, could you please share the target property website? I’ll first verify its structure and any anti-bot protections, then recommend the most reliable scraping approach. I’m ready to start immediately and deliver a well-documented, production-ready scraper with clean source code and deployment guidance.

@FreeLancers360

Hi, Thanks for posting "Real Estate Data Scraper" — it lands right in our wheelhouse, and we'd be thrilled to bring it to life. My goal isn’t simply to finish the task, but to give you real, lasting value for every bit you invest in it. From your brief I can see this involves scraping, web scraping, data processing — all areas we handle in-house. We specialise in PHP, Python, Data Processing, Web Scraping, which lines up directly with what you need. How we'd approach it: - Define the exact fields, sources and output format - Build the collection / processing pipeline - Validate accuracy and clean the data - Deliver in your preferred format with a short summary I also noted you don’t need missing records — that’s clear, and I’ll keep the work clean and strictly on-brief. I’ll fold in your feedback fast and keep refining until the result feels exactly right to you. Send over any references you have and I’ll come back with a clear plan and milestones. Best regards, FreeLancers360 Let’s connect in chat and get started — message me anytime and I’ll reply right away!

@Algokage

Hello, I hope you're doing well. With over five years of experience in web scraping and data extraction, I've handled projects involving dynamic content and complex site structures, making me a good fit for your real estate data scraper needs. I understand the requirement to capture property descriptions, price listings, and agent contact details from a leading property-listing site, ensuring all live listings are included without missing records or mismatched fields. My approach involves using a combination of HTML parsing and dynamic content handling techniques to scrape both static and lazy-loaded elements, delivering a reliable script that runs seamlessly on standard Windows or Linux machines with minimal dependencies. I prioritize clean, well-documented code to ensure the solution is maintainable and scalable, and if any site structure issues arise, I'll communicate them early to ensure we can address them together. If you'd like to discuss this further or see relevant samples of my work, feel free to send a message. Thanks, Adegoke M.

@alluankit01

Hi, I can build a reliable Python scraper that collects property descriptions, prices, and agent contact details from the target real-estate site, including dynamically loaded and lazy-loaded content. The best solution is to first inspect the site structure, pagination, API calls, and anti-bot behavior, then choose the lightest reliable approach using Requests/BeautifulSoup for static pages and Playwright or Selenium only where JavaScript rendering is required. I’ll add pagination handling, retries, duplicate checks, field validation, logging, and export to CSV/Excel or JSON. I’m comfortable with Python, BeautifulSoup, Playwright, Selenium, REST/JSON endpoints, dynamic-page scraping, data cleaning, validation, and Windows/Linux deployment. Deliverables will include: * Complete scraping script * Static and dynamic content handling * Description, price, and agent details * Pagination and lazy-load support * Duplicate and missing-field checks * Retry and error logging * CSV/Excel or JSON export * Requirements file and setup guide * Windows/Linux testing I’ll focus on complete, accurate extraction from publicly accessible pages while respecting the site’s terms and access limits. Any structural or access issue will be identified early with a clear workaround. Best regards Ankit

@thiagofoz87

I can build a scraper focused on reliability and completeness for the target property-listing website, including support for dynamically loaded content and lazy-loaded sections that standard HTTP scraping usually misses. The approach would combine browser automation for rendering dynamic elements with structured extraction logic to capture property descriptions, pricing data, and agent contact details consistently across all live listings. I would also include validation checks to reduce mismatched or empty fields before export. To meet the acceptance criteria, the scraper will: - Traverse all active listing pages available during the crawl - Handle pagination and delayed content loading - Extract normalized text data for the required fields - Export results in a clean structured format such as CSV or JSON - Run on Windows or Linux with clearly documented dependencies and execution steps Before implementation, I will review the target website structure for anti-bot protections, hidden API calls, or rendering limitations. If there are risks related to rate limits, CAPTCHA, or blocked requests, I will flag them early and propose practical workarounds. Delivery includes the executable scraping script, setup instructions, and a short validation pass using sample output to confirm extraction quality.

@rohank2502

Hi — I build resilient web scrapers daily (Python; clean CSV/JSON output). For a real-estate scraper I will handle pagination, dedupe, and structured fields (price, location, beds, agent), with retries so it does not break when a site changes layout. I can deliver a working scraper plus a clean data feed fast. Happy to confirm the target sites and the exact fields you need and start right away.

@himanshubisht001

Hi, I can build a reliable scraper to extract property descriptions, price listings, and agent contact details with accuracy. The scraper will handle both static and dynamic content, ensuring complete data collection with no missing or mismatched fields. I'll provide a clean, well-documented script that runs smoothly on Windows or Linux using only the required dependencies. If I identify any challenges with the site's structure, I'll communicate them early so we can find the best solution together. I'm ready to start immediately. Regards, Himanshu Bisht

@gianniszagoritis

The key challenge here isn't scraping itself—it's ensuring dynamically loaded listings are captured completely and mapped accurately without missing descriptions, prices, or agent contacts. I'll first analyze the site's structure, then build a reliable scraper that handles lazy-loaded content, validates extracted data, and runs smoothly on both Windows and Linux with clearly documented dependencies. If I identify any structural limitations early, I'll communicate them immediately so we can decide on the best approach together. Thank you for considering my proposal.

@sanddep5

I'm Sandeep, and I'm the guy you need for your Real Estate Data Scraper project. With proven expertise in Data Analysis, PHP, and Python, I have built and fine-tuned countless scripts to crawl websites efficiently for valuable data—just like what you need. Being armed with this specific knowledge allowed me to identify any red flags in website structures before they cause major issues, saving a lot of time and effort for my clients. Moreover, my extensive experience in Full-Stack Development makes me more than familiar with handling both static HTML and lazy-loaded content without skipping records or fields. Your success is my priority, which is why I aim for the highest degree of accuracy possible while delivering time-sensitive projects like yours. Additionally, foresight and good communication are vital in projects like yours. Encountering obstacles doesn't mean the end of the road; it means finding a strategic way around them together. I don't just bring skills to the table—I bring trustworthy partnership and deep passion for creating scalable solutions that drive real business growth. Let's make your project a success!

@VatsalGabani

Hi, I can develop a reliable scraper that extracts property descriptions, price listings, and agent contact details accurately from your target property website. You'll receive: - Clean, well-documented source code - Export to CSV, Excel, or JSON (your choice) - Windows and Linux compatible solution - Easy setup instructions with all required dependencies - Support for future updates if the website structure changes The scraper will handle both static and dynamically loaded content, ensuring all available live listings are captured with complete and correctly matched data. I'll also implement proper error handling, retries, and data validation to maximize accuracy. I have experience building web scrapers using Python, Selenium, Playwright, and BeautifulSoup for dynamic websites and can start right away. Looking forward to working with you!

@petropankovdev

Hi — I build Python scrapers for exactly this kind of property-listing site, so your three targets (descriptions, price listings, and each agent's contact details) are well within what I do. For the parts that load dynamically I render the page fully with a headless browser (Playwright) before extraction, and parse the static HTML directly where it's already present — so no record is missed whether it appears on first paint or on scroll. I add a per-field validation pass so the file has no blank or mismatched values (your acceptance #2), plus a completeness check that counts live listings against what actually landed in the output (acceptance #1). Concrete first step: point me at the target site and within a day I'll send back a 20-30 row sample from the live pages, so you can see the exact structure and field quality before we commit to the full crawl. The finished script runs end-to-end on a plain Windows or Linux box with only the stated dependencies. If any part of the site's structure looks fragile — anti-bot, inconsistent markup — I'll flag it early, as you asked. 5000 INR, 4 days. Petro Pankov, BotCraft Group

@ridwaan6254

IF YOU'RE NOT HAPPY, YOU DON'T PAY. I recently completed a data scraping project that successfully collected over 5,000 listings from a dynamic website, ensuring all fields were accurate and complete. I understand the importance of capturing property descriptions, price listings, and agent contact details from a consistently structured site, even with dynamic loading elements. I will create a robust scraper that efficiently handles both static and lazy-loaded content, guaranteeing no records are missed and all fields are filled correctly. I focus on good planning, clean and maintainable code, clear communication, on time delivery, and reliable long term solutions. Together, we can address any structural concerns and deliver a high-quality solution. If this aligns with your project, feel free to reach out to discuss scope and pricing. WORST CASE SCENARIO YOU WALK AWAY WITH A FREE CONSULTATION. Regards Ridwaan M