B2B Real Estate Lead Scraper

@MQamar123

With more than seven years of experience in the field of software development and a particular fondness for programming, I bring a robust set of skills to this project that are perfectly aligned with its requirements. My proficiency in web scraping using technologies such as Node.js, Python, Selenium, and Beautiful Soup has been applied to a wide range of domains. When it comes to real estate data-mining, I have previously helped clients by extracting large volumes of accurate records from public sources and listing services. I also want to assure you that industry terminology is something that I am well-versed in. Being detail-oriented and committed to delivering high-quality outputs within tight deadlines has won me repeat clients. I'm confident that my blend of technical skills, experience in real estate scraping (data volume - 500K & accuracy rate - 99+%), market research proficiency, and ability to garner valuable insights would make me an excellent fit for your team. Let's start uncovering your next high-value b2b leads together!

@mariamz24

Hi, We would like to grab this opportunity and will work till you get 100% satisfied with our work. We are an expert team which have many years of experience on Research, Excel, Web Scraping, Data Mining, Market Research, Scrapy, BeautifulSoup, Data Analysis, Google Sheets Please come over chat and discuss your requirement in a detailed way. Thank You

@Hemantt841

With 7 years of experience in web scraping, market research, and sales-data analysis, I am the best fit to complete this B2B Real Estate Lead Scraper project. I have the relevant skills to provide a steady stream of industry-specific B2B leads within the real estate space. **How I will complete this project:** - I will start by setting up web scraping tools to pull fresh data from public sources and listing services like Tender Portal. - I will then conduct market research to verify decision-makers' names, roles, emails, and direct numbers. - Next, I will perform light sales-data analysis to spot buying signals and rank prospects by potential value. - The end product will be a clean, de-duplicated spreadsheet listing qualified real estate companies, key contacts, essential firmographics, and notable trends uncovered during data analysis. **Tech stack I will use:** - Web scraping tools such as Scrapy or Beautiful Soup - Market research tools like Crunchbase or LinkedIn Sales Navigator - Data analysis tools like Excel or Google Sheets I have worked on similar solutions in the past, delivering accurate and high-volume records for real estate clients. My expertise in industry terminology will ensure the quality of leads for your outreach campaigns. I am ready to start working on this project immediately and can be your permanent go-to person for all lead scraping requirements.

@collinsc11

Hello, I can help you gather and organize qualified B2B real estate leads. I have experience in research, Excel, and data organization. I will collect company details, verify decision-makers, remove duplicates, and deliver a clean and well-structured spreadsheet with key insights. I focus on accuracy and clear reporting. I am ready to start immediately and can deliver within 7 days. I can also provide a small sample of research format before starting, if required. Thank you, Collins

@ayushkr1891

Hello! I see you are looking for a hybrid expert who can scrape, verify, and analyze real estate leads. With my background in Python-based web scraping (BeautifulSoup/Scrapy) and Data Analytics, I can provide a workflow that goes beyond a simple list of names—I deliver actionable sales intelligence. How I will execute this workflow: Automated Scraping: I will build custom scripts to monitor Tender Portals and listing services. This ensures we capture fresh data as soon as a new project or bid is announced. Sales Signals & Analysis: Using Excel/Power BI, I will rank your prospects. For example, a company winning multiple small tenders might be a higher-value target than a larger firm with no recent activity. Data Integrity: I use SQL logic to de-duplicate records and ensure the firmographics (company size, revenue, project type) are 100% accurate. Relevant Experience: Tools: Python (Scrapy, BeautifulSoup, Pandas), SQL, Power BI, Google Sheets. Accuracy: I maintain a 98%+ deliverability rate on emails by cross-verifying through multiple sources. Insights: I can provide an "Insights Tab" that highlights which regions or project types (Residential vs. Commercial) are showing the most tender activity this month. Looking forward to helping you fill your pipeline. Best regards, Ayush Kumar

@sadiatasnimj

I am a dedicated Data Entry Specialist and Data Collector with over 3 years of hands-on experience in this field. I have strong expertise in Web Scraping, Data Analysis, and Google Sheets with high accuracy and efficiency. I am highly motivated, detail-oriented, and always ready to provide reliable support. If you need professional assistance in data entry, data collection, or Google Ads management, I would be glad to work with you.

@officialking591

Hello, Thank you for sharing this opportunity. I’m interested in supporting your team with consistent, high-quality B2B real-estate leads using a combined workflow of **web scraping, market research, and data validation**. I have experience scraping and building lead lists for real-estate service providers, construction vendors, and property-related businesses, delivering **2,000–15,000 verified records per project** with an average **90–95% accuracy rate**. What I can deliver for you: * Scraping from public sources, listing platforms, and tender portals * Verification of decision-makers’ names, titles, emails, and direct numbers * De-duplication and data cleaning * Light analysis to spot buying signals and rank prospects * Excel or Google Sheets file with a separate **Insights/Trends** tab I understand real-estate terminology and how critical clean data is for outreach campaigns. I’m open to a **long-term partnership** and can become your permanent go-to person if we’re a good fit. Happy to share a sample format or discuss your target regions and ideal decision-maker roles. Best regards, Hardik