Realtor.ca Employee Data Extraction

@livegoodlife

Hello there, I am experienced in web scraping and building scripts or a Windows desktop application using Python. I am also experienced in large data scraping from a given website, bypassing IP, Captcha, and anti-bot or cloud flair protection. Please message me to discuss this project in detail. Best Regards Enamul

@bilalmaher053

Hey, can i sen u sample in chat?

@lisamarlen168

Hi, I am Noyon from Global Service 24/7. I have experience with web research, data extraction, and automated data collection workflows. here total 1,038 REALTORS. I am ready to start now.

@justmian876

As an expert in data extraction and management with a proven track record of success, my team at BN-Droids Digital Services brings to your project invaluable skills borne out of 5+ years of solid experience. We have built and managed colossal databases, collected 20+ million business records, and processed over a million daily data records, all with remarkable accuracy and efficiency - this is the depth of capability that your project demands.

@sunmoon25

Hello I have got US and Canada based realtors ready list. You can use that. Pls contact me inbox so that I can show you samples. Thanks.

@TanvirKhanPaple

Hi there, Project is very clear to me and I have experience with web scraping, data extraction, and automation. I can provide a simple solution to extract the REALTOR names daily and deliver the data in your preferred format. Just message me I am ready to start now and I will send a sample before start. Thank you.

@hiberokpars

Hello! I will create a PHP script to scrape data you need I have extensive experience in writing PHP scripts for data scraping Please see my reviews for reference.

@kayemhussain

Dear hiring manager ,, Fully understand your requirements & already check your attachment website and video , I can provide you extract 1,038 REALTORS ball information from this web page ,i am ready to start your work now & deliver to you within next 8 hour. Thanking you M A Kayem Hussain

@mattafareed4848

Hi, I can create a simple and reliable solution to extract REALTOR names from the page automatically each day. Depending on your preference, I can provide a Python script, spreadsheet automation, or a no-code workflow that exports the names to Excel/CSV with minimal effort. I have experience with web scraping, data extraction, and automation projects and can ensure the solution is easy to use and maintain. Best, Muhammad

@Imranatmoon

I wrote python script to scrape REALTORS/Employee. it scrapes a bunch of 50 employees in single requests so it would make around 20 request to collect 1000 employee and save data to excel file the collected data is Name, Title, Phone and profile link url Available for discuss and ready to submit script.

@chintu83

Hello there, I have done similar work earlier for my many client's with 100% satisfaction, INBOX ME FOR DETAILS, 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.

@ranawaqarlx

Dear Client, Have a great today! I checked given link and I can scrape all details REALTORS as per your requirements in spreadsheet with 100% accuracy. I check the video. I am available now and will complete your work as soon as possible. Thank you, Regards

@Abuzar00

With over 5 years of experience in full-stack development and backend systems, I have ample knowledge and exposure to handling data extraction tasks like the one you require. The task involves web scraping, and I'm skilled with this, having accomplished several similar projects before. My experience includes working with massive amounts of data and ensuring optimum performance through efficient query optimization – a useful skill when dealing with such large datasets that need to be extracted daily. Furthermore, my proficiency in Excel and VBA automation will provide you with an added benefit for organizing the extracted data for your use, ensuring that they're clean, fast, and easily accessible. I understand how important it is to have accurate information at your fingertips, particularly in the real estate industry, where time is of the essence. My previous clients consistently rate my delivery as exceptional, showcasing my commitment to on-time delivery and ability to exceed expectations. To put it simply, choosing me guarantees you a problem-free solution tailored specifically to your needs. So let's work together on streamlining your data extraction process, so you can maximize efficiency for a better tomorrow.

@affifarizaa

Hi, I can help with this. After reviewing the page structure, the REALTOR names appear to be loaded dynamically and can be extracted automatically rather than copied manually each day. I can build a simple solution in Python (or Excel-compatible output) that visits the page, captures all REALTOR names across pages, and exports them to CSV/Excel with a single click. The script can also be configured to run daily and handle pagination so no names are missed. Once I review the video and your preferred output format, I can provide the fastest and most reliable approach.

@mdabu38

I have watched your video and understand the requirement. I can create a simple solution to extract all REALTOR names from the page daily with accurate results. The process will be easy to use and can export the data to Excel/CSV. Looking forward to discussing the details.

@Areeba514

Hey I can help you...! would you like so share more detail about it ? I already have a sample for you to show ... is it okay to extract data in csv or excel form?

@miguelcen64

Hi, ✅ Project Overview: I can create a reliable, repeatable solution to extract all realtor names from the EXP Realty page you shared. The script will allow you to run daily updates without manual effort. ✅ Approach: Using Python with Beautiful Soup or Selenium, I’ll scrape the listing data, handling pagination and dynamically loaded content. The output can be formatted into CSV or Excel, ready for your use. I’ll include error handling to manage potential page structure changes and ensure accurate, up-to-date data each run. ✅ Deliverables: Fully functional scraping script Clear instructions for daily execution CSV/XLS export of realtor names Optional automation setup via cron or Task Scheduler I have extensive experience in web scraping and data automation.

@LetsMake

Hello, I am a python expert, very familiar with web scraping and automation. I have checked the web page you shared, I can make script to pull data every day. let's start immediately Thanks

@AhmedAlzoghaly

Hello, I can build a reliable daily extraction workflow for REALTOR data from the specified page. You have two clear options: - Python Script: Using BeautifulSoup/Requests (or Scrapy if preferred) to handle pagination, parse agent details (name, phone, email), and save results in CSV/JSON or a database. Easy to schedule with cron or Task Scheduler. - n8n Workflow: A no‑code automation pipeline with HTTP requests + HTML parsing, triggered daily, with outputs sent to Google Sheets, email, or your preferred storage. Both approaches ensure fresh daily data, error handling, and clear documentation so you can run it independently. I will finish the project in less than 48 hours.