São Paulo Realtors CSV Scrape

@imraz2016

HI there already i have checked project details job is clear so please contact me then i will show you sample, thank you

@a4logic

Hello, With a decade of experience in web development, our team at Yasir Software brings a unique blend of creativity and technical expertise to the table. Our skills in PHP are particularly relevant for your São Paolo Realtors CSV Scrape project as we've successfully implemented similar website data operations in the past. We understand the importance of clean, reliable data and our meticulous approach ensures the highest accuracy. It's worth noting that we manage several large-scale projects effectively; no task is too daunting for us. To fulfill your requirements, we would start by rigorously scraping the official CRECI-SP search page - ensuring every agency is accounted for in the final CSV file. At the same time, we'll supplement any missing information from other reliable sources using Google and other effective research methodologies. Ultimately, we will deliver an impeccably organized, UTF-8 encoded CSV file complete with all mandatory columns as specified, including agency name, WhatsApp number (in international format), and email address. We are also ready to add any additional fields like street address or website that we can gather for enhanced completeness of your dataset. As a company that thrives on delivering exceptional results while providing top-notch customer service, we confidently say - with us you'll get more than just a project completion, you'll get a data resource that opens effortlessly in Excel and is re Thanks!

@gauravgargcs

Hello, Hope you are doing great, i am expert in web scraping , I can easily scrape all the target data from the website using Python or any other script so you don't have to spend any time or effort doing it manually. Plus, I provide quality results quickly and efficiently within your budget. Lets connect through chat for further detailed discussion, i can start the work right after the discussion., thank you Gaurav D.

@asifdwan

Hi there, I’ve reviewed the site and noticed that each listing is protected by CAPTCHA, which prevents full automation. The data points you need (agency name, phone number, and email address) are visible, but CAPTCHA must be solved manually for each entry. Because of this limitation and the volume involved (approximately 50,000 results), the process will take significantly more time than a typical automated scrape. Also, could you please confirm whether the requested phone number should specifically be a WhatsApp number, or if the standard listed phone number is acceptable? Once clarified, I can provide a realistic timeline based on the manual workflow required.

@Tanmoy236

Warm Hello! Thanks for confirming the details. Here’s how I suggest we proceed to make the CSV fully aligned with your goals: City scope: Limit to all neighbourhoods within São Paulo city proper, excluding the greater metro. WhatsApp field: Leave blank if not officially listed; do not auto-convert phone numbers to WhatsApp to ensure accuracy. Email preference: Include only business emails associated with the agency domain, avoiding personal addresses. Extra fields: Recommended to include for completeness: Street address Website URL CRECI registration number Main phone number (separate from WhatsApp) Once I have these clarifications confirmed, I can start compiling a fully verified, duplicate-free CSV in UTF-8 that opens cleanly in Excel and meets your criteria. Do you approve of including the extra fields, or should I stick strictly to the three mandatory columns?

@sabaehsan

Greetings, It looks like you’re looking for a comprehensive CSV file that lists all real-estate agencies in São Paulo, ensuring accuracy and completeness. I can help with that by starting with the official CRECI-SP search and then using reliable sources to fill in any gaps. This way, we can ensure that the final list is thorough and meets your requirements. With my experience in web scraping and data processing, I’ll carefully gather the necessary details, including agency names, WhatsApp numbers, and email addresses. I’ll also ensure that the CSV file is well-organized, with no duplicates, and is formatted correctly for easy use in Excel. I’m committed to delivering a clean and complete dataset that you can rely on. Best regards, Saba Ehsan

@giaphung2k1

Hello I will deliver a meticulously scraped, clean, and up-to-date CSV of São Paulo real estate agents and agencies. This comprehensive dataset will include essential contact information, ensuring high accuracy. My process prioritizes data quality and timely delivery. Let's discuss your specific requirements for a tailored solution. Giáp Văn Hưng

@hiberokpars

Hello, I will create a PHP script to automate your task. Please provide the details: the website URL, the list of fields to collect, or an example of the output. I have extensive experience in writing PHP scripts for automating data collection and posting. Please see my reviews for reference.

@tusharhossen123

Hi, I can do this project right now with 100% accuracy. If you need any sample please let me know. Thanks

@memontypist

Hi there, I see your São Paulo Realtors CSV Scrape project as an opportunity to blend my expertise with your needs. One of my core competencies is data scraping. I have a deep understanding of the tools and techniques required to extract accurate information efficiently. In line with this project, my experience in using Google, CRECI-SP search, and my suite of premium lead generation tools like LinkedIn Sales Navigator and Apollo, will ensure a comprehensive catalog of real estate agencies in São Paulo. Accuracy and eliminating duplicate entries are essential requirements for your project, which I value deeply as well. With my emphasis on providing 100% accurate and error-free work, no duplicate entries will make their way into the final deliverable. Thanks

@denisSolution

Hi client, I’ve carefully reviewed your job description and have strong experience in these Data Collection, Data Scraping, Excel, Data Management, Web Scraping, Data Entry, PHP and Data Processing. 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

@zafarfarooq612

Hello, I’m a detail-focused web researcher with experience building verified, ready-to-use business databases, and I can deliver a complete, up-to-date CSV of every real-estate agency listed for the city of São Paulo starting from the official CRECI-SP registry and enriching missing contact data through reliable sources such as Google and verified agency websites. I will ensure every record includes the three mandatory fields—Agency Name, WhatsApp number (international format, digits only), and Email address—fully populated, remove all duplicates, and perform validation checks with random spot-verifications against the source to confirm accuracy. The final file will be provided as a clean, UTF-8 comma-separated .csv that opens directly in Excel without additional formatting, with optional extra fields like address or website included where available, while strictly meeting all acceptance criteria. Regards, Zafar

@vikrant12112

Hi , I have gone through your project, São Paulo Realtors CSV Scrape, and I am ready to start working as soon as you confirm. I offer best quality and highest performance at a reasonable price, with on-time delivery. I’m well-versed in PHP, Python, CSS, HTML, JavaScript, jQuery, Bootstrap, Angular, AJAX, Laravel, WordPress, Web Scraping, Data Entry, Excel, Data Processing, PHP, Data Scraping, Data Management and Data Collection. I’d love to discuss the project further to ensure we’re aligned on the scope, timeline, and deliverables. Please let me know a convenient time for us to connect, and I’ll be happy to accommodate. Looking forward to work with you

@slavkom1

Hi, I saw your need for a clean CSV of all real‑estate agencies in São Paulo from the CRECI‑SP search. The task is clear: gather every agency, fill missing WhatsApp and email, and ensure the file opens correctly in Excel. I’ve done many scraping jobs mixing official registries with secondary sources, so I’m comfortable handling the data cleanup and duplicates. I’d go with: • Extract all agencies from CRECI‑SP • Cross‑check each one with Google and other sources • Collect WhatsApp, email, plus optional fields • Validate and remove duplicates • Deliver a UTF‑8 CSV ready for Excel I can start right away and wrap this up within a few days. Do you prefer that I standardize all phone numbers to E.164 format even if the source lists them differently? Greetings, Slavko

@johnallenvillan1

Hi there, I specialize in data management and web scraping. I will deliver a clean, up-to-date CSV file with all real-estate agencies in São Paulo as per the CRECI-SP search. Each entry will include Agency name, WhatsApp number, and Email address. I'll ensure no duplicates, accurate contact details, and ease of use in Excel. Let's get started on this project!

@mehranriaz0

Greetings, I see you need a comprehensive CSV file that lists all real-estate agencies in São Paulo, starting from the CRECI-SP database and supplemented with data from other reliable sources. My approach would involve extracting the information from the official registry and then conducting thorough research to ensure the contact details are complete and accurate. With my experience in web scraping and data management, I can ensure that the CSV will not only meet your requirements but also be free of duplicates and formatted correctly for easy use in Excel. I understand the importance of having accurate WhatsApp numbers and email addresses, so I'll perform random checks against the source to validate this information. I'm looking forward to delivering a clean, well-organized file that fits your needs perfectly. Best regards, Mehran Riaz

@Hubready

Hello! I am a Florida-based senior software engineer with extensive experience in frontend, backend, and data management. I've carefully read your project description and am excited to help you compile a comprehensive CSV of real-estate agencies in São Paulo. With about 15 years of experience, I've honed my skills in data scraping and automation, ensuring that the final output is up-to-date and clean. To make sure I'm aligned with your project goals, could you please clarify the following questions to help me better understand the project? 1. Are there specific data fields you'd like included in the CSV, such as agency name, contact details, and address? 2. Do you have preferred sources or websites from which you'd like the data to be scraped? 3. How frequently should the CSV be updated, or is this a one-time project? By understanding these details, I can tailor my approach to meet your needs effectively. My plan involves using robust data scraping tools like Python and Beautiful Soup to gather accurate information, followed by a rigorous data cleaning process to ensure quality. I've completed similar projects for local businesses and have a track record of delivering precise and reliable datasets. I'm eager to bring this expertise to your project and ensure its success. Looking forward to collaborating with you. -James

@muneeb6767

Got it — I can deliver a fully verified, de-duplicated UTF-8 CSV of all CRECI-SP São Paulo real-estate agencies with agency name, WhatsApp (international format), and email, enhanced with any missing data from reliable public sources and ready to open in Excel as-is.

@DigitaSyndicate

Reliability isn't a feature; it's a foundational requirement. I’m here to ensure it’s built-in from day one. Your objective to compile a comprehensive, up-to-date CSV of São Paulo’s real-estate agencies demonstrates a commitment to data accuracy and operational clarity that aligns with how we architect flawless digital systems at DigitaSyndicate. At DigitaSyndicate, a UK-based digital systems agency, we build precision-engineered automation and streamlined data solutions designed for reliability and future-proof scalability. Our execution prioritizes meticulous data validation and integration, ensuring your dataset remains clean, complete, and instantly usable across platforms like Excel without additional processing. We recently delivered a similar project aggregating complex registry data into dynamic, end-user-ready formats for a large property firm. Can you share your main priorities and timeline so I can map out the right execution plan for you? Casper M. Project Lead | DigitaSyndicate Precision-Built Digital Systems.