Scrape Kerala RERA Agents Data

@saqibmunir55

hi i have scraped data from rera sites in past for eg https://www.freelancer.com/projects/web-scraping/Rera-Website-Agent-Data-Extraction send me site, I will scrap and provide you data.

@ashinnd84

Hello there, we are a team of Full Stack developers and we can Web application. Please, send me the project complete details to start the work and finish in no time. Thanks Ashish Kumar.

@mattafareed4848

Hello, valued partner, I am well-versed in navigating dynamic government portals like the Kerala RERA site and can efficiently scrape your requested agent data while handling pagination and JavaScript requirements. I will deliver a clean, deduplicated Excel file with precise mapping of names, contacts, and addresses as requested. I am ready to implement a polite and robust extraction process to provide the high-quality results you need. Regards Muhammad

@muneeb6767

Hi, I’m Muhammad Muneeb, a professional web scraping specialist with strong experience extracting structured data from dynamic government portals. I can efficiently scrape the Kerala RERA site, handling pagination, JavaScript-rendered tables, and hidden rows using a robust automation stack (Scrapy/Selenium or Playwright). I’ll deliver a clean, fully deduplicated Excel (.xlsx) file with clearly structured columns (Name, Phone, Email, Address), ensuring UTF-8 compliance and zero blank placeholders. My approach focuses on accuracy, polite scraping (rate limiting, retries), and consistent formatting for immediate usability. I’ll also provide a concise note documenting the scraping logic and any site-specific constraints encountered. Expected turnaround: 1–2 days depending on data volume. Do you have a preferred format for phone/email normalization or should I standardize them?

@arslanshahid386

Hi there, I see you're looking for a one-time extraction of registered agents from the Kerala RERA portal, focusing on their names and contact details. With 4+ years of experience in web scraping, I can effectively gather the data you need while ensuring it’s clean and well-organized. I plan to use a combination of tools like BeautifulSoup or Scrapy to handle any pagination and JavaScript-rendered elements, all while respecting the website's scraping guidelines. Once I extract the data, I will compile it into an Excel workbook with clearly labeled columns, ensuring it's free of duplicates and any blank entries. Additionally, I'll provide a brief note about the scraping process and any constraints I encounter. What specific challenges have you faced in previous scraping attempts? Best regards, Arslan Shahid

@nadeeshancooray

As an experienced full-stack developer with a strong background in web scraping, I believe my skills and expertise align perfectly with the requirements of your project. Over the past 6 years, I've cultivated a deep understanding of various web scraping tools and frameworks, such as Python's BeautifulSoup and Scrapy as well as JavaScript frameworks like Node.js. I am highly adept at handling pagination, hidden rows, JavaScript-rendered tables, and employing techniques to respect polite scraping practices. Moreover, having worked extensively with multiple database management systems like MSSQL, MySQL, SQLite, PostgreSQL, and MongoDB, I can ensure that the extracted data is fully de-duplicated. My proficiency in generating high-quality results aligns well with your need for accurate and tidy formatted data in an Excel workbook. Lastly, my commitment to delivering exemplary work combined with my fluency in English enables me to maintain clear and effective communication throughout the project. This ensures that your needs are met to the highest standards. I am ready to embark on this Kerala RERA data extraction journey with you!

@Hrolgar

Kerala RERA's agent registry tends to use session-bound pagination, where each page request needs a token from the previous response. Standard scrapers choke on that, which is probably why you're looking for someone who's dealt with it before. I'd use Python with Playwright to handle the token flow, then pipe the results into a clean structured export. One-time run, no fragile scheduled job you'd need to maintain. Deliverables: - Working scraper for the Kerala RERA agent listing - Full dataset export (CSV or Google Sheets, your call) - Brief note on any rate limits or blocks encountered INR 1500, delivered in 2 days. Three quick things before I start: what's the target URL you want scraped? Are there specific fields beyond the standard agent listing you need (license status, contact details, registration date)? And do you want CSV or Sheets output?

@digilogies

We can do your project perfectly and timely. As one of the top 3% in Global Talent and a full-stack developer with a specialization in web scraping and APIs, I am confident that my skills and experience make me the perfect candidate for this project. With over 6 years in the field, I have completed over 850 complex projects successfully, all while respecting tight deadlines and ensuring strict adherence to client requirements - values that align perfectly with what you need. Let's start your project when you are ready or we can schedule a quick call or have a chat to discuss your requirements. You can check our recent portfolio and client feedback here: ⭐ https://www.freelancer.com/u/digilogies ⭐

@Ritesh11gupta

I'm excited about the opportunity to work on 'Scrape Kerala RERA Agents Data'. I bring technical expertise, a problem-solving mindset, and a commitment to delivering beyond expectations. I'm available right now and happy to jump on a call to discuss scope. Looking forward to collaborating with you!

@dmytrok83

Hello, As an experienced Full Stack and AI Chatbot Developer, my skills in JavaScript and Node.js will be instrumental in delivering your scraping project. Having worked with various web scraping tools such as Python (BeautifulSoup, Scrapy, Selenium) and Node.js, I am proficient at handling complex tasks like pagination, hidden rows, or JavaScript-rendered tables - exactly what you require for the extraction of Kerala RERA agents' data. While I've built AI-powered applications in various verticals such as EdTech & SaaS, Insurance and more with clean and tidy datasets similar to the one you need, I fully understand your need for accuracy and well-labeled columns in your extracted data. My attention-to-detail and the ability to produce clean, UTF-8 compliant data without any placeholders will ensure you receive a comprehensive Excel workbook that meets your requirements. Moreover, my experience working on projects demanding compiance with GDPR and other security standards signifies the respect I have towards scraping practices - an essential quality for any successful web scraper. In particular to this project, I have not worked with Kerala RERA portal before but this is where my problem-solving abilities come to play. Rest assured, I'll provide a comprehensive note sharing any site-specific constraints encountered along the way. So if you value a skilled practitioner who can not only handle tech intricacies but package it neatly int Thanks!

@eliam00

Hello, With my strong background in building efficient backend systems and REST APIs using JavaScript and Node.js, I believe I am an ideal candidate for your project. Scrape Kerala RERA Agents Data is a task that fits perfectly within my skill set, and I‘ve previously worked on similar projects involving web scraping and data extraction. Throughout my career, I have paid meticulous attention to detail to deliver high-quality, clean data in line with the client's requirements. Your specifications align perfectly with my approach, and my ability to handle pagination, hidden rows, or JavaScript-rendered tables will be highly valuable in this case. Additionally, I'm well-versed in using tools such as BeautifulSoup and Scrapy in Python, which are useful for this kind of web scraping task. Moreover, beyond developing robust backend systems for speed and scalability, ensuring accurate data output has always been a priority for me. I understand the importance of providing you with a deduplicated dataset that is consistent, UTF-8 compliant, without any placeholders or blank fields. Finally, being proactive in documenting site-specific constraints encountered during the scraping process will ensure effective communication between us, enabling you to continue working with the data easily. Let's get your 'Scrape Kerala RERA Agents Data' project done quickly and effectively. Thanks!

@usmansipra264

Hello, I understand that you're looking for a precise extraction of registered agents from the Kerala RERA portal, ensuring a clean and organized dataset. For this project, I will employ Python along with BeautifulSoup and Scrapy to navigate the site effectively, handling pagination and any JavaScript-rendered elements while adhering to best scraping practices. Here is what I will deliver: - An Excel workbook (.xlsx) containing one row per agent and clearly labelled columns for Name, Phone, Email, and Address - Data fully deduplicated, UTF-8 compliant, and free of blank placeholders - A short note on the approach and any site-specific constraints discovered during the scrape I can confidently complete this within your budget and timeline, and I will keep you updated throughout the process. Could you please confirm if there are any specific formatting preferences for the Excel file? Best regards

@pedrowilberthr2

Hello, I can deliver a clean, one-time extraction of every registered Kerala RERA agent, focusing only on Name, Phone, Email, and Office Address as displayed publicly. I will handle pagination, dynamic content, and any hidden rows using a robust stack (Python or Node.js with a headless browser or JS-rendering approach) and ensure UTF-8 encoding. The output will be a well-formatted Excel workbook (.xlsx) with one agent per row and clearly labeled columns: Name, Phone, Email, Address. I will deduplicate the data, remove blanks, and provide a concise note on the approach and site-specific constraints encountered. The deliverable will be ready within a tidy, production-ready package that you can immediately use for downstream processes.

@jazzyhuang

Hey — read through your post on scrape kerala rera agents data. I've done similar work with JavaScript, Python, Web Scraping recently. I can get a working version to you in about 1 week. What's the most important piece you'd want to see first? — Jazzy

@ishant786raj

I will perform a one-time, end-to-end extraction of all registered agents from the Kerala RERA portal using Python (Selenium + BeautifulSoup) to handle pagination and JavaScript-rendered tables. The scrape will capture only the required fields—Name, Phone, Email, and Address—while excluding irrelevant data. I will implement data cleaning, normalization, and strict deduplication to ensure accuracy. The final dataset will be UTF-8 compliant, free of null or placeholder values, and delivered as a well-structured Excel (.xlsx) file with clearly labeled columns. Additionally, I will provide a short technical note outlining the scraping approach, handling of site-specific constraints, and validation steps. Delivery within 4–5 days with thorough verification.

@Alaraby7

Hi There, Transforming HR into a proactive partner requires actionable workforce data. I specialize in building Power BI solutions that track turnover, identify flight risks, and reduce attrition costs. My Approach to Your Project: Data Preparation: Utilizing Power Query/SQL to seamlessly extract, clean, and integrate your HR data. Power BI Dashboard: Building an interactive tracker for headcount, attrition rates, and demographic trends to pinpoint the root causes of turnover. Proactive Insights: Highlighting high-risk departments so leadership can target retention and save on onboarding costs. Executive-Ready Design: Delivering a sleek, modern UI (including dark mode options) for quick, data-driven decision-making. I am ready to turn your HR datasets into intuitive, high-impact visualizations. Let’s discuss the specific flight-risk indicators you want to prioritize. Best regards, Alaraby

@jishnus26

Hello, I checked the Kerala RERA registered agents listing and confirmed that this is a good fit for a structured one-time scrape. The data is paginated, so I can extract it page by page and consolidate the required fields into a clean Excel workbook. I am a fullstack developer and can handle this using Python or Node.js, depending on the most reliable approach for the site structure. My plan is to extract only the required public fields — Name, Phone, Email, and Address — then clean the output, remove duplicates, and deliver a properly formatted .xlsx file. Deliverables: * Excel workbook with one row per agent * clearly labeled columns for Name, Phone, Email, and Address * deduplicated, clean UTF-8 compliant data * short note on the scraping approach and any site-specific constraints found I can complete this within 24 hours after the project is awarded. Best regards

@gloryvijitha4

Hi, I can handle a one-time, clean extraction of all registered agents listed on the Kerala RERA portal with a focus on accuracy, completeness, and structured delivery. **Scope understanding:** I will extract each agent’s **Name, Phone Number(s), Email Address(es), and Office Address**, strictly limited to publicly available data on the portal. No unnecessary fields (like license status or property listings) will be included. **Approach:** I’ll use a robust scraping setup (Python with Selenium/BeautifulSoup or Scrapy depending on site behavior) to: * Handle pagination and dynamically loaded tables * Capture hidden or JavaScript-rendered data reliably * Ensure polite scraping practices (rate limiting, retries, session handling) **Data quality & processing:** * Full deduplication of records * UTF-8 compliant formatting * Clean structuring with clearly labeled columns * Removal of blanks, placeholders, and inconsistent entries **Deliverables:** * A well-structured **.xlsx file** (one row per agent) * Columns: Name | Phone | Email | Address * A short technical note outlining the scraping method and any site-specific constraints Timeline: I can complete this within **1–2 days**, depending on the portal’s complexity and any anti-scraping mechanisms. If you have a specific format preference or need additional validation checks, let me know, and I’ll incorporate that. Looking forward to working on this. Best regards, Glory

@supratim2127

I am skilled in web scrapping, Python and other web scrapping libraries. With my past experience in data scrapping, I can complete this project within 2-3 days.