One-Time Data Extraction (3660 Records) – Professional Registry - Urgent

@maximg10

⭐Hi, I’m ready to assist you right away!⭐ I believe I’d be a great fit for your project since I have extensive experience in web scraping and data extraction using Python libraries like BeautifulSoup. With a background in software architecture and data mining, I am well-equipped to handle the technical complexities of this task efficiently. My technical expertise in web scraping will ensure accurate extraction of data from each professional's 'Dettagli' section, meeting your specific requirements for obtaining Nome, Cognome, Address, City, Telefono, and Email information for all 3636 records. I am committed to delivering clean, structured data in Excel or CSV format without any duplicates within the set timeline. This project addresses the critical need for one-time data extraction from a server-rendered ASP.NET site with over 3600 records, streamlining the process of accessing and organizing vital professional information for your registry. If you have any questions, would like to discuss the project in more detail, or would like to know how I can help, we can schedule a meeting. Thank you. Maxim

@Badhan685

Hi, I have read the job description and now ready to start. I will provide 100% quality. Please send me a message for discussion. Let's discuss the job. Thanks

@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.

@jovani81

 Hello, I’m a Python developer with hands-on experience in web scraping using Selenium, BeautifulSoup, and Playwright. I recently extracted 5000+ records from a complex ASP.NET site with server-rendered pagination and detail popups. The main challenge was handling dynamic “Dettagli” buttons while ensuring no duplicates and preserving clean Excel formatting. I solved this by automating pagination, waiting for detail sections to fully render, extracting only visible fields, and saving data row-by-row into CSV/XLSX. For your project, I will loop through all 182 pages, open each Dettagli view, parse the required fields, and output 3636 clean records exactly as specified. I agree to your $15 fixed price and 24-hour timeline. Thanks.

@HasanainAR

I read your project requirements and would be thrilled to collaborate with you. With expertise in Web Scraping and Data Extraction using Python, I specialize in navigating complex data structures and deliver efficient and scalable solutions. Let’s connect to discuss further

@mdabu38

I can extract all 3,636 records by handling the ASP.NET pagination (182 pages) and opening each Dettagli view to collect all publicly visible fields. I’ll use a reliable Python + Selenium/Playwright approach to ensure completeness and accuracy, and deliver a clean, duplicate-free Excel/CSV within 24 hours for $15 fixed.

@dominykasz1

Hello, Thank you for the opportunity to bid on this data extraction project. I will handle pagination by utilizing Python with Selenium or Playwright, which will allow me to navigate through the 182 pages and click the “Dettagli” button for each professional. For each detail view, I will extract the required fields (Nome, Cognome, Indirizzo, Città, Telefono, and Email) and ensure no duplicates in the final data. The data will be organized in a clean Excel or CSV format as requested, and the task will be completed within 24 hours. I agree to the budget of $15. Best Regards,

@Ravi0404

Proposal for ISI Formazione Professional Data Extraction I understand the project: extract 3,636 Italian professionals' contact details from the ISI Formazione directory by navigating 182 pages, clicking each "Dettagli" button, and collecting Nome, Cognome, Indirizzo, Città, Telefono, Email 1, and Email 2 into a clean Excel/CSV file. How I will handle pagination: I will use Python with Selenium or Playwright to automate the browser, looping through all 182 pages. For each page, I will extract the list of professionals, then loop through each row, click the "Dettagli" button, wait for the detail view to load, extract all required fields, and store them in a list before moving to the next professional. Once all pages are complete, I will write the data to Excel with clean columns and no duplicates. please open the dm and will discuss further