One-Time Data Extraction (3660 Records) – Professional Registry - Urgent -- 2

@pandey2008

Architeitti Hello, we can gather all data and also start work right now, awaiting your answer, thank you..........................

@bktk

Architeitti Hello there! I will extract 3660 data from the given link with software right now with 100% accuracy. I am offering a free sample before awarding the project. Can you please open a chat box to discuss the project in detail? I hope you will consider my bid. Just waiting for your response. Thanks.

@AbhishekSingh08

Dear Hiring Manager, As an experienced Full-Stack Developer with a strong background in data extraction and scraping, I am confident that I can precisely extract the required 3660 records from the professional registry within your given timeline. Working with Python libraries like BeautifulSoup, Selenium, and Scrapy on numerous occasions, I have gained hands-on expertise in handling complex web pages including ASP.NET ones like the website you have mentioned. I clearly understand the importance of clean and concise data. I assure you the extracted information will be delivered to you efficiently and accurately in either Excel or CSV format as required. In addition, my proficiency in dealing with pagination ensures that no data is left unattended as I systematically traverse through each page and detail section to gather every field available for each architect professional.. Looking forward to working with you. Best Regards, Abhishek

@mattafareed4848

Architeitti I can handle this task within the $30 fixed budget and 2-day timeline. I will scrape both ASP.NET directories using Python with Playwright/Selenium to reliably handle server-rendered content and pagination. Pagination will be managed by detecting and iterating through page parameters or pagination controls programmatically, ensuring all result pages are covered. Each professional’s detail page will be opened individually to extract only publicly visible fields (Nome, Cognome, Indirizzo, City, Telefono, Email 1, Email 2). Data will be cleaned, deduplicated, structured into agreed columns, and delivered in Excel or CSV format with one professional per row and no merged cells. Regards Muhammad

@muthujohn

Architeitti : Hello, I’m Muthu. I’ve reviewed your project and it’s a great fit for my team. I have a dedicated Back end team available, working 24/7 with strong quality control. Ready to start immediately—let’s discuss.

@mahrsaad211

Architeitti As a highly experienced web scraping freelancer with an extensive proficiency in data extraction, data processing, and Python programming, I fully believe that I am the best fit for your project. I've handled countless similar projects where meticulous data extraction was required from differentiated sites like the one you shared. With a keen eye for detail and thoroughness at every step, I will flawlessly extract the required information including Nome, Cognome, Indirizzo, City, Telefono (residenza / contatto), Email 1, and Email 2 with zero duplicates. I'll strictly adhere to your timeline of 2 days and budget of $30 while presenting all your extracted data in an error-free and clean Excel or CSV format. My expertise in pagination handling guarantees unhindered navigation through ASP.NET (.aspx) sites like the ones you've mentioned. I explore various advanced python libraries such as BeautifulSoup, Selenium for such complex tasks and ensure complete accuracy of the extracted information. Considering my dedication, reliability in communication, skill-set, strong analytical ability to handle vast amounts of data while maintaining their quality intact, offering me this project would be utilizing top-notch professional expertise for excellent results. Let’s kickstart this project together! Don’t hesitate to reach out if you have any queries or need further clarification!

@faisal702

I can use Python with Selenium or Playwright to handle pagination and reliably extract the required data from the specified websites. I’ll ensure the data is clean, properly structured, and delivered in Excel or CSV format within the 2-day timeline.

@davig63

Hello Heshan P., We would like to grab this opportunity and will work till you get 100% satisfied with our work. Please come over chat and discuss your requirement in a detailed way. Thank You

@MarcusCMP

Hey — saw your post about extracting 3660 architects from those ASP.NET registries. With sites like this, the usual headache is reliable pagination plus opening every dettaglio page without missing or duplicating records. Quick question: on your side, do you prefer a single combined file for both Florence and Rome, or two separate files with a shared column structure? I’d handle pagination by simulating the site’s paging mechanism (either via Selenium/Playwright clicking through each page, or by reproducing the ASP.NET __VIEWSTATE / eventTarget requests if the pattern is stable), then programmatically opening each professional’s dettaglio link. From each detail page I’d parse all visible fields (Nome, Cognome, Indirizzo, Città, Telefono, Email 1, Email 2), normalize them into a clean schema, deduplicate, and export to Excel/CSV with one professional per row and no merged cells. I’ve done similar ASP.NET directory scrapes before where I had to reverse-engineer VIEWSTATE-based pagination and still deliver a clean, de-duplicated CSV meeting strict formatting rules. If you send any sample row/column layout you prefer, or a quick screenshot of how you’d like the Excel structured, I can align the columns before extraction. If awarded, I’ll map requirements, propose milestones, and share a first deliverable within 48 hours so you see momentum immediately.

@temciucv

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 Python, Data Processing, Web Scraping, Software Architecture, Data Mining, Scrapy, Data Scraping, Data Extraction, BeautifulSoup Please come over chat and discuss your requirement in a detailed way. Thank You

@JHancov

This project aligns perfectly with my area of expertise! I understand you need clean, professional, user-friendly data extraction from ASP.NET sites with seamless pagination handling and integrated detail page scraping. Delivering automated, duplicates-free Excel or CSV files with structured columns is exactly what I do. While I am new to freelancer, I have tons of experience and have done other projects off site. I create solutions that truly work using Python with Selenium or Playwright for reliable, automated extraction. I would love to chat more about your project! Warm Regards, JHanco

@justmian876

Architeitti! I've thoroughly read through your project details and I am confident I'm the perfect fit for this job. As a Full-Stack Web Developer leading BN-Droids Digital Services, my skills extend far beyond just coding dynamic websites. I am highly experienced in web data scraping, having extracted over 1 million data entries daily and maintained a vast database of more than 20 million retail data points across numerous countries – including those tricky ASP.NET pages you mentioned.

@EtienneEdgar

Hi heshanz, I noticed you need data extraction from architectural professional registers. I specialize in turning complex data into streamlined, usable formats. In my role at Eikenbosch Living, I delivered precise projects with measurable results. I aim to simplify your process. Before finalizing details, let's clarify if you have specific assets ready or if I should include them. This ensures a transparent and cost-effective solution. I've estimated that this project could save you X hours/costs compared to standard methods. Although new to freelancer.com, my experienced team has a proven track record of delivering similar projects with tangible improvements. To secure your spot in my schedule, let's discuss details soon. Looking forward to driving growth for your business. Best regards, Etienne [Note: This bid is tailored to the project requirements provided.]

@datahub0

Architeitti I can scrape both ASP.NET directories using Python (Selenium/Playwright), handle pagination reliably, open each detail page, and extract all publicly visible fields into a clean, deduplicated Excel/CSV within 2 days. I’ve handled similar server-rendered, paginated directories before and will keep the structure exactly as agreed. I confirm the fixed price of $30 and full compliance with the requirements. Would you like me to share the proposed column structure before starting, or proceed directly with extraction?

@annearcana

Architeitti I’ve reviewed the registry pages and agree with the full scope, fixed budget of $30, and 2-day timeline. Approach: • Handle pagination by iterating through all result pages on the search listings • Open each professional’s detail (“dettaglio”) page individually • Extract only publicly visible fields as listed (Nome, Cognome, Address, City, Phone, Email 1/2) • Normalize and clean the data, remove duplicates, and deliver one professional per row The site is ASP.NET and server-rendered, so this can be handled reliably without client-side JS scraping. I will use a controlled Python-based approach to ensure completeness and consistency across all records. Output: • Excel (.xlsx) or CSV as requested • Clean column structure, no merged cells • One row per professional, no duplicates Column structure can be confirmed before extraction. I can start immediately and deliver within 2 days. Best regards, Ann-Christin