NZBN Data Collection

@pandey2008

Hello, we can collect all NZBN data and also start work right now just give us one chance we will do our best, awaiting your answer, thank you..............

@saqibmunir55

Hello, I can complete the NZBN data collection for all **1,859 records** accurately and efficiently. I have over **10 years of experience in web scraping, data extraction, and Excel data processing**, including projects where information must be collected from multiple pages of business directories and databases. I understand that the NZBN lookup requires opening the business record from the search results and then collecting the additional information from the detail page. I will capture: * Business Name exactly as shown * All Directors * Address for Service / Postal Address * Email Address * Phone Number * Business Type I can automate the repetitive lookup process while handling the two-page navigation and validating the extracted information. I'll also ensure the original NZBN list remains matched to the correct business and perform checks for missing or incorrectly aligned data. The final result will be provided in a clean Excel spreadsheet with the requested columns, including blank fields where information is genuinely unavailable. I have experience with Python, Requests, BeautifulSoup, Selenium, Playwright, Pandas, and Excel, so I can handle this much more efficiently than manual entry while still performing verification. I can start immediately and can provide a small sample first so you can verify the format and accuracy before I process all 1,859 NZBNs.

@lisamarlen168

Hi, I am Noyon from Global Service 24/7. I have extensive experience in web research, data extraction, and Excel. I can accurately search all 1,859 NZBNs, collect the required business details from both pages of the NZBN register, and deliver a clean, well-organized spreadsheet with all requested fields. I pay close attention to accuracy and am ready to start immediately. I can complete it in 2 days.

@asifdwan

Hi, I can accurately process all **1,859 NZBNs** and enrich your spreadsheet with the Business Name, Directors, Address for Service (or Postal Address), Email, Phone Number, and Business Type from the NZBN register. I have extensive experience with web scraping, data extraction, and Excel. I'll follow each record through the detail page, verify the information, and deliver a clean, well-structured spreadsheet with consistent formatting and no missing columns. I can also automate the process with Python for speed while performing manual quality checks to ensure accuracy.

@ShaikhAneesa

Hello, I have reviewed the project requirements for the NZBN Data Collection project and understand that you need to extract specific information from a list of 1859 NZBNs. Let's chat and discuss it further. To handle your project, I will start with automating the data extraction process using web scraping techniques. I will utilize Python with libraries such as BeautifulSoup and Selenium to navigate through the NZBN website and extract the required details accurately. By creating a custom script, I will ensure the efficient collection of business names, directors, addresses, email addresses, phone numbers, and business types for each NZBN. The deliverables for this project will include a comprehensive spreadsheet with the extracted information for all 1859 NZBNs. Before signing-off my bid, I would like to ask a question, i.e., how would you prefer the extracted data to be formatted and delivered to you? Best Regards, Aneesa.

@w3saddam

Hello, I can accurately process all 1,859 NZBN records and extract the business name, directors, address for service/postal address, email address, phone number, and business type from the NZBN lookup. I will ensure the data is complete, well-formatted, and delivered in a clean Excel or CSV file with each field in its own column. I pay close attention to detail and will verify the information across both pages where required. I'm ready to start immediately and deliver accurate, duplicate-free results within your deadline.

@kelvinm094

Hey I’ve reviewed your NZBN data collection task and I’m confident I can deliver a clean, accurate dataset quickly. With proven data processing and Data Entry experience, I will perform Data Mining to identify NZBN records, use Web Search to verify directors, addresses, emails, and phone numbers, and organize everything into a structured, auditable Excel sheet. I will ensure column alignment: Column 1 Business name, Column 2 Directors, Column 3 Address for Service, Column 4 Email, Column 5 Phone, Column 6 Business type, sourced directly from NZBN lookups. I’ll start immediately and deliver a first pass within 2 days for your review. Thanks, Freelancer

@NaderShehata

Hello sir, It seems that you want each NZBN on your list looked up on the NZBN register and the record details (business name, directors, address for service/postal address, email, phone, and business type) added into new columns. I'll automate the lookups with a Python script (Selenium to navigate the detail pages and requests/BeautifulSoup for faster pulls where possible), extract the fields you listed, clean the results, and deliver a spreadsheet (each NZBN matched to the six columns). I can handle clicks to open the detail page when data lives behind the name link and will validate records where fields are missing or masked. I can do this type of scraping and export to Excel/CSV (I’ve scraped large product sets and built spiders and automation using Selenium and Scrapy). Portfolio: https://www.freelancer.com/portfolio-items/7992622-web-data-scrapping Can you share more details about the project, such as: 1. Do you have the NZBN list in a file already (Excel/CSV) or shall I extract them from the Freelancer message? 2. Which output format do you prefer (Excel workbook with columns, or CSV), and do you want any masking for partial email addresses? 3. Any rules about skipping records or how to handle multiple addresses/directors (concatenate in one cell, separate rows, etc.)? Based on the last points, we can decide the scope, timeframe, and budget. I would be happy to discuss your project further. I look forward to hearing from you. Thank you!

@sagarwal3005

Your requirement to extract and compile data from the NZBN look-up service for 1859 NZBNs is straightforward yet requires efficient automation. By leveraging web scraping tools like Puppeteer or Selenium, I can implement a solution that systematically retrieves and organizes the specified data into your required format. This ensures both accuracy and efficiency in data collection. I have extensive skills in web scraping, REST APIs, and data automation. I have a 4.9-star rating across 200 client reviews, with 220 projects completed and a 97% project-completion rate. Could you clarify if any specific format is required for the final output of the data?

@suganyav12

Hi there, Myself suganya, hope you are doing good. I have checked the NZBN numbers in excel and website. clear with the instruction happy to collect all the information need for this project for all the 1859 NZBN numbers. Kindly check my profile to see all rating and reviews given by clients https://www.freelancer.com/u/suganyav12. Excellent profile with * data entry *web search *data scraping *data transfer *pdf *excel *ecommerce listing Why me: Available immediately to work anytime if immediate needs comes from employer, Reduce time through shortcuts, Quality output, less time large volume handling capacity, handling data carefully and quickly, 24/7 Trusted freelancer Hope you consider me and initiate the chat. Thanks Suganya V

@Olywebart

The task involves automated extraction of business details from NZBN records using the provided list. I will script a Python solution to navigate the NZBN lookup, extract names, directors, addresses, emails, phone numbers, and business types, then populate these into new columns in your CSV. Care around multi-page director information ensures complete data capture. This approach leverages data mining techniques in a controlled scrape to ensure accuracy and compliance with NZBN's data representation. Can you confirm if partial matches or entries without certain details should be included or flagged differently?

@DeveloperStation

Hi, Two pages per NZBN means a scraper that follows the detail link, not just the search result. I'd build a Python script that reads your 1859 numbers, hits each record, opens the business page, and pulls the six fields into a clean spreadsheet. One question on the directors: for records that show "Unknown" or no listed directors, do you want the cell left blank or marked "Unknown" so you can filter them later? I've done a lot of scraping and data processing work across backend projects. Since we're new to each other, I'd suggest a milestone on delivery, so you release only when the full file checks out against samples like 9429052971327. Send me the NZBN list and I'll run a 20-row test first. Adil

@caliphnahidamirz

Hi, I can efficiently look up all 1,859 NZBNs on the official NZBN register and compile the requested details — business name, directors, address for service, email, phone number, and business type — into a clean, organized spreadsheet with the 6 columns you specified. I understand the two-step lookup process (clicking into each business from the search results to access full details) and will ensure accuracy across all records. Please let me know your preferred file format (Excel/CSV/Google Sheets) and timeline, and I'll get started right away. Regards, Nahida

@ImranAli01

Hi, I got that you are looking for assistance with collecting data from 1859 NZBNs. This includes extracting information such as business names, directors, addresses, email addresses, phone numbers, and business types from the NZBN look-up service. This is what I can help you with, let's chat. My approach is to utilize web scraping techniques to extract the required data efficiently. By using custom scripts tailored to navigate through the NZBN website and retrieve the specific details, I will ensure accurate and comprehensive data collection. You can expect a detailed report for each NZBN, providing all the requested information in a structured format. I will pay special attention to handling the challenge of navigating across multiple pages to gather complete data for each entry. As final deliverables, you will receive a well-organized dataset containing the business name, list of directors, addresses, email addresses, phone numbers, and business types for all 1859 NZBNs. One thing I'd like to confirm before we start: Are there any specific formatting requirements for the final dataset? Looking forward to discussing this project further. Let's connect to explore the details. Regards, Imran

@gotucat

Hi, I reviewed the project to collect details for 1859 NZBNs and add business name, directors, address for service, email, phone, and business type into a new columned file. I’ll use Web Scraping and API-style data retrieval to resolve each NZBN on the NZBN lookup, then Data Extraction and Data Collection to capture the fields accurately. Because directors and contact details may span multiple pages, I’ll handle pagination, click-through business pages, and then run Data Processing to normalize results into your CSV columns. I focus on clean output, reliable parsing, and easy handoff so your list stays consistent and verifiable. Let’s discuss here now.

@chiragpipal

⚠️ If you're not happy, you don’t pay. ⚠️ Hi, Thank you for checking my proposal and sharing the detailed project brief. I can build your NZBN data enhancement project using web scraping and data processing techniques with a precise, efficient structure. I will deliver: • Business names for all 1859 NZBNs • Comprehensive list of directors • Accurate addresses for service or postal addresses • Available email addresses from records • Contact phone numbers • Verified business types You will also receive: • A detailed report on data accuracy and integrity • Support for any follow-up queries about the data I am confident I can execute your vision professionally and efficiently. Looking forward to discussing timeline and next steps. Best regards, Chirag Pipal

@novalitztech

I understand you're looking to extract specific details from the NZBN lookup service for a list of 1859 NZBNs. My approach will involve utilizing efficient web scraping techniques to gather the required information: business names, directors, addresses, email addresses, phone numbers, and business types. With my expertise in Python and web scraping libraries, I can ensure accurate data extraction while adhering to best practices for data management. I also have experience with API integration and database development, which will facilitate smooth data handling and storage. Let’s discuss how I can efficiently deliver this project while ensuring data integrity and compliance with your expectations. Looking forward to your response!

@tessyi2

As a seasoned healthcare administration professional with over 14 years of experience, I bring top-notch organizational skills and meticulousness which are essential for successful data collection and data entry. My strong academic background in policy development and regulatory compliance further underscores my attention to detail, which will be pivotal in accurately tracking information from the NZBN record. I understand that the project requires not only collecting data but also analyzing it, making connections between different fields, and cross-referencing information from multiple pages. My experience with telehealth solutions has honed my ability to strategize, problem-solve and deliver efficient outcomes under tight schedules. These transferable skills make me the ideal candidate for handling complex projects like yours. Lastly, I appreciate the importance of security and confidentiality while handling sensitive data. As a consultant who has previously worked with U.S government agencies, maintaining data integrity and privacy is paramount. You can trust that your NZBN data will remain confidential throughout the entire process while still producing results efficiently. Let me put my skills to use in adding value to your business through this comprehensive data extraction task. Choose me for accurate and professional delivery of your NZBN search project!

@oleksandrp67

Hi there! Scraping detailed NZBN records requires handling multi-page navigation to accurately extract directors, emails, and addresses from linked business profiles. I’ll build a reliable script that collects all requested fields into a structured dataset with clear organization and error handling for incomplete data. This solution will be maintainable and allow for easy updates or expansions if your NZBN list grows. I’ve worked with Python, BeautifulSoup, Selenium, and Excel automation tools relevant for web scraping and data extraction projects. Looking forward to discussing with you. Best regards, Oleksandr