Copy 10k Addresses to Excel

@saqibmunir55

Hello, I can complete this project accurately within your 14-day deadline. I have over **10 years of experience** in web scraping, data extraction, and Excel processing, and have completed hundreds of similar projects involving company directories, business registers, and CRM-ready datasets. For your project, I will: * Extract all **10,000 company addresses** from the public register. * Populate the required columns exactly as requested: * Company Name * Street & House Number * Post Code * City * Use a combination of **Python (Requests, BeautifulSoup, Selenium/Playwright, and Pandas)** and manual verification where needed to ensure accuracy. * Remove duplicates, correct formatting inconsistencies, and verify that every row is complete before delivery. * Deliver a clean, well-structured **.xlsx** file ready for immediate CRM import. I have extensive experience cleaning and organizing large datasets, and I always prioritize accuracy over speed while still meeting deadlines. I can start immediately and provide progress updates throughout the project if required. I look forward to working with you.

@livegoodlife

Hello there Can you send me the link from where we will get them into excel file? I’m experienced in python Best regards

@BithiXpert

Hello, I’d be happy to extract 10,000 company addresses from the public online register and organize them into a clean, well-structured Excel spreadsheet. I have extensive experience with large-scale data extraction, web research, data cleaning, and Excel, and I will ensure every record contains the required four fields in the exact order: Company Name, Street and House Number, Post Code, and City. I’m comfortable using efficient tools such as Power Query or Python/pandas where appropriate, followed by careful manual verification to ensure the data is accurate, complete, and properly aligned. Accuracy and consistency are my top priorities. I will thoroughly review the dataset to eliminate duplicates, correct formatting issues, and ensure there are no empty cells or misaligned entries before delivery. You will receive a single, CRM-ready .xlsx file containing all 10,000 fully populated records. I’m ready to begin as soon as you provide the register link and look forward to delivering high-quality results. Best regards Shamima

@Tanmoy236

Hey! I specialize in data extraction and Excel processing with 9+ years of experience collecting, cleaning, and validating large datasets for accurate CRM imports. I can deliver a well-structured spreadsheet with verified, duplicate-free records within your deadline. Here's how I can help: 1. Extract 10,000 records accurately. 2. Clean, verify, and standardize all fields. 3. Remove duplicates and incomplete entries. 4. Deliver a CRM-ready Excel spreadsheet. Could you clarify if the public register allows filtering by region or category, or should the 10,000 companies be collected from the complete database?

@asifdwan

Hi, I can extract 10,000 company addresses from your provided public register and deliver a clean, verified Excel file within your 14-day deadline. I have extensive experience with Python, pandas, web scraping, Excel, and data cleaning. I'll combine automation with manual validation to ensure all four fields are complete, properly aligned, deduplicated, and ready for CRM import. I can also provide a sample for review before processing the full dataset.

@ViraCute

Hi, I'd be happy to help with this project. I have solid experience in web research, data entry, and Excel, and I'm used to working with large datasets while keeping the data accurate and well organized. I work carefully to ensure every record is complete, consistently formatted, and free from obvious errors or duplicates. If needed, I can use automation to speed up the process while still manually reviewing the results for quality. I'm confident I can deliver everything on time and would be glad to get started as soon as you share the source. Best regards, Vira

@justmian876

As a team that focuses on web scraping and data extraction, we pride ourselves on our ability to navigate through large amounts of data while maintaining accuracy and efficiency - a skill that will be invaluable for your project. In fact, we've successfully gathered and processed over 1 million data records daily with an impressive 20+ million business and retail records under our belt - making us an excellent fit for a task of this magnitude

@Hadiibaba

Hi there, I’ve thoroughly reviewed your project details and am confident I can deliver exactly what you're looking for. I have direct experience with this type of work and can start right away. To show you what I can do, I’d be happy to prepare a quick sample for your review. Let’s connect to discuss the full scope of work so I can provide an accurate project estimate. Best regards, Muhammad Haris

@hassannaweed4

With my extensive experience as a Software Engineer, specializing in automation and data analysis using Python, I am confident in my ability to complete this project efficiently and accurately. I have a deep understanding of Excel functions, data cleaning, and web scraping, and have successfully applied these skills in various projects similar to yours. I recognize the significance of your data being well-structured, clean, and complete for seamless import into your CRM system. My advanced knowledge of Python will enable me to employ the best-suited libraries like pandas or Power Query, guaranteeing the delivery of error-free, well-aligned records ready for immediate use. Furthermore, my expertise in automation workflows using tools like n8n and Zapier will ensure that even with such a large volume of data to be processed and validated manually, we can minimize errors while maximizing efficiency within the tight 14 day deadline. My bid is €180 for the whole project which reflects both fair compensation for the task at hand as well as my unwavering commitment to providing value-driven solutions. I look forward to discussing how I can assist you in accomplishing this essential data management project!

@miansaif727

With my comprehensive understanding of web scraping, automation, and data analysis, I am confident in my ability to meet all the given specifications for your project. My mastery of essential tools like Scrapy and Selenium coupled with my experience in Python and pandas further optimizes my ability to manage large volumes of data such as addresses for companies as required in your project. I also employ a level of reliability and accuracy paramount to this task. Over the years, I have specialized in transforming complex web data into actionable insights that help businesses like yours grow. My adeptness at maintaining quality and consistency through manual checks will ensure that all 10,000 entries are accurate, complete, and readable in the final Excel spreadsheet. Additionally, I can readily spot duplicates and clean up any misaligned or empty cells so that the end product is not just a bulk extraction but instead a thoroughly vetted address register. Not only do I deliver on time, but I also develop tailored solutions that cut down on unnecessary repetitive work by automating processes where it makes sense. At your request, I can leverage tools such as Power Query or Python/pandas to create an efficient workflow. Entrusting this task to me isn't simply a process move; it's a step towards leveraging intelligent automation for lasting impact. Let me bring all these skills to bear on your project and help elevate your CRM processes with clean, accurate data.

@MRashidTech335

Hi, I can assist you with pulling 10,000 company addresses from a public online register and placing them in a clean, well-structured Excel spreadsheet within the next two weeks. My tremendous data entry skills enable me to meticulously sift through digital registers with pace and precision - ensuring that all 10,000 company addresses meet your specific standards for the four crucial fields. Looking forward to your response. Thank You!

@mattafareed4848

Hello I can collect and verify all 10,000 company addresses from the public register and deliver a clean, well-structured Excel file with the exact four required columns: Company Name, Street and House Number, Post Code, and City. I'll use a combination of automation and manual quality checks to ensure there are no missing fields, duplicates, or misaligned records. I'm confident I can complete the project within the 14-day deadline and deliver a CRM-ready .xlsx file. Regards Muhammad

@nareshk44

As someone who is accustomed to handling large volumes of data with meticulous attention to detail and efficiency, I firmly believe I am the right freelancer for this task. My comprehensive skill set includes proficiency in Excel and data manipulation software like Python/pandas, which perfectly aligns with your project needs. I have years of experience cleaning and analyzing data through automation and manual checks to ensure the highest accuracy possible. Moreover, my ability to design and create clean, structured spreadsheets will be invaluable in ensuring your final deliverable meets your specific requirements, leaving you with a file that is load-ready for your CRM. I also have extensive experience in web scraping and data mining which will prove useful in collating all the necessary information from the public online register you provide. Finally, having worked as a support professional, meeting tight deadlines without compromising quality is second nature to me. For your peace of mind, I always provide samples, unlimited revisions, and 100% satisfaction guarantee. By choosing me for this project, you are choosing reliability, expertise, and a commitment to delivering beyond expectations - all qualities essential for a successful project completion.

@asifkhan268

Hello, I can help you collect and verify the 10,000 company addresses and deliver a clean, well-structured Excel file within your 14-day deadline. I'll use a combination of automation (where appropriate) and careful manual verification to ensure every record is complete, correctly aligned, and free of obvious duplicates. The final spreadsheet will contain exactly these columns in the required order: Company Name Street and House Number Post Code City I'm experienced with Excel, data cleaning, web research, and tools such as Python (pandas) to efficiently extract and validate large datasets while maintaining accuracy. If the source website requires a different approach, I'm a fast learner and can quickly adapt to any new tools or techniques needed. I'm also happy to complete a free sample or trial using a small set of records so you can verify the quality before we proceed. If you're not satisfied with my work, you don't have to pay. I can start immediately and provide regular progress updates until the project is completed. I look forward to receiving the register link and getting started. Regards Karim

@zafarfarooq612

Hello, I am a data extraction and cleaning specialist who will pull 10,000 company addresses from your public register into a clean Excel file with columns: Company Name, Street and House Number, Post Code, City. I will verify every entry has all four fields, deduplicate, and align data using Power Query or Python/pandas with manual checks. I can deliver within 14 days. Flat €180. Please share the register link. I can start immediately. Thank you. Regards, Zafar

@topcreator100

Hello, I can definitely help you with this project. Not only do I have extensive experience in data extraction and manipulation, including using web scraping tools like Python/pandas, but I'm also well-versed in Excel functions and data cleaning tools like Power Query. Rest assured, I can ensure that the final .xlsx file will meet all the specified requirements, no empty cells, duplicates or misaligned data. My proficiency in various programming languages and databases will make this process more efficient. Additionally, my deep understanding of how to translate business requirements into technical solutions will allow me to structure the final spreadsheet in a format that's most conducive for your needs. Moreover, my past projects have required me to handle and maintain clean datasheets with over 100,000 entries, which helps me resonate with the ubiquitous formatting inconsistencies you fear. What you'll get with me is not just someone who can get the work done accurately and promptly but a developer who is equally dedicated to the success of your project. So if you are looking for a capable and efficient freelancer who knows their way around data extraction, cleansing and organization, as well as one who understands the mission-critical role of delivering on-time, then look no further. Let's discuss your needs and my approach further! Thanks!

@Imranatmoon

Hi, I can complete this project accurately within your 14-day deadline. I have over 23 years of experience in data extraction, Excel, web research, and data cleaning. I regularly use Python (pandas/BeautifulSoup) together with manual verification to efficiently collect large datasets while ensuring accuracy. I will deliver: * A clean Excel (.xlsx) file with 10,000 records. * The exact four required columns in the specified order. * No obvious duplicates, missing fields, or misaligned data. * Final quality checks before delivery to ensure the spreadsheet is ready for CRM import. I'm ready to start as soon as you provide the register link. Thank you for your consideration.

@mhfsha

Hello Sir/Madam, I am interested in your data collection project and can assist with extracting and organizing 10,000 company addresses from the public register into a clean Excel spreadsheet. I have experience with large-scale data collection, Excel data cleaning, web research, and structured data processing using tools such as Excel Power Query and Python when appropriate. I understand that the final file must contain exactly four columns in the following order: Company Name, Street and House Number, Post Code, and City, with all records carefully reviewed to ensure completeness and consistency. My approach would combine automated extraction with manual quality checks to verify that each entry contains all required fields, remove duplicates, correct formatting inconsistencies, and ensure the data is ready for direct CRM import. The final deliverable will be a single well-structured .xlsx file containing 10,000 verified records with no empty cells or misaligned data. Before starting, could you please share the register URL and confirm whether there are any restrictions on data access, pagination limits, or CAPTCHA protection on the source website? Once I review the source, I can confirm the timeline and extraction method. Kind regards, Saaniya

@suganyav12

Hi, Myself suganya, hope you are doing good and wishing the same. I can do this project right now with 100% accurucy. i will deliver One Excel file containing 10,000 fully populated rows under the specified four headers 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