Copy 10k Addresses to Excel
Budget: €30 – €250 EUR
I need to pull 10,000 company addresses from a public online register and place them in a clean, well-structured Excel spreadsheet within the next two weeks. The final file must use exactly these four columns, in this order: Company Name, Street and House Number, Post Code, City. Because I’m unsure how consistent the source formatting is, you may have to mix light automation with careful manual checks to keep every record complete and readable.
I will provide the register link at kickoff. Your job is to harvest the data, verify that each entry has all four fields, and deliver a single .xlsx file ready for import into our CRM. Familiarity with Excel functions, data cleaning, and basic web research is essential; using tools such as Power Query or Python/pandas is welcome as long as the end result meets the requirements.
Deliverable (acceptance criteria):
• One Excel file containing 10,000 fully populated rows under the specified four headers.
• No empty cells, obvious duplicates, or misaligned data.
• Delivery no later than 14 calendar days from project start.
Budget is €180 for the entire task, released on successful hand-over of the verified spreadsheet.
I will provide the register link at kickoff. Your job is to harvest the data, verify that each entry has all four fields, and deliver a single .xlsx file ready for import into our CRM. Familiarity with Excel functions, data cleaning, and basic web research is essential; using tools such as Power Query or Python/pandas is welcome as long as the end result meets the requirements.
Deliverable (acceptance criteria):
• One Excel file containing 10,000 fully populated rows under the specified four headers.
• No empty cells, obvious duplicates, or misaligned data.
• Delivery no later than 14 calendar days from project start.
Budget is €180 for the entire task, released on successful hand-over of the verified spreadsheet.
Related categories:
Python
Data Processing
Data Entry
Excel
Web Scraping
Data Analysis
Automation
Data Management