Scrape Australian Business Contacts
Budget: $250 – $750 AUD
I’m putting together a master spreadsheet of Australian businesses and need an organised, accurate data-gatherer to make it happen. The first priority is every golf club in Australia; once those are complete, we’ll move straight on to other business categories so the file ultimately covers both golf clubs and a broad cross-section of Australian enterprises.
What I need from you
• Source publicly available information online—whether via targeted web scraping, reputable directories, or manual research—and capture each business’s name and primary phone number.
• Include suburb, state and website where they’re easy to obtain so the list is genuinely useful, but the phone number is mandatory.
• Deliver the results in a clean spreadsheet (Excel or Google Sheets) with consistent formatting and no duplicates.
Acceptance criteria
• At least 95 % of golf clubs identified nationwide, verified by cross-checking multiple directories.
• Phone numbers in Australian format, one row per business.
• No duplicate entries and no blank mandatory fields.
If you work comfortably with tools like Excel, Google Sheets, Python, BeautifulSoup or similar, you’ll fly through this. Data accuracy is more important than sheer speed, so double-checking entries is essential. Let me know how you plan to tackle the initial golf-club list and how quickly you can scale to wider business categories.
What I need from you
• Source publicly available information online—whether via targeted web scraping, reputable directories, or manual research—and capture each business’s name and primary phone number.
• Include suburb, state and website where they’re easy to obtain so the list is genuinely useful, but the phone number is mandatory.
• Deliver the results in a clean spreadsheet (Excel or Google Sheets) with consistent formatting and no duplicates.
Acceptance criteria
• At least 95 % of golf clubs identified nationwide, verified by cross-checking multiple directories.
• Phone numbers in Australian format, one row per business.
• No duplicate entries and no blank mandatory fields.
If you work comfortably with tools like Excel, Google Sheets, Python, BeautifulSoup or similar, you’ll fly through this. Data accuracy is more important than sheer speed, so double-checking entries is essential. Let me know how you plan to tackle the initial golf-club list and how quickly you can scale to wider business categories.
Related categories:
Python
Data Entry
Excel
Web Scraping
Web Search
Data Scraping
BeautifulSoup
Google Sheets