Accurate Data Entry & Web Data Scraping Specialist for Organized Business Records

I need to capture publicly-available financial records from a set of business websites and turn them into a clean, structured dataset that my team can work with immediately. The job calls for a blend of precise web scraping and careful data entry so every figure—revenue, expenses, balance-sheet items, year-on-year comparisons—lands in the correct column and remains faithful to the source.

Here’s what the work looks like from my side:

• You’ll navigate each designated site, locate the target financial tables or statements, and pull every required number.
• For transparency, I also want the source URL and the date you captured each record logged beside the data.
• Consistency matters: please apply uniform naming conventions (e.g., “FY2023 Gross Profit” instead of varying labels) and check subtotals or totals to be sure everything reconciles.
• I’m flexible on the final file type—CSV, Excel, or Google Sheets all work—so let me know which you prefer or suggest.
• If you automate with Python, BeautifulSoup, Selenium, or a comparable tool, great; just include the script so the process can be rerun later. A quick README explaining any inputs or environment setup is enough for me to replicate it.
• Accuracy is non-negotiable. I will spot-check figures against the original web pages, so double-check before submitting.

Once you deliver the dataset (plus any scripts and brief documentation), the project is complete. If things go smoothly, I have additional batches of websites lined up that could turn this into recurring work. Let me know your approach, estimated turnaround, and any clarifying questions, and we can get started right away.