Web Data Extraction to Excel Dashboard
Budget / Salary₹1,500–12,500
TypeFreelance project
LocationRemote
Posted1 hour ago
I need to automate the entire journey of pulling financial data from the web, saving it into a clean .csv file, and then funneling that data into Excel where I can explore it through a purpose-built dashboard with interactive filters.
Here is what I have in mind:
• A reusable script (Python with requests/BeautifulSoup, Selenium, or a similar stack) that scrapes up-to-date financial data. We can decide together which public sources make the most sense once we talk through feasibility and any site restrictions.
• The script should output a single, well-structured .csv file ready for import.
• An Excel workbook that automatically refreshes from that .csv and presents the data in a clear dashboard: charts, key metrics, and slicers or drop-down filters so I can drill into specific time periods, tickers, or categories without touching the raw sheet.
• Simple setup instructions so I can run the scraper and refresh the dashboard myself whenever I need fresh numbers.
Acceptance criteria
– Scraper runs without manual intervention and captures the agreed set of financial data.
– .csv follows a consistent header/column format.
– Excel dashboard updates correctly when the data source is refreshed and all filters work as intended.
Let me know your preferred scraping toolkit and any questions about the data points or dashboard layout, and we can get started right away.
Here is what I have in mind:
• A reusable script (Python with requests/BeautifulSoup, Selenium, or a similar stack) that scrapes up-to-date financial data. We can decide together which public sources make the most sense once we talk through feasibility and any site restrictions.
• The script should output a single, well-structured .csv file ready for import.
• An Excel workbook that automatically refreshes from that .csv and presents the data in a clear dashboard: charts, key metrics, and slicers or drop-down filters so I can drill into specific time periods, tickers, or categories without touching the raw sheet.
• Simple setup instructions so I can run the scraper and refresh the dashboard myself whenever I need fresh numbers.
Acceptance criteria
– Scraper runs without manual intervention and captures the agreed set of financial data.
– .csv follows a consistent header/column format.
– Excel dashboard updates correctly when the data source is refreshed and all filters work as intended.
Let me know your preferred scraping toolkit and any questions about the data points or dashboard layout, and we can get started right away.
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