Automate Website Data Extraction
Budget: $10 – $30 USD
I need a small script or utility that can pull past-results data from a single public URL. The page displays its information across several in-page tabs and sub-sections, but the structure is consistent and does not change. I would like everything that appears in those tabs captured—no filtering, no summarising, simply all available fields.
Key preferences
• Output: one clean Excel workbook (.xlsx) per run.
• Frequency: I plan to run the job once a month, so the solution should be fire-and-forget—ideally a Python script using requests/BeautifulSoup, Selenium, or an equivalent approach that I can trigger manually.
• Budget: I have about $20 in mind but I’m open to reasonable proposals if you can demonstrate reliability and speed.
Deliverables
1. Fully commented source code or macro that fetches the data and produces the Excel file.
2. A sample run showing today’s extraction.
3. A short README explaining any dependencies and step-by-step execution.
Acceptance
If I can launch the script on my Windows machine, wait a moment, and receive an .xlsx file that mirrors every tab and sub-section on the site, the job is done. Message me for the URL and any other details you may need.
Key preferences
• Output: one clean Excel workbook (.xlsx) per run.
• Frequency: I plan to run the job once a month, so the solution should be fire-and-forget—ideally a Python script using requests/BeautifulSoup, Selenium, or an equivalent approach that I can trigger manually.
• Budget: I have about $20 in mind but I’m open to reasonable proposals if you can demonstrate reliability and speed.
Deliverables
1. Fully commented source code or macro that fetches the data and produces the Excel file.
2. A sample run showing today’s extraction.
3. A short README explaining any dependencies and step-by-step execution.
Acceptance
If I can launch the script on my Windows machine, wait a moment, and receive an .xlsx file that mirrors every tab and sub-section on the site, the job is done. Message me for the URL and any other details you may need.
Related categories:
JavaScript
Python
Data Processing
Excel
Web Scraping
Data Extraction
BeautifulSoup
Selenium