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Fix Python Scraper — Google Sheet Extraction Missing Data (Small, Well-Defined Job)

Orçamento: $50.0 FIXED / ⭐ 0.00 (0) United States

python, data-scraping, microsoft-excel, data-mining, data-extraction, google-sheets

Qualificações preferidas

  • Tipo de talento: Independente
  • Experiência: Especialista
  • Inglês: Fluente
  • Job Success: 90%+
  • Rising Talent preferido
  • Ganhos mín.: $10,000+
I have a working Python scraper that pulls picks from a published Google Sheet into an Excel file. It runs on my local computer. It works, but it is not extracting all the data and I need it fixed. The problem: the sheet has 9 categories laid out in blocks across and down the page. The scraper only picks up the first two categories. Everything further right is skipped entirely — roughly a third of the picks never make it into the Excel file. What needs to happen: All 9 categories extracted, every time Each pick written into Excel under the correct category The category blocks move position from day to day, and the same column can hold a different category further down the sheet. The parser must identify each category by its name, not by its row or column position, and still map everything correctly when a block moves Blank spacer columns and extra columns inside a block must not stop the parse Sport captured correctly for every pick, including picks that sit under no sport header If a category is genuinely empty, that must be distinguishable from a category that failed to parse — the script should log it, not fail silently I have the existing code and can show you the live source and the current output.
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