Master Excel data extraction with VLOOKUP, XLOOKUP, and programmatic extraction. Learn how to extract data from Excel files with Python/JavaScript and export web scraping results to Excel spreadsheets.
Excel data extraction involves retrieving and manipulating data from Excel spreadsheets, either using built-in Excel functions or programmatic tools.
| Scenario | Method | Tools |
|---|---|---|
| Lookup data across sheets | VLOOKUP, XLOOKUP | Excel formulas |
| Merge spreadsheets | INDEX/MATCH, Power Query | Excel, Python |
| Extract data from Excel files | Programmatic parsing | Python (pandas, openpyxl), JavaScript (xlsx) |
| Export scraped data to Excel | File writing | Python, JavaScript libraries |
| Automate Excel reports | Scripts | Python (pandas), VBA |
Using formulas like VLOOKUP, XLOOKUP, INDEX/MATCH.
Pros: No coding required Cons: Manual, error-prone for large datasets
Using pandas, openpyxl, xlrd/xlwt.
Pros: Automated, scalable, powerful Cons: Requires programming knowledge
Using xlsx, exceljs, SheetJS.
Pros: Works in Node.js and browsers Cons: Smaller ecosystem than Python
Built-in ETL tool in modern Excel.
Pros: Visual, no coding, powerful Cons: Limited to Excel environment