I will scrape any website to clean Excel or CSV with Python

I turn websites into clean, ready-to-use spreadsheets.

What you get:

  • Data from any public website (catalogues, marketplaces, listings, directories)
  • Output as .xlsx or .csv, one clean row per item
  • Normalized prices, dates and phone numbers (no broken columns, no "NaN")
  • Columns you choose - I follow your template exactly

Why me:

  • Tested end to end on a live site: 100 records across 10 pages, 0 errors
  • Pagination, lazy loading and JavaScript pages handled
  • New website later? It is a one-line config change, not a rewrite

Typical jobs: competitor price lists, product catalogues, real-estate listings, job boards, lead lists, directory exports.

Send me the URL and the columns you need - I reply with a fixed price and delivery time the same day.

Terms of work
30
ETH, USDT, TIME
+53

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