Distributor Parts Data Scraping Spreadsheet
Budget: $30 – $250 USD
I need to turn a distributor’s online catalogue into a clean, ready-to-use Excel file. The job is entirely web scraping: pull the SKU, current price, and the full parts description for every electrical and lighting product that appears on the distributor site I’ll provide.
Please capture the data exactly as displayed, avoid duplicates, and keep all text characters intact. Accuracy matters—if any item is missing one of the three fields, just flag it so I can decide what to do.
Deliverables
• Excel workbook (.xlsx) with columns: SKU | Price | Parts description
• The scraping script or notebook you used, along with a short read-me so I can re-run it later
Any modern stack is fine (Python, BeautifulSoup, Selenium, etc.) as long as the output is dependable. I’d like an initial run within two days, followed by a quick round of tweaks if needed before final hand-off.
Please capture the data exactly as displayed, avoid duplicates, and keep all text characters intact. Accuracy matters—if any item is missing one of the three fields, just flag it so I can decide what to do.
Deliverables
• Excel workbook (.xlsx) with columns: SKU | Price | Parts description
• The scraping script or notebook you used, along with a short read-me so I can re-run it later
Any modern stack is fine (Python, BeautifulSoup, Selenium, etc.) as long as the output is dependable. I’d like an initial run within two days, followed by a quick round of tweaks if needed before final hand-off.
Related categories:
Python
Excel
Web Scraping
Data Mining
Data Extraction
BeautifulSoup
Selenium
Data Management