I need help extracting data from a website and organizing it into a structured spreadsheet. The site contains product-style pages with information such as make, model, year, type, description & more, and images.
The task involves going through all records on the site and creating a clean, well-structured spreadsheet. Each row should contain: • Item/Make • Model • Year(s) • Type/Category • Part number (if available) • Description • Image link (URL) • Source page URL
Deliverables: • A complete spreadsheet (Google Sheets or Excel). • Consistent formatting across all records. • Image links or saved images (to be confirmed).
Options for completing the task: 1. Manual Data Entry: Copy-paste each page into the spreadsheet. 2. Automated Extraction: Create a script to export the data automatically, followed by a quality check.
Requirements: • Strong attention to detail. • Experience with data entry and/or data scraping. • Ability to deliver accurate, consistent spreadsheets.
Preferred Skills: • Google Sheets / Excel • Python/other scraping tools (if automation is chosen)
Budget: • Manual entry: Fixed price or hourly (please provide estimate). • Automated extraction: Fixed project fee (please provide quote).
How to Apply: Please describe your approach (manual or automated), share relevant experience, and provide your estimated timeline and cost.
There are around 2800 Records to be collected.
We will attach 1 record to the listing in photos so you can see and understand what we need amount of data that needs to be sorted and organised into a spreadsheet with images downloaded and link in a onedrive or google docks. Can you do this?
We would need the person to get up to 10 records, Before we continue. As they need to be correct and nearly stored.
Records have alot of Data and some are less. Send me a message if your serious. dont mess me about.
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