Flooring Data Collection

Job ID: 40043601

Budget: $10 – $30 CAD

Project: Laminate & Engineered Hardwood Flooring Data Entry
Core Objective

Collect laminate and engineered hardwood product data with photos from provided websites at the lowest possible price.
Task Summary

Manually or automatically collect flooring product information. You can use any approach (manual entry, basic scraping, automation tools) - the price must be the same (lowest possible rate). Focus on accuracy and completeness.
Two Product Categories to Collect
1. LAMINATE FLOORING - Collect These Fields:

Brand

Product Name / Style

Collection / Series

Price (and Price per Sq Ft)

Color

Color Family / Tone

Plank Width

Plank Length

Thickness (mm)

AC Rating (AC1-AC6)

Water Resistance (with hours if available)

Wear Layer Thickness

Bevel Type

Surface Texture

Gloss Level

Installation System

Attached Underlayment

Warranty Length

Radiant Heat Compatible

Product Page URL

Photo Filename

2. ENGINEERED HARDWOOD - Collect These Fields:

Brand (Company)

Product Name / Style

Collection / Series

Price per Sq Ft

Color / Finish

Species

Plank Width

Plank Length

Thickness (mm)

Wear Layer / Veneer Thickness

Surface Texture

Grading

Board Variation

Country of Origin

Installation Methods

Core Type

Top Layer Finish

Warranty

Moisture Resistance

Product Page URL

Photo Filename

Photo Requirements for BOTH:

Download main product photo for each product/style/color

Rename photos using format: [Brand]_[Collection]_[ProductName]_[Color].jpg

Example: Pergo_PremiumCollection_Oak_Honey.jpg

Save all photos in organized folders (one for laminate, one for engineered)

Key Points:

You choose the method (manual or automated)

Same price either way (lowest possible rate)

I provide the website URLs

Deliver clean CSV/Excel + organized photos

Payment upon complete delivery

Deliverables:

Two spreadsheets (laminate.csv, engineered.csv)

Two photo folders with properly named images

Verification that all products were captured

Note: If you can scrape it quickly with simple tools, do that. If manual entry is cheaper for you, do that. I pay the same low price regardless of your method.