This project requires two parts.
Part 1. Product descriptions.
Product descriptions to be scraped from official or retailers websites and entered into a .xls spread sheet.
You will be supplied with a .csv spreadsheet template with 88 products. Each product requires a correct html formatted product description, along with the product specifications.
It is important that the scraped description correctly matches the product and that no competitors, branding, contact details, or competitors links are included.
Scraped Html formatting need to remain intact. Best option would be to paste into Dreamweaver style WYSIWYG program first and once formatted nicely paste the data / description & specifications into the .xls template description field.
Part 2. Photo Scraping.
Each description must be accompanied with a photo.
The photo must be of a large high quality, Large sharp high quality images, not blurred or pixelated.
Not include not competitors watermarks.
Product photo must be saved and resized/placed into the supplied "[login to view URL]" template 1200x1200px and be saved as the name in the spreadsheet "Image Name" field found in the xls template.
The official website most likely will be too small. If you do a Google image search make sure the product is the correct image.
The image is to be as large as possible, filling the space.
Product to be placed diagonally in the square template.
Image must not be distorted when resized. Keeping the aspect ratio.
Image to be saved as a .jpg at 100% compression quality. 300kb or larger.
All images to be zipped up into a single folder per brands once job is complete.
All images to have white background.
This is the job I will be checking for quality of product descriptions and photo quality.
Hi sir,
I am scraping expert, I have did too many similar projects, please check my feedback then you will know.
Can you tell me more details? then I will provide demo data for you.
Thanks,
Kimi