Website Data Mining for Product Details

Job ID: 38784458

Budget: $30 – $250 USD

Job: mine data from a website.
The website is a distributor/dropshipper website that has collections of products. I need most products, the information an be scraped from the product page.
What is need is a csv file with :
1. A columm named SKUs,
2. specification Columm with HTML bulleted format (<ul><li></li></ul>) specs data from the website, if available.
3. The Video URL from Video Tab, if available as well.

-------------------------------

For instance From URL : https://www.eldorado.net/lovense-lush-3-0-sound-activated-camming-vibrator-pink-lov9728.html

(You will need credentials to login.)

SKU: 'LOV9728' If possible, add 'EOP' in front of SKU like this : EOPLOV9728

From Specifications Tab:

<ul>
<li>Compatible With:
<ul>
<li>iPhone/iPad Air/iPad Mini/iPod Touch iOS 10.0 and later.</li>
<li>Android 4.3 and later (with Bluetooth 4.0 enabled)</li>
<li>Mac (with Bluetooth 4.0 enabled)</li>
<li>Windows PC (needs a Lovense USB Bluetooth Adapter to connect).</li>
</ul>
</li>
<li>IPX7 Waterproof.</li>
<li>USB rechargeable - 4.5-5 hours of continuous use.</li>
<li>Dimensions:
<ul>
<li>Length of overall toy: 7.12".</li>
<li>Tail of vibe: 5.3".</li>
<li>Length of insertable portion: 3".</li>
<li>Height of insertable portion: 1.5".</li>
<li>Width of insertable portion: 1.37".</li>
</ul>
</li>
</ul>
Images are not needed.

From Video Tab: (vimeo videos)

It need this : https://player.vimeo.com/video/659404105

Not the : https://vimeo.com/659404105 (does not Work)

Contact me if you have any interest or questions.
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