Shopify Product Details and Data Extraction

Job ID: 38010752

Budget: £10 – £20 GBP

I'm in need of a skilled data miner who can help to extract certain details from a vast range of Shopify products. Your mission, if you choose to accept it, is as follows:

- list products that contain non-English writing or words in text and videos
- Organise and sort these findings for simple review
- Identify and list any products filled with non-English language in the description, pictures or images
- Compile lists of products that aren’t currently making top-seller lists
- List any products can not be delivered in eight days or less. Please note that tractors and food vans may take up to two months to deliver.
- List any products that are not suitable for industrial purposes/non-commercial products. Ensure that the products you are considering are meant for commercial use or business-to-business sales. All products should be able to withstand at least 300 uses per month without breaking down. Industrial-use products are usually more powerful than products designed for home use by a single person. For instance, commercial food blenders can blend thousands of vegetables in less than 30 minutes in a food processing environment, whereas a non-commercial blender cannot.

- Check and list products that do not meet UK or EU standards.
- List products that do not have a clear description, images, and videos.

Your ideal skill set will include:
- Profound experience in data scraping and mining
- Familiarity with Shopify's product structure
- Strong data organisation skills
- Experience working with sales data and commercial filters

Once the above has been completed, 1,000 commercial products need to be sourced, edited with video, pictures, and content, and added to the Shopify site. The order in which these products need to be added needs to be agreed upon. Only bid if you are available to start work as soon as possible.

Successful completion of this task will create a robust database filled with crucial product details. Your ability to sort and filter this information will be relied upon, and your contribution to organising the data will be highly valued. Thank you.