Walmart Users' Orders for 11 months Data entry or Scraping for Fraud Investigation

Job ID: 38469006

Budget: $30 – $250 USD

I'm seeking a freelancer to assist in data scraping from the Walmart website. The aim is to collect information on users' orders and payment transactions over the past 11 months for a fraud investigation.
I need a professional data entry or data scraper to collect specific order details, customer information, and product information from a specific Walmart account over the last 11 months. This data will be used for a fraud investigation. User could enter the data manually or scrape it too. I'm open to either approach.

The ideal freelancer for this project should have:
- Proven experience in data scraping or is willing to manually collect and enter the data in spreadsheet form.
- Familiarity with e-commerce platforms, specifically Walmart.
- Excellent data handling and analysis skills.
- Understanding of how this would be needed for a fraud investigation processes would be a plus.

I need the data scrapped or manually entered and delivered as soon as possible in .csv or .xlsx form. There are a approximately 150 orders from Oct 1st '23 to Aug. 17th '24
Spreadsheet will need to be a simple layout with the ability to easily manipulate the data.
In other words, no formatting(formatted headers, blocking, pagination) a single sheet csv with each detail in a separate column will suffice. (see attachment
outlined below 1-8 (see pic):
1. Order date
2. Order #
3. Item name and description
4. per item price
4a Item quantity
5. total price for item(s)
6. Order subtotal
7. Order tax
8. Total price per order

The specific requirements are:
- data entry from website or scraping order details and payment transactions from the Walmart website.
- Organizing the final dataset into an Excel spreadsheet.

Ideal skills include:
- Proficiency in data entry and or scraping.
- Experience with Excel.
- Attention to detail for accurate data collection.
Related categories: Data Entry Excel Web Scraping Web Search Data Mining