Parsing two websites with products (save EAN barcode and price)

Data Parsing — incorrectly specified categories?

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Scrape all products from two websites and save them in two CSV files.

Websites:

https://www.rayburntrading.com/

https://intamarquewholesale.com/

What to collect for each product:

Product name (for verification)
EAN / barcode
Unit Price (Unit Price)

Result format: CSV)

each row = one product, columns

Proposals 14 Rejected 1

Artem Plakha

150 0

Budget: 3000 UAH Deadline: 7 days

Good day. I have dealt with similar tasks multiple times, ready to complete it. I will be happy to collaborate.

Looking forward to working with you!

Nataliya R.

217 1

Budget: 2000 UAH Deadline: 3 days

Good day!
I am ready to do it. I have extensive experience in parsing.
I will be happy to collaborate.

Leonid B.

382 0

Budget: 1500 UAH Deadline: 2 days

Hello. I am interested in your project. I am ready to discuss and complete it.

Aleksey Shaganov

2 1

Projects -
Rating -
Rating 243

Budget: 1000 UAH Deadline: 1 day

Good day. I can complete your order
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Good day! I have experience in parsing e-commerce websites to collect product prices and barcodes, specifically I have worked on similar projects for online clothing and electronics stores.

I will parse the two specified websites, collect product names, EAN codes, and prices per unit, and save the data in two separate CSV files. I will use the Selenium library for browser automation with authentication support and BeautifulSoup for parsing the HTML structure. I will add error handling for stable operation.

I am ready to start working immediately after receiving the login credentials.

Vladislav Savchenko

0 0

Projects -
Rating -
Rating 276

Budget: 3000 UAH Deadline: 2 days

Hello!
I have significant experience in creating parsers of various complexities for both regular stores and large marketplaces with protections, so I can quickly and efficiently complete your task. To provide an accurate cost and price, I will be waiting for your message in private with the login and password to view the site and its behavior after logging in. The estimated completion time is 2 days.