Scraper for finding new products on Shopify websites - Repost

Cerrado

Descripción

All online stores using the Shopify platform have their products listed in a xml file that follows the format: [url removed, login to view]

Here are some examples...

[url removed, login to view]

[url removed, login to view]

[url removed, login to view]

I am looking to build a scraper that will automate the task of finding new product links as soon as they are uploaded to the site, and put them in a table showing the website, product name, product ID, url, date added, etc.

I also need the scraper to identify keywords in the product URL and output these "hits" to a separate table, which containing all product links with positive keyword matches.

Other features:

- Scrape multiple sites at once

- Customizable delays for how often it checks the page, so I can leave the program running

- Proxy support

- Simple, but user-friendly GUI

- Copy / paste links from the output window

- Make a sound when a keyword match is found

Habilidades: .NET, Programación en C#, Javascript, Arquitectura de software, Extracción de datos web

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ID de proyecto: #11749388

Adjudicado a:

g0dman

Hired by the Employer

$150 USD en 10 días
(17 comentarios)
4.6