How to use the Scrapy framework for Web scraping
Scrapy is an application framework that allows developers to build and run their own web spiders. Written in Python and able to run on Linux, Windows, Mac and BSD, Scrapy facilitates the creation of self-contained crawlers that run on a specific set of instructions to extract relevant data from websites.
A main benefit to Scrapy is that it handles requests asynchronously and it is really fast. It also makes it easy to build and scale large crawling projects because it allows developers to reuse their code. This type of framework is ideal for businesses such as search engines as it allows them to constantly search and provide up-to-date results.Hire Scrapy Developers
We need to implement a data extraction API service (such as ScrapingBee or Apify) into our system, to extract product info from e-commerce sites. We only need to extract 4 fields per item: - Item name - SKU# - Unit price - Vendor name (from the e-commerce site) Below 3 examples of 3 random products as a examples: Bestbuy: Ebay: Newark: We will have to adapt the parameters for each e-commerce site, as the name of each CSS selector will be different for each website. For example, for the SKU#, Bestbuy website title element's CSS selector is .sku-title, but for Newark's website that would be .pdpBlackText This will be a continual and ongoing project, as we will add new vendors to scrape every month. So we need continual support to build more and more scrapers, although th...