![]() start_urls, defines an array of the URLs you'd like to scrape.name, which is our Spider's name (that you can run using scrapy runspider spider_name).Here, we created our own EcomSpider class, based on scrap.Spider, and add three fields It's a simple container for our scraped data and Scrapy will look at this item's fields for many things like exporting the data to different format (JSON / CSV.), the item pipeline etc.įrom product_ems import ProductĪllowed_domains = With Scrapy you can return the scraped data as a simple Python dictionary, but it is a good idea to use the built-in Scrapy Item class. For each category you would need to handle pagination Then for each product the actual scraping that generate an Item so a third parse function. This method would then yield a Request object to each product category to a new callback method parse2(). You could start by scraping the product categories, so this would be a first parse method. Let's say you want to scrape an E-commerce website that doesn't have any sitemap. ![]() You may wonder why the parse method can return so many different objects.
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