{"id":6433,"date":"2023-10-18T14:47:43","date_gmt":"2023-10-18T14:47:43","guid":{"rendered":"https:\/\/royadata.io\/blog\/?p=6433"},"modified":"2023-10-18T14:47:43","modified_gmt":"2023-10-18T14:47:43","slug":"shopify-scraper","status":"publish","type":"post","link":"http:\/\/royadata.io\/blog\/shopify-scraper\/","title":{"rendered":"Shopify Scraper 2022: How to scrape shopify store data with Python"},"content":{"rendered":"
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Are you looking forward to scraping product data or any other information from a Shopify store? Then stay enough on this page to discover the best Shopify scraping bots in the market and learn how to create custom ones.<\/p>\n<\/blockquote>\n

\"Best\n<\/picture>\n

Shopify<\/a> has made it easy for businesses to set up a storefront online and accept payment with minimal effort and hassle. Currently, it has been reported that over 500,000 online stores<\/a> are powered by Shopify and have driven more than 40 billion worth of sales.<\/p>\n

Unlike in the past, most stores are moving their businesses online. Not only physical products are sold using the Shopify e-commerce platform. Digital products, membership, courses, rentals, and many more. With many products listed on\u00a0 Shopify sites<\/a>, the platform has become a hub for marketers doing competitive research.<\/p>\n

\"Shopify\n<\/picture>\n

As a marketer, you can carry out competitive analysis, discover new products, monitor your competitor\u2019s pricing<\/a> and how they change over time, and many more. Aside from product data, there are other textual data that can be scraped. If you have an interest in scraping any website that is based on Shopify, then you are on the right page.<\/p>\n

\"Shopify\n<\/picture>\n

In this article, you are going to learn about the best web scrapers<\/a> you can use to scrape data from Shopify websites. If you have coding skills, we will also be showing you how to scrape Shopify sites easily. Before going into that proper, let take a look at an overview of scraping Shopify.<\/p>\n\n

<\/span>Shopify Scraping \u2013 an Overview<\/strong><\/span><\/h2>\n

Unlike some e-commerce stores that have been built from the ground up and have control over their sites, stores hosted on Shopify has little control over their site backend. Most of the heavy lifting is done by Shopify.<\/p>\n

One thing you will come to discover about Shopify sites is that all of the sites are similar, and as such, the process of scraping them is the same.<\/p>\n

Interestingly, even though Shopify has an anti-bot system<\/a>, it can be argued to be one of the weakest in the market in terms of keeping bots away. If you plan to scrape a Shopify site, you will meet minimal blocks than when scraping other sites.<\/p>\n

\"Shopify\n<\/picture>\n

If you ask me, I will tell you Shopify is scraping friendly. This is because it has a public API that you can query and retrieve information about all of the products listed on a particular site. Every Shopify site has a products.json<\/strong> file, and you can access it via this URL \u2013 \u201chttps:\/\/www.exampleshop.com\/products.json\u201d.<\/p>\n

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https:\/\/www.exampleshop.com\/products.json<\/p>\n<\/blockquote>\n

Replace the exampleshop.com with the URL of your target site, and you will get the details of all the products, including that of each of the variant of a product. Because the information is presented in JSON and formatted, you will most likely not need to send additional web requests if what you are looking for is just product data.<\/p>\n

While many store owners complain about this, Shopify has not done anything to prevent this. The interesting part is that no authentication is required, and there\u2019s nothing you can do as a store owner to prevent this. It is important you know that even though Shopify allowed automated access, site owners frown at it. Shopify even has systems that block bot traffic<\/a>, but the system is not effective enough.<\/p>\n\n

<\/span>How to Scrape Shopify Sites Using Python and Requests<\/strong><\/span><\/h2>\n

If you have coding skills, then this section has been written for you. You can use any programming language to code a Shopify scraper. We can\u2019t possibly demonstrate how to do that using all of the languages in one article, and as such, we will be doing that using Python<\/a>. Python was chosen because of its simplicity, readability, and the fact that the bot developer’s community is in love with it.<\/p>\n

\"Shopify\n<\/picture>\n

As stated earlier, Shopify makes it easy to access product information from Shopify stores via the products.json file, which every Shopify store has. With this, we do not have to go through the stress of downloading the HTML of product pages and then parsing out required data.<\/p>\n

All data you require about a product is present in the file, and you get everything returned to you at a go. For this reason, you will most likely not have to deal with anti-bot systems since you will only be making a single request. However, if the data you require is not present in the products.json<\/strong>, then you will need to access the pages.<\/p>\n

Let me demonstrate to you how easy it is to scrape product details from Shopify stores by developing a simple product list scraper using Python and Requests. All we do is send a web request to the full list URL path with the products.json, and it is returned.<\/p>\n

You can then parse out the required data and display it on the screen. Below is the code; you can test run it using any Shopify store. It is a simple scraper that assumes all is OK and as such, exceptions won\u2019t be handled.<\/p>\n

import requests\n\n\n\nclass ShopifyScraper:\n\n\n\ndef __init__(self, root_domain):\n\nself.domain_url = root_domain\n\nself.product_list_url = self.domain_url + \"\/products.json\"\n\nself.product_list = []\n\ndef get_products(self):\n\n\n\nself.fetch_products = requests.get(self.product_list_url)\n\n\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 products = self.fetch_products.json()[\"products\"]\n\n\n\nfor iin products:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 title = i[\"title\"]\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 slug = i[\"handle\"]\n\npublish_date = i[\"published_at\"]\n\nupdated_date = i[\"updated_at\"]\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 vendor = i[\"vendor\"]\n\nproduct_type = i[\"product_type\"]\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 tags = i[\"tags\"]\n\nfull_url = self.domain_url + \"\/products\/\" + slug\n\n\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 details = [title, full_url, publish_date, updated_date, vendor, product_type, tags]\n\nself.product_list.append(details)\n\n\n\ndef print_products(self):\n\n\n\nfor product in self.product_list:\n\nprint(product)\n\n\n\nx = ShopifyScraper(\"https:\/\/shopnicekicks.com\")\n\nx.get_products()\n\nx.print_products()<\/pre>\n