Nowadays, a lot of online marketing specialists use online-store scrapers (parsers). They consider downloading a product scraper for filling up a store, because it not only saves their time, but considerably cut financial expenses. Let’s assume that product range of your online-store comprises 200 items. You could fill it up manually in a few days if you set your mind on doing that. But what is to be done if the number of items, that should be added to the store, is over 20 000? In this case store charging can take a few weeks or even a month. Optionally, you could employ a content manager for this task. However, it is quite expensive and you cannot rule out the possibility of human error. Fortunately, you can automate the filling process and reduce costs enormously with the help of a parser of products.
Usually, product scraping is used for further filling of a shop. This task can be easily carried out on the Datacol basis. The used scheme is perfectly simple. For example, there are two stores: the first one is ours (and it is needed to be filled with data) and the second one is so-called donor (a website which is used as an information source about products). Through the use of Datacol we can set a parser of the donor online-store. Our customers are often interested in data export directly to an Excel file. For this purpose takes place unloading of items into a CSV file, while the parsing process. Further, a made-up CSV file can be opened via Excel and imported into our online-store. Parsers with such CMS as Magento, WooCommerce, Prestashop, Shopify, BigCommerce, etc. are often used for this task.
So, now our problem is solved. This way we can automate the process of filling our online-store most effectively. In the above manner we will be able to fill our shop with content through using several donor websites. Moreover, Datacol will help you to make an additional upload of new items regularly.
Products scraping by the list
Often, there is no need in filling a store with all items from another website. Descriptions and properties of only a certain list of goods need to be collected. The Datacol crawler is appropriate for such case as well. It is able to type names of requested items one-by-one in a search form and save obtained data. As a result, you will get a CSV file, which contains the descriptions of products mentioned in your list.
However, such method has its limitations. Some names couldn’t be found at a donor website because of mismatch with the names provided in your list. Another problem is that upon your request several items can be displayed in one time and it isn’t always possible to recognize which one is equal to the product from your list.
Amazon products scraper
One of the most popular parsing tasks is scraping of products from Amazon. This web retailer contains a big amount of detailed descriptions of different products. The Amazon parsing is no different than any other store parsing. The only thing is important to keep in mind, that Amazon is active in the struggle against bots. If you want to collect the information about 5000 items in the fastest way, you need to have at least 50-100 high-quality proxies, which are not banned by Amazon.
In such a way, item properties can be scraped from Amazon as well. However, we immediately face displaying of several items upon one request, mentioned before.
Usually, the Amazon products are saved in a CSV file for further import into online-stores based on various content management systems.
You are probably already convinced that using data mining products can be a great help for online-store owners and content managers, responsible for the content. A parser will help you not only to save you time, but also to improve the efficiency of your business. Datacol, on which basis the parser of products is realized, can be downloaded at this link.