In this blog, we will help you learn about building a web scraper that will help you scrape data on prices and delivery status of liquor from More, Total Wine, and other stores.
The main idea of this blog is to tell you How to Scrape Liquor Pricing and Delivery Status Data from Total Wine Stores and how Actowiz Solutions can help you in that.
To help you with data extraction of liquor delivery status and prices from different stores, we will utilize Python 3 along with Python libraries. Let us know about the data fields fetched into an excel sheet:
- Name
- Size/Quantity
- Price
- URL
- Delivery Available
- InStock
You will get the data extracted in CSV file format which would like the data shown in the image below:
Required Package to Install For Running Total Wine and More Web Scrapers
We will start with the installation of Python 3 for data extraction along with the Python libraries given below
Python requests – Use to create requests & download HTML scripts of webpages.
Selectorlib – Used for data extraction with the help of YAML files created from the downloaded web pages.
Now, you need to install them using pip3 using the command given below
pip3 install requests selectorlib
The Python Code
Now, simply create a file with the name products.py and then paste the following code into it.
Research on Customer Statistics and Preferences
To live in the competitive e-commerce industry, you have to identify the requirements and wishes of your targeted market. Utilize e-commerce data scrapers to scrape as well as analyze the array of services and products your competitors offer to find a superior idea about how to grow your business.
As a lot of new services and products come into the market daily, utilize e-commerce product scrapers and data scrapers to make a listing of all services and products that competitors provide. After that, you can utilize keywords for going through the listing and understand which services and products you can provide to get an edge over your e-commerce stores.
You may also utilize data scraping for doing predictive sentiment analysis for determining what your clients are discussing about. By extracting through different social media websites, it’s easy to collect important statistics regarding consumers’ experiences, preferences, as well as opinions on different services and products. It will assist you in boosting your business’s user experience and appeal.
Now, let’s look at the result of executing the above code:
It reads through a list of Total Wine stores from url.text file. (The url.text file comprises URLs for product pages for different beverages like Wines, Scotch, Beer, etc)
It utilizes selectorlib YAML file that finds the data on a particular page of Total Wine. It is then saved as a file named selectors.yml.
The code performs data scraping to yield the desired information.
It saves the data in CSV format as data.csv
Construct YAML File – selectors.yml
Now, you will see that there is a file used in the above code known as selectors.yml. The file helps simplifies the code and keeps it transparent. It is a Web Scraper tool named as Selectorlib that helps create the file selectors.yml.
Knowing More About the Efficient Tool – Selectorlib
It is an efficient tool that enables effortless marking up, selection, and web data extraction through web page visuals.
The Selectorlib Web Scraper Chrome Extension allows you to mark the desired data and prepares the CSS Selectors/XPaths required for data extraction. Also, it helps you preview how the data appears to be.
Note that if you want only the data just like the data shown above, then you do need to rely on Selectorlib.
Now, you can see the fields being marked up for data to enable data scraping with the help of Selectorlib Chrome Extension.
After you have finished building the template, just click on “Highlight” to show up preview the selectors. Lastly, click on “Export” and then download the file – YAML which is the selectors.yml file.
This is how your template file (selectors.yml) would appear like
Run Total Wine & More Scraper
Here, you need to include the URL that you wish to scrape into urls.txt (text file) in a similar folder.
Here is the content of the urls.txt file
https://www.totalwine.com/spirits/scotch/single-malt/c/000887?viewall=true&pageSize=120&aty=0,0,0,0
Now, use the following command to run the scraper
python3 products.py
Challenges You May Face Using the Code and Other Tools or Copied Scripts Taken From the Internet
Code degenerates with time and as the website changes. Thus, code or old scripts corrupt with time.
Some of the problems you may come across using this code/tool not maintained for long are
With the change in website structure, for instance, the CSS selector used above to determine Price in the file selectors.yml (price__1JvDDp_x) is prone to change with each passing day.
The website can obstruct IP address/Ips from the Proxy provider
The website can obstruct the design for restoring the script's uses
The website can also restrict a user-agent
The website can include fresh data points or change a new one
Conclusion
To overcome the above challenges and many others, you can seek consultation from expert web data extraction companies like Actowiz Solutions for better data insights. We help you eliminate the hurdles faced after using internet-based DIY scripts and tools. We assist you to avoid trial and error and offer web scraping services that prevent the degeneration of code in the long run. With the help of our skilled API developers,’ you can sail through an easy scraping process even for complex projects. Let us connect to discuss your data scraping needs today.
IntroductionIn this blog, we will discuss about how to build a web scraper that will get latest delivery status and price for liquor from local wine and different store.At RetailGators, we can scrape the following data fields from total wine & wine store:Name of WinePricing of WineSize of QuantityStock of LiquorDelivery Available orURL of WebsiteWe can save data in CSV or Excel format.It is Mandatory to Install-Package to Route Total Wine and Other Web Store ScraperWe can use Python 3 for libraries and this you can do in Cloud or VPS or a Raspberry Pi.We can easily use these libraries: -Python Request is for making various request to download HTML content.
(http://docs.python-requests.org/en/master/user/install/)Selectorlib for extracting data using the YAML file we have developed from different websites that we have downloaded.Easily Install them with pip3.Installing Request for pip3 selectorlibPython CodeContact us for full code which is use in this Blog.https://www.retailgators.com/You can make the file name products.py or you can paste the Python code is given in it.from selectorlib import Extractorimport requestsimport csve = Extractor.from_yaml_file('selectors.yml')def scrape(url):headers = {'authority': 'www.totalwine.com','user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.122 Safari/537.36','accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9','referer': 'https://www.totalwine.com/beer/united-states/c/001304','accept-language': 'en-US,en;q=0.9',}r = requests.get(url, headers=headers)return e.extract(r.text, base_url=url)with open("urls.txt",'r') as urllist, open('data.csv','w') as outfile:writer = csv.DictWriter(outfile, fieldnames=["Name","Price","Size","InStock","DeliveryAvailable","URL"],quoting=csv.QUOTE_ALL)writer.writeheader()for url in urllist.read().splitlines():data = scrape(url)if data:for r in data['Products']:writer.writerow(r)The Code can do below mention things: -You can easily read the list of URLs and Wines from the file name urls.txt (This file contains URLs for TWM products page like Scotch, Beer, & Wines, etc.
)Using selectorlib YAML file, we can identify Total Wine pages’ data in the file name selectors.yml (Want to know more, how you can create the file you will come to know in this Blog).Extract the DataDownload data in CSV Spreadsheet layout data.csv name.Create a YAML file name selectors.ymlProducts:from selectorlib import Extractorcss: article.productCard__2nWxIKmimultiple: truetype: Textchildren:Price:css: span.price__1JvDDp_xtype: TextName:css: 'h2.title__2RoYeYuO a'type: TextSize:css: 'h2.title__2RoYeYuO span'type: TextInStock:css: 'p:nth-of-type(1) span.message__IRMIwVd1'type: TextURL:css: 'h2.title__2RoYeYuO a'type: LinkDeliveryAvailable:css: 'p:nth-of-type(2) span.message__IRMIwVd1'type: TextRun Total Wine Store as well as more ScraperYou need to add URL that require to extract the text file name URLs.txt with same folder.In this urls.txt file,https://www.totalwine.com/spirits/scotch/single-malt/c/000887?viewall=true=120=0,0,0,0After that you need to route scraper in given command:python3 products.pyYou May face some Problem using Code as well as other Tools or Copied from the InternetFor Example, a website validates its structure like CSS Selector we use for price in the selectors.yaml file name price_1 JvDDp_x will change as time passes or every day.The Website may block an IP address or IPs from the Proxy provider.The Website may block the design of retrieving the script’s uses.The Site May Block a User-Agent.The Site May add new data points or transforms a new one.There are many reasons for taking full-service from enterprise companies like RetailGators work best than other tools, DIY scripts, and products.
RetailGators is a one stop solution for eCommerce Data Scraping.
If you need any help with Liquor Shop Data Scraping Services, then you can contact us for all your quotes.source code: https://www.retailgators.com/web-scraping-liquor-prices-and-delivery-status.php
Why Should Entrepreneurs Use E-Commerce Scrapers?Scraping data from websites is a rapid and efficient approach to gather and categorize information for future analysis and processing.
Lead Generation Scrapers can also help your e-commerce business generate more leads.
SEO Analysis Finally, e-commerce scraping can provide you with a competitive advantage when it comes to SEO analysis.Scraping your competitors’ websites can provide you with useful SEO analysis information, such as Meta descriptions, titles, keyword density, and the type of content they publish.
You may detect purchasing patterns and determine what works for your e-commerce website by researching customer behavior and data trends.When it comes to streaming real-time data for your e-commerce site, there are three main aspects to consider:1.
If that’s the case, concentrate on those details and customize messaging to build long-term relationships with customers.2.
Customer Acquisition You may design new targeting strategies that cut advertising expenses and increase company agility by examining what attracts new customers to a business.3.
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