The DataOx blog

Do you know that job-related data stands out as one of the most required information? By Scraping Indeed.com, you can get the most actual job data, analyze trends of the job market, investigate the Indeed resume dataset, or even gather data about IT job listings with salaries based on location. If you have some coding skills, try to scrape Indeed using Selenium with DataOx experts.

Today, Yahoo Finance is one of the most popular financial web sources with free access. Through this article, we’ll build a web crawler for scraping real-time stock data and other most active Yahoo Finance data like world indices, currencies, and cryptocurrencies. Let’s reveal what Yahoo Finance is, why to scrape financial data, and how to download data from Yahoo Finance with Python.

In recent years RSS feed has gained popularity. Initially, blogs popularized them, and later on the major News Sites, social networks, and forums started using them. However, there are websites that do not provide them, and it may annoy the users who use them actively. Some online tools help to turn any website into an RSS feed. Check how you can find or even create, an RSS feed for any site.

Today Walmart is one of the most popular e-commerce portals in the world, and it has the biggest turnover with its chain of various companies. If you have an e-commerce business, scraping product data from other e-commerce portals like Walmart is one of the most important tactics. In order to learn how to download Walmart products lists with the help of web scraping services keep reading.

Data extracted from e-commerce giants like Alibaba.com is a potential help to businesses that operate in the sphere of e-commerce and not only. This gives you a great opportunity to do comprehensive competitive research, market analysis, and price comparison. However, extracting the required Alibaba data is a real challenge if you are not familiar with web scraping. But if you know the stuff and have some coding skills go through this article to find out how to extract Alibaba products’ data using Scrapy.