Why and How to Scrape Geospatial Data from the Web – PromptCloud
What do the words GeoSpatial data even mean? In simple terms, a data set containing geographic data field to in form of location information such as coordinates, city, address, zip code, etc. can be considered as geospatial data. Generally these data sets are used to depict certain conditions (people, traffic, etc.) in a location at […]
Read MoreScrape real estate from Trulia using Python
Trulia is a website that set shop in 2005, initially with real-estate listings in California. An interactive map with commuter and transit data shows the driving or commute times of the property from any given location in the United States, thus making Trulia an ideal choice to scrape real estate data. The best features of […]
Read MoreWeb Scraping to Enforce Minimum Advertised Price (MAP) – PromptCloud
In the age of brick and mortar retail stores, MAP or Minimum Advertised Price used to to be a safeguard for manufacturers. Let me explain with an example. Suppose you are a manufacturer of pumps. Your cost to manufacture each pump is around 20 USD. You sell them to a retailer at $30 each. He, […]
Read MoreWeb scraping in GDPR Era – Impact and Opportunities
Like always, first things first. If you go on to google GDPR, chances are that this definition by Wikipedia will come up on top The General Data Protection Regulation “The General Data Protection Regulation (EU) 2016/679 (“GDPR”) is a regulation in EU law on data protection and privacy for all individuals within the European Union […]
Read MoreScrape Amazon Product Reviews and Pricing Data Using Python
Sun Tzu said in The Art of War, “If you know the enemy and know yourself, you need not fear the result of a hundred battles.” This holds true for almost every business, especially the e-commerce business. You may you have the right idea, the right people, the right USP, the right products, and the […]
Read MoreLesser Known but Effective Web Scraping Technology
Ever wondered how we started storing and maintaining data? Flash drives became popular only around the early 2000s years. Yet the big data analytics market is set to reach $103 billion by 2023! Web crawling and scraping technologies are finding increasing relevance as we continue to generate megabytes of data in seconds. The most popular uses […]
Read MoreScrape Hotel Data Using Python
Founded in the year 2000, Boston based travel website is one of the most used travel portals around the world. But with so many users and hotels and bookings, and reviews, you can understand the magnitude of travel data generated. So let’s see what to do with that data, and how to scrape hotel data […]
Read MoreKardmatch Offers Free and Easy Credit Card Comparison to Clients
Comparison websites are popular in the Ecommerce and the Travel industries and often act as the primary source of information in the customer’s decision-making process. However, the finance industry is still new to the comparison portals. Kardmatch offers solutions around credit card comparison and offer-aggregation on various credit cards across Mexico. Comparison portals are a […]
Read MoreAmazon’s Intelligent Recommendation Encourages Impulse Buys
From selling books from a garage, under the initial name of Cadabra in 1994, to becoming a global internet giant, Amazon has come a long way. No wonder web scraping Amazon is becoming the go-to practice for almost every eCommerce business today. With 1,000,000,000 gigabytes of data, amazon web crawler makes more sense than crawling […]
Read MoreWhat are the main Applications of Text Data Mining and Analysis?
With the rise of big data, companies have been bombarded with more and more organizational data, mostly in the form of text. The best way to handle this data stream is text mining or textual analytics. Text analytics is mainly the processing of a gigantic collection of textual information to find connections that are not […]
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