Marketing Manager at Datahut for 6+ years. Leading content strategy for the company and Scales Demand generation. Writes extensively about web scraping techniques, e-commerce data analysis, and pricing intelligence.
ecommerce-operations
Historically, real estate has been a big player in the investment market and it will remain so. The reason is simple: we all need real estate to build homes and run businesses. Getting the best value out of real estate investment is difficult but not impossible. Sensing the market dynamics and findi
data-analytics
In recent years, India has become a very important market for makeup brands. Thanks to the rising purchasing power of women in urban areas, an increasing focus on beauty and fashion, and a growing middle class, the Indian cosmetics market has boomed. As more and more international brands enter the c
data-analytics
The Indian washing machines market is expected to grow between 3 - 4 CAGR from 2021 to 2025. For a country with over a billion people, that represents a huge opportunity for domestic players to cater to both rural and urban markets which are hugely dominated by multinational companies like LG and Sa
web-scraping-tutorial
Linkedin is one of the largest professional social networking sites in the world and holds a wealth of information about industry insights, data on professionals, and job data. One of the most commonly used tools to extract large amounts of Linkedin public data is Web Scraping. Why Scrape Linkedin p
ecommerce-data
Do you often see product listings like these when you search for a product on Google?As a retailer don’t you want your product to automatically pop-up in the list of suggestions for search queries? Don’t you wish to gain higher visibility across multiple channels? How gratifying it would be to have
explorations
Every industry boasts of a plethora of brands battling for a higher market share! But how do these brands manage to keep their game up? How do they even determine their next objective and what their strategy should be in this game? All these answers lie in what their customers believe and feel about
ecommerce-data
Amazon has been on the cutting edge of collecting, storing, and analyzing a large amount of data. Be it customer data, product information, data about retailers, or even information on the general market trends. Since Amazon is one of the largest e-commerce websites, a lot of analysts and firms depe
amazon
To scrape data from Amazon using Python's Scrapy framework, you'll need to set up a Scrapy project, create a spider to define your scraping logic, and handle potential anti-bot measures. This involves defining items to store the scraped data, writing parsing functions to extract specific information
ecommerce-operations
Web scraping is a process to extract data from websites. The extracted data can then be transformed and analyzed in other formats like XML, CSV, and JSON to perform other tasks as per needs. In this post, we are going to discuss various open-source web scraping frameworks and libraries available in
scrapy
Every business today relies on web data - whether it’s tracking competitor prices, monitoring trends, or collecting product information at scale. Behind all of this sits one core engine: a web crawler. In this guide, we’ll walk you through how crawlers work, the different types, and how you can buil
ecommerce-data
By now, everyone has figured out that data means opportunity. But how exactly does data become an opportunity?Markets are volatile and most products have a limited window of opportunity. Businesses need to improve engineering and design and to develop the features and personalization their customers
explorations
Data will save the Travel and Tourism Industry From The COVID-19 shock. In the wake of the coronavirus pandemic, travel and tourism are one of the hardest-hit industries among all businesses affected. The pandemic has impacted the airlines and hospitality industry severely with projected revenue los