Product data extraction
Can be used for brand monitoring
Sentiment analysis of products
Product reviews analysis
Analysis of pricing trends
Webscraping with Python
We have built a number of in-house Web Scraping tools to scrape various data attributes including competitors’ prices and other product data to help in the analysis and developing required functionalities. Our data scraping model provides a dynamic, competitive analysis that has helped customers in taking collective business decisions. We use in-house price crawling software to scrape competitor’s prices and other product data to feed to our powerful pricing engines.
Our in-house crawling tool has been built using the ‘Web Crawling Framework’ using Python Scrapy. ‘Scrapy’ was used to extract the data across various websites with the help of selectors based on XPath. The in-house crawling tool can be customized completely as per the client’s requirement using ‘Python Script’.
We have set up crawlers such as extracting pricing data from E-commerce sites from a specified or all categories depending on the requirement. The crawled pricing data is cleaned up to remove unwanted attributes that find their way into the crawled data. Finally, we deliver clean data in the client’s preferred format.
We have extracted customized data using various Web scraping and data scraping techniques involving:
– Web scraping methods
– Beautiful Soup
– Data normalization and distribution methods
– API Design Methods