Web Scraping

We use in-house price crawling software to scrape competitors’ prices and other product data to feed to our powerful pricing engines.


Building the right price perception is the key to retaining customers. As the market is becoming increasingly dynamic, businesses require ever-fresh competitive data to set optimal prices. We use in-house price crawling software to scrape competitor’s prices and other product data to feed to our powerful pricing engines.

Use of Price crawling

Price data fetched from E-commerce sites being the main data requirement for arriving at Optimal Price, this should be taken care of with utmost care. Price crawling services can provide continuous feeds at the desired frequencies depending on our requirement. It is ideal to depend on a price crawling service provider as it will give you more time to concentrate on other aspects of your website apart from data.

E-commerce companies

Price crawling services can benefit E-commerce companies in a variety of ways. The pricing of products by a competitor can be extracted in bulk and this data can be used while deciding the prices for similar products on your platform. Many E-commerce companies depend on price data crawling services to get an idea about the competitors pricing. This data can also be very helpful in gap analysis and gaining product intelligence. Price point analysis will help E-commerce companies price their products in such a way that it doesn’t incur loss. It can also help in understanding your competitors’ catalog selection.


Checcked Can be used for brand monitoring

Checcked Sentiment analysis of products

Checcked Product reviews analysis

Checcked Analysis of pricing trends

Checcked Fetch updated price for product


We set up crawlers to extract price data from E-commerce sites from a specified or all categories depending on the client’s requirement. The crawled price data is cleaned up to remove unwanted elements that find their way into the crawled data. Finally, we deliver clean data in the client’s preferred format.

The in-house crawling tool is built using the ‘Web Crawling Framework’, Scrapy that is written using ‘Python Script’. The ‘Scrapy’ used to extract the data from ‘Web Page’, with the help of Selectors based on XPath. The in-house crawling tool is customized completely as per client’s requirement using ‘Python Script’.

The Application: Arriving at Rental Price

Based on the Client’s Strategy the following Four Criteria are considered for deriving the ‘Rental Price’ for any Given Product that falls under any of the Listed Categories and SubCategories:

Checcked The derived Optimal Retail Price

Checcked The Percentage applied based on Listed Price Range

Checcked The Percentage applied based on Rental days

Checcked The Percentage applied based on the Product Condition

The Four Fields, viz. Product ID, Product Name, Product Brand and Product Model are taken from the Client supplied ‘Product Intake Master Document’. The ‘URL for Search’ is constructed using these Four Fields. This URL is used in ‘Crawling Tool’ to Crawl various ‘Product Data’ from different WebSites like, HomeDepot, Walmart, Amazon, Lowes, eBay, Hamilton Beach, Party Perfect, Green Top etc.

Optimal Retail Price Evaluation

The application developed in ‘OpenCart’ Platform, reads these ‘Product Data’ in the ‘CSV’ format, and Uploads into Backend ‘MySQL’ Database. The Client Strategy is applied over these ‘Product Data’ from various Competitor WebSites, and the ‘Optimal Retail Price’ is decided for any given product.