The organization is the global leader in Online Store Analytics, which has some popular Brands from Fortune 500 list in their Clientele. Their Client take maximum use of the solution to analyze brands from various perspectives to protect the Brand reputation.
The organization was facing a challenge to get accurate data feeds as few of the Marketplaces were publishing the special discounted price, distinct product features, and unique product image on Mobile Apps only and not on Web Portals. The real challenge in terms of defining the right strategy to meet the demands of their esteems clients were to keep track on their Brand across the distribution channels including various eCommerce websites and Mobile Apps.
Using Mobile App Scraping (MAS), organization was able to extract pricing data in large volume from multiple Mobile Apps in quick time, which allowed them to increase the count of Mobile Apps for in-depth pricing strategy analysis and enable them to focus more on other aspects of their business.
Setting up the Crawler – The crawler was initially configured such that it could automatically scrape product price and essential data fields for present categories on a daily basis.
Data Template : A template was created utilizing data structuring based on the schema provided by the customer.
Delivery of Data : Without any manual input from either side, the closing data was supplied in an XML format through Data API regularly.
The dataset had all the information including comments, news timelines, most viewed articles, customer behaviour, etc. All of the scraped data was indexed using hosted indexing components, and search APIs were made available so that a client could get the results every few minutes.
- Overcome the bottleneck of manual process
- Improvement in productivity due to cleansed & timely data
- Increase the coverage for more No. of Mobile Apps
- Shopping the Mobile App from Country specific IP address
- End to end integration with existing system
- Reduce in overall cost of operation