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Crawl Articles | Blogs | Twitter for scraping celebrity gossips | PromptCloud
 

Celebrity Gossips From Around The Web

Use case from Hosted Indexing

The Client: An entertainment publisher focused on Hollywood celebrities with sites across countries

The Challenge: The client was into curating content from the web about celebrity likes, dislikes or what they otherwise do via their interviews, articles, blogs or Tweets. Since the content they were interested in publishing only had to revolve around few things and not all, they had a predefined list of around 500 keywords based on which their editors manually searched the web. This process was not scalable for obvious reasons and automation was required.

The Solution: PromptCloud used its core technology to crawl multiple sources at the same time and extract all meaningful information that matched the pre-defined set of keywords. This process ran everyday to curate all the content and got indexed using PromptCloud’s hosted indexing solution. Indexed data was then uploaded on an interface that the client’s editors could look at, and get the list of all URL’s valid for a particular celebrity. This story was then used to create content on the client’s website that catered to a huge audience interested in celebrity gossips.

Benefits
  • Editors’ efforts channelized towards creating content from provided data versus researching content
  • 100% coverage and data uploaded at desired frequencies
  • Dynamic list of celebrities, keywords and web sources
  • 50% reduction in costs at client’s end

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