We want to scrobble fashion articles for store listings & locations, add new stores found in this way to our database for further review and additional information to be added by a human, and to tag both these new additions and already-listed stores with a metatag to match them to the articles in which they were mentioned.
1. The source of these articles could be an RSS feed with filters assuring "Stores Listed" in the content. Automation is prioritized. The content selection would be handled on our end.
2. All prefiltered articles go through the scrobbler to extract listed stores and locations (if available), which are then added to our database.
2a. We'd like to feed in Google data to prepopulate location - potentially also opening & closing times, and short description if available.
3. Newly added stores are tagged with "to review." Both new and already-existing stores are tagged with the title of the article in which they were referenced.
The content will be processed into store recommendations.
Sample usecase: Vogue releases "Top 10 NY Store Openings this Week." The article is passed through our scrobbler to extract the names and locations. 3 new stores are added to our database with name, location, and additional Google data. All 10 stores receive the new tag "Top 10 NY Stores Opening this Week via Vogue."