Maintaining an up-to-date product database based on forecast and historical data

A system for maintaining an up-to-date product database, the system comprising:

• a memory configured to store operations;
• and
• one or more processors configured to perform the operations, the operations comprising:
• receiving a description of an event comprising at least one of weather forecast information or historical weather information corresponding to a geographic region;
• identifying a set of sellers that are located in the geographic region where corresponding to the description of the event;
• based on historical information corresponding to the set of sellers and scraped from a web site of each seller of the set of sellers, selecting one or more sellers from the set of sellers as being likely to offer a sale based on the description of the event;
• based on the historical information, scraping online information of one or more products that the selected one or more sellers have offered for sale using a webpage parsing technique;
• comparing the accessed online information of the one or more products offered for sale by the one or more sellers with information from the product database for the one or more products;
• based on the comparison, identifying a product of the one or more products having a first value for a characteristic of the product in the product database that is different from a second value for the characteristic of the product in the accessed online information to update the product database to change the characteristic of the product to the second value;
• and
• displaying the product, and the second value for the characteristic of the product on a display screen.

A non-transitory, tangible computer-readable device having instructions stored thereon that, when executed by at least one computing device, causes the at least one computing device to perform operations comprising:

• receiving a description of an event comprising at least one of weather forecast information or historical weather information corresponding to a geographic region;
• identifying a set of sellers that are located in the geographic region where corresponding to the description of the event;
• based on historical information corresponding to the set of sellers and scraped from a website of each seller of the set of sellers, selecting one or more sellers from the set of sellers as being likely to offer a sale based on the description of the event;
• based on the historical information, scraping online information of one or more products that the selected one or more sellers have offered for sale using a webpage parsing technique;
• comparing the accessed online information of the one or more products offered for sale by the one or more sellers with information from the product database for the one or more products;
• based on the comparison, identifying a product of the one or more products having a first value for a characteristic of the product in the product database that is different from a second value for the characteristic of the product in the accessed online information to update the product database to change the characteristic of the product to the second value;
• and
• displaying the product, and the second value for the characteristic of the product on a display screen.