System and Method for Automatically Matching Product Data

1 . A method of automatically matching target product data to reference product data, the method comprising:

at a server system including one or more processers in communication with a database:

retrieving target product data corresponding to a target product including target product price and interaction data corresponding to a number of interactions with a rendering of the target product at a target user interface (UI);

determining a web-scraping frequency based on the interaction data;

executing web-scraping of a reference UI to retrieve reference product data corresponding to a reference product based on the web-scraping frequency, the reference product data including a reference product price;

matching the target product data to the reference product data meeting predefined criteria by updating the target product price a new target product price equal to the reference product price; and

automatically rendering the target product with the new target product price at the target UI.

2 . The method of claim 1 , wherein the interaction data includes: i) a number of selections of the rendered target product at the target UI and ii) a number of requests to purchase the rendered target product received at the target UI.

3 . The method of claim 1 further comprising:

at the server system, preventing the new target product price from being updated for a predetermined amount of time.

4 . The method of claim 1 further comprising:

at the server system:

retrieving the target product data for a plurality of different target products;

determining web-scraping frequencies for each target product of the plurality of target products based on the corresponding target product data; and

for each target product of the plurality of target products:

executing web-scraping of the reference UI to retrieve reference product data for reference corresponding to the target product based on the web-scraping frequency, the reference product data including a reference product price;

determining that the reference product price is less than the target product price;

updating the target product data to generate a new target product price equal to the reference product price; and

automatically rendering the target product with the new target product price at the target UI.

5 . The method of claim 1 , wherein executing web-scraping of the reference UI to retrieve reference product data includes web-scraping a plurality of reference UIs to retrieve a plurality of reference product data and the method further includes:

updating the target product data to generate the new target product price equal to one of a reference product price corresponding to one of the plurality of retrieved reference product data meeting the predefined criteria.

6 . The method of claim 5 , wherein updating the target product data includes determining at least one of: i) the lowest reference product price included in the plurality of reference product data meeting the predefined criteria, and ii) a hierarchical ranking of the plurality of reference UIs.

7 . A system for automatically matching target product data to reference product data, the system comprising:

a server system including one or more processers in communication with a database, the server system configured to:

retrieve target product data corresponding to a target product including target product price and interaction data corresponding to a number of interactions with a rendering of the target product at a target user interface (UI);

determine a web-scraping frequency based on the interaction data;

execute web-scraping of a reference UI to retrieve reference product data corresponding to a reference product based on the web-scraping frequency, the reference product data including a reference product price;

match the target product data to the reference product data meeting predefined criteria by updating the target product price a new target product price equal to the reference product price; and

automatically render the target product with the new target product price at the target UI.

8 . The system of claim 7 , wherein the interaction data includes: i) a number of selections of the rendered target product at the target UI and ii) a number of requests to purchase the rendered target product received at the target UI.

9 . The system of claim 7 , wherein the server system is further configured to prevent the new target product price from being updated for a predetermined amount of time.

10 . The system of claim 7 , wherein the server system is further configured to:

retrieve the target product data for a plurality of different target products;

determine web-scraping frequencies for each target product of the plurality of target products based on the corresponding target product data; and

for each target product of the plurality of target products:

execute web-scraping of the reference UI to retrieve reference product data for reference corresponding to the target product based on the web-scraping frequency, the reference product data including a reference product price;

determine that the reference product price is less than the target product price;

update the target product data to generate a new target product price equal to the reference product price; and

automatically render the target product with the new target product price at the target UI.

11 . The system of claim 10 , wherein the server system is further configured to web-scrape a plurality of reference UIs to retrieve a plurality of reference product data and update the target product data to generate the new target product price equal to one of a reference product price corresponding to one of the plurality of retrieved reference product data meeting the predefined criteria.

12 . The system of claim 11 , wherein the server system is further configured to determine at least one of: i) the lowest reference product price included in the plurality of reference product data meeting the predefined criteria, and ii) a hierarchical ranking of the plurality of reference UIs when updating the target product data.