A system for harvesting, parsing, and analyzing item identifiers in networked content to identify fraudulent content, the system comprising: a computing system communicatively coupled to data sources in a networked environment, the data sources including one or more remote servers that are configured to host content; one or more local servers being disposed in the computing system, the one or more local servers being programmed to: search, via a harvest engine executed by the one or more local servers, the content hosted by the one or more remote servers in the networked environment based on at least one first item identifier, wherein the harvest engine builds a plurality of queries from a single set of search terms, at least one of the plurality of queries built by the harvest engine converting a GTIN into a marketplace specific identifier with query syntax to target specific webpages in a website; receive a set of search results in response to searching the content, wherein each search result is associated with an item identified in the content; harvest the set of search results from the data sources; parse, via an extraction engine executed by the one or more local servers, a plurality of item identifiers from each search result in the set of search results, the plurality of item identifiers including at least a GTIN and a brand name for each search result and being stored in an identifier database; analyze, for each search result in the set of search results, whether the GTIN is legitimate or fraudulent based on the brand name; and tag each search result in the set of search results in the identifier database as legitimate or fraudulent based on the analysis. a computing system communicatively coupled to data sources in a networked environment, the data sources including one or more remote servers that are configured to host content; one or more local servers being disposed in the computing system, the one or more local servers being programmed to: search, via a harvest engine executed by the one or more local servers, the content hosted by the one or more remote servers in the networked environment based on at least one first item identifier, wherein the harvest engine builds a plurality of queries from a single set of search terms, at least one of the plurality of queries built by the harvest engine converting a GTIN into a marketplace specific identifier with query syntax to target specific webpages in a website; receive a set of search results in response to searching the content, wherein each search result is associated with an item identified in the content; harvest the set of search results from the data sources; parse, via an extraction engine executed by the one or more local servers, a plurality of item identifiers from each search result in the set of search results, the plurality of item identifiers including at least a GTIN and a brand name for each search result and being stored in an identifier database; analyze, for each search result in the set of search results, whether the GTIN is legitimate or fraudulent based on the brand name; and tag each search result in the set of search results in the identifier database as legitimate or fraudulent based on the analysis. search, via a harvest engine executed by the one or more local servers, the content hosted by the one or more remote servers in the networked environment based on at least one first item identifier, wherein the harvest engine builds a plurality of queries from a single set of search terms, at least one of the plurality of queries built by the harvest engine converting a GTIN into a marketplace specific identifier with query syntax to target specific webpages in a website; receive a set of search results in response to searching the content, wherein each search result is associated with an item identified in the content; harvest the set of search results from the data sources; parse, via an extraction engine executed by the one or more local servers, a plurality of item identifiers from each search result in the set of search results, the plurality of item identifiers including at least a GTIN and a brand name for each search result and being stored in an identifier database; analyze, for each search result in the set of search results, whether the GTIN is legitimate or fraudulent based on the brand name; and tag each search result in the set of search results in the identifier database as legitimate or fraudulent based on the analysis.