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<blockquote data-quote="zeflash" data-source="post: 152345" data-attributes="member: 13641">That is already possible I believe. You need to tweak your import regular expressions in order to look for that backed-up word, capture it in a group name (like, backed_up <img src="data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7" class="smilie smilie--sprite smilie--sprite1" alt=":)" title="Smile&nbsp; &nbsp; :)" loading="lazy" data-shortname=":)" /> ).After a local scan, a new column (named as the capture group name, in your case backed_up) will be there in DBEpisodes.Then you only need to add a new logo rule based on the presence or absence of data in that column.We can't possibly include base rules for every use case, I believe you can understand that <img src="data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7" class="smilie smilie--sprite smilie--sprite1" alt=":)" title="Smile&nbsp; &nbsp; :)" loading="lazy" data-shortname=":)" />In your case it requires changes to the parsing expressions too, that's your responsability.</blockquote>

[QUOTE="zeflash, post: 152345, member: 13641"] That is already possible I believe. You need to tweak your import regular expressions in order to look for that backed-up word, capture it in a group name (like, backed_up :) ). After a local scan, a new column (named as the capture group name, in your case backed_up) will be there in DBEpisodes. Then you only need to add a new logo rule based on the presence or absence of data in that column. We can't possibly include base rules for every use case, I believe you can understand that :) In your case it requires changes to the parsing expressions too, that's your responsability. [/QUOTE]

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