Machine learning based approach for automatically identifying and extracting transactions from webpages

A system for training a machine learning model to automatically identify and extract transactions from webpages, the system comprising:

• a memory including computer executable instructions;
• and
• a processor configured to execute the computer executable instructions and cause the system to:
• obtain sample data from a webpage, the sample data including:
• (i) a plurality of live transactions;
• and (ii) a first set of labels, each label in the first set of labels corresponding to a respective attribute of a plurality of different attributes of each of the plurality of live transactions;
• generate training data based on the sample data, the training data comprising:
• (i) a plurality of synthetic transactions;
• and (ii) a second set of labels including one or more labels that differ from each label included in the first set of labels;
• and
• train the machine learning model to automatically identify and extract transactions from webpages using the training data.