Identification and curation of application programming interface data from different sources

A method comprising:

• receiving as inputs a plurality of application programming interface (API) documents, wherein the plurality of API documents are respectively configured as electronic files;
• analyzing the electronic files via a first classifier to determine whether one or more schema types are present in the electronic files;
• generating a first classification based on the one or more schema types for the electronic files determined to include the one or more schema types;
• analyzing the electronic files via a second classifier for the electronic files determined not to include the one or more schema types, wherein the analyzing via the second classifier is performed using one or more predictive classifiers generated via one or more machine learning techniques;
• generating a second classification based on the one or more predictive classifiers for the electronic files determined not to include the one or more schema types;
• and
• outputting a plurality of classified API documents based on the first and second classifications;
• wherein the method is performed by at least one processing platform comprising at least one processing device comprising a processor coupled to a memory.

A computer program product comprising a non-transitory processor-readable storage medium having stored therein program code of one or more software programs, wherein the program code when executed by at least one processing platform causes said at least one processing platform to:

• receive as inputs a plurality of application programming interface (API) documents, wherein the plurality of API documents are respectively configured as electronic files;
• analyze the electronic files via a first classifier to determine whether one or more schema types are present in the electronic files;
• generate a first classification based on the one or more schema types for the electronic files determined to include the one or more schema types;
• analyze the electronic files via a second classifier for the electronic files determined not to include the one or more schema types, wherein the analyzing via the second classifier is performed using one or more predictive classifiers generated via one or more machine learning techniques;
• generate a second classification based on the one or more predictive classifiers for the electronic files determined not to include the one or more schema types;
• and
• output a plurality of classified API documents based on the first and second classifications.