Microbial communities metabolize plant biomass using secreted enzymes; however, identifying extracellular proteins tightly bound to insoluble lignocellulose in these microbiomes presents a challenge, as the rigorous extraction required to elute these proteins also lyses the microbes associated with the plant biomass releasing intracellular proteins that contaminate the metasecretome. Here we describe a technique for targeting the extracellular proteome, which was used to compare the metasecretome and meta-surface-proteome of two lignocellulose-degrading communities grown on wheat straw and rice straw. A combination of mass spectrometry-based proteomics coupled with metatranscriptomics enabled the identification of a unique secretome pool from these lignocellulose-degrading communities. This method enabled us to efficiently discriminate the extracellular proteins from the intracellular proteins by improving detection of actively secreted and transmembrane proteins. In addition to the expected carbohydrate active enzymes, our new method reveals a large number of unknown proteins, supporting the notion that there are major gaps in our understanding of how microbial communities degrade lignocellulosic substrates.