This paper discusses two pipelines for the auto- matic collection of automatic speech recognition (ASR) transcripts and audio content from YouTube videos and subsequent phonetic analysis: PEASYV (Phonetic Extraction and Alignment of Subtitled YouTube Videos) and YTPP (YouTube Phonetics Pipeline). The pipelines differ somewhat in terms of processing steps as well as the tools used for forced alignment, but produce comparable results. The two pipelines may be useful for large-scale collection of acoustic data for phonetic analysis.