YT Data Extractor

The extractor delivers a structured data view of YouTube videos by collecting public metadata, transcripts when available, and key engagement metrics. It targets SEO professionals, researchers, and content teams who need repeatable, machine-readable inputs for analysis, dashboards, and competitive benchmarking. By standardizing fields such as title, description, publish date, duration, channel, view counts, like counts, and captions into a single object, it reduces manual scraping and ensures consistent data quality across many videos.
Conceptually, the tool accepts a video URL or ID and a user-selected set of data types, retrieves the corresponding data from public endpoints, and normalizes values for downstream processing. Timestamps are formatted in ISO 8601, durations are converted to seconds, and text fields are cleaned and trimmed. If a transcript is unavailable, the field is left empty. Data is returned in deterministic schemas to facilitate automation.
Who benefits includes SEO analysts performing audits, researchers compiling video corpora, and content teams building data driven strategies. Typical use cases include metadata inventories for keyword research, transcript enabled indexing for search optimization, and automated reporting pipelines that feed dashboards or BI tools. It supports batch extraction for project work and scheduled exports for ongoing monitoring.
Unique value lies in a stable data schema, robust handling of missing or private data, and outputs that are ready for automation. It supports JSON and CSV exports, explicit error fields for failed extractions, and clear data provenance in the metadata. The tool remains front-end agnostic and focused on data quality and scalability.