SocialKit takes a YouTube, TikTok, Instagram, Facebook, X, LinkedIn, or video-file URL and returns structured JSON you can plug into apps, databases, or AI workflows. It’s for teams that want social content data without building and maintaining separate scrapers per platform.
If you’re building social listening, influencer research, content repurposing, or analytics dashboards, this gives you a consistent data layer to store and analyze. It also fits AI app work where you need repeatable inputs such as transcripts plus summaries, or structured fields you can pass to agents.
SocialKit stands out by keeping the output format consistent across platforms and by offering more than just scraping. It includes tools geared toward AI workflows (first-party Claude Code skill support, an MCP server, and a plain REST API), so teams can choose how they call it depending on their stack. Requests use an access key, and pricing is credit-based, with a free tier for testing.
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