SocialKit API
SocialKit · Video · Marketing
SocialKit API is a developer-facing platform that scrapes and analyzes social media data across YouTube, TikTok, Instagram, Facebook, X, and LinkedIn from a single endpoint. It returns transcripts, summaries, comments, profile details, posts, and engagement stats as clean JSON, so your team doesn't have to babysit proxies or parse messy HTML. Most requests cost 1 credit, and a free tier lets you test every API before you pay.
About SocialKit API
What Is SocialKit API
SocialKit API is a social media data API that handles the ugly parts of scraping for you. YouTube, TikTok, Instagram, Facebook, X, and LinkedIn all structure their pages differently. Each one blocks automated traffic in its own way. And they change those defenses often. SocialKit wraps all of it behind one interface: you send a URL, you get structured JSON back.
This social media API for developers is built for teams that ship on social data. Instead of maintaining a fleet of scrapers, you call an endpoint for transcripts, summaries, comments, stats, profiles, posts, search, or downloads. The same API layer feeds dashboards, AI workflows, databases, and automation tools.
So what's the catch? The credit model. Every request draws from a shared credit pool. Heavier jobs burn more. Longer videos and requests that return more results cost extra, sometimes well above the standard 1 credit. If you're running large volumes, the per-credit rate is the number to watch, not just the monthly fee. There's also a first-party Claude Code skill, a hosted MCP server, and a plain REST API, all officially maintained, which means your AI agents can call SocialKit without custom glue code.
Getting Started
- Sign up at socialkit.dev. No credit card is required to start, and the free tier includes 20 credits with a 40 requests-per-minute limit.
- Grab your access key from the dashboard once you're in.
- Pick the API you need, whether that's the YouTube transcript API, a TikTok scraper endpoint, or something for profiles and stats, then paste the social media URL you want to process.
- Run the request from the dashboard or call the API directly with your access key. The response comes back as JSON you can drop straight into your app.
- Point the output wherever it belongs: an AI workflow, a report, a database, or a no-code tool like Zapier, Make, or n8n.
Product Information
A quick look at SocialKit API's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Developers building social features
- Data and growth teams
- AI engineers
Tasks
- Extracting YouTube and TikTok transcripts
- Tracking engagement metrics
- Feeding AI pipelines
- Connecting no-code automation
Scenarios
- Weekly social media reports
- Content research
- Comment moderation research
Key features
One API Across Six Platforms
SocialKit covers YouTube, TikTok, Instagram, Facebook, X, and LinkedIn through a single interface, plus direct video file uploads. You learn one response shape and reuse it. No separate tool per platform. No per-platform auth flow either. For teams juggling several networks, that's the core draw.
Transcripts and AI Summaries
The transcript endpoints return full spoken content from videos. The summary endpoints turn that into key points, topics, and sentiment. This is the pipeline AI builders reach for most, since raw transcripts are painful to source at scale and expensive to assemble by hand.
Engagement and Profile Data
Views, likes, comments, follower counts, and profile details come back as clean JSON fields. You get the metrics you'd otherwise scrape and normalize yourself. That saves the slowest part of any social analytics build.
Managed Infrastructure
Proxies, page parsing, platform differences, and output cleanup all sit behind the API. Your team doesn't rotate IPs. You don't chase broken selectors when a platform ships a redesign. That maintenance load is the real product here, not the endpoints.
AI Agent Support
SocialKit ships a first-party Claude Code skill, a hosted MCP server, and a plain REST API, all officially maintained. Agents in Claude, Cursor, or any MCP client get every endpoint as a first-class tool. The REST API wraps cleanly into OpenAI, LangChain, or CrewAI function calling.
No-Code Integrations
Native connections for Zapier, Make, and n8n let non-developers route social data into apps and automations. You can also drop in your access token to wire the API into any other no-code platform.
Pros and cons
Pros
- One API layer for six major platforms, so you avoid separate scrapers and auth setups.
- Clean JSON responses with transcripts, summaries, stats, and comments ready to use.
- Free tier with 20 credits and no credit card required, enough to test every endpoint.
- Official Claude Code skill and MCP server make it easy to plug into AI agents.
- Managed proxies and parsing mean no scraper maintenance on your side.
Cons
- Credit-based pricing adds up fast on large jobs, since longer videos and higher result counts cost more than 1 credit.
- Rate limits on the free plan cap you at 40 requests per minute. That's tight for anything past testing.
- It's a developer tool first. Non-technical users will need the no-code path or help to get value from it.
Frequently asked questions
It's used to extract and analyze social media data programmatically. Common uses include pulling YouTube and TikTok transcripts, tracking engagement metrics, collecting comments for sentiment analysis, and feeding that data into AI workflows, reports, or databases.
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