SocQ
SocQ is a unified social media data API that provides programmatic access to public data across major platforms including Instagram, TikTok, YouTube, Facebook, X (Twitter), LinkedIn, Reddit, Pinterest, and Threads. It offers endpoints for scraping profiles, posts, videos, comments, ad libraries, and follower counts. The API uses a RESTful design with Bearer authentication and returns normalized JSON responses, abstracting away the differences between platform-specific data structures. All requests are asynchronous, requiring task submission and polling for results, which makes it suitable for high-volume data extraction without timeouts. The service includes a dashboard for managing API keys, monitoring usage, and inspecting request logs. It is positioned as 'AI-Agent-Ready,' with integrations like an MCP (Model Context Protocol) server for connecting AI agents, a CLI for scripting, and pre-built skills for common research workflows. SocQ aims to be the easiest social data layer for developers building applications that need reliable, scalable access to social media information.
- Category
- AI Social Media
- Pricing
- Unknown
Problem solved
Extracting public social media data programmatically is challenging due to platform-specific APIs, rate limits, data inconsistency, and the need for scraping infrastructure. SocQ solves this by offering a single, consistent REST API with normalized JSON responses across multiple platforms, handling authentication, rate limiting, and data parsing behind the scenes.
Use cases
- Social listening and brand monitoring
- Creator and influencer intelligence
- Lead enrichment from social profiles
- Content monitoring and compliance
- Market research and trend analysis
- Building AI agents that require real-time social data
- Automated reporting on social media metrics
Audience
- Developers
- ML Engineers
- Data Scientists
- Product Managers
- Researchers
Pros
- Unified API across many major social platforms
- Normalized JSON responses simplify integration
- Async task model handles large or slow requests reliably
- AI-agent integrations (MCP, CLI, Skills)
- Dashboard with request logs and usage visibility
Cons
- Pricing details are not publicly available, potential cost uncertainty
- Platform APIs are marked as Beta, indicating possible instability or changes
- Lacks real-time streaming; relies on polling for results
- Limited to publicly accessible data only
- No official SDKs documented; only raw REST and MCP integration
Official website: http://socq.ai/
Canonical LambdaBase page: https://www.lambdabase.com/tools/socq