LurkAPI: social media data for your AI

What LurkAPI: social media data for your AI does

LurkAPI provides structured access to public online content for AI assistants and agent workflows. Its coverage includes social pages, advertisements, user or organization profiles, posts, listings, news, maps, and videos across 16 platforms. Results are returned as clean JSON, giving downstream prompts and applications a consistent data format instead of requiring an agent to interpret page markup directly.

The service is aimed at use cases where an AI system needs to retrieve information from public social and web pages. It can support research, content discovery, profile or post analysis, listing lookup, news retrieval, map-related queries, advertising data access, and video-page collection when the relevant platform is covered.

How it works

LurkAPI is used through the Model Context Protocol. An MCP-compatible AI client can call the service while handling a task, request data from supported public pages or content types, and receive the result as JSON. The service is described as working with Claude through MCP.

Its scope is public data. The listed categories cover pages and content that are publicly available on supported platforms; the available result depends on the platform and the type of page being requested. Coverage spans 16 platforms, though the platform names and per-platform capabilities are not listed here.

Setup and configuration

LurkAPI is accessed through MCP and can be used with Claude. Configuration details such as a package command, endpoint, transport settings, or environment variable names are not included in the available listing, so setup should follow the service’s own MCP connection instructions.

A free trial is offered and does not require signup. That makes it possible to evaluate the service before committing to an account, but trial limits or usage terms should be checked when configuring a client.

Tools and capabilities

The service covers these data categories:

• Public social pages
• Advertisements
• Profiles
• Posts
• Listings
• News
• Maps
• Videos

The common output format is clean JSON. This is useful when an agent needs to pass retrieved fields into later reasoning, filtering, extraction, or application logic. The listing identifies the capability areas but does not provide individual MCP tool names or schemas.

Limitations and notes

LurkAPI is intended for public social and web data rather than private account content. Its coverage is limited to the 16 supported platforms and the page or content types exposed for those platforms. Platform-specific fields, request limits, authentication behavior, pricing beyond the free trial, and data freshness should be confirmed before building a production workflow.

Claude compatibility is explicitly described through MCP. Other client integrations should be evaluated according to their MCP support and the connection method required by LurkAPI.