DataLikers

io.github.subzeroidv1.0.2更新於 Oct 6, 2026

Instagram & TikTok data tools: demographic user search, analytics, posts, comments, hashtags.

已驗證Streamable HTTP可網頁執行Web Search & ScrapingBusiness & CommerceData & Analytics

概覽

AI 產生的概覽

讓助理透過 DataLikers API 查詢 Instagram 與 TikTok 資料，包括使用者搜尋、貼文、留言、主題標籤與分析。

功能
DataLikers 提供 29 個工具，涵蓋 Instagram 與 TikTok 資料。使用者類工具可依使用者名稱或 ID 查詢個人檔案、搜尋使用者、依主題標籤或地點尋找使用者、列出熱門與商業帳號、依性別、年齡、國家等人口特徵搜尋、取得大頭貼，以及查看平均互動量。其他工具涵蓋貼文與 Reels、標題與留言搜尋、主題標籤資訊與趨勢、地點、限時動態與精選動態、音樂曲目，以及資料庫統計。
適用情境
適合助理進行社群媒體研究或受眾分析：尋找創作者或商業帳號、查看互動情形、探索主題標籤與趨勢，或依文字搜尋貼文與留言。它是付費資料 API，適合能接受依請求計費的評估或正式使用情境。
執行需求
需要 DataLikers API 金鑰，透過 DATALIKERS_API_KEY 環境變數或 Authorization bearer 標頭提供。伺服器可作為遠端端點執行，也可透過 npm 套件 datalikers-mcp 在本機執行，需要 Node.js 與 npx。需要連線至 DataLikers API 的網路。選用變數 DATALIKERS_URL 可指向自架執行個體。
安裝前請注意
API 金鑰屬於機密，會傳送給 DataLikers 服務，請勿放入共用設定。請求依用量計費，價格自每請求 0.0003 美元起，註冊贈送 100 次免費請求，大量使用會產生費用。所有請求都會轉送到 DataLikers API，此伺服器只是輕量代理，不會在本機處理資料。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 DataLikers，將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable，透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "datalikers-mcp": {
      "type": "http",
      "url": "https://mcp.datalikers.com/mcp/"
    }
  }
}

README

DataLikers MCP Server

[npm version] [npm downloads] [License: MIT]

MCP server for DataLikers — access Instagram & TikTok data directly from Claude, Cursor, and other AI assistants. Available on npm: datalikers-mcp.

Get 100 Free API Requests

Sign up with this link and get 100 free DataLikers requests — no credit card required. Enough to wire up the MCP server, try a few prompts in Claude/Cursor/Codex, and evaluate the data quality before committing.

Get your free 100 requests here

[DataLikers MCP server]

What is DataLikers?

DataLikers is an Instagram & TikTok data API platform. Search users by demographics, analyze engagement, explore hashtags, and more — all through a simple API. From $0.0003 per request.

Available Tools (29)

Users (10 tools)

ToolDescription
get_user_by_usernameGet user profile by Instagram username
get_user_by_idGet user profile by Instagram ID
search_usersSearch for users by query
get_users_by_hashtagFind users associated with a hashtag
get_users_by_locationFind users by location
get_top_usersGet top users by followers
get_business_usersGet business accounts by category
search_users_by_demographicsSearch by gender, age, race, emotion, country, city, and more
get_user_photoGet user profile photo (returns actual image)
get_user_engagementGet average likes/comments per post

Media & Posts (4 tools)

ToolDescription
get_user_mediasGet user's posts and reels
get_top_mediasGet top posts by likes or comments
search_media_captionsSearch posts by caption text
get_media_by_codeGet post by Instagram shortcode

Comments (2 tools)

ToolDescription
get_comments_by_userGet comments left by a user
search_commentsSearch comments by text

Hashtags (3 tools)

ToolDescription
get_hashtag_infoGet hashtag details and post count
search_hashtagsSearch hashtags by query
get_top_hashtagsGet trending hashtags

Locations (2 tools)

ToolDescription
get_location_infoGet location details
search_locationsSearch locations by name

Stories & Highlights (4 tools)

ToolDescription
get_user_storiesGet user's active stories
get_story_by_idGet a specific story
get_user_highlightsGet user's highlights
get_highlight_by_idGet a specific highlight

Music (3 tools)

ToolDescription
search_tracksSearch music tracks used in reels
get_track_by_idGet track details
get_top_tracksGet trending tracks

Analytics (1 tool)

ToolDescription
get_statsGet database statistics (total users, posts, comments, etc.)

Quick Start

  1. Get your API key at datalikers.com
  2. Install in your AI assistant (see below)
  3. Ask Claude: "Find Instagram users in New York with 10k+ followers"

Claude Desktop

Add to your claude_desktop_config.json:

json
{  "mcpServers": {    "datalikers": {      "command": "npx",      "args": ["-y", "datalikers-mcp"],      "env": {        "DATALIKERS_API_KEY": "your-api-key"      }    }  }}

Claude Code

bash
claude mcp add datalikers -- npx -y datalikers-mcp \  --env DATALIKERS_API_KEY=your-api-key

Cursor

Add to Cursor MCP settings (.cursor/mcp.json):

json
{  "mcpServers": {    "datalikers": {      "command": "npx",      "args": ["-y", "datalikers-mcp"],      "env": {        "DATALIKERS_API_KEY": "your-api-key"      }    }  }}

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

json
{  "mcpServers": {    "datalikers": {      "command": "npx",      "args": ["-y", "datalikers-mcp"],      "env": {        "DATALIKERS_API_KEY": "your-api-key"      }    }  }}

Configuration

Environment VariableDescriptionRequired
DATALIKERS_API_KEYYour DataLikers API keyYes
DATALIKERS_URLCustom server URL (for self-hosted instances)No

Development

bash
git clone https://github.com/subzeroid/datalikers-mcp.gitcd datalikers-mcpnpm installnpm run build

Run tests:

bash
DATALIKERS_API_KEY=your-key npm test

Tests without DATALIKERS_API_KEY will skip integration tests and only run unit tests.

How It Works

This is a thin proxy that connects to the DataLikers remote MCP server and exposes all its tools locally via stdio transport. No data processing happens locally — all requests are forwarded to the DataLikers API.

AI Assistant ←stdio→ datalikers-mcp ←https→ DataLikers API

License

MIT

來源：README.md，提交 5cb3a19

工具

0
工具後設資料尚未被收錄。

版本歷史

1
  1. v1.0.2最新Oct 6, 2026