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Linkedin Post Engager Capture

БесплатноПоддерживается

Collect the LinkedIn posts a search engine has indexed for profiles and company pages.

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Описание

Collect the LinkedIn posts a search engine has indexed for profiles and company pages.

README

Smithery Glama score MCP Registry npm version npm downloads license mcpservers.org

LinkedIn Post Engager Capture MCP server

MCP server for the Mamba Labs LinkedIn Post Tracker actor on Apify.

Point it at LinkedIn person profiles or company pages. It returns the posts a search engine has indexed for each one, as flat rows: permalink, author, a text excerpt, and the publish date. No request is sent to LinkedIn, and no cookie, account, or credential is used.

Changed in 1.3.0. The actor stopped fetching linkedin.com on 2026-10-12. Commenter rows, reaction and comment counts, media, and the inputs collect_commenters, collect_reactors, max_engagers_per_post, and use_residential_proxy are gone. Posts now come from search results, so coverage is what the index holds: posts appear days or weeks after publishing, and many never appear. The tool keeps its name, capture_linkedin_posts_and_commenters, so existing clients keep working.

Install

npx -y @mambalabsdev/mcp-linkedin-post-engager-capture

Claude Desktop

{
  "mcpServers": {
    "mamba-linkedin-post-engager-capture": {
      "command": "npx",
      "args": ["-y", "@mambalabsdev/mcp-linkedin-post-engager-capture"],
      "env": { "APIFY_TOKEN": "your-apify-token" }
    }
  }
}

Get an Apify token at console.apify.com/account/integrations.

Tool

capture_linkedin_posts_and_commenters

LinkedIn profiles and company pages in, the posts a search engine has indexed for them out.

Input Type Required Meaning
profile_urls array of strings one of the two Person profiles, for example https://www.linkedin.com/in/williamhgates.
company_urls array of strings one of the two Company pages, for example https://www.linkedin.com/company/microsoft.
posted_since string no ISO date. Posts published before this are skipped before anything is charged.
max_charge_usd number no Spend cap for the run, in USD. The run starts no post whose charge would cross it and writes one max_charge_reached notice row.

Reading the output

  • post is one row per indexed post: post_id, post_permalink, author_name, author_url, author_type, post_text (the search engine's excerpt), published_at (decoded from the post id).
  • notice is a run-level or source-level message. Filter these out before loading a table.

A post counts only when its permalink names the source, for example linkedin.com/posts/stripe_... for linkedin.com/company/stripe. A refused search comes back as a degraded notice, never as "no posts".

Billing

You are charged per post collected, plus a small actor start fee. Notice rows are free. posted_since filters before anything is charged.

Event Price per event (USD) Fires when
apify-actor-start $0.00005 Charged when the Actor starts running, one event per GB of memory.
post-collected $0.002 on the Free plan, down to $0.0017 on higher Apify plans One LinkedIn post returned from search results, with its permalink, author, text excerpt and publish date.

The actor's Apify page carries the current prices.

What this server does and does not do

It is a thin client for the Apify actor. It passes your input through and returns the actor's output unchanged. Every behavior described above lives in the actor, not here.

It reads only public search engine results. It sends no request to LinkedIn, holds no session cookie, and uses no LinkedIn account.

Post rows from a person profile name that person. When you run this you are the data controller for the personal data it returns and Apify is the processor. Your lawful basis is yours to establish; nothing here is legal advice.

This actor is unofficial and is not affiliated with, sponsored by or endorsed by LinkedIn or Microsoft.

Errors are surfaced, never swallowed. An invalid input, an invalid token, an exhausted balance, a timeout, or a run that returns anything other than a dataset all come back as an explicit tool error rather than as an empty result.

Source

The actor is on the Apify Store. This wrapper is MIT licensed.

Built by Mamba Labs

from github.com/mambalabsdev/mcp-linkedin-post-engager-capture

Установить Linkedin Post Engager Capture в Claude Desktop, Claude Code, Cursor

Рекомендуется · одна команда, все IDE
unyly install mcp-linkedin-post-engager-capture

Ставит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.

Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh

Или настроить вручную

Выполни в терминале:

claude mcp add mcp-linkedin-post-engager-capture --env APIFY_TOKEN="" -- npx -y @mambalabsdev/mcp-linkedin-post-engager-capture

Пошаговые гайды: как установить Linkedin Post Engager Capture

FAQ

Linkedin Post Engager Capture MCP бесплатный?

Да, Linkedin Post Engager Capture MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Linkedin Post Engager Capture?

Да, требуются переменные окружения: APIFY_TOKEN. Unyly подставит их в конфиг при установке.

Linkedin Post Engager Capture — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Linkedin Post Engager Capture в Claude Desktop, Claude Code или Cursor?

Открой Linkedin Post Engager Capture на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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