> ## Documentation Index
> Fetch the complete documentation index at: https://docs.keyapi.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Get company posts

> Get posts published by a LinkedIn company

<div className="inline-flex items-center gap-2 px-4 py-2 bg-yellow-50 dark:bg-yellow-900/20 border border-yellow-200 dark:border-yellow-800 rounded-lg">
  <span className="text-base">🪙</span>
  <span className="text-sm font-medium text-yellow-900 dark:text-yellow-100"><span className="font-semibold">1 credit</span><span className="text-yellow-700 dark:text-yellow-300 ml-1">per request</span></span>
</div>

## Copy for AI

<div className="my-6 rounded-xl border border-gray-200 bg-gray-50 p-5 dark:border-gray-800 dark:bg-gray-900/40">
  <div className="min-w-0">
    <p className="text-base font-semibold text-gray-900 dark:text-gray-100">🤖 Why Code When AI Can Do It For You?</p>
    <p className="mt-1 text-sm text-gray-700 dark:text-gray-300">Stop writing code like it's 1970! Let AI do the heavy lifting - click the sparkles to copy a perfectly formatted prompt for ChatGPT, Claude, or your favorite AI assistant.</p>
  </div>

  <div className="mt-4">
    <button
      type="button"
      className="inline-flex items-center gap-2 rounded-md border border-emerald-300 bg-emerald-50 px-3 py-2 text-sm font-medium text-emerald-800 hover:bg-emerald-100 dark:border-emerald-700 dark:bg-emerald-900/30 dark:text-emerald-100 dark:hover:bg-emerald-900/50"
      onClick={() => navigator.clipboard.writeText(`I want to make an API call to https://api.keyapi.ai/v1/linkedin/get_company_posts.

Please help me write code to make this API call and handle the response appropriately. Include error handling and best practices.

Here are the details:

Endpoint: GET https://api.keyapi.ai/v1/linkedin/get_company_posts

Description: Get posts published by a LinkedIn company

Required Headers:
--header 'Authorization: Bearer <YOUR_API_KEY>'

Parameters:
- company_id (Required). Example: 10649600
- page (Optional): Page number, default is 1. Example: 1
- sort_by (Optional): Sort order, default is top
Options: top (popular posts), recent (latest posts). Example: top

Example Response:
{
"code": 0,
"message": "success",
"data": {
"page": 1,
"total": 0,
"has_more": false,
"data": []
},
"requestId": "10709c7c-c08d-49a5-9387-c6e63fbe2b47"
}`)}
    >
      <span>✨</span>
      <span>Copy for AI</span>
    </button>
  </div>
</div>


## OpenAPI

````yaml en/linkedin.openapi.json GET /v1/linkedin/get_company_posts
openapi: 3.0.1
info:
  title: LinkedIn API english documentation
  description: >-
    The english reference documentation of the LinkedIn API includes the
    interface's purpose, parameter description, response status, and sample
    structure.
  version: 1.0.0
servers:
  - url: https://api.keyapi.ai
    description: Production
security:
  - JWT Bearer: []
tags: []
paths:
  /v1/linkedin/get_company_posts:
    get:
      tags: []
      summary: Get company posts
      description: Get posts published by a LinkedIn company
      parameters:
        - name: company_id
          in: query
          description: ''
          required: true
          example: '1066442'
          schema:
            type: string
            example: '1066442'
        - name: page
          in: query
          description: Page number, default is 1
          required: false
          example: 1
          schema:
            type: integer
            default: 1
        - name: sort_by
          in: query
          description: |-
            Sort order, default is top
            Options: top (popular posts), recent (latest posts)
          required: false
          example: top
          schema:
            type: string
            default: top
      responses:
        '200':
          description: ''
          content:
            application/json:
              schema:
                type: object
                properties: {}
              example:
                code: 0
                message: success
                data:
                  page: 1
                  total: 500
                  has_more: true
                  data:
                    - id: '7437639071331622912'
                      post_type: ugc
                      text: >-
                        When growth accelerates, your engineering model has to
                        evolve with it.


                        At #DatadogSummit Sydney, hear how FitnessPassport
                        leveraged Datadog to move from reactive firefighting to
                        proactive detection — identifying and resolving issues
                        before users ever notice: https://bit.ly/3OUbaIV
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                        account_type: company
                      created_at: '2026-03-11T23:59:32.887Z'
                      url: >-
                        https://www.linkedin.com/feed/update/urn:li:activity:7437639072212426752
                      share_urn: urn:li:ugcPost:7437639071331622912
                    - id: '7437579383415980032'
                      post_type: activity
                      text: >-
                        Attending #RSAC2026? Bring your security challenges to
                        us and walk away with practical solutions. Sign up to
                        meet with our security experts: https://bit.ly/4d5GgqS
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                      author:
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                        url: https://www.linkedin.com/company/datadog/
                        name: Datadog
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                      created_at: '2026-03-11T19:59:32.887Z'
                      url: >-
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                      share_urn: urn:li:share:7437579358858268675
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                      text: >-
                        The Datadog MCP Server is now GA!

                        See how engineering teams are using it to turn
                        observability data into automated action — from faster
                        onboarding to proactive cost control.

                        Learn more:  https://lnkd.in/eecd2akS
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                    - id: '7437516477190062081'
                      post_type: ugc
                      text: >-
                        Engineers: curious about applying to Datadog but unsure
                        what to expect?


                        Paris-based recruiter Babatunde 🧑🏿‍💻 FADOJU puts it
                        simply: “Think of the interviews as an adventure, not an
                        ordeal. The process is as much about self-reflection as
                        it is about technical skill.”


                        Swipe through as he breaks down 5 common myths about our
                        interview process. 👉


                        Explore senior engineering roles in Paris:
                        https://lnkd.in/eB6XcF4q


                        #DatadogParis #ParisTech #DatadogLife
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                    - id: '7437226958918234117'
                      post_type: ugc
                      text: >-
                        That's a wrap on #DatadogSummit London! It was an
                        impactful day bringing together our customers: Captur,
                        Virgin Atlantic, Haleon, Entain, Zilch, and Kraken to
                        share how they run smart and run secure with Datadog’s
                        AI-powered observability.


                        🌍 We’re taking the Summit on the road. Next stops:
                        Sydney and Bengaluru. Join us: https://lnkd.in/e8cYJkYj
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                        Spend a day with Gaby Othen, Enterprise Account
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                        Ready to build, grow, and lead in sales? Explore careers
                        at Datadog: https://lnkd.in/en543isk


                        #DatadogLife
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                      url: >-
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                        When AI writes most of your code, observability has to
                        keep up. Ramp uses Datadog MCP to surface performance
                        regressions fast so they can safely scale AI-assisted
                        development.


                        Learn about Datadog MCP here: https://lnkd.in/e6NMVEF8
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                      author:
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                        url: https://www.linkedin.com/company/datadog/
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                requestId: 10709c7c-c08d-49a5-9387-c6e63fbe2b47
          headers: {}
        '400':
          description: Bad Request
          content:
            application/json:
              schema:
                type: object
                example:
                  code: 400
                  data: null
                  message: 'Missing required parameter: handle'
        '401':
          description: Unauthorized
          content:
            application/json:
              schema:
                type: object
                example:
                  code: 401
                  data: null
                  message: apiKey is null
        '402':
          description: Payment Required
          content:
            application/json:
              schema:
                type: object
                example:
                  code: 402
                  data: null
                  message: apiKey quota is not enough
        '429':
          description: Too Many Requests
          content:
            application/json:
              schema:
                type: object
                example:
                  code: 429
                  data: null
                  message: qps limit exceeded
        '500':
          description: Internal Server Error
          content:
            application/json:
              schema:
                type: object
                example:
                  code: 500
                  data: null
                  message: Internal server error
      deprecated: false
      security:
        - JWT Bearer: []
      x-codeSamples:
        - lang: curl
          label: cURL
          source: |-
            curl --request GET \
              --url 'https://api.keyapi.ai/v1/linkedin/get_company_posts?company_id=10649600&page=1&sort_by=top' \
              --header 'Authorization: Bearer <YOUR_API_KEY>'
        - lang: python
          label: Python
          source: |-
            import requests

            response = requests.get(
                'https://api.keyapi.ai/v1/linkedin/get_company_posts',
                params={"company_id": "10649600", "page": 1, "sort_by": "top"},
                headers={'Authorization': 'Bearer <YOUR_API_KEY>'}
            )
            print(response.json())
        - lang: javascript
          label: JavaScript
          source: >-
            const params = new URLSearchParams({"company_id": "10649600",
            "page": 1, "sort_by": "top"});


            const response = await
            fetch(`https://api.keyapi.ai/v1/linkedin/get_company_posts?${params}`,
            {
              method: 'GET',
              headers: { 'Authorization': 'Bearer <YOUR_API_KEY>' }
            });

            const data = await response.json();

            console.log(data);
components:
  securitySchemes:
    JWT Bearer:
      type: http
      scheme: bearer
      bearerFormat: JWT
      description: |-
        API key for authentication. Format: `sk_live_xxxxxxxxxxxxx`
        Get your API key from the [Dashboard](http://keyapi.ai/app/dashboard).

````