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$2.00 / 1,000 post results

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LinkedIn Post Search API — Keywords, Authors & Mentions

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Search LinkedIn posts by keyword, company, author industry and mentions. Export text, author links and available engagement counts. Private preview: up to 100 posts per search; no pagination.

Pricing

$2.00 / 1,000 post results

Rating

0.0

(0)

Developer

Gaurav Kumar Choudhary

Actor stats

Bookmarked

Total users

Monthly active users

12 hours ago

Last modified

Categories

Social media

Marketing

Automation

You can access the LinkedIn Post Search API — Keywords, Authors & Mentions programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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          "keywords": {
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            "type": "string",
            "description": "One search phrase, up to 500 characters."
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          "maxPosts": {
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          "sortBy": {
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            "type": "string",
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          },
          "datePosted": {
            "title": "Posted within",
            "enum": [
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              "Past week",
              "Past month",
              "past-year",
              "past-2y",
              "past-3y"
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            "type": "string",
            "description": "Optional source recency filter.",
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          },
          "contentType": {
            "title": "Content type",
            "enum": [
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              "Videos",
              "Images",
              "Job posts",
              "Live videos",
              "Documents",
              "Collaborative articles"
            ],
            "type": "string",
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          },
          "fromCompany": {
            "title": "Posting company IDs",
            "type": "array",
            "description": "Numeric LinkedIn company IDs; 1035 = Microsoft.",
            "items": {
              "type": "integer"
            },
            "default": []
          },
          "mentioningCompany": {
            "title": "Mentioned company IDs",
            "type": "array",
            "description": "Numeric IDs of mentioned companies.",
            "items": {
              "type": "integer"
            },
            "default": []
          },
          "authorCompany": {
            "title": "Author employer IDs",
            "type": "array",
            "description": "Filter by author employer company IDs.",
            "items": {
              "type": "integer"
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            "default": []
          },
          "authorIndustry": {
            "title": "Author industry IDs",
            "type": "array",
            "description": "Filter by numeric author industry IDs.",
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              "type": "integer"
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            "default": []
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            "type": "array",
            "description": "ACo-style identifiers of mentioned members.",
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              "type": "string"
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          },
          "authorKeyword": {
            "title": "Author headline keywords",
            "type": "string",
            "description": "Optional keyword filter for author headlines.",
            "default": ""
          },
          "excludePostIds": {
            "title": "Exclude previously seen post IDs",
            "type": "array",
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LinkedIn Post Search API — Keywords & Brand Mentions OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for LinkedIn Post Search API — Keywords, Authors & Mentions from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

LinkedIn Post Search API — Keywords, Authors & Mentions API in Python

LinkedIn Post Search API — Keywords, Authors & Mentions API in JavaScript

LinkedIn Post Search API — Keywords, Authors & Mentions API through CLI

LinkedIn Post Search API — Keywords, Authors & Mentions API

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