Pricing

$29.99/month + usage

Linkedin Profile Post Scraper

The LinkedIn Profile Post Scraper extracts public LinkedIn profile posts with structured output. Collect post text, engagement metrics, timestamps, and URLs for research, lead generation, analytics, and automation workflows. Scalable, reliable, and easy to integrate via API. 🚀

Pricing

$29.99/month + usage

Rating

0.0

(0)

Developer

ScrapAPI

Actor stats

Bookmarked

Total users

Monthly active users

a month ago

Last modified

Categories

Automation

Lead generation

Developer tools

You can access the Linkedin Profile Post Scraper 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 Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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        "properties": {
          "urls": {
            "title": "🔗 LinkedIn profile URLs",
            "type": "array",
            "description": "Add one or more LinkedIn profile URLs to scrape (e.g. personal profile pages). 📋 Paste each URL on a new line.",
            "items": {
              "type": "string"
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          },
          "maxPosts": {
            "title": "📄 Max posts per URL",
            "minimum": 1,
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            "description": "Maximum number of posts to collect per URL. 🎯 Keep lower for faster runs (e.g. 10–50).",
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          },
          "proxyConfiguration": {
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                "type": "string",
                "example": "READY"
              },
              "meta": {
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Linkedin Profile Post Scraper 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 Profile Post Scraper 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 Profile Post Scraper API in Python

Linkedin Profile Post Scraper API in JavaScript

Linkedin Profile Post Scraper API through CLI

Linkedin Profile Post Scraper API

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