Pricing

$19.99/month + usage

Linkedin Profile Scraper

Scrape LinkedIn profile data quickly and accurately 💼👤 Extract names, headlines, experience, education, skills, connections, and more from public profiles. Perfect for lead generation, recruitment, competitor research, and outreach. Turn LinkedIn data into actionable insights 🚀

Pricing

$19.99/month + usage

Rating

0.0

(0)

Developer

ScrapeLabs

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Categories

Lead generation

Social media

Automation

You can access the Linkedin Profile 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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  "components": {
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        "properties": {
          "urls": {
            "title": "🔗 LinkedIn profile URLs",
            "type": "array",
            "description": "Paste the full profile links you want to scrape (e.g. linkedin.com/in/username). One per line or add multiple — we'll process them in order.",
            "items": {
              "type": "string"
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          },
          "proxyConfiguration": {
            "title": "🛡️ Proxy & network",
            "type": "object",
            "description": "Use Apify Proxy or your own. Fallback order: Your proxy → Datacenter → Residential → Direct. Helps avoid blocks and rate limits."
          },
          "extractSimilarProfiles": {
            "title": "👥 People also viewed",
            "type": "boolean",
            "description": "Include “People also viewed” / similar profiles in the result. Great for expanding your network or lead list.",
            "default": true
          },
          "extractProjects": {
            "title": "📁 Projects",
            "type": "boolean",
            "description": "Extract the Projects section (name, dates, description, contributors). Turn off if you only need experience and education.",
            "default": true
          },
          "extractRecommendations": {
            "title": "⭐ Recommendations",
            "type": "boolean",
            "description": "Include written recommendations from other members. Useful for credibility and social proof.",
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          }
        }
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              "status": {
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                "type": "object",
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                    "type": "string",
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Linkedin Profile 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 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 Scraper API in Python

Linkedin Profile Scraper API in JavaScript

Linkedin Profile Scraper API through CLI

Linkedin Profile Scraper API

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