Pricing

$19.99/month + usage

Linkedin Events Scraper

Scrape LinkedIn events with full authenticated access. Search by keywords or fetch specific event URLs. Extract titles, descriptions, dates, locations, organizers, attendee counts, speakers, and more. Ideal for sales prospecting, recruiting, market research, and competitive event analysis.

Pricing

$19.99/month + usage

Rating

0.0

(0)

Developer

SilentFlow

Actor stats

Bookmarked

Total users

Monthly active users

5 days ago

Last modified

Categories

Social media

Lead generation

Business

You can access the Linkedin Events 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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            "title": "LinkedIn Cookies",
            "type": "array",
            "description": "Your LinkedIn cookies exported from browser. Must include 'li_at' and 'JSESSIONID'. Use a browser extension like EditThisCookie to export them as JSON."
          },
          "keywords": {
            "title": "Search Keywords",
            "type": "array",
            "description": "Keywords to search for LinkedIn events (e.g., 'AI conference', 'tech meetup'). Each keyword triggers a separate search.",
            "items": {
              "type": "string"
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          },
          "eventUrls": {
            "title": "Event URLs",
            "type": "array",
            "description": "Direct LinkedIn event URLs to scrape. Format: https://www.linkedin.com/events/event-name-123456789",
            "items": {
              "type": "string"
            }
          },
          "limit": {
            "title": "Maximum events",
            "minimum": 1,
            "maximum": 500,
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            "description": "Maximum total number of events to return",
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          },
          "userAgent": {
            "title": "User Agent",
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          },
          "proxy": {
            "title": "Proxy configuration",
            "type": "object",
            "description": "Select proxies to be used. Residential proxies recommended.",
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              "useApifyProxy": true,
              "apifyProxyGroups": [
                "RESIDENTIAL"
              ]
            }
          }
        }
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                "type": "string"
              },
              "userId": {
                "type": "string"
              },
              "startedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
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                "type": "string",
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Linkedin Events 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 Events 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 Events Scraper API in Python

Linkedin Events Scraper API in JavaScript

Linkedin Events Scraper API through CLI

Linkedin Events Scraper API

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