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LinkedIn Events Scraper

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Scrape LinkedIn Events by keyword search or direct event URLs. Extract event name, date, format, organizer, attendee count, and description. Great for event research, lead generation, and competitive intelligence.

Pricing

from $3.00 / 1,000 results

Rating

0.0

(0)

Developer

Crawler Bros

Actor stats

Bookmarked

Total users

Monthly active users

2 months ago

Last modified

Categories

Automation

Lead generation

Social media

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 API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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          "searchQuery": {
            "title": "Search Query",
            "type": "string",
            "description": "Keyword to search for LinkedIn Events (e.g., 'AI conference 2025', 'marketing summit'). Required unless eventUrls is provided."
          },
          "eventUrls": {
            "title": "Event URLs",
            "type": "array",
            "description": "Direct LinkedIn Event page URLs to scrape. Accepts formats: https://www.linkedin.com/events/6234567890123456789/ or https://www.linkedin.com/events/ai-summit-2025-123456789/",
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          },
          "maxEvents": {
            "title": "Max Events",
            "minimum": 1,
            "maximum": 500,
            "type": "integer",
            "description": "Maximum number of events to scrape. Default: 50, Max: 500.",
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          },
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            "enum": [
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              "r86400",
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            "type": "string",
            "description": "Filter events by when they were posted.",
            "default": ""
          },
          "eventType": {
            "title": "Event Type",
            "enum": [
              "",
              "VIRTUAL",
              "IN_PERSON",
              "HYBRID"
            ],
            "type": "string",
            "description": "Filter by event format.",
            "default": ""
          },
          "dateRange": {
            "title": "Date Range",
            "enum": [
              "",
              "UPCOMING",
              "THIS_WEEK",
              "THIS_MONTH",
              "PAST"
            ],
            "type": "string",
            "description": "Filter by event timing relative to today.",
            "default": ""
          },
          "location": {
            "title": "Location",
            "type": "string",
            "description": "Filter events by location (e.g., 'New York', 'London', 'Remote')."
          },
          "language": {
            "title": "Event Language",
            "enum": [
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              "es",
              "fr",
              "de",
              "pt",
              "it",
              "nl",
              "zh",
              "ja"
            ],
            "type": "string",
            "description": "Filter events by primary language.",
            "default": ""
          },
          "cookie": {
            "title": "LinkedIn Cookie",
            "type": "string",
            "description": "LinkedIn session cookie for Voyager API search. Accepts: (1) the li_at value from browser DevTools, or (2) full cookies JSON array from an extension like EditThisCookie. Required for keyword search; optional for direct event URL scraping."
          },
          "proxyConfiguration": {
            "title": "Proxy Configuration",
            "type": "object",
            "description": "Optional Apify proxy configuration. Residential proxy recommended for best results with LinkedIn."
          }
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                "type": "string"
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              "userId": {
                "type": "string"
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              "startedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "finishedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "status": {
                "type": "string",
                "example": "READY"
              },
              "meta": {
                "type": "object",
                "properties": {
                  "origin": {
                    "type": "string",
                    "example": "API"
                  },
                  "userAgent": {
                    "type": "string"
                  }
                }
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                    "type": "integer",
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                  "rebootCount": {
                    "type": "integer",
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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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