LinkedIn Post Fetcher

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🚀 Features

• Pay-Per-Result Pricing - Pay only for posts delivered
• Fetch Any Post by URN - Complete, real-time data for any public LinkedIn post
• Batch Fetching - Up to 100 posts per run
• Rich Data Extraction - Full post content, media, engagement breakdown, and author profile
• No Cookies Required - No LinkedIn account, session cookies, or account risk

💰 Pricing

Pay-Per-Result Model

• LinkedIn Posts: $0.005 per post fetched
• No per-run fee - You only pay for the posts you retrieve
• No infrastructure costs - You only pay for actual results delivered, not the Actor runtime
• No failed fetches charged - API errors, deleted posts, and unsupported posts are free
• Budget-aware - Set a maximum cost per run and the actor only fetches what fits your budget

Example Costs

Fetch Type	Cost
Single post fetch	$0.005
Batch of 100 posts	$0.50

📊 Output Data

LinkedIn Post Data Includes:

• Author Information: Name, profile URL, type (Person/Company), follower count, location
• Post Content: Full text, media (images, videos, documents)
• Engagement Metrics: Likes, comments, shares, reactions breakdown
• Metadata: Timestamp, URN, permissions

Multiple Output Views:

1. Post Details - Main table with key post information
2. Engagement Metrics - Detailed reaction and engagement data
3. PPR Billing Details - Transparent billing metadata
4. Media Content - Attached images, videos, and documents

Example Raw Output

{
	"urn": "urn:li:ugcPost:7478186847056306177",
	"shareUrn": "urn:li:ugcPost:7478186847056306177",
	"approxPublishedAt": "1w",
	"timestamp": 1782938682331,
	"engagement": {
		"comments": 408,
		"reactions": {
			"LIKE": 3812,
			"PRAISE": 0,
			"EMPATHY": 0,
			"INTEREST": 0,
			"APPRECIATION": 0,
			"ENTERTAINMENT": 0
		},
		"shares": 0
	},
	"content": {
		"edited": false,
		"text": "We’re entering a new stage of the fight against Alzheimer’s. Faster diagnoses and more efficient research are on the horizon, and I’m optimistic they’ll give people living with the disease and their loved ones more time and more hope.",
		"textAttributes": [],
		"quotePost": false,
		"quotedPost": null,
		"hasImage": false,
		"hasMultipleImages": false,
		"hasVideo": true,
		"hasDocument": false,
		"hasLink": false,
		"isCelebration": false,
		"isJobPosting": false,
		"media": {
			"images": [],
			"videos": [
				{
					"contentUrl": "https://dms.licdn.com/playlist/vid/v2/D4E05AQErexIPDJOoLw/mp4-720p-30fp-crf28/B4EZ8fb1aMJYB8-/0/1782938834003?e=2147483647&v=beta&t=a5JkoXTsfBT_5iwQ8cP8bi7Z3oa_SFaL01UEsG29Zjk",
					"thumbnailUrl": "https://media.licdn.com/dms/image/v2/D4E05AQErexIPDJOoLw/videocover-high/B4EZ8fb1aMJYBM-/0/1782938829370?e=2147483647&v=beta&t=SXguHtyArCOXnZU2pEFCYKZQZSe1--Ltrj-mo7vwD2g",
					"duration": "PT1M",
					"width": 720,
					"height": 1280
				}
			],
			"articles": []
		},
		"jobPostingDetails": null
	},
	"group": null,
	"permissions": {
		"canComment": true,
		"canReact": true,
		"canShare": true,
		"canMessage": true
	},
	"poster": {
		"type": "Person",
		"name": "Bill Gates",
		"title": null,
		"profileUrl": "https://www.linkedin.com/in/williamhgates",
		"profileImage": "https://media.licdn.com/dms/image/v2/D5603AQF-RYZP55jmXA/profile-displayphoto-shrink_200_200/B56ZRi8g.aGsAY-/0/1736826818802?e=2147483647&v=beta&t=bKWfN6UwwtiCqFWsG7rBELbd48qJOAMLdxhBzzkJV0k",
		"urn": "urn:li:member:251749025",
		"location": {
			"country": "US",
			"state": null,
			"city": null
		},
		"followersCount": 40496286,
		"currentPosition": {
			"companyUrn": "urn:li:organization:8736",
			"vanityId": "gates-foundation",
			"name": "Gates Foundation",
			"minEmployeeCount": 4207,
			"industry": "Non-profit Organizations",
			"jobLocation": {
				"country": "US",
				"state": "WA",
				"city": "Seattle"
			},
			"domain": "https://www.gatesfoundation.org/about/careers",
			"locationRaw": "Seattle",
			"description": "Guided by the belief that every life has equal value, the Gates Foundation works to help all people lead healthy, productive lives. In developing countries, we work with partners to create impactful solutions so that people can take charge of their futures and achieve their full potential. In the United States, we aim to ensure that everyone—especially those with the fewest resources—has access to the opportunities needed to succeed in school and life. Based in Seattle, Washington, the foundation is led by CEO Mark Suzman, under the direction of Bill Gates and our governing board.   ",
			"followers": 1511910,
			"slogan": null,
			"type": "Nonprofit",
			"yearFounded": null,
			"tags": [
				"Global Health",
				"Global Development",
				"US Education",
				"Gender Equality"
			]
		},
		"isFullDetails": true,
		"version": 1
	},
	"fromCache": true
}

⚙️ How to Use

Finding a Post's URN

Every LinkedIn post has a URN in its URL. Open the post and copy it from the address bar:

https://www.linkedin.com/feed/update/urn:li:activity:7480183920727134209/
                                     └──────────── URN ────────────────┘

Both urn:li:activity:... and urn:li:ugcPost:... formats are supported.

Example Input

Pass 1–100 URNs per run:

{
    "urns": [
        "urn:li:ugcPost:7478186847056306177",
        "urn:li:activity:7480183920727134209"
    ]
}

This fetches the full post data — content, media, engagement, and author profile — for each URN.

Partial Failures

If some URNs can't be fetched (deleted posts, unsupported content), the run still succeeds with the posts that worked — you're never charged for failures. Failed URNs and their reasons are saved to the failed_urns record in the run's key-value store.

📈 Use Cases

Post Monitoring

• Track engagement on your own or competitors' posts over time
• Re-fetch posts on a schedule to build engagement time series
• Detect edits and content changes

Lead Generation

• Enrich post URNs from other sources with full author profiles
• Qualify leads by follower count, company, and role
• Feed complete post data into your CRM or outreach tools

Market Research

• Analyze engagement on specific industry posts
• Capture company announcements with full context
• Study reaction breakdowns on viral content

Content Analysis

• Pull complete media and text for archived analysis
• Compare engagement across specific posts
• Verify post metadata and publish timing

🛡️ Data Quality & Reliability

• Real-time Data - Direct from LinkedIn
• Complete Profiles - Full author and company information
• Accurate Metrics - Real engagement counts and timestamps
• Rate Limited - Respects LinkedIn's usage policies
• Error Handling - Robust retry logic and error reporting

📋 Data Export

All data is available in multiple formats:

• JSON - Full structured data with all fields
• CSV - Flattened data perfect for spreadsheet analysis
• Excel - Formatted tables with proper data types
• API Access - Programmatic access via Apify API

🔗 Resources

• Data Export Options