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LinkedIn Post Details Fetcher
x402
LinkedIn Post Details Fetcher is a paid API for AI agents from x402.apidirect.io, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-30).
Fetches full details of a LinkedIn post by URL, including content, engagement metrics, media, reactions, and author info, with optional AI sentiment analysis.
Price / call$0.003
Success—
StatusUnknown
How this service works
Get detailed information about a specific LinkedIn post including full content, likes, comments, shares, reactions, embedded links, images, and author details.
Output
Returns structured data about the LinkedIn post including full text content, like/comment/share counts, reaction breakdown, author profile details, embedded images and links. When get_sentiment is true, also returns an AI-powered sentiment object with emotion scores (joy, trust, fear, surprise, sadness, disgust, anger, anticipation each 0-100), dominant_emotion, emotional_intensity (0-10), and polarity (positive, negative, or neutral).
Example use cases
Track viral LinkedIn post engagement
“I need the full engagement breakdown for this LinkedIn post — likes, shares, comments, and reactions — so I can assess how well it's performing. The URL is https://www.linkedin.com/posts/techcompany_ai-innovation-activity-123456789.”
Sentiment analysis for brand monitoring
“Fetch this LinkedIn post and run the emotion analysis on it too — I want to know the dominant emotion, the polarity, and the emotional intensity. Here's the post: https://www.linkedin.com/posts/brandname_product-launch-activity-987654321.”
Competitive intelligence on influencer posts
“Can you get the full content, author details, and any embedded links from this LinkedIn post by a competitor? URL is https://www.linkedin.com/posts/competitor-exec_strategy-update-activity-111222333.”
Technical details
Endpoint
GEThttps://x402.apidirect.io/v1/linkedin/post?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need detailed, structured data from a specific LinkedIn post including engagement metrics, author info, and media — especially when you also want AI-powered emotional sentiment analysis of the post content. Prefer this over general web scraping when targeting LinkedIn specifically.
Side effects
- Invalid or malformed LinkedIn post URL returns an error
- Post is private or requires login — may return empty or restricted data
- Post has been deleted — returns not found error
- LinkedIn rate limiting may cause intermittent failures
- URL exceeds 500 character limit returns validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Tags
x402
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