# LinkedIn Post Details Fetcher

> 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.

## Facts

- Endpoint: GET https://x402.apidirect.io/v1/linkedin/post?utm_source=zero.xyz
- Price: $0.003/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/linkedin-post-details-fetcher-978cfdeb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_tm9w86Kd2gqK9fIocG_Rx

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability linkedin-post-details-fetcher-978cfdeb
```

Example prompt: Can you pull the full details of this LinkedIn post — likes, comments, shares, reactions, and who posted it? Here's the URL: https://www.linkedin.com/posts/some-user_some-post-id — also include an AI sentiment analysis of the content.

## When to prefer this

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.

## Known failure modes

- 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

## 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).

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET",
      "HEAD",
      "DELETE"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "required": [
      "url"
     ],
     "properties": {
      "url": {
       "type": "string",
       "maxLength": 500,
       "description": "Full URL of the LinkedIn post (max 500 characters)"
      },
      "get_sentiment": {
       "type": "boolean",
       "default": false,
       "description": "Set to true to add AI emotion analysis to the post. Adds a `sentiment` object containing `emotions` (joy, trust, fear, surprise, sadness, disgust, anger and anticipation, each scored 0-100), `dominant_emotion`, `emotional_intensity` (0-10), and `polarity` (positive, negative or neutral). If the post"
      }
     }
    }
   },
   "additionalProperties": false
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/linkedin-post-details-fetcher-978cfdeb/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from x402.apidirect.io](https://www.zero.xyz/host/x402.apidirect.io/llms.txt)