Search for LinkedIn posts by keyword
Search for LinkedIn posts by keyword.
Answeringour last check, 2026-10-25
1 of 1checks answered this week
260 msmedian answer time
$0.007listed price per call
$0.007price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
GET https://x402.apidirect.io/v1/linkedin/posts
| Category | Search and research |
|---|---|
| Provider host | x402.apidirect.io |
| Networks | eip155:8453 |
| Payment schemes | exact, upto |
| Self-reported calls, 30 days | 0 from 0 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-10-25 | valid payment request | 402 | $0.007 | 260 ms |
Example input (from the provider)
{
"method": "GET",
"queryParams": {
"query": "artificial intelligence",
"sort_by": "most_recent"
},
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"method": {
"enum": [
"GET",
"HEAD",
"DELETE"
],
"type": "string"
},
"queryParams": {
"properties": {
"author": {
"description": "Filter to posts authored by a specific person. Accepts a profile URL, public slug (e.g. williamhgates), or member URN, resolved automatically. Comma-separate for multiple (max 5 values).",
"type": "string"
},
"author_company": {
"description": "Filter to posts written by people who work at a company. Numeric company ID, comma-separate for multiple. Non-numeric values return 400.",
"type": "string"
},
"author_industry": {
"description": "Filter by the author's industry. Numeric LinkedIn industry ID(s), comma-separated. Requires a query parameter. Non-numeric values return 400. Advanced.",
"type": "string"
},
"author_title": {
"description": "Filter by the author's job title as free text (e.g. CEO). Requires a query parameter.",
"type": "string"
},
"from_company": {
"description": "Filter to posts authored by a company page. Numeric LinkedIn company ID (from the Company Details endpoint). Comma-separate for multiple. Non-numeric values return 400.",
"type": "string"
},
"get_sentiment": {
"default": false,
"description": "Set to true to add AI emotion analysis to each 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). Any post t",
"type": "boolean"
},
"mentions_company": {
"description": "Filter to posts that mention a company. Numeric company ID, comma-separate for multiple. Non-numeric values return 400.",
"type": "string"
},
"mentions_member": {
"description": "Filter to posts that mention a specific person (profile URL, slug, or member URN). Comma-separate for multiple (max 5 values).",
"type": "string"
},
"page": {
"default": 1,
"description": "Page number, 1-25 (default: 1). 20 posts per page. LinkedIn's search pool is at most ~500 posts per query, so pages past the pool return an empty list. Values below 1 are treated as 1; a page above 25 returns 400.",
"maximum": 25,
"minimum": 1,
"type": "integer"
},
"posted_ago": {
"description": "Only return posts from this period: 24h (past day), 7d (past week), or 30d (past month). Works with both sort orders and every filter. Omit for all time. Any other value returns 400.",
"enum": [
"24h",
"7d",
"30d"
],
"type": "string"
},
"query": {
"description": "Search query (max 500 characters). Required unless at least one filter (e.g. author) is provided.",
"maxLength": 500,
"type": "string"
},
"sort_by": {
"default": "most_recent",
"description": "Sort order for results",
"enum": [
"most_recent",
"relevance"
],
"type": "string"
}
},
"required": [],
"type": "object"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}