LinkedIn · API

LinkedIn Posts

Posts from profiles and companies. Auto-paginated, clean JSON.

per event $0.001

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What it does

Extracts posts from LinkedIn profiles and company pages at scale. Handles pagination automatically, respects rate limits, and returns clean JSON with author snapshots, post content, media, and engagement stats. No LinkedIn account needed on your end.

Input

Request body

Field	Type		Description
profiles	string[]	optional	LinkedIn profile URLs to scrape posts from.
companies	string[]	optional	LinkedIn company URLs to scrape posts from.
maxPosts	number	optional	Max posts per profile/company. Default: unlimited.
postedSince	ISO date	optional	Only include posts published after this date.

Output

Post object

Field	Type		Description
urn	string	required	LinkedIn post URN (unique identifier).
url	string	required	Public post URL.
text	string	optional	Post text content.
author	object	required	Author profile snapshot — name, headline, profileUrl.
postedAt	ISO date	required	When the post was published.
stats	object	required	Reactions, comments, and reposts counts.
media	object[]	optional	Images, videos, or documents attached to the post.

Example request

curl -X POST \
  "https://api.apify.com/v2/acts/3hyVeyxRJfTfNA7S6/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "profiles": ["https://www.linkedin.com/in/someone/"],
    "maxPosts": 50
  }'

Features

Auto-pagination — no cursor juggling on your side.
Incremental scraping — postedSince fetches only new posts.
Classified errors — every error is tagged client (your input/access) or transient (our side or upstream), so your retry logic stays clean.
No LinkedIn account — zero account-burning risk.

Errors & limits

INVALID_INPUT — malformed profile or company URL.
PROFILE_NOT_FOUND — profile is private, deleted, or blocked.
RATE_LIMITED — temporary throttle; retry with backoff.

Changelog

1.0.24 — every error is now tagged client or transient in the response body.
1.0.23 — stability fixes for company page pagination.

AT SCALE

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