WEB COMPANY AI API MCP READY

LinkedIn Posts API

Collect public LinkedIn posts as clean, structured JSON. Discover every post from a profile URL, or fetch specific post URLs, with text, reactions, comments, shares, media, hashtags, and author details. Pay per post, MCP-ready for Claude and AI agents.

MEDIAN LAGon demand

PARAMETERS5

TOTAL USERS6

MONTHLY ACTIVE4

TOTAL RUNS117

RUNS SUCCEEDED100.0%

RATINGno ratings yet

Input parameters

PARAMETER	TYPE	REQ	DEFAULT	DESCRIPTION
profileUrls	string[]	no	—	One or more LinkedIn profile URLs, e.g. https://www.linkedin.com/in/williamhgates.
postUrls	string[]	no	—	One or more specific LinkedIn post URLs, e.g. https://www.linkedin.com/posts/...-activity-1234567890 or https://www.linkedin.com/feed/update/urn:li:activity:1234567890.
maxPostsPerProfile	integer	no	20	Maximum number of posts to return for each profile URL (discover mode).
startDate	string	no	—	Only discover posts on or after this date (YYYY-MM-DD).
endDate	string	no	—	Only discover posts on or before this date (YYYY-MM-DD).

Worked examples

Basic — the required input, with the schema's own example values

{
  "profileUrls": [
    "https://www.linkedin.com/in/williamhgates"
  ],
  "postUrls": [
    "example"
  ]
}

Tasks

Saved runs with the inputs already filled in — each one a standalone page and a working configuration example.

Request a task →

Code

curl

curl -X POST "https://api.apify.com/v2/acts/johnvc~linkedin-posts-api/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"profileUrls": ["https://www.linkedin.com/in/williamhgates"], "postUrls": ["example"]}'

Python

from apify_client import ApifyClient

client = ApifyClient("APIFY_TOKEN")
run = client.actor("johnvc/linkedin-posts-api").call(
    run_input={'profileUrls': ['https://www.linkedin.com/in/williamhgates'], 'postUrls': ['example']}
)
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)