LinkedIn Post Scraper

LinkedIn post scraper: scrape LinkedIn posts by URL into structured data, with text, author, follower count, publish date, images and LinkedIn post engagement (reactions and comments). LinkedIn posts for content analysis, social listening and market research.

Run on Apify112 userson Apify, measured 2026-11-04

What it extracts

Every field below comes from the Actor’s published dataset schema.

Field	Description	Type
`post_url`	Post	link
`date_published`	Published	date
`author.name`	Author	text
`author.followers_count`	Author followers	number
`content`	Content	text
`image_url`	Image	image
`reactions_count`	Reactions	number
`comments_count`	Comments	number

Input parameters

Generated from the Actor’s input schema — the same fields the Apify console shows.

Parameter	Type	Required	Description
`urls`	array	Required	Public LinkedIn post URLs, one per line. Accepts linkedin.com/posts/... links (the Copy link to post format), linkedin.com/feed/update/urn:li:activity:... and urn:li:ugcPost:... links, and country subdomains such as uk.linkedin.com. Each URL returns one post. URLs that are not posts are skipped with a warning.
`proxyConfiguration`	object	Optional	Proxy used to reach LinkedIn. Apify datacenter proxies work for public posts. Switch to residential proxies if many posts come back blocked.

API access

Run this Actor from your own code over the Apify API.

Inputjson

{
  "urls": [
    "https://www.linkedin.com/posts/nvidia_ai-is-technology-that-is-built-and-improved-activity-7508569677040893954-sffp",
    "https://www.linkedin.com/feed/update/urn:li:ugcPost:7507922903468998656"
  ]
}

REST — run and get resultsbash

curl -X POST \
  "https://api.apify.com/v2/acts/logical_scrapers~linkedin-posts-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"urls":["https://www.linkedin.com/posts/nvidia_ai-is-technology-that-is-built-and-improved-activity-7508569677040893954-sffp","https://www.linkedin.com/feed/update/urn:li:ugcPost:7507922903468998656"]}'

JavaScript — apify-clientjavascript

import { ApifyClient } from 'apify-client'

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' })

const run = await client.actor('logical_scrapers~linkedin-posts-scraper').call({
  "urls": [
    "https://www.linkedin.com/posts/nvidia_ai-is-technology-that-is-built-and-improved-activity-7508569677040893954-sffp",
    "https://www.linkedin.com/feed/update/urn:li:ugcPost:7507922903468998656"
  ]
})

const { items } = await client.dataset(run.defaultDatasetId).listItems()
console.log(items)

Python — apify-clientpython

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("logical_scrapers~linkedin-posts-scraper").call(run_input={
    "urls": [
        "https://www.linkedin.com/posts/nvidia_ai-is-technology-that-is-built-and-improved-activity-7508569677040893954-sffp",
        "https://www.linkedin.com/feed/update/urn:li:ugcPost:7507922903468998656",
    ],
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Runs are executed on Apify. Create an API token in your Apify account, then call the Actor over REST or with the official client for your language. The same input object works in the Apify console, so you can test interactively before automating.

Pricing

Data not currently verified. This Actor's pricing model is not declared in our source repository.

Current rates are published on the Apify listing and can change, so they are not duplicated here. See pricing on Apify

Reliability

99.7% run success rate

Measured across all public Goldmine Actors on Apify, 2026-11-04. This is an account-level figure, not a per-Actor benchmark — per-Actor speed and completeness benchmarks are not yet published. Source.