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Linkedin Profile Posts Scraper

🚀 Take your LinkedIn outreach to the next level! Our LinkedIn Profile Posts Scraper extracts post content for smarter lead research, content insights, and competitive analysis. 📈 Automate discovery, save time, and boost results—without the hassle.

Pricing

from $0.01 / 1,000 results

Rating

0.0

(0)

Developer

Scrapers Hub

Actor stats

Bookmarked

Total users

Monthly active users

24 days ago

Last modified

Categories

Lead generation

Social media

Automation

You can access the Linkedin Profile Posts Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "url": "https://www.linkedin.com/showcase/linkedin-news/" }
9
10# Run the Actor and wait for it to finish
11run = client.actor("scrapers-hub/linkedin-profile-posts-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Linkedin Profile Posts Scraper API in Python

The Apify API client for Python is the official library that allows you to use Linkedin Profile Posts Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Linkedin Profile Posts Scraper API in JavaScript

Linkedin Profile Posts Scraper API through CLI

Linkedin Profile Posts Scraper OpenAPI definition

Linkedin Profile Posts Scraper API

Linkedin Profile Posts Scraper

scraperoka/linkedin-profile-posts-scraper

🔎 LinkedIn Profile Posts Scraper extracts post content, engagement metrics, and author details from public LinkedIn profiles. 📈 Perfect for B2B research, lead gen, sentiment tracking & competitive insights—save time and scale your outreach.

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LinkedIn Posts Scraper

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Scrape LinkedIn posts data from LinkedIn Post URLs.

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LinkedIn Posts URL (Profile)

scraperx/linkedin-posts-url-profile

ScraperX

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saleleads.ai/linkedin-profile-scraper

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Linkedin Profile Post Scraper

scrapio/linkedin-profile-post-scraper

LinkedIn Profile Post Scraper extracts posts from any LinkedIn profile. Collect post text, dates, reactions, comments, and engagement metrics. Ideal for content research, competitor monitoring, influencer analysis, and tracking professional activity across LinkedIn profiles.

Scrapio

LinkedIn Post Scraper

electrifying_haircut/linkedin-post-scraper

Scrape LinkedIn posts and profiles with our powerful LinkedIn Post Scraper. Extract post content, author information, engagement metrics, and more. Perfect for market research, competitive analysis, and content monitoring. Fast, reliable, and easy to use.

Gagan

Linkedin Profile Lead Scraper

scrapapi/linkedin-profile-lead-scraper

ScrapAPI

Linkedin Profile And Company Posts Scraper

scrapio/linkedin-profile-and-company-posts-scraper

LinkedIn Profile and Company Posts Scraper extracts posts from LinkedIn profiles and company pages. It collects post text, images, engagement metrics, timestamps, and profile details. Ideal for social media research, brand monitoring, competitor analysis, and content tracking.

Scrapio

Linkedin Post Scraper

scraper-engine/linkedin-post-scraper

💼 LinkedIn Post Scraper extracts public LinkedIn posts from profile or company profile with text, media, reactions, comments & author info. 🚀 Ideal for market research, content analysis & lead generation. Export data in JSON, CSV, or Excel.