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Linkedin Post Liker Scraper

peak050423/linkedin-post-liker-scraper

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This tool helps actors and industry professionals gather useful information from LinkedIn posts. By using hidden APIs, it provides access to data that boosts networking efforts.

You can access the Linkedin Post Liker Scraper programmatically from your own Python 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.

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 = {
9    "cookies": [],
10    "post_url": "https://www.linkedin.com/feed/update/urn:li:activity:1234567890",
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("peak050423/linkedin-post-liker-scraper").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19    print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Linkedin Post Liker Scraper API in Python

The Apify API client for Python is the official library that allows you to use Linkedin Post Liker 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 Post Liker Scraper API in JavaScript

Linkedin Post Liker Scraper API through CLI

Linkedin Post Liker Scraper OpenAPI definition

Linkedin Post Liker Scraper API

Developer

Peak

Actor Metrics

3 monthly users
2 bookmarks
62% runs succeeded
Created in Feb 2025
Modified 5 days ago

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