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$3.00 / 1,000 comments

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LinkedIn Comments Scraper | Extract Post Engagement Data

Try for free

Scrape LinkedIn post comments quickly. Extract text, mentions, nested replies, and reactor profile data. Export to JSON, CSV, or Excel. No accounts/cookies required

Pricing

$3.00 / 1,000 comments

Rating

5.0

(1)

Developer

Benjar Scraping API

Actor stats

Bookmarked

Total users

Monthly active users

2 months ago

Last modified

Categories

Automation

Social media

Lead generation

You can access the LinkedIn Comments Scraper | Extract Post Engagement Data 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 = {
9    "postUrl": "https://www.linkedin.com/posts/farhan-yousafzai-8a1363352_from-a-young-age-i-started-learning-things-activity-7428514378418835456-dRxt?utm_source=share&utm_medium=member_desktop&rcm=ACoAAFlgI1sBy7aj2ZDKMMG_Hk414mQukBozr3w",
10    "maxComments": 100,
11    "sortOrder": "RELEVANCE",
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("benjarapi/linkedin-post-comments").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20    print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

LinkedIn Comments Scraper | Extract Post Engagement Data API in Python

The Apify API client for Python is the official library that allows you to use LinkedIn Comments Scraper | Extract Post Engagement Data API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

LinkedIn Comments Scraper | Extract Post Engagement Data API in JavaScript

LinkedIn Comments Scraper | Extract Post Engagement Data API through CLI

LinkedIn Comments Scraper | Extract Post Engagement Data OpenAPI definition

LinkedIn Comments Scraper | Extract Post Engagement Data API

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