Linkedin comment scraper
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Linkedin comment scraper
3 days trial then $25.00/month - No credit card required now
Scrape comments from any linkedin post with following details: Comment text, Comment author details, Total Likes, Total replies, etc
You can access the Linkedin comment 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 "postUrl": "https://www.linkedin.com/posts/linkedin_add-job-preferences-activity-6704397478923423745-OR6o",
10 "sortType": "RELEVANCE",
11 "startPage": 1,
12 "minDelay": 2,
13 "maxDelay": 7,
14 "proxy": {
15 "useApifyProxy": True,
16 "apifyProxyCountry": "US",
17 },
18}
19
20# Run the Actor and wait for it to finish
21run = client.actor("curious_coder/linkedin-comment-scraper").call(run_input=run_input)
22
23# Fetch and print Actor results from the run's dataset (if there are any)
24print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
25for item in client.dataset(run["defaultDatasetId"]).iterate_items():
26 print(item)
27
28# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startLinkedin comment scraper API in Python
The Apify API client for Python is the official library that allows you to use Linkedin comment scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Curious CoderActor Metrics
42 monthly users
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7 stars
97% runs succeeded
9.5 hours response time
Created in Sep 2023
Modified 10 days ago
