Linkedin Posts Reactions Scraper
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Linkedin Posts Reactions Scraper
3 days trial then $25.00/month - No credit card required now
Scrape reactions or likes from linkedin post. Allows you to extract all interactions from a post (comment, like, mentions). Input can be a /posts url. You can also provide a /company or /in url and it will parse multiple posts from the source (organic posts and promoted ads)
You can access the Linkedin Posts Reactions 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 "url": "https://www.linkedin.com/company/financial-times/",
10 "days_since_post": 30,
11 "proxyConfiguration": { "useApifyProxy": False },
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("saswave/linkedin-posts-interactions-parser").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-startLinkedin Posts Reactions Scraper API in Python
The Apify API client for Python is the official library that allows you to use Linkedin Posts Reactions Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
SASWAVE- 16 monthly users
- 5 stars
- 67.5% runs succeeded
- Created in Oct 2023
- Modified 17 days ago
