Pricing
Pay per usage
Extract Likes with the following details from a LinkedIn post url : • FullName • Headline • LinkedIn URL • Content URL
0.0 (0)
Pricing
Pay per usage
6
205
38
Issues response
68 days
Last modified
7 months ago
You can access the LinkedIn Post Like Scraper (fullName, headline, urls etc...) 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.
![Linkedin Profile Posts Scraper [NO COOKIES] avatar](https://images.apifyusercontent.com/s_O_fFD0AYINXh8_JVN3CD3Ofg4QN-ZCDgVnobPoBp8/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vdFhKaEQ5SFNvdTY4N2NEUTQtYWN0b3ItTFFRSVhOOU90aGY4ZjdSNW4tS1loTXZ4SVB0Vy1saW5rZWRpbl9jb2xvcmVkXzIuanBn.webp){kind=avatar}
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "proxyConfiguration": { "useApifyProxy": True } }9
10# Run the Actor and wait for it to finish11run = client.actor("meetmagnet-owner/linkedin-post-like-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-startThe Apify API client for Python is the official library that allows you to use LinkedIn Post Like Scraper (fullName, headline, urls etc...) API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: