LinkedIn Jobs Scraper with Applicant Count — No Cookies
Pricing
from $1.20 / 1,000 job with applicant counts
Scrape public LinkedIn job posts with their applicant count — by search, or paste the job URLs you already have. Keep the series to see how fast applicants arrive and how long each job stays open. Failed fetches and empty runs cost $0. No login, no cookies.
You can access the LinkedIn Jobs Scraper with Applicant Count — No Cookies 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 API & Integrations in Apify Console.
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 = {9 "jobs": [],10 "keywords": "software engineer",11 "location": "United States",12 "maxJobs": 20,13 "datePosted": "past-week",14}15
16# Run the Actor and wait for it to finish17run = client.actor("northbell/linkedin-jobs-applicants-scraper").call(run_input=run_input)18
19# Fetch and print Actor results from the run's dataset (if there are any)20print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")21for item in client.dataset(run.default_dataset_id).iterate_items():22 print(item)23
24# 📚 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 Jobs Scraper with Applicant Count — No Cookies API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: