Pricing
Pay per event
Monitor LinkedIn profiles for signals like job changes, new posts, and topic-specific posts. Sends email notifications when changes are detected. Uses LLM-based intelligent change detection.
Pricing
Pay per event
Rating
0.0
(0)
Developer
Pratik Dani
Actor stats
0
Bookmarked
4
Total users
2
Monthly active users
12 days ago
Last modified
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You can access the LinkedIn People Watcher 🕶️ ✅ 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.
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 "profile_urls": ["https://www.linkedin.com/in/williamhgates"],10 "signal_configurations": ["job_change"],11 "email_recipients": ["your-email@example.com"],12}13
14# Run the Actor and wait for it to finish15run = client.actor("pratikdani/linkedin-people-watcher").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-startThe Apify API client for Python is the official library that allows you to use LinkedIn People Watcher 🕶️ ✅ API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: