Pricing
Pay per event
Extract LinkedIn job listings with salaries, skills, company data & growth insights. Access the world's largest professional network. 200+ countries, structured JSON output, no-code setup.
You can access the 🔥LinkedIn Job Data Scraper🔥 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 Search Jobs Scraper [Without Cookies] avatar](https://images.apifyusercontent.com/R2Hg7HUu4OYUkhlVwW1-lPBPl1NGLT-ic5bF4_S0Hnk/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vMGlpckJJNUNkSTFIbkJxVnQvS0ZxbEVUOFFKSm1xbk8xUjgtbGlua2VkaW4ucG5n.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 = {9 "max_results": 10,10 "search_terms": [11 "Product Manager",12 "Software Engineer",13 ],14 "country": "United States",15 "location": "",16 "posted_since": "1 year",17}18
19# Run the Actor and wait for it to finish20run = client.actor("nextapi/linkedin-job-data-scraper").call(run_input=run_input)21
22# Fetch and print Actor results from the run's dataset (if there are any)23print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])24for item in client.dataset(run["defaultDatasetId"]).iterate_items():25 print(item)26
27# 📚 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 Job Data Scraper🔥 API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: