LinkedIn Jobs Scraper
Pricing
from $0.50 / 1,000 job scrapeds
LinkedIn Jobs Scraper searches and extracts job postings by keywords, location, and company filter. Scrape job title, company, location, salary, employment type, seniority, applicants, description, and direct apply link into clean Excel, CSV, or JSON.
You can access the LinkedIn Jobs 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 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 "keywords": ["Python Developer"],10 "location": "Worldwide",11 "geo_id": "",12 "companies": [],13 "max_jobs": 50,14 "jobs_date_posted": "all",15 "jobs_under_10_applicants": False,16 "jobs_easy_apply": False,17 "scrape_job_details": True,18 "proxyCountry": "US",19}20
21# Run the Actor and wait for it to finish22run = client.actor("crawlix/linkedin-jobs-scraper").call(run_input=run_input)23
24# Fetch and print Actor results from the run's dataset (if there are any)25print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")26for item in client.dataset(run.default_dataset_id).iterate_items():27 print(item)28
29# 📚 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 API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: