LinkedIn Jobs Scraper
Pricing
from $0.50 / 1,000 job saveds
Scrape LinkedIn job listings from search URLs or keyword-based searches with date, job-type, experience, and remote filters. Each result includes title, company, location, salary, full description, criteria, apply links, and optional company profiles. No login required.
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 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 "startUrls": [{ "url": "https://www.linkedin.com/jobs/search?keywords=Full+Stack+Developer&location=United+States&f_TPR=r86400" }],10 "keywordSearches": [{11 "keywords": "Python Developer",12 "location": "United States",13 }],14}15
16# Run the Actor and wait for it to finish17run = client.actor("calm_builder/linkedin-jobs-scraper").call(run_input=run_input)18
19# Fetch and print Actor results from the run's dataset (if there are any)20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])21for item in client.dataset(run["defaultDatasetId"]).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 API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: