Linkedin Job Scraper 💼
Pricing
$3.00 / 1,000 results
Collect LinkedIn job listings effortlessly 🔍 Extract structured job data for recruitment, market research, and career analysis — fast, reliable, and scalable ⚡
Pricing
$3.00 / 1,000 results
Rating
0.0
(0)
Developer
WebScrap
Actor stats
3
Bookmarked
31
Total users
10
Monthly active users
3 days ago
Last modified
Categories
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You can access the Linkedin Job 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 "search_term": "software engineer",10 "location": "San Francisco, CA",11}12
13# Run the Actor and wait for it to finish14run = client.actor("webscrap18/linkedin-job-scraper").call(run_input=run_input)15
16# Fetch and print Actor results from the run's dataset (if there are any)17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])18for item in client.dataset(run["defaultDatasetId"]).iterate_items():19 print(item)20
21# 📚 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 Scraper 💼 API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: