LinkedIn Jobs & Company Scraper
1 day trial then $19.99/month - No credit card required now
LinkedIn Jobs & Company Scraper
1 day trial then $19.99/month - No credit card required now
Actively Maintained - Cheap Rental & Run Cost - LinkedIn Jobs Scraper + Companies - to extract job listings worldwide, gathering all essential details. Export results for analysis, connect via API, & integrate with other apps. Ideal for job seekers, recruitment & agencies. Unofficial LinkedIn API.
You can access the LinkedIn Jobs & Company Scraper programmatically from your own Python 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 ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "search_url": "https://www.linkedin.com/jobs/search?keywords=Manager&location=United%20States&geoId=103644278&f_JT=F&f_E=4&f_PP=100219842&f_SB2=1&f_TPR=&f_WT=1&position=1&pageNum=0" }
9
10# Run the Actor and wait for it to finish
11run = client.actor("fetchclub/linkedin-jobs-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16 print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startLinkedIn Jobs & Company Scraper API in Python
The Apify API client for Python is the official library that allows you to use LinkedIn Jobs & Company Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
FetchClubActor Metrics
52 monthly users
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6 stars
97% runs succeeded
3.6 hours response time
Created in Sep 2024
Modified 2 days ago
