![Linkedin Jobs Scraper avatar](https://images.apifyusercontent.com/f5tl8XrHXYS3FtIlbxrqg0_2oQ9o61pzK21FsoXTTNc/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vZ3lPeEVzcW5oanZFSjJ4SEQvV2tUZEpXT2VSYVRhV1QxanMtbG9nby1ibGFjay01MTIuanBn.webp)
Linkedin Jobs Scraper
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No credit card required
View all Actors![Linkedin Jobs Scraper](https://images.apifyusercontent.com/f5tl8XrHXYS3FtIlbxrqg0_2oQ9o61pzK21FsoXTTNc/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vZ3lPeEVzcW5oanZFSjJ4SEQvV2tUZEpXT2VSYVRhV1QxanMtbG9nby1ibGFjay01MTIuanBn.webp)
![Linkedin Jobs Scraper](https://images.apifyusercontent.com/f5tl8XrHXYS3FtIlbxrqg0_2oQ9o61pzK21FsoXTTNc/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vZ3lPeEVzcW5oanZFSjJ4SEQvV2tUZEpXT2VSYVRhV1QxanMtbG9nby1ibGFjay01MTIuanBn.webp)
Linkedin Jobs Scraper
data-navio/linkedin-jobs-scraper
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No credit card required
Extract data from hundreds of Linkedin Jobs from one Linkedin jobs list page. Get Job title, Post date, Job location, Applicants Count, Job description, Seniority Level, Job industries, and more. Download the data in JSON, CSV, and Excel and use it in apps, spreadsheets, and reports.
The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = { "proxyConfiguration": { "useApifyProxy": True } }
8
9# Run the Actor and wait for it to finish
10run = client.actor("data-navio/linkedin-jobs-scraper").call(run_input=run_input)
11
12# Fetch and print Actor results from the run's dataset (if there are any)
13print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
14for item in client.dataset(run["defaultDatasetId"]).iterate_items():
15 print(item)
16
17# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Community
Actor metrics
- 12 monthly users
- 3 stars
- 100.0% runs succeeded
- Created in May 2024
- Modified 26 days ago
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