Linkedin Jobs Scraper
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See alternative ActorsLinkedin Jobs Scraper
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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.
You can access the Linkedin Jobs 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 = { "proxyConfiguration": { "useApifyProxy": True } }
9
10# Run the Actor and wait for it to finish
11run = client.actor("data-navio/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 Scraper API in Python
The 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:
DataNavio- 17 monthly users
- 5 stars
- 100.0% runs succeeded
- Created in May 2024
- Modified 3 months ago
