LinkedIn Job Details Scraper
Pricing
$6.00 / 1,000 jobs
LinkedIn Job Details Scraper
The LinkedIn Job Details Scraper extracts job data from LinkedIn job detail URLs, capturing job titles, company names, logos, locations, posting times, descriptions, number of applicants, job criteria, similar jobs, and related job listings—ideal for recruitment insights and job market analysis.
0.0 (0)
Pricing
$6.00 / 1,000 jobs
2
Total users
29
Monthly users
17
Runs succeeded
>99%
Last modified
2 months ago
You can access the LinkedIn Job Details 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 = { "searchUrls": ["https://www.linkedin.com/jobs/view/4165274290"] }9
10# Run the Actor and wait for it to finish11run = client.actor("piotrv1001/linkedin-job-details-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 Job Details Scraper API in Python
The Apify API client for Python is the official library that allows you to use LinkedIn Job Details Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
