LinkedIn Job Postings Scraper
This Actor is unavailable because the developer has decided to deprecate it. Would you like to try a similar Actor instead?
See alternative ActorsLinkedIn Job Postings Scraper
Designed for both personal and professional use, simply enter your job search keywords and location to extract tailored job titles, companies names, locations, job URL and more. This scraper handles infinite scrolling and exports data to any format such CSV, JSON, XML and more. Try it today 🚀
You can access the LinkedIn Job Postings 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 = {
9 "keywords": "Software developer",
10 "location": "United states",
11 "geo_id": "103644278",
12 "li_at_cookie": "",
13 "total_scroll": "20000",
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("eunit/linkedin-job-postings-scraper").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22 print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startLinkedIn Job Postings Scraper API in Python
The Apify API client for Python is the official library that allows you to use LinkedIn Job Postings Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Emmanuel Uchenna
