Linkedin Jobs Scraper Pro avatar
Linkedin Jobs Scraper Pro

Pricing

$20.00/month + usage

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Linkedin Jobs Scraper Pro

Linkedin Jobs Scraper Pro

Developed by

datawizards

datawizards

Maintained by Community

Linkedin-Jobs-Scraper-Pro is an Apify actor that extracts LinkedIn job postings by keyword and location. Produces JSON with job IDs, titles, companies, descriptions, seniority levels, company profiles, proxy support, and timestamps for recruitment analytics and automation workflows and alerts. Smart

0.0 (0)

Pricing

$20.00/month + usage

0

Total users

2

Monthly users

2

Runs succeeded

>99%

Last modified

3 days ago

You can access the Linkedin Jobs Scraper Pro 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 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 "search_jobs": ["software Engineer"],
10 "location": "San Francisco, CA",
11 "proxyConfiguration": {
12 "useApifyProxy": True,
13 "apifyProxyGroups": ["RESIDENTIAL"],
14 },
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("hello.datawizard-owner/linkedin-jobs-scraper-pro").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23 print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Linkedin Jobs Scraper Pro API in Python

The Apify API client for Python is the official library that allows you to use Linkedin Jobs Scraper Pro API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include: