LinkedIn Jobs Scraper — Normalized Contract
Pricing
from $0.90 / 1,000 job results
Public LinkedIn jobs mapped to nomad-agent-job-v1 from guest cards, detail markup, and JobPosting JSON-LD. Includes ready-made MCP, n8n, Make, and Airtable integration presets. Optional owner-managed AI fills only missing description-backed facts; optional DeepL translates selected short fields.
You can access the LinkedIn Jobs Scraper — Normalized Contract 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 API & Integrations 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 = {}9
10# Run the Actor and wait for it to finish11run = client.actor("nomad-agent/linkedin-enrich-translate-normalize-scraper").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")15for item in client.dataset(run.default_dataset_id).iterate_items():16 print(item)17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use LinkedIn Jobs Scraper — Normalized Contract API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: