LinkedIn Jobs Scraper | AI Enrichment
Pricing
from $0.90 / 1,000 job results
Get up to 1,000 LinkedIn jobs per run with full descriptions and original links. Skip repeat jobs for alerts, job boards, and spreadsheets. Add AI enrichment and English translation when needed.
You can access the LinkedIn Jobs Scraper | AI Enrichment 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 "firstRunMode": False,10 "keyword": "Software Engineer",11 "location": "Germany",12 "postedWithin": "24h",13 "orderBy": "newest",14 "companyProfileEnrichment": False,15 "aiEnrichment": {16 "enabled": False,17 "accuracy": "silver",18 },19 "translateToEnglish": False,20 "includeRaw": True,21 "maxItems": 100,22 "dedupe": {23 "enabled": True,24 "key": "default",25 },26 "analyticsEnabled": False,27 "schemaVersion": "nomad-agent-job-search-input-v1",28}29
30# Run the Actor and wait for it to finish31run = client.actor("nomad-agent/linkedin-enrich-translate-normalize-scraper").call(run_input=run_input)32
33# Fetch and print Actor results from the run's dataset (if there are any)34print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")35for item in client.dataset(run.default_dataset_id).iterate_items():36 print(item)37
38# 📚 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 | AI Enrichment API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: