LinkedIn Jobs Scraper – Incredibly Fast ⚡️
Pricing
$19.00/month + usage
LinkedIn Jobs Scraper – Incredibly Fast ⚡️
Designed for both personal and professional use, our ⚡️ Blazing fast LinkedIn job scraper scrapes 1,000 listings in under 2 minutes. Built-in residential & datacenter proxy rotation. No setup. Export to CSV, JSON, and more.
5.0 (1)
Pricing
$19.00/month + usage
0
Total users
4
Monthly users
4
Last modified
2 days ago
You can access the LinkedIn Jobs Scraper – Incredibly Fast ⚡️ 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 = {9 "query": "Python Developer",10 "location": "Berlin, Germany",11 "jobsToFetch": 10,12 "contract": False,13 "fullTime": True,14 "partTime": False,15 "temporary": False,16 "volunteer": False,17 "internship": False,18 "internshipLevel": False,19 "entryLevel": False,20 "associate": False,21 "midSeniorLevel": False,22 "director": False,23 "remote": False,24 "hybrid": False,25 "proxySettings": { "useApifyProxy": False },26}27
28# Run the Actor and wait for it to finish29run = client.actor("data_wizard/linkedin-jobs-scraper").call(run_input=run_input)30
31# Fetch and print Actor results from the run's dataset (if there are any)32print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])33for item in client.dataset(run["defaultDatasetId"]).iterate_items():34 print(item)35
36# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startLinkedIn Jobs Scraper – Blazing Fast API in Python
The Apify API client for Python is the official library that allows you to use LinkedIn Jobs Scraper – Incredibly Fast ⚡️ API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
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