LinkedIn Jobs Scraper - 31 Fields Per Job
Pricing
from $0.70 / 1,000 results
Scrape LinkedIn job postings by keyword, location or search URL. 15 filters cover date posted, experience level, job type, remote work and company. Each job returns 34 fields including the full description and applicant count. Export to CSV, Excel, JSON or XML.
You can access the LinkedIn Jobs Scraper - 31 Fields Per Job programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youโll 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 "searchQuery": "software engineer",10 "location": "United States",11 "maxItems": 10,12 "scrapeJobDetails": True,13 "extractSkills": True,14 "includeBlockedJobs": False,15 "includeRawHtml": False,16 "maxConcurrency": 10,17}18
19# Run the Actor and wait for it to finish20run = client.actor("parseforge/linkedin-jobs-scraper").call(run_input=run_input)21
22# Fetch and print Actor results from the run's dataset (if there are any)23print(f"๐พ Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")24for item in client.dataset(run.default_dataset_id).iterate_items():25 print(item)26
27# ๐ Want to learn more ๐? Go to โ 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 - 31 Fields Per Job API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: