Advanced Linkedin Job Scraper
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Advanced Linkedin Job Scraper
3 days trial then $30.00/month - No credit card required now
Scrape linkedin job postings and get company and recruiter details. Supports boolean search and other advanced search filters. Success rate is > 98%
You can access the Advanced Linkedin Job Scraper programmatically from your own Python 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 "searchUrl": "https://www.linkedin.com/jobs/search/?keywords=&location=United%20States&locationId=&geoId=103644278&f_TPR=&f_C=1035&f_PP=104145663&f_JT=F&f_WT=3%2C2&f_SB2=1&position=1&pageNum=0",
10 "startPage": 1,
11 "count": 25,
12 "proxy": {
13 "useApifyProxy": True,
14 "apifyProxyGroups": ["BUYPROXIES94952"],
15 "apifyProxyCountry": "US",
16 },
17 "minDelay": 2,
18 "maxDelay": 5,
19}
20
21# Run the Actor and wait for it to finish
22run = client.actor("curious_coder/linkedin-jobs-search-scraper").call(run_input=run_input)
23
24# Fetch and print Actor results from the run's dataset (if there are any)
25print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
26for item in client.dataset(run["defaultDatasetId"]).iterate_items():
27 print(item)
28
29# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startAdvanced Linkedin Job Scraper API in Python
The Apify API client for Python is the official library that allows you to use Advanced Linkedin Job Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Curious Coder- 214 monthly users
- 19 stars
- 98.2% runs succeeded
- 18 hours response time
- Created in Jul 2023
- Modified 4 days ago
