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πŸ”₯ LinkedIn Jobs Scraper

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3 days trial then $29.99/month - No credit card required now

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πŸ”₯ LinkedIn Jobs Scraper

πŸ”₯ LinkedIn Jobs Scraper

bebity/linkedin-jobs-scraper
Try for free

3 days trial then $29.99/month - No credit card required now

ℹ️ Designed for both personal and professional use, simply enter your desired job title and location to receive a tailored list of job opportunities. Try it today!

You can access the πŸ”₯ LinkedIn Jobs 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    "companyName": [
10        "Google",
11        "Microsoft",
12    ],
13    "companyId": [
14        "76987811",
15        "1815218",
16    ],
17    "proxy": {
18        "useApifyProxy": True,
19        "apifyProxyGroups": ["RESIDENTIAL"],
20    },
21}
22
23# Run the Actor and wait for it to finish
24run = client.actor("bebity/linkedin-jobs-scraper").call(run_input=run_input)
25
26# Fetch and print Actor results from the run's dataset (if there are any)
27print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
28for item in client.dataset(run["defaultDatasetId"]).iterate_items():
29    print(item)
30
31# πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start

πŸ”₯ LinkedIn Jobs Scraper API in Python

The Apify API client for Python is the official library that allows you to use πŸ”₯ LinkedIn Jobs Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

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Maintained by Community

Actor Metrics

  • 560 monthly users

  • 77 stars

  • >99% runs succeeded

  • 11 days response time

  • Created in Feb 2023

  • Modified 2 days ago

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