Linkedin Job Details (No Cookies) avatar
Linkedin Job Details (No Cookies)

Pricing

$5.00 / 1,000 results

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Linkedin Job Details (No Cookies)

Linkedin Job Details (No Cookies)

apimaestro/linkedin-job-detail

Developed by

API Maestro

Maintained by Community

Extract comprehensive LinkedIn job details including full description, company information, salary insights, and application statistics. Get detailed data from any LinkedIn job ID.

5.0 (1)

Pricing

$5.00 / 1,000 results

25

Monthly users

63

Runs succeeded

>99%

Response time

3.3 hours

Last modified

13 days ago

You can access the Linkedin Job Details (No Cookies) 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 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
10# Run the Actor and wait for it to finish
11run = client.actor("apimaestro/linkedin-job-detail").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Linkedin Job Details (No Cookies) API in Python

The Apify API client for Python is the official library that allows you to use Linkedin Job Details (No Cookies) API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Pricing

Pricing model

Pay per result 

This Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.

Price per 1,000 items

$5.00