LinkedIn Jobs Scraper | Remove Duplicate Jobs
Pricing
$5.00/month + usage
LinkedIn Jobs Scraper | Remove Duplicate Jobs
LinkedIn Jobs Scraper | Remove Duplicate Jobs. The LinkedIn jobs scraper allows you to collect jobs in 2 ways: By providing one or more start URLs, or By entering multiple keywords, search queries. You can use either method individually or combine both.
5.0 (1)
Pricing
$5.00/month + usage
13
Total users
175
Monthly users
87
Runs succeeded
>99%
Issues response
4.9 hours
Last modified
a month ago
You can access the LinkedIn Jobs Scraper | Remove Duplicate Jobs 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 "startUrls": [{ "url": "https://www.linkedin.com/jobs/search/?f_TPR=r604800&geoId=100025096&keywords=data+scientist" }],10 "keyword": ["Software Engineer"],11 "location": "Montreal, Canada",12 "publishedAt": "r86400",13 "proxy": { "useApifyProxy": True },14}15
16# Run the Actor and wait for it to finish17run = client.actor("cheap_scraper/linkedin-job-scraper").call(run_input=run_input)18
19# Fetch and print Actor results from the run's dataset (if there are any)20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])21for item in client.dataset(run["defaultDatasetId"]).iterate_items():22 print(item)23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startLinkedIn Jobs Scraper | Remove Duplicate Jobs API in Python
The Apify API client for Python is the official library that allows you to use LinkedIn Jobs Scraper | Remove Duplicate Jobs API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
