LinkedIn Jobs Scraper | Remove Duplicate Jobs
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LinkedIn Jobs Scraper | Remove Duplicate Jobs
3 days trial then $5.00/month - No credit card required now
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.
You can access the LinkedIn Jobs Scraper | Remove Duplicate Jobs 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 "startUrls": [{ "url": "https://www.linkedin.com/jobs/search/?f_TPR=r604800&geoId=100025096&keywords=data+scientist" }],
10 "keyword": [
11 "Software Engineer",
12 "Data Scientist",
13 "Product Manager",
14 ],
15 "publishedAt": "",
16 "proxy": { "useApifyProxy": True },
17}
18
19# Run the Actor and wait for it to finish
20run = client.actor("cheap_scraper/linkedin-job-scraper").call(run_input=run_input)
21
22# Fetch and print Actor results from the run's dataset (if there are any)
23print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
24for item in client.dataset(run["defaultDatasetId"]).iterate_items():
25 print(item)
26
27# 📚 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 Pythonis 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:
cheap_scraperActor Metrics
4 monthly users
-
2 stars
60% runs succeeded
Created in Jan 2025
Modified 4 days ago
