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Linkedin Sales Navigator Scraper

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Linkedin Sales Navigator Scraper

Linkedin Sales Navigator Scraper

saswave/linkedin-sales-navigator-scraper
Try for free

1 day trial then $25.00/month - No credit card required now

Extract Leads and Accounts from a linkedin sales navigator search url. Get last name, first name, jobtitle, linkedin, company

You can access the Linkedin Sales Navigator 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 = { "search": "https://www.linkedin.com/sales/search/company?query=(filters%3AList((type%3AINDUSTRY%2Cvalues%3AList((id%3A3%2Ctext%3AComputer%2520Hardware%2520Manufacturing%2CselectionType%3AINCLUDED)))))&sessionId=PGPKLFycTF6Xjl9yzuocTQ%3D%3D" }
9
10# Run the Actor and wait for it to finish
11run = client.actor("saswave/linkedin-sales-navigator-scraper").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 Sales Navigator Scraper API in Python

The Apify API client for Python is the official library that allows you to use Linkedin Sales Navigator Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community

Actor Metrics

  • 27 monthly users

  • 4 stars

  • 20% runs succeeded

  • 3.3 hours response time

  • Created in Apr 2023

  • Modified 12 days ago