Linkedin Sales Navigator Lead Search Scraper 🍪 + email
Pricing
from $2.00 / 1,000 search pages
Extract leads from LinkedIn Sales Navigator with unlimited and safe Deep profile extraction + email search
Pricing
from $2.00 / 1,000 search pages
Rating
4.4
(16)
Developer
HarvestAPI
Maintained by Apify PartnerActor stats
41
Bookmarked
633
Total users
47
Monthly active users
25 days ago
Last modified
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You can access the Linkedin Sales Navigator Lead Search Scraper 🍪 + email 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 API & Integrations 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 "profileScraperMode": "Full",10 "salesNavUrl": "https://www.linkedin.com/sales/search/people?query=(spellCorrectionEnabled%3Atrue%2CrecentSearchParam%3A(doLogHistory%3Atrue)%2Cfilters%3AList((type%3AREGION%2Cvalues%3AList((id%3A103644278%2Ctext%3AUnited%2520States%2CselectionType%3AINCLUDED))))%2Ckeywords%3AFounder)",11 "cookie": "YOUR_LINKEDIN_COOKIE_HERE",12 "userAgent": "YOUR_USER_AGENT_HERE",13}14
15# Run the Actor and wait for it to finish16run = client.actor("harvestapi/linkedin-sales-navigator-lead-search-cookie").call(run_input=run_input)17
18# Fetch and print Actor results from the run's dataset (if there are any)19print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")20for item in client.dataset(run.default_dataset_id).iterate_items():21 print(item)22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Linkedin Sales Navigator Lead Search Scraper 🍪 + email API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: