Pricing

Pay per event

Sales Navigator Company Search Scraper ⚡ No Cookies ✅

Unleash powerful sales insights! This tool scrapes Sales Navigator Company Search results effortlessly. Get data without cookies, saving you time and hassle. Streamline your prospecting and close more deals. Essential for any serious sales professional seeking an edge.

Pricing

Pay per event

Rating

0.0

(0)

Developer

Pratik Dani

Actor stats

Bookmarked

Total users

Monthly active users

2 months ago

Last modified

Categories

Lead generation

Automation

Social media

You can access the Sales Navigator Company Search Scraper ⚡ 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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 = { "url": "https://www.linkedin.com/sales/search/company?query=(spellCorrectionEnabled%3Atrue%2Cfilters%3AList((type%3ACOMPANY_HEADCOUNT%2Cvalues%3AList((id%3AB%2Ctext%3A1-10%2CselectionType%3AINCLUDED))))%2Ckeywords%3Agoo)&sessionId=V%2BfhmkmqTlSofc8%2F1FmgJw%3D%3D&viewAllFilters=true" }
9
10# Run the Actor and wait for it to finish
11run = client.actor("pratikdani/sales-navigator-company-search-scraper-no-cookies").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

Sales Navigator Company Search Scraper ⚡ No Cookies ✅ API in Python

The Apify API client for Python is the official library that allows you to use Sales Navigator Company Search Scraper ⚡ 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:

Sales Navigator Company Search Scraper ⚡ No Cookies ✅ API in JavaScript

Sales Navigator Company Search Scraper ⚡ No Cookies ✅ API through CLI

Sales Navigator Company Search Scraper ⚡ No Cookies ✅ OpenAPI definition

Sales Navigator Company Search Scraper ⚡ No Cookies ✅ API

Sales Navigator Search Scraper ⚡ No Cookies ✅

pratikdani/sales-navigator-search-scraper-no-cookies

This tool efficiently scrapes contact and company data from Sales Navigator search results without needing cookies. It extracts individual and company details, and sales intelligence, enabling users to build prospect lists, personalize outreach, and gain market insights.

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Linkedin Sales Navigator Scraper ( No cookies required )

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Scrapes Linkedin sales navigator data ( People and Companies ).

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Extract data from LinkedIn Sales Navigator search results, including profiles, companies, contact information, and more. This Actor supports pagination and deep scraping for detailed employee and company profile information, as well as emails, company emails, and employee emails.

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LinkedIn Sales Navigator | Lead Search Scraper [NO COOKIE/URL]

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Scrape LinkedIn Sales Navigator lead search results—no LinkedIn session cookie or pre-built search URLs required. Just input your search parameters and get lead profiles from search results, all directly within this actor.

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Linkedin Sales Navigator Scraper

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Scrape Linkedin sales navigator search results, lists, new results, profiles to extract social media urls, company website, positions

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LinkedIn Sales Navigator Scraper

hlswh1021/LinkedInScraper

Extract detailed professional data from LinkedIn Sales Navigator search results. Perfect for lead generation, recruitment, and market research. Scrapes complete profiles including job titles, company details, contact information, and work history.