LinkedIn Sales Navigator Search Scraper
3 days trial then $25.00/month - No credit card required now
LinkedIn Sales Navigator Search Scraper
3 days trial then $25.00/month - No credit card required now
Crawls sales navigator search results and extracts the available data for you to use for enriching your CRM amongst other things. Scrape Company or People data using this one tool.
You can access the LinkedIn Sales Navigator Search 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 = {
9 "startUrls": [{ "url": "url from browser address bar" }],
10 "linkedinCookie": "input as li_at param or the full cookie",
11 "type": "input as 'people' or 'company'",
12 "proxyConfigurationOptions": { "useApifyProxy": True },
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("noddsolutions/linkedin-sales-navigator-search-scraper").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
20for item in client.dataset(run["defaultDatasetId"]).iterate_items():
21 print(item)
22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startLinkedIn Sales Navigator Search Scraper API in Python
The Apify API client for Python is the official library that allows you to use LinkedIn Sales Navigator Search Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Nodd Solutions- 31 monthly users
- 5 stars
- 100.0% runs succeeded
- 8.2 hours response time
- Created in Feb 2024
- Modified 3 months ago
