Mass Linkedin Profile Scrapper (no cookies) + ✉️ + ☎️
Pay $100.00 for 1,000 Profiles
Mass Linkedin Profile Scrapper (no cookies) + ✉️ + ☎️
Pay $100.00 for 1,000 Profiles
Import your file and see contacts info being enriched : LinkedIn profiles, emails, phones... from your list of LinkedIn URL of people or company, get a fully functional list of leads, that you can qualify simply. Enrich your file with valuable data, including emails and phone numbers. No cookies.
You can access the Mass Linkedin Profile Scrapper (no cookies) + ✉️ + ☎️ 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 = { "startUrls": [{
9 "url": "https://www.linkedin.com/in/williamhgates",
10 "id": "1",
11 }] }
12
13# Run the Actor and wait for it to finish
14run = client.actor("anchor/linkedin-profile-enrichment").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19 print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startMass Linkedin Profile Scrapper (no cookies) + ✉️ + ☎️ API in Python
The Apify API client for Python is the official library that allows you to use Mass Linkedin Profile Scrapper (no cookies) + ✉️ + ☎️ API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
guillim- 189 monthly users
- 15 stars
- 100.0% runs succeeded
- 8 hours response time
- Created in Apr 2024
- Modified 8 days ago
