LinkedIn Profile Bulk Scraper+Email - No Cookies $3.5/$9 per 1k

Pricing

Pay per event

Try for free

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LinkedIn Profile Bulk Scraper+Email - No Cookies $3.5/$9 per 1k

Try for free

Extract rich LinkedIn profile data—complete work history, education, skills, and more—without using cookies or a LinkedIn account. Designed for scale with high concurrency and quick turnarounds ⚡

Pricing

Pay per event

Rating

5.0

(7)

Developer

Actorlab

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Categories

Lead generation

Social media

Automation

You can access the LinkedIn Profile Bulk Scraper+Email - No Cookies $3.5/$9 per 1k 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 = {
9    "queries": [],
10    "urls": ["https://www.linkedin.com/in/amedeo-sciagura-a1a4b2187"],
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("marketlabs/linkedin-profile-scraper").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-start

linkedin scraper profile API in Python

The Apify API client for Python is the official library that allows you to use LinkedIn Profile Bulk Scraper+Email - No Cookies $3.5/$9 per 1k API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

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