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from $1.70 / 1,000 extracted linkedin company & employee directories

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LinkedIn Company & Employee Directory

Try for free

Extracts company profiles, employee directories, job titles, and predicted corporate email patterns from LinkedIn companies without requiring browser cookies or account login.

Pricing

from $1.70 / 1,000 extracted linkedin company & employee directories

Rating

0.0

(0)

Developer

David Sandor

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

LinkedIn Company & Employee Directory Intelligence (No Cookies) 🚀

Extracts company profiles, employee directories, job titles, and predicted corporate email patterns from LinkedIn companies without requiring browser cookies or account login.

🌟 20+ Enterprise Enhancements (v2.0)

RAG & LLM Ready: Pre-computed OpenAI token counts and chunked embeddings.
Smart Keyword Filters: Include or exclude records by targeted keyword lists.
Sentiment Scoring: Built-in lexical sentiment rating on text contents.
Noise & Tracking Scrubber: Removes tracking query parameters and boilerplate banners.
Pay-Per-Event (PPE): Ultra-cost-effective pricing per extracted item.
Zero Cold Start: Sub-second execution with automated fallback guarantees.

💻 Integration Examples

Node.js (Apify Client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('linkedin-company-employee-finder').call({
    // Pass customized inputs here
    enableRagEnrichment: true
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log('Extracted Items:', items);

Python

from apify_client import ApifyClient

client = ApifyClient('YOUR_APIFY_TOKEN')
run = client.actor('linkedin-company-employee-finder').call(run_input={ 'enableRagEnrichment': True })
for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

📄 Output Schema

Returns structured JSON, token counts, and RAG vector chunks.

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