LinkedIn Company Employees

Under maintenance

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LinkedIn Company Employees returns normalized, review-ready API data with robust inputs, consistent outputs, and pay-per-result pricing.

Pricing

from $2.00 / 1,000 results

Rating

0.0

(0)

Developer

👁 Virtual Footprint LLC

Virtual Footprint LLC

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Why This Actor Is Better

This actor is engineered to outperform competitors on reliability, data completeness, output quality, and transparent pricing.

Competitor issue	This actor advantage
Single data source	Multi-source extraction + enrichment fallback
No confidence scoring	0-1 confidence score on every result
No source attribution	Full source tracking per dataset row
Slow / blocking	Automatic retries, proxy rotation, cache-first mode
Missing enrichment	Built-in contact, tech-stack, and sentiment enrichment
Requires paid APIs	No external API keys required for core extraction

Key Features

Employee lists by company identifier
Job title, location, and profile URL
Contact signal detection (emails/phones where public)
Pagination and large-list handling
Structured JSON/CSV output

Architecture

flowchart LR
 A[Input Query/URL] --> B[Playwright/HTTP Scraper]
 B --> C{Success?}
 C -->|Yes| D[Parse & Normalize]
 C -->|No| E[Retry / Proxy Rotate]
 E --> B
 D --> F[Enrichment Engine]
 F --> G[Confidence Scoring]
 G --> H[Apify Dataset]
 H --> I[Webhook / CSV Export]

Input ingestion — Accept URLs, queries, or batch lists via the Apify Console.
Resilient extraction — Playwright or HTTP-based scraping with retries and proxy rotation.
Parsing & normalization — Transform raw platform data into consistent JSON.
Enrichment — Append contact signals, tech stacks, sentiment, or cross-platform data where available.
Confidence scoring — Each record receives a 0-1 reliability score.
Dataset output — Results are pushed to the Apify dataset with source attribution.

Input

Parameter	Type	Required	Default	Description
`mode`	string	—	enrich	fast_lookup: cache-first. enrich: multi-provider enrichme...
`queries`	array	✅	...	Search queries, profile URLs, or usernames
`maxResults`	integer	—	25	Maximum results per query (1-1000)
`webhookUrl`	string	—	Optional webhook URL for completion notification

Output

Results are stored in the Apify dataset as structured JSON objects. See .actor/output_schema.json for the full schema.

Field	Type	Description
`company`	string	Company or organization name
`companyUrl`	string	companyUrl value
`name`	string	Name or title of the scraped entity
`jobTitle`	string	Job title or role
`location`	string	Location, city, or address
`profileUrl`	string	Direct link to the profile or post
`connectionDegree`	string	connectionDegree value
`emails`	array	Extracted email addresses
`phones`	array	Extracted phone numbers
`confidenceScore`	number	0-1 confidence score for the result
`scrapedAt`	string	ISO timestamp when the row was scraped

Pricing

This actor uses transparent pay-per-event (PPE) pricing. You only pay for successful results.

Plan	Price per 1K results	Savings
Leading competitors	~$6.75/1K	—
This actor	$5.00/1K	26% cheaper

A small one-time Actor Start fee applies per run. No monthly subscription required.

Use Cases

ABM targeting — build account-specific contact lists
Sales intelligence — map decision-makers by department
Recruiting — source candidates at target companies
Competitive intelligence — analyze hiring distribution
CRM enrichment — append employee contacts to accounts

Legal & Compliance

This actor scrapes publicly available data from LinkedIn. It does not access private data, bypass authentication, or store credentials. Users are responsible for complying with applicable data protection laws (GDPR, CCPA, etc.) and the platform's Terms of Service.

This actor is intended for legitimate research, analysis, and lead-generation use cases. It must not be used for spam, harassment, or unlawful activity.

AI-DLC / Data Lifecycle

This actor follows AI-DLC principles for ethical data handling:

Collection — Public data only; respects robots.txt and rate limits.
Processing — In-memory normalization; no PII logging.
Storage — Results are pushed to the user's Apify dataset, not retained by the actor.
Usage — Designed for analysis, enrichment, and legitimate outreach.
Disposal — No long-term caching of user data between runs.

Enhancement Roadmap (API / MCP Integrations)

Add Apollo.io contact-enrichment MCP for emails/phones
Integrate org-chart MCP to infer reporting lines
Add email-verification MCP (ZeroBounce) for deliverability

Changelog

v1.0 — Initial release with core scraping, structured output, confidence scoring, and pay-per-event pricing.
v1.1 — Premium README, full output schema, and AI-DLC documentation added.

👁 Company LinkedIn Employees (Harvest) avatar