LinkedIn Company Scraper
Pricing
from $5.00 / 1,000 results
LinkedIn Company Scraper
Extract companies from LinkedIn. Returns employee count, industry, headquarters, description, and specialties. Optional employee profile scraping. Pay-per-result.
Pricing
from $5.00 / 1,000 results
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NanoScrape
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3 days ago
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Enrich companies with LinkedIn data: employee count, industry, headquarters, description, specialties, website, founded year, follower count, top employees with profile URLs, and recent company posts.
HTTP-only, no browser needed. ~128MB RAM, pay-per-result.
How It Works
- If
linkedin_urlis provided, the actor extracts the company slug directly (recommended). - If not provided, the actor searches Google via
GOOGLE_SERPproxy to find the LinkedIn company page. - The actor scrapes the public LinkedIn guest page (
/organization-guest/company/{slug}) which contains full company data in structured HTML. No login or cookies required. - Optionally scrapes the people page for employee profiles filtered by title.
Use with AI Agents (MCP)
Connect this actor to any MCP-compatible AI client: Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or custom agents.
Apify MCP server URL:
https://mcp.apify.com?tools=santamaria-automations/linkedin-company-scraper
Example prompt once connected:
"Use
linkedin-company-scraperto enrich these companies with LinkedIn data. Return the results as a table."
Clients that support dynamic tool discovery (Claude.ai, VS Code) receive the full input schema automatically via add-actor.
Input
{"companies": [{"company_id": "acme-1","company_name": "Example Company Ltd.","linkedin_url": "https://www.linkedin.com/company/example-company"},{"company_id": "acme-2","company_name": "Sample Widgets GmbH","website_domain": "sample-widgets.example"}],"includeEmployees": true,"maxEmployeesPerCompany": 10,"employeeTitleFilters": ["HR", "CEO", "CTO"],"requestDelay": 3000,"proxyConfiguration": {"useApifyProxy": true,"apifyProxyGroups": ["RESIDENTIAL"]}}
Input Fields
| Field | Type | Required | Default | Description |
|---|---|---|---|---|
companies | array | Yes | - | Companies to enrich |
companies[].company_id | string | Yes | - | Your internal identifier |
companies[].company_name | string | Yes | - | Company name |
companies[].linkedin_url | string | Recommended | - | Direct LinkedIn URL (skips search) |
companies[].website_domain | string | No | - | Improves search accuracy when no URL provided |
includeEmployees | boolean | No | false | Scrape employee profiles from people page |
maxEmployeesPerCompany | integer | No | 10 | Max employees per company (1-50) |
employeeTitleFilters | string[] | No | ["HR","CEO","CTO","Recruiter","People","Talent"] | Filter by title keywords |
requestDelay | integer | No | 2000 | Delay between requests in ms |
linkedinCookie | string | No | - | Optional li_at cookie for authenticated access (more data) |
linkedinEmail | string | No | - | Optional: login to get li_at automatically |
linkedinPassword | string | No | - | Optional: login password |
Output
Each company produces one dataset row:
{"company_id": "acme-1","company_name": "Example Company Ltd.","linkedin_url": "https://www.linkedin.com/company/example-company","employee_count": 5000,"employee_count_range": "1,001-5,000","industry": "Software Development","headquarters": "Munich, Bavaria","description": "Example Company Ltd. builds sample software for demo purposes.","specialties": ["Sample Product", "Demo Service", "Widget Manufacturing"],"website": "https://www.example.com","founded": "2015","company_type": "Privately Held","follower_count": 182760,"address": null,"employees": [{ "name": "Jane Doe", "title": "Head of People", "linkedin_url": "https://www.linkedin.com/in/jane-doe-example" }],"posts": [{ "text": "We are hiring across our engineering teams.", "posted_at": "2d", "likes": null, "comments": null }],"error": null}
Extracted Fields
| Field | Description |
|---|---|
employee_count | Upper bound of employee range (e.g., 5000 for "1,001-5,000") |
employee_count_range | Raw range string from LinkedIn |
industry | Company industry |
headquarters | City, Region |
description | Full company description |
specialties | List of specialties or focus areas |
website | Company website URL |
founded | Year founded |
company_type | "Privately Held", "Public Company", etc. |
follower_count | LinkedIn follower count |
employees | Top visible employees with LinkedIn profile URLs |
posts | Up to 5 recent company updates |
Pricing
Pay-per-result via Apify Pay-Per-Event billing:
| Event | Price | Description |
|---|---|---|
| Actor start | $0.001 | Charged once per run |
| Company enriched | $0.005 | Charged per company row returned |
Enriching 1,000 companies costs about $5, plus RESIDENTIAL proxy traffic. No monthly fees.
Numeric LinkedIn IDs
Older websites sometimes embed LinkedIn URLs in the numeric-ID form (for example https://www.linkedin.com/company/19051). LinkedIn walls those URLs behind a login page, so the actor probes a small set of candidate slugs built from company_id (typically the website domain) and company_name, and switches to the first slug URL that returns real company data. When this happens the output row sets resolved_from_numeric_id: true. If no candidate resolves, the row is emitted with error: "numeric_id_unresolvable" and no per-result charge is applied.
Tips
- Always provide
linkedin_urlwhen available. It is faster and more reliable than search. - LinkedIn URLs can be found on company websites (footer or header links), Google Maps data, or business directories.
- The LinkedIn slug often differs from the legal company name (e.g., "Example Company AG" may map to
example-company, notexample-company-ag). - Use
requestDelay: 3000or higher to avoid rate limiting (HTTP 999). - RESIDENTIAL proxy is required. Datacenter IPs get blocked.
Use Cases
- B2B Lead Enrichment: add employee counts, industry, and HQ to your company database.
- Sales Intelligence: find decision-maker profiles via the employees list.
- Market Research: analyze industry distribution, company sizes, and specialties across a list of companies.
- Competitive Analysis: track competitor follower counts and recent posts.
Related Actors
Discovery:
- Google Maps Scraper - collect places and companies in bulk
Enrichment:
- Website Email Scraper - pull emails and phones from company sites
- Website Contact Extractor - LLM-powered people extraction
- AI Icebreaker Generator - one personalized cold-outreach line per business
- GBP Completeness Audit - score Google Business Profiles for lead prioritization
Issues & Feature Requests
If a field is missing or looks off for a given company, open an issue on the actor's Issues tab and we will take a look.