LinkedIn Company Scraper 🔗

🎉 Turn public LinkedIn company pages into clean, structured data — no login, no API key, one row per company, with industry, size, headquarters, followers and specialties. Built for B2B sales, recruiting and competitive intelligence.

🔍 What is the LinkedIn Company Scraper — and when should you use it?

Give this actor company names or LinkedIn company URLs and it returns matching companies from public LinkedIn company pages — as clean, deduplicated rows you can filter, export or feed to an AI agent. Every run queries the source live, so the data is as fresh as the registry itself.

Use it when you need: a company company list for outreach; formation / status monitoring; or a canonical registry record for KYB and due diligence.

Use something else when: you need the official registry filing — this is a LinkedIn profile, not a government registry.

🤖 Use with AI agents

Already on the Apify MCP server? Ask for this Actor by name: foxlabs/linkedin-company-scraper.

Your agent can pay for its own runs. This Actor is pay-per-event with agentic payments, so an agent can discover it, run it and settle the bill over x402 (USDC on Base) or Skyfire — no Apify account or API token of its own. Billing is the same either way: per delivered record, never for errors.

Otherwise paste this into Claude, ChatGPT, Cursor or any MCP-enabled assistant:

I want to pull company company records using the Apify Actor `foxlabs/linkedin-company-scraper`.
Input: `queries` is a list of company names or LinkedIn company URLs. `maxResultsPerQuery` caps rows per query.
Start with: {"queries":["undefined"],"maxResultsPerQuery":50}
Ask me what to look up, run the Actor, then summarise the rows as a table.

The machine-readable API, MCP config and OpenAPI definition live at apify.com/foxlabs/linkedin-company-scraper.md.

📋 Overview

Everything you need to turn public LinkedIn company pages into clean, structured data — in one actor, with no login, cookies or API key.

Why teams pick this actor:

• ✅ Whole source, one call — name or ID in, matching companies out.
• 🧹 No empty-promise columns — only fields this registry actually fills; degenerate columns are removed.
• 🔗 Stable identifiers — every row carries the source's own IDs, ready to join across runs and to other Fox Labs actors.
• 💰 Pay only for results — per-row pricing, empty/failed lookups never billed.
• 🤖 Agent-ready — MCP + x402 agentic payments.

✨ Features

• 🔍 Name or ID lookup — relevance-ranked name search or exact registry-ID lookup.
• 🏢 Full entity profile — status, legal form, formation date, address and the registry’s own contact fields.
• 🧹 Clean schema — deduplicated camelCase rows, ready for CSV/Excel/JSON.

🎬 Quick Start

curl -X POST "https://api.apify.com/v2/acts/foxlabs~linkedin-company-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries":["undefined"],"maxResultsPerQuery":50}'

🚀 Getting Started (3 steps)

1. Choose your targets — company names or LinkedIn company URLs.
2. Set the cap — maxResultsPerQuery limits rows per query.
3. Run and export — get a clean dataset as JSON, CSV or Excel.

📥 Input

{"queries":["undefined"],"maxResultsPerQuery":50}

Field	Type	Description
queries	array	Company names or LinkedIn company URLs.
maxResultsPerQuery	integer	Caps rows per query.
maxConcurrency	integer	How many queries to fetch at once.
includeRaw	boolean	Attach the source’s untouched record under raw.

📤 Output

One row per company, saved to the dataset. Every row also carries query, scrapedAt, and — when a lookup fails — an error explaining why (never silently dropped, never billed).

Field	Description
slug	Slug
linkedinUrl	Linkedin Url
name	Name
website	Website
websiteHost	Website Host
websiteUrl	Website Url
industry	Primary industry (NACE)
companyType	Company Type
companySize	Company Size
specialties	Specialties
specialtiesText	Specialties Text
description	Description
about	About
employeeCount	Employee Count
employeeCountFormatted	Employee Count Formatted
employeeCountCompact	Employee Count Compact
companySizeBucket	Company Size Bucket
companySizeBucketSource	Company Size Bucket Source
followers	Followers
followersCompact	Followers Compact
jobsSearchUrl	Jobs Search Url
addressStreet	Address Street
addressLocality	Address Locality
addressRegion	Address Region
addressPostalCode	Address Postal Code
addressCountry	Address Country
headquarters	Headquarters
logoUrl	Logo Url
source	Source
sourceCountry	Source Country
jobCount	Job Count
jobCountText	Job Count Text
jobCountIsLowerBound	Job Count Is Lower Bound
scrapedAtIso	Scraped At Iso
founded	Founded
slogan	Slogan

💼 Use cases

1. Account research — profile target companies from LinkedIn. Input: company names or URLs. Output: industry + size + HQ. Use: an account brief.

2. List enrichment — attach LinkedIn firmographics to a list. Input: company URLs. Output: firmographics + followers. Use: an enriched list.

3. Competitive intel — track competitors’ size and growth signals. Input: company URLs. Output: size + followers. Use: a competitor sheet.

🔗 Integration

JavaScript / Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('foxlabs/linkedin-company-scraper').call({"queries":["undefined"],"maxResultsPerQuery":50});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]);

Python

from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')
run = client.actor('foxlabs/linkedin-company-scraper').call(run_input={"queries":["undefined"],"maxResultsPerQuery":50})
for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

Automation (n8n / Zapier / Make): schedule or webhook → HTTP request to the actor API with your queries → handle the JSON dataset → push to a sheet, CRM or dashboard.

📊 Pricing

Pay-per-event: per delivered record. Empty or failed lookups are never billed. View current pricing.

❓ FAQ

Do I need an account, login or API key? No. This reads public LinkedIn company pages.

What do I search by? Company names or LinkedIn company URLs.

How current is the data? Every run queries the source live, so results are as fresh as the registry.

What company fields are returned? Industry, company size, headquarters, follower count, specialties and links from the public LinkedIn page.

Can I export to CSV / Excel / JSON? Yes — directly from the Apify dataset.

🐛 Troubleshooting

• Fewer rows than expected — raise maxResultsPerQuery, or refine the name.
• A name returns an unexpected entity — it matched a similar registered name; search the exact registry ID.
• No rows for a name — try the entity’s exact legal name or its registry ID.

⚖️ Is it legal to scrape this data?

This actor reads publicly available LinkedIn company-page data. Results can still contain personal data (e.g. a person’s name); personal data is protected by the GDPR and similar laws, so only process it with a legitimate basis. See Apify’s blog post on the legality of web scraping.

🤝 Support & contact

• 🌐 Website: data.foxlabs.com.tr
• 📧 Email: info@foxlabs.com.tr
• 🐛 Issues: open a ticket in the Actor’s Issues tab
• 🧰 More clean B2B data actors: Fox Labs on Apify

Changelog

0.2 — 2026-09-07

• Enabled AI-agent payments (x402) + rebuilt the README to the full standard (What-is / when, AI-agents + x402 agentic payments + MCP, Overview, Features, Use cases, Integration, FAQ, Troubleshooting, Support & contact).

0.0

• Initial release: data from public LinkedIn company pages by name or registry ID.