LinkedIn Company Scraper
Pricing
from $4.00 / 1,000 results
LinkedIn Company Scraper
Extract public data from LinkedIn company pages without login: name, description, industry, size, employee count, HQ, locations, founding year, followers, specialties, logo, recent posts, and similar companies. Clean JSON/CSV for lead generation, market research, and CRM enrichment.
Pricing
from $4.00 / 1,000 results
Rating
0.0
(0)
Developer
Daniil Fonkov
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
2 days ago
Last modified
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What does LinkedIn Company Scraper do?
LinkedIn Company Scraper extracts public company data from LinkedIn company pages — no LinkedIn account or cookies required. Give it a list of company page URLs and it returns structured JSON with the company name, description, industry, size, headquarters, locations, founding year, follower count, specialties, recent posts, and more.
Running on the Apify platform gives you API access, scheduling, integrations (Zapier, Make, Google Sheets), and monitoring out of the box. You can download results in JSON, CSV, Excel, or HTML.
Why scrape LinkedIn company data?
- Lead generation — build B2B prospect lists with firmographic data (industry, size, location).
- Market research — track competitors, their positioning, and hiring signals.
- CRM enrichment — fill in missing company fields from a single source of truth.
- Investment scouting — monitor company growth via follower and employee counts.
- Content monitoring — the scraper also returns each company's recent LinkedIn posts.
How to use LinkedIn Company Scraper
- Open the Actor and go to the Input tab.
- Paste one or more LinkedIn company page URLs (e.g.
https://www.linkedin.com/company/apify), up to 50 per run. - Click Start and wait for the run to finish.
- Open the Output tab or export the dataset in the format you need.
Input
| Field | Type | Description |
|---|---|---|
linkedInLinks | array | List of LinkedIn company page URLs to scrape (max 50 per run). Required. |
proxyConfiguration | object | Proxy settings. Residential proxies are strongly recommended — LinkedIn aggressively blocks datacenter IPs. Enabled by default. |
{"linkedInLinks": ["https://www.linkedin.com/company/apify","https://www.linkedin.com/company/google"],"proxyConfiguration": {"useApifyProxy": true,"apifyProxyGroups": ["RESIDENTIAL"]}}
Output
One dataset item per company. Example (shortened):
{"success": true,"companyName": "Apify","mission": "Thousands of Actors to automate your business, get real-time web data, and integrate your apps and agents.","employees": "241","website": "https://apify.com/","companySize": "201-500 employees","industry": "Technology, Information and Internet","organizationType": "Privately Held","foundedOn": "2016","description": "Apify is the largest marketplace of tools for AI...","headquarters": "Vodickova 704/36, Prague, 11100, CZ","locations": ["Vodickova 704/36, Prague, 11100, CZ"],"followers": "26,553","specialties": "Web scraping, Browser automation, AI agents...","logoUrl": "https://media.licdn.com/dms/image/...","recentPosts": [{"text": "We gave an AI agent a wallet and let it cook...","publishedAt": "2026-07-01T15:44:56.033Z","url": "https://www.linkedin.com/posts/apify_..."}],"similarCompanies": [{ "name": "n8n", "url": "https://de.linkedin.com/company/n8n" }],"url": "https://www.linkedin.com/company/apify","timestamp": "2026-07-02T11:30:00.000Z"}
You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.
Data fields
| Field | Description |
|---|---|
companyName | Official company name |
mission | Company tagline / slogan |
description | Full "About us" description |
industry | Industry category |
companySize | Size bucket (e.g. "201-500 employees") |
employees | Exact number of employees on LinkedIn |
organizationType | Ownership type (e.g. "Privately Held", "Public Company") |
foundedOn | Founding year |
website | Company website URL |
headquarters | Headquarters address |
locations | All office locations |
followers | LinkedIn follower count |
specialties | Listed specialties |
logoUrl | Company logo image URL |
recentPosts | Recent LinkedIn posts (text, date, URL) |
similarCompanies | "Similar pages" companies (name, URL) |
How much does it cost to scrape LinkedIn company pages?
The Actor uses pay-per-event pricing: you pay a small fee per company result plus platform usage. Scraping 1,000 companies costs about $5–9 in total depending on proxy settings (residential proxy traffic is the main variable cost). You are never charged for failed URLs — only successful results count. There are no subscriptions — you only pay for what you scrape.
You can also cap the maximum cost of a run — the Actor respects the limit and stops gracefully before exceeding it.
Tips
- Deduplicated automatically: the same company URL passed twice is scraped once.
- The Actor throttles requests and retries automatically (rotating the proxy IP on each retry) to reduce blocking; very large batches take proportionally longer.
- Keep residential proxies enabled: they cost slightly more in platform usage but dramatically increase the success rate on LinkedIn.
- URLs that could not be fetched are stored in the
FAILED_URLSrecord of the run's key-value store, so you can retry just the failed ones — free of charge.
FAQ and disclaimers
Is it legal to scrape LinkedIn? This Actor extracts only publicly available data that anyone can see without logging in. However, you are responsible for how you use the data — make sure your use case complies with applicable laws (e.g. GDPR) and LinkedIn's Terms of Service.
Does it need my LinkedIn credentials? No. It never logs in and never asks for cookies or credentials.
A page returned an error — why? LinkedIn aggressively rate-limits anonymous traffic. The Actor retries automatically with rotating proxy IPs, but some URLs may still fail; check the FAILED_URLS record in the key-value store and re-run just those. Failed URLs are never charged.
Found a bug or missing a field you need? Open an issue on the Issues tab — feedback is welcome. Custom solutions are available on request.