LinkedIn Company Scraper ✅ No Cookies · $2.50/1k

Enrich public LinkedIn company pages without cookies, browser sessions, or li_at tokens. Paste company URLs (or slugs), get structured firmographics, and pay only when a company succeeds.

$2.50 per 1,000 successful companies · Failures free · Actor Start ~$0.00005

👉 Pair with people enrichment: LinkedIn Profile Scraper
👤 Publisher: up2data · Support: nick@dbee.io

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Why this Actor

Cookie-based LinkedIn company scrapers depend on a logged-in session that expires, gets challenged, or puts a real account at risk. That is a bad foundation for CRM syncs and agent jobs.

Up2Data is cookieless. You send public company URLs or slugs. We return firmographic JSON. No LinkedIn login on your side.

Ideal for:

• Account research and territory planning
• Enriching company URLs from Clay / Apollo / CRMs
• Joining people data (from our Profile Actor) to company firmographics
• Agentic workflows that need stable pay-per-result pricing

Honest scope: firmographics from public company pages. Not email finding, not employee email dumps.

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What you get (output fields)

Field	Type	Description
name	string	Company name
url	string	LinkedIn company URL
website	string	Company website (when available)
industry	string	Industry
description	string	Company description
headcount	number	Headcount signal (when available)
company_size	object	min (size band lower bound when available)
hq	object	city, country
specialties	array of strings	Specialties
scraped_at	string	Scrape timestamp
_meta	object	creditsUsed, requestId, sourceUrl
error	object	code, message (on failure; failures are free)

Optional input fields lets you restrict top-level keys in the output. Same price whether you request all fields or a subset.

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Pricing

Event	Price
Successful company	$0.0025 ($2.50 / 1,000)
Failed company	$0
Actor start	~$0.00005

Cost examples

Successful companies	Approx. cost
100	~$0.30
1,000	~$2.50
10,000	~$25.00
50,000	~$12.500.00

You pay for successes only. Bad URLs and hard failures do not burn PPE credits.

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Input

Field	Type	Required	Description
companyUrls	array of strings	✅	Public LinkedIn company URLs or slugs (e.g. microsoft)
fields	array of strings	optional	Restrict top-level output fields (same price)

Prefill

https://www.linkedin.com/company/microsoft

Example input

{
  "companyUrls": [
    "https://www.linkedin.com/company/microsoft",
    "microsoft"
  ]
}

Example input with field filter

{
  "companyUrls": [
    "https://www.linkedin.com/company/microsoft"
  ],
  "fields": [
    "name",
    "website",
    "industry",
    "headcount",
    "hq",
    "url"
  ]
}

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Example output

EXAMPLE — illustrative public-style sample consistent with the schema. Not a live scrape guarantee.

{
  "name": "Microsoft",
  "url": "https://www.linkedin.com/company/microsoft",
  "website": "https://www.microsoft.com",
  "industry": "Software Development",
  "description": "Every company has a mission. What's ours? To empower every person and every organization on the planet to achieve more...",
  "headcount": 220000,
  "company_size": {
    "min": 10001
  },
  "hq": {
    "city": "Redmond",
    "country": "United States"
  },
  "specialties": [
    "Business Software",
    "Cloud Computing",
    "Developer Tools"
  ],
  "scraped_at": "2026-08-11T12:00:00.000Z",
  "_meta": {
    "creditsUsed": 1,
    "requestId": "example-request-id",
    "sourceUrl": "https://www.linkedin.com/company/microsoft"
  }
}

Full demo file: see the Up2Data growth pack demo/sample-company.json or run the Actor with the prefill URL.

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Why no cookies?

Approach	What you maintain	Typical failure mode
Cookie / li_at tools	Fresh session from a real LinkedIn account	Cookie expires, account flagged, pipeline stops
Browser automation with login	Proxies, CAPTCHAs, account health	Fragile at scale
Up2Data (this Actor)	List of public company URLs / slugs	Individual URL failures only; no session to babysit

Cookieless = better for schedulers, Clay tables, APIs, and agents.

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Comparison (pricing & approach)

Approximate public Store pricing for LinkedIn company enrichment. Always verify current competitor pages.

	Up2Data	HarvestAPI (approx.)	ApiMaestro (approx.)	Cookie-based tools
Typical price	$2.50 / 1k successes	~$4 / 1k	~$5 / 1k	Varies + account risk
Cookies required	No	Usually no	Check listing	Yes (li_at / session)
Pay only on success	Yes	Check listing	Check listing	Often run-time / compute
Email finding	No (by design)	Varies	Varies	Sometimes bundled
Profile Actor pair	Yes (link)	Varies	Varies	Varies

We compete on reliability + cookieless ops + fair PPE, not a race to $2/1k.

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Use cases

1. Account lists → firmographics — Industry, HQ, headcount/size, specialties, website from LinkedIn company URLs.
2. People → company join — Take current_company.url from the Profile Scraper and enrich accounts in bulk.
3. Territory & ICP filters — Filter by industry, HQ country, or size band before outbound.
4. Agent pipelines — Call via Apify API; agentic payments are whitelisted for automated usage patterns supported by Apify.

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API & agents

Run from the Apify API, Python/JS clients, or any HTTP agent stack.

• PPE: $0.0025 per successful company
• Failures: free
• Optional fields filter for leaner payloads (same price)
• Agentic payments: whitelisted for automated / agent-driven usage on Apify

Support for integration questions: nick@dbee.io

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FAQ

Do I need a LinkedIn cookie or account?
No. Public company URLs or slugs only.

Do you find emails or employee contacts?
No. This Actor returns public company firmographics only.

What if a company fails?
You are not charged PPE for that company. Check error.code / error.message on the item.

Can I limit output fields?
Yes. Pass optional fields (array of top-level keys). Price is unchanged.

Can I use slugs instead of full URLs?
Yes. e.g. microsoft works in companyUrls.

Is there a profile scraper?
Yes: LinkedIn Profile Scraper ✅ No Cookies · $2.50/1k

Who is behind up2data?
Nick Tomic · Support: nick@dbee.io · Profile: apify.com/up2data

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Support

Email nick@dbee.io with run IDs for fastest help.
Store profile: https://apify.com/up2data

If this Actor saved you cookie chaos, a Store review helps other builders find it. Thank you.