LinkedIn Company Scraper — Details & Posts (No Cookies)
Pricing
$5.00 / 1,000 results
LinkedIn Company Scraper — Details & Posts (No Cookies)
Extract LinkedIn company data — name, size, HQ, locations, specialties, employees and posts — from a company URL. You pay per completed lookup — matched or not. No cookies or account required.
Pricing
$5.00 / 1,000 results
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0.0
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Developer
NeuralVerge
Maintained by CommunityActor stats
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1
Monthly active users
5 days ago
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LinkedIn Company Scraper — Details & Posts ✅ No Cookies
Extract structured LinkedIn company data — name, tagline, about, website, industry, size, follower count, HQ, all office locations, specialties, sample employees and recent posts — from a single company URL. Powered by the Neuralverge API. No cookies or account required, and you pay per completed lookup — matched or not; failed runs are never charged.
Ideal for lead generation, market and competitor research, CRM enrichment, and feeding company data to AI agents.
✨ Why this Actor
- 💸 Simple, predictable billing — no run fee and no start fee. A completed lookup is billed as one company, matched or not; a failed run costs $0.00.
- 🍪 No cookies, login or account — never share LinkedIn credentials or risk account restrictions. Extraction runs on the Neuralverge backend.
- 🏢 Full firmographics — size, followers, founded year, HQ, every office location, specialties, sample employees and posts, in one structured object.
- ⚡ Real-time & structured — fresh data each run and one predictable JSON schema, ready for a spreadsheet, database, CRM or AI pipeline.
🔧 How it works
- Provide a LinkedIn company URL (e.g.
https://www.linkedin.com/company/ibm). - Run the Actor. The heavy lifting — fetching and AI-structuring the profile — happens on the Neuralverge backend.
- Get one flat dataset row per lookup — 20 columns, all at the top level
(
url,companyName,tagline,about,website,linkedinUrl, …). Export to CSV, JSON or Excel, or pull it over the Apify API.
If the company can't be resolved, it comes back as one no result row that echoes
the URL you submitted, billed like any other row.
Input
One company per run.
| Field | Type | Notes |
|---|---|---|
linkedinUrl | string | The LinkedIn company profile URL. |
What you'll receive
One flat row per lookup. Every field sits at the top level of the row, so the Output tab shows a single table with all 20 columns — there are no views to switch between. Exports (CSV, JSON, XML, Excel) contain exactly the same fields.
Columns: url, companyName, tagline, about, website, linkedinUrl, industry, companySize, employeeCount, headquartersCity, headquartersState, headquartersCountry, headquartersFullAddress, foundedYear, followerCount, jobs.
Lists — specialties, locations, employees, posts — come back as arrays. The table renders each as
an expandable "N items" cell; a CSV/JSON/Excel export carries them in full.
Nulls are normal. The column set is the same on every run, so a field the source does not expose for this company comes back
nullrather than disappearing — a spreadsheet or CRM mapping built on one run keeps working on the next.
When nothing is found
A lookup that runs but resolves no company still returns a row, so a batch never silently loses an input:
| Column | Value |
|---|---|
url | the company URL you submitted, echoed back exactly |
found | false |
message | why nothing was returned |
Filter these out with found != false (or drop rows where message is set). This row is
billed as one result — see Pricing.
Example output (real run)
A real dataset row, shown in full.
Pricing
Pay per event — $0.005 per company ($5 per 1,000) written to the dataset. There is no run fee and no start fee.
| Event | Price | Charged |
|---|---|---|
| Actor start | free | never |
| Failed run — invalid input, API error, timeout | free | never |
| Row written to the dataset | $0.005 ($5 / 1,000) | every row, including the "no result" row |
A completed lookup is billed as one company, matched or not. When the source returns
nothing, the Actor writes one explicit no-result row — the query you submitted plus
found: false and a message explaining it — and that row is charged at the normal
per-company price. A run that fails (missing input, bad key, upstream error) writes no row
and costs $0.00.
Pricing is on top of your Apify platform usage.
Rate limit
There is a ceiling on how fast one Apify account can pull from the Neuralverge backend: 10 requests per second for this Actor, counted separately from the other Neuralverge Actors. One run is normally one request, so this is about how many runs you start at once, not about the size of a single run — at typical run times that is dozens of runs in flight at once, which is well above ordinary use.
Updated August 2026: this ceiling was doubled from 5 to 10 requests per second. Bulk jobs that used to hit 429s now go through.
Above the ceiling the backend answers HTTP 429. The Actor waits out the Retry-After it asks
for and retries a few times before giving up; a run that does give up writes no row and is not
charged.
If you need a higher rate for a bulk job, get in touch.
Free plan limits
Users on any paid Apify plan are not affected by anything in this section.
On the Apify Free plan this Actor may be started 5 time(s) per calendar month per user. A run that finds nothing still counts, because the lookup is performed either way. Every Neuralverge Actor carries its own allowance — running one never uses up another's. When a limit is reached the Actor stops gracefully with a status message naming it; everything resets on the 1st of every month, and any paid Apify plan removes all of it.
Integrations & API
Results are stored in a standard Apify dataset — export as CSV, JSON, XML or Excel, or fetch on demand through the Apify API. The Actor also plugs into Apify's integrations (Make, Zapier, n8n, webhooks) and can be called from any MCP client to give an AI agent live company data.
FAQ
Do I need a LinkedIn account or cookies? No. Extraction runs on the Neuralverge backend — you never provide credentials or a session.
Am I charged if a company isn't found? Yes — a lookup that ran is billed as one
company even when it matched nothing; you get a no result row that says so. A run that
fails (missing input, API error, timeout) writes no row and costs $0.00.
How fresh is the data? Each run fetches the profile at run time.
Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation. LinkedIn® is a registered trademark of LinkedIn Corporation. All trademarks are property of their respective owners.
