LinkedIn Company URL - Mass Finder avatar

LinkedIn Company URL - Mass Finder

Pricing

$10.00/month + usage

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LinkedIn Company URL - Mass Finder

LinkedIn Company URL - Mass Finder

Stop wasting time manually searching for LinkedIn company pages. With LinkedIn Mass Company URL Finder, input your company list and get instant access to their LinkedIn URLs. Automate your search and streamline your workflow today!

Pricing

$10.00/month + usage

Rating

0.0

(0)

Developer

ScrapeVerse

ScrapeVerse

Maintained by Community

Actor stats

13

Bookmarked

400

Total users

15

Monthly active users

9 days ago

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What is LinkedIn Company URL – Mass Finder?

LinkedIn Company URL – Mass Finder is a powerful automation tool that helps you instantly discover official LinkedIn company page URLs in bulk.

Instead of manually searching for each company one by one on LinkedIn, simply input a list of company names — and the tool automatically returns their corresponding LinkedIn company URLs in structured format.

Perfect for:

  • Lead generation
  • Market research
  • Sales prospecting
  • Data enrichment
  • Competitive analysis
  • CRM database building

Paste company names → run → get company URLs instantly.


Why Use LinkedIn Company URL – Mass Finder?

Manually searching LinkedIn company pages is:

  • Time-consuming
  • Repetitive
  • Hard to scale
  • Inefficient for bulk datasets

This tool eliminates manual effort and allows you to process dozens or hundreds of companies in a single run.

Key Benefits

✔ Bulk company search ✔ Multi-query support ✔ Pagination control ✔ Structured export-ready output ✔ Ideal for large-scale data workflows

You focus on strategy — the tool handles discovery.


Easy Inputs for Mass Extraction

A standout feature of LinkedIn Company URL – Mass Finder is its streamlined input system designed for high-volume processing.

Supported Parameters

  • page → Page number to start from (e.g., 1)
  • queries → Company names separated by newline (\n)
  • resultsPerPagPerQuery →The number of results you want per page for each query (e.g., 10).

This allows you to:

  • Continue extraction from a specific page
  • Handle large company lists efficiently
  • Scale research workflows seamlessly

Especially useful for agencies, research firms, and sales teams processing extensive datasets.


How It Works

  1. Prepare your company list (one per line)
  2. Configure page and result settings
  3. Run the actor
  4. Receive structured company URLs in JSON format

Simple. Fast. Scalable.


Sample Input & Output

Input Example

{
"page": 1,
"queries": "Google\nTesla",
"resultsPerPagPerQuery": "10"
}

Output Example

[
{
"title": "Google",
"link": "https://www.linkedin.com/company/google",
"searchQuery": "Google"
},
{
"title": "Google: Jobs",
"link": "https://www.linkedin.com/company/google/jobs",
"searchQuery": "Google"
},
...
]

Each result includes:

  • title (company page title)
  • link (LinkedIn company URL)
  • searchQuery (original company name searched)

Use Cases

Teams commonly use this tool for:

  • Building verified LinkedIn company databases
  • Enriching CRM records
  • Mapping competitors
  • Preparing outreach lists
  • Market intelligence research
  • Large-scale company validation

FAQ

❓ Does this tool require LinkedIn login?

No. It collects publicly available company URLs from LinkedIn. No authentication is required.


❓ Can I search multiple companies at once?

Yes. Add each company name on a new line inside the queries field. The tool processes all queries in a single run.


❓ What does the page parameter do?

It allows you to start extraction from a specific result page — useful when working with large datasets or continuing previous runs.


❓ What format is the output delivered in?

The output is structured JSON, making it easy to:

  • Convert to CSV
  • Import into Google Sheets
  • Push into CRM systems
  • Integrate into automation pipelines

❓ Is this suitable for lead generation?

Yes. Sales, marketing, and research teams use it to quickly identify official company LinkedIn pages at scale.


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