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Startup Hiring Signals & Linkedin Finder

Under maintenance

Try for free

Automatically extract Founder LinkedIn profiles, verified company details, and real-time hiring status from any list of startup websites. Perfect for B2B lead generation and recruitment.

Pricing

from $10.00 / 1,000 results

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14 days ago

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🚀 Startup Hiring Signals & Founder Contact Finder

Extract real-time hiring intent, open job signals, and verified founder/executive LinkedIn profiles from fast-growing startups.

💡 Why Track Startup Hiring Signals?

When startups post new key job openings (Engineering Leads, Marketing Directors, Sales VPs), it triggers two major events:

Budget Availability: They have fresh capital to spend on tools, agencies, and services.
Operational Gaps: They need immediate help while filling these critical positions.

Startup Hiring Signals & Founder Contact Finder automatically tracks these hiring spikes and enriches each startup with verified founder names, executive titles, and LinkedIn profiles—giving your outbound team an unbeatable warm outreach advantage.

✨ Key Features

🎯 Hiring Intent Detection: Identify startups actively adding headcount across tech, sales, and executive roles.
👤 Founder & C-Suite Contact Matcher: Automatically map key hiring decision-makers (CEOs, CTOs, Founders) to each company.
🔗 Verified LinkedIn Data: Extract clean LinkedIn profile URLs, titles, locations, and company URLs.
⚡ Anti-Block Infrastructure: Built on automated proxy rotation to bypass rate limits effortlessly.
📊 Multi-Format Export: Download enriched lists in CSV, JSON, Excel, or stream via API/Webhooks directly to your CRM.

📥 Input Parameters

Parameter	Type	Default	Description
`startUrls`	Array	`[]`	List of target startup URLs or job board pages
`rolesToFilter`	Array	`["Founder", "CTO", "CEO"]`	Specific executive titles to extract
`maxResults`	Number	`100`	Maximum number of enriched contacts to return
`proxyConfiguration`	Object	`{"useApifyProxy": true}`	Proxy configuration settings

📤 Output Sample

When you run the Actor, it populates your Dataset with structured records:

[
  {
    "companyName": "Acme AI Labs",
    "companyWebsite": "[https://acmeailabs.io](https://acmeailabs.io)",
    "hiringSignal": "Hiring Senior Backend Engineer & Head of Growth",
    "founderName": "Alex Rivera",
    "title": "Co-Founder & CEO",
    "linkedinUrl": "[https://www.linkedin.com/in/alex-rivera-example](https://www.linkedin.com/in/alex-rivera-example)",
    "location": "San Francisco, CA",
    "employeeCount": "11-50",
    "scrapedAt": "2026-07-21T10:00:00.000Z"
  }
]

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