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Startup Funding Signal Tracker

Pricing

from $15.00 / 1,000 dataset items

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Startup Funding Signal Tracker

Startup Funding Signal Tracker

Extract newly funded startup signals for sales, recruiting, market research, and partner outreach.

Pricing

from $15.00 / 1,000 dataset items

Rating

0.0

(0)

Developer

Techionik

Techionik

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

6 days ago

Last modified

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Extract newly funded startup signals for sales, recruiting, market research, and partner outreach.

This actor is built for buyers who do not want a noisy scrape. It turns simple public text, snippets, or URLs into a compact dataset with only the fields that matter for the workflow. It is intentionally limited to clean, useful rows instead of dumping page text, actor names, internal scores, or duplicate metadata.

What it is best for

  • Fast marketplace-ready research runs
  • Lead qualification and enrichment workflows
  • Competitive intelligence and monitoring
  • CSV exports for sales, marketing, product, and operations teams
  • AI-agent workflows that need predictable fields

Input

The input is intentionally simple:

  • items - paste snippets, page text, job posts, review text, announcements, or public URLs.
  • maxResults - choose how many rows to save, from 1 to 20.

You do not need selectors, CSS rules, browser settings, login cookies, or complicated configuration.

Output

Each saved dataset item contains only these useful fields:

  • startupName - StartupName extracted or inferred from the supplied text.
  • fundingRound - FundingRound extracted or inferred from the supplied text.
  • amountRaised - AmountRaised extracted or inferred from the supplied text.
  • leadInvestor - LeadInvestor extracted or inferred from the supplied text.
  • industry - Industry extracted or inferred from the supplied text.
  • growthIntent - GrowthIntent extracted or inferred from the supplied text.
  • announcementUrl - AnnouncementUrl extracted or inferred from the supplied text.

Example input

{
"items": [
"FinPilot raised $12M Series A led by North Bridge Ventures to expand its finance automation platform for mid-market teams.",
"CareLoop announced a $4.5 million seed round from HealthSpark Capital and will hire across product and partnerships.",
"DataHarbor secured $28M Series B funding to grow enterprise data security sales in North America."
],
"maxResults": 3
}

Example output

{
"startupName": "FinPilot",
"fundingRound": "Series A",
"amountRaised": "$12M",
"leadInvestor": "North Bridge Ventures",
"industry": "finance automation",
"growthIntent": "Hiring and go-to-market expansion after funding.",
"announcementUrl": "manual input"
}

Why this actor is useful

Many scrapers return too much raw data. This actor is shaped for a buyer who wants a ready-to-use spreadsheet: one row per useful signal, clean columns, and no unnecessary filler fields. That makes it easier to plug into Google Sheets, Airtable, CRMs, lead scoring tools, research reports, and AI workflows.

Best model: Pay per event / per dataset item.

Recommended event: apify-default-dataset-item

Suggested price: $0.0045 per funding signal.

This is predictable for users because every paid event maps to one visible dataset row.

Limitations

  • The actor works best with public pages or pasted text.
  • It does not bypass logins, paywalls, CAPTCHA, or private data restrictions.
  • Fields are extracted from visible text and may need human review for high-stakes decisions.
  • For very large monitoring jobs, split inputs into batches to keep results easy to inspect.

Categories

BUSINESS, LEAD_GENERATION

Search keywords

startup funding, funded companies, sales leads, investor signals