M&A Deal Monitor

Monitor companies for acquisition, merger, investment, and business-combination signals.

This Actor is built for corporate development, competitive intelligence, market research, and investment workflows where you need a repeatable company watchlist instead of manual searches.

What it does

Add a list of companies and a date range. The Actor returns structured deal candidates with source links, evidence text, confidence labels, and review guidance.

Common use cases:

• Track recent acquisitions by competitors or portfolio companies
• Monitor large public companies for startup acquisitions and strategic investments
• Build recurring M&A watchlists for market maps, research dashboards, and alerts
• Export deal signals for analysis in spreadsheets, BI tools, or databases

Input

The main input is a list of companies. You can use tickers or company names.

{
  "companies": ["AAPL", "MSFT", "GOOGL", "NVDA", "TSLA"],
  "monthsBack": 12
}

Optional date controls:

• startDate: earliest date to inspect, in YYYY-MM-DD
• endDate: latest date to inspect, in YYYY-MM-DD
• monthsBack: used when startDate is empty

Output

Each detected signal is emitted as one mna_deal_candidate row. If a company cannot be processed, the Actor emits a scrape_error row with a clean diagnostic message.

Main output fields:

• acquirerName
• acquirerTicker
• targetName
• announcedDate
• dealType
• dealStatus
• confidence
• sourceName
• sourceType
• sourceUrl
• evidenceText
• needsReview
• recommendedReviewAction

Results can be exported from Apify as JSON, CSV, Excel, XML, RSS, or HTML.

Pricing

This Actor uses pay-per-event pricing. You are charged for each delivered M&A deal signal, not for companies that return no matching signals.

The starting public beta price is $5.00 per 1,000 delivered deal signals.

Confidence and review

This Actor is a signal monitor, not a guaranteed complete M&A database.

Use:

• HIGH confidence rows as stronger candidates
• MEDIUM confidence rows as candidates that usually deserve a second-source check
• needsReview and recommendedReviewAction to prioritize manual validation
• sourceUrl and evidenceText to inspect the underlying source

Coverage varies by company, date range, source availability, and how quietly a company discloses smaller transactions.

Best practices

• Start with 10-50 companies to validate coverage for your use case.
• Use recognizable tickers when available.
• Review important rows before using them in financial, legal, or investment decisions.
• Schedule recurring runs if you want a monthly monitoring workflow.