Press Release Lead Scraper — Funding, M&A & Sales Triggers

Turn public company announcements into ranked, source-backed revenue opportunities — without paying for AI.

This Actor monitors five press-release source families, removes duplicates, classifies business events, and applies deterministic opportunity intelligence. Every useful row can tell you what changed, how valuable and timely the signal is, which business needs probably appeared, who may own them, and how to act.

The cost-to-upside asymmetry is the product: 100 ranked company-event leads cost about $0.55. One $500 project has 909× that run cost in gross deal value. One $2,500 project has 4,545×. No outcome is guaranteed, but the data cost is tiny compared with even a modest B2B win.

Why buyers use it

• Agencies: find companies with fresh budgets, launches, expansion, or integration work.
• B2B sales teams: reach accounts when a public event creates a credible reason to talk.
• Recruiters: catch funding, expansion, restructuring, and executive changes.
• M&A and advisory teams: monitor acquisitions, divestitures, financing, and strategic moves.
• Investors and analysts: normalize multi-wire company events into one dataset.
• PR teams and journalists: monitor announcements and visible media/IR contacts.

Intelligence without AI

No LLM calls, token bills, hallucinated facts, or unpredictable prompts. The intelligence layer uses transparent rules:

1. Event detection — funding, M&A, customer wins, launches, executive hires, expansion, earnings, partnerships, legal events, and restructuring.
2. Opportunity weighting — events with stronger budget or operational consequences receive more points.
3. Freshness scoring — newer signals rank above stale announcements.
4. Evidence scoring — disclosed amounts, company identity, domain, contacts, named executives, tickers, and multiple simultaneous signals add value.
5. Confidence scoring — measures how complete and verifiable the extracted record is.
6. Commercial mapping — converts each event into likely needs, buyer roles, a sales motion, timing window, and outreach hook.

The score is inspectable in scoreBreakdown. Buyers can see exactly why a lead ranked highly.

What each row can include

• primaryEvent and eventTypes
• opportunityScore and opportunityGrade (A–D)
• confidenceScore
• timingWindow and freshnessDays
• buyingSignals and transparent scoreBreakdown
• eventAmount
• businessNeeds and salesMotion
• targetBuyerRoles
• whyItMatters, suggestedAction, and outreachHook
• companyName, companyDomain, tickers, and named executive details
• public media/IR contacts
• canonical source URL for verification

One workflow

There are no scraper modes.

1. Enter optional companies, tickers, topics, or events.
2. Choose the result limit and lookback period.
3. Run.
4. Send ranked opportunities to CSV, JSON, Excel, an Apify Dataset, or your automation.

Leave sources empty to use the built-in source mix.

Built-in coverage

• PR Newswire
• GlobeNewswire
• PRWeb
• EIN Presswire
• Business Wire RSS

You can also provide compatible RSS/Atom feeds, listing pages, or direct release URLs. Output is balanced across source families so one high-volume wire does not crowd out the others.

Quick start

{
  "queries": ["funding", "acquisition", "expansion", "chief marketing officer"],
  "lookbackDays": 7,
  "maxReleases": 100
}

All inputs are optional. With no queries, the Actor returns recent announcements with a classified business trigger. Add a company or topic query to monitor matching announcements outside the standard trigger categories.

Input

queries        optional company, ticker, topic, or event filters
lookbackDays   1–365 days; default 7
maxReleases    1–5,000 rows; default 100
sources        optional feed/listing/direct-release URLs

Pagination, enrichment, classification, deduplication, and scoring remain internal.

Example result

{
  "publishedAt": "2026-07-20T12:00:00.000Z",
  "companyName": "ExampleCo",
  "companyDomain": "example.com",
  "primaryEvent": "funding",
  "eventTypes": ["funding", "expansion"],
  "eventAmount": "$25 million",
  "opportunityScore": 88,
  "opportunityGrade": "A",
  "confidenceScore": 100,
  "timingWindow": "act_now_0_3_days",
  "buyingSignals": [
    "event:funding",
    "fresh_7_days",
    "disclosed_budget_or_value",
    "public_contact_available",
    "crm_matchable_domain",
    "multiple_company_signals"
  ],
  "businessNeeds": ["hiring", "growth systems", "sales capacity", "market expansion"],
  "salesMotion": "new_budget",
  "targetBuyerRoles": ["Founder / CEO", "CFO", "VP Sales"],
  "whyItMatters": "Fresh capital usually creates near-term hiring and vendor spend.",
  "suggestedAction": "Pitch a fast, specific way to deploy the new budget.",
  "outreachHook": "ExampleCo just announced a $25 million funding event...",
  "contactEmails": ["media@example.com"],
  "sourceName": "GlobeNewswire",
  "title": "ExampleCo raises $25 million to expand",
  "url": "https://example.com/release"
}

Fields are returned only when supported by source evidence. The Actor does not invent missing contacts, domains, amounts, executives, or potential earnings.

The economics

Pricing is pay per result:

• Actor start: $0.05
• Ranked company-event row: $0.005

10 opportunities       ≈ $0.10
100 opportunities      ≈ $0.55
1,000 opportunities    ≈ $5.05

Illustrative gross-value comparison for a 100-row run:

One $500 project       = 909× the $0.55 run cost
One $2,500 project     = 4,545× the $0.55 run cost
One $10,000 project    = 18,181× the $0.55 run cost

At the per-result price, one $2,500 project equals the result fees for 500,000 rows before start fees. That is why this works as research infrastructure: it does not need a huge conversion rate to justify the data expense.

These are arithmetic examples, not earnings promises. Actual returns depend on your offer, targeting, sales execution, delivery costs, conversion rate, and Apify platform charges.

Revenue workflows

Funding and expansion

Schedule daily searches for funding, expansion, facilities, and market entry. Route A/B opportunities to agencies, recruiters, IT providers, RevOps consultants, and growth teams.

M&A services

Track acquisitions, mergers, and divestitures. Sell integration, migration, legal, staffing, finance, communications, and change-management work.

Executive first-90-day outreach

Monitor appointments for CEO, CFO, CTO, CMO, and operational leadership. Use executiveName, executiveRole, and timingWindow for relevant first-90-day offers.

Product-launch demand

Find launches that create immediate needs in paid media, PR, analytics, CRO, partnerships, customer support, and distribution.

Account and competitor monitoring

Schedule company names, brands, products, or tickers. Trigger a webhook when matched evidence appears.

Automation

Use Apify Schedules, integrations, or webhooks to send completed datasets to:

• HubSpot, Salesforce, Clay, or another CRM
• Google Sheets or Airtable
• Make, Zapier, or n8n
• Slack or email alerts
• AI agents and MCP workflows
• a warehouse, dashboard, or internal API

For recurring workflows, use a short lookback and deduplicate downstream by url.

Accuracy and limits

• Classification, scoring, and recommendations are deterministic heuristics, not financial or legal advice.
• Opportunity score estimates commercial relevance; it does not predict a closed sale.
• Confidence score measures record completeness, not the truth of a publisher's claims.
• Contacts are public release contacts, not guaranteed decision-makers.
• Publishers may expose only RSS metadata or change/block detail pages.
• Always verify the original url before outreach or consequential decisions.
• Follow applicable laws, source terms, and outreach rules.

Support

If a supported source changes or a field is parsed incorrectly, open an issue from the Actor page with the source URL and run ID.