B2B Company News & Buying Signals Extractor avatar

B2B Company News & Buying Signals Extractor

Pricing

$10.00 / 1,000 company news & signals analyzeds

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B2B Company News & Buying Signals Extractor

B2B Company News & Buying Signals Extractor

Extract recent **company announcements, press releases, blog posts, and buying signals** from any B2B domain in seconds. Automatically generates **pre-formatted AI Icebreakers** (English & French) ready for outreach sequences in **n8n, Make, Claude MCP, or OpenAI agents**.

Pricing

$10.00 / 1,000 company news & signals analyzeds

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llio masta

llio masta

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B2B Company News, Press Release & Buying Signals Extractor (v1.2)

Extract recent company announcements, press releases, blog posts, and buying signals from any B2B domain globally in seconds.

Includes real date extraction (RSS, microdata, HTML time tags), multilingual support (EN, FR, PT, ES, DE) with auto-language resolution based on TLD, and automatically generates localized AI Icebreakers ready for outreach sequences in n8n, Make, Claude MCP, or OpenAI agents.


🌟 Key Features

  • Multilingual AI Icebreakers (v1.2): Generates personalized cold email openers in English, French, Portuguese, Spanish, or German based on the target domain extension (.br, .fr, .es, .de) or explicitly set language parameter.
  • Real Date Extraction: Parses exact dates (YYYY-MM-DD) from RSS feeds, Schema.org microdata, <time> tags, OpenGraph metadata, and textual date patterns.
  • Advanced Buying Signal Classifier: Categorizes news into:
    • 💰 Funding / Investment (Seed, Series A-D, Valuations, Capital Raised, Investors)
    • 🚀 Product Launch (New Features, Betas, Major Releases)
    • 🤝 Partnership & M&A (Integrations, Acquisitions, Strategic Alliances)
    • 👤 Executive Hiring (CEO, VP, Board Member Appointments)
    • 📈 Company Growth & Awards (Milestones, Revenue Growth, Industry Awards)
  • Global Auto-Discovery: Scrapes RSS/Atom feeds (/feed, /rss.xml) and falls back to international news pages (/news, /blog, /press, /noticias, /actualites, /prensa).
  • LLM & Agent Ready: Clean JSON output designed for prompt context injection and automated B2B workflows.

🎯 Use Cases

  • Global Cold Outreach Personalization: Instantly generate localized email icebreakers in your prospect's native language.
  • Sales Intelligence (n8n / Make): Trigger automated outreach workflows when a target company announces a new funding round or product launch.
  • AI SDR / Agent Context: Provide Autonomous AI Agents with real-time news data and classified intent signals.

📥 Input Format

{
"startUrls": [
{ "url": "[https://stripe.com](https://stripe.com)" },
{ "url": "[https://airbnb.com](https://airbnb.com)" }
],
"maxNewsPerCompany": 5,
"generateIcebreakers": true,
"language": "en"
}

Input Parameters

ParameterTypeDefaultDescription
startUrlsArrayRequiredList of company domain URLs to analyze.
maxNewsPerCompanyInteger5Maximum number of news items to retrieve per domain (1 to 20).
generateIcebreakersBooleantrueGenerates localized icebreaker openers for top news.
languageStringAuto-detectedPreferred language for icebreakers (en, fr, pt, es, de). If omitted, auto-detected from TLD.

📤 Output Example

{
"domain": "stripe.com",
"url": "[https://stripe.com](https://stripe.com)",
"scrapedAt": "2026-09-13T21:57:01.356Z",
"targetLanguage": "en",
"totalNewsFound": 5,
"hasRecentActivity": true,
"aiIcebreaker": "I noticed your recent announcement regarding \"Rethinking risk in the age of AI\" — impressive milestone for stripe.com!",
"news": [
{
"title": "Rethinking risk in the age of AI",
"url": "[https://stripe.events/stripeforumseattle1](https://stripe.events/stripeforumseattle1)",
"publishedAt": "2026-06-04",
"signalType": "General Announcement"
},
{
"title": "Introducing next-day settlement, a faster way to access your earnings",
"url": "[https://docs.stripe.com/payouts/next-day-settlement](https://docs.stripe.com/payouts/next-day-settlement)",
"publishedAt": "2025-12-17",
"signalType": "Product Launch"
}
]
}

💰 Pricing Model

This Actor operates on a Pay Per Event (PPE) model:

  • $0.01 per company domain analyzed (news-scraped event)