B2B Qualified Lead Intelligence

Turn public business websites into structured, qualified B2B lead intelligence.

This Actor combines contact enrichment, technology-stack detection, commercial website signals, resilient retrieval, and transparent scoring in one dataset. It is designed for lead research, sales operations, market intelligence, automation workflows, and AI agents that need more than a raw list of domains.

What you get

For each website, the Actor can return:

• Company name and domain
• Public business email addresses and phone numbers
• Contact, about, pricing, careers, and booking/demo pages
• Social profiles
• Technology stack signals such as CMS, e-commerce, frameworks, analytics, advertising, CRM/forms, chat, payments, booking tools, and CDN/infrastructure
• Commercial signals such as pricing/quote availability, booking/demo options, careers, newsletters, contact forms, e-commerce, analytics, and advertising
• A lead score from 0–100
• Lead grade: A, B, C, D, or U
• Confidence score
• Three specialized sub-scores:
  • Contactability — how easy the business is to reach with public data
  • Digital maturity — observable technology and digital-operation signals
  • Commercial signals — observable website signals that may make the lead more actionable
• A recommended next action
• Reasons and warnings explaining the result
• Retrieval diagnostics when a website is difficult to access

Lead grades

Grade	Meaning
A	High-completeness, digitally mature lead. Prioritize review/outreach if it matches your target market.
B	Strong prospect with useful business/contact signals.
C	Usable lead, but additional enrichment may improve it.
D	Low contactability or limited observable signals. Enrich before outreach.
U	Unknown / insufficient retrieval. The Actor did not collect enough reliable data to judge the business.

Grade U is intentionally different from Grade D. A website protected by a security challenge, for example, is not automatically treated as a weak business.

Retrieval strategy

The Actor starts with fast HTTP extraction. When the retrieved page is genuinely too sparse, it can fall back to a browser-based strategy and proxy access. It also reports whether fallback was used, whether a challenge was detected, and whether the available data is sufficient for scoring.

This approach helps keep normal runs inexpensive while reserving heavier browser retrieval for websites that actually need it.

Technology detection

Technology signals are based on observable public website evidence such as scripts, embedded resources, markup, and response headers. Detection includes categories such as:

• WordPress, Wix, Squarespace
• Shopify, WooCommerce, Magento
• Next.js, React, Vue, Angular, Nuxt
• Google Analytics, Google Tag Manager, Segment, Hotjar, Microsoft Clarity
• Google Ads, Meta Pixel, LinkedIn Insight Tag
• HubSpot, Salesforce, Marketo, Mailchimp
• Intercom, Zendesk, Tawk.to
• Stripe, PayPal
• Calendly, Acuity Scheduling, OpenTable, Resy
• Cloudflare, CloudFront, Fastly, Vercel, Netlify

The detector uses stricter signatures for technologies that are prone to false positives. For example, a plain mention of a booking platform is not enough to classify it as an installed booking technology.

Example input

{
  "websites": [
    "https://example.com",
    "https://another-business.com"
  ],
  "maxPagesPerSite": 4,
  "requestTimeoutSecs": 15,
  "maxConcurrency": 15
}

Example output

{
  "companyName": "Example Company",
  "domain": "example.com",
  "businessEmails": ["sales@example.com"],
  "phones": ["+1 555 555 0123"],
  "technologies": {
    "ecommerce": ["Shopify"],
    "analytics": ["Google Tag Manager"]
  },
  "qualification": {
    "score": 84,
    "grade": "A",
    "confidence": 90,
    "provisional": false,
    "subScores": {
      "contactability": 95,
      "digitalMaturity": 72,
      "commercialSignals": 65
    },
    "recommendedAction": "Prioritize outreach"
  }
}

Important interpretation note

The score measures public contact completeness and observable digital/commercial maturity. It does not claim that a company intends to buy a product or service, and it is not a substitute for your own target-market criteria.

A high-scoring company can still be a poor fit for your offer. A lower-scoring company may simply expose less information publicly.

Responsible use

Use the Actor with public business websites and comply with applicable laws, website terms, privacy requirements, and your own outreach policies. The Actor is intended for legitimate business research and automation.

Built for automation

Outputs are structured for use in:

• CRM enrichment pipelines
• Lead-ranking workflows
• AI agents
• Sales operations
• Market research
• Prospecting datasets
• Automated qualification workflows

The Actor can process a list of domains in one run and stores one structured result per website in the default dataset.