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Lead Qualifier and Enrichment

Pricing

Pay per usage

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Lead Qualifier and Enrichment

Lead Qualifier and Enrichment

Scrapes company websites, qualifies leads using AI, scores buying intent, and generates personalized outreach messages. Supports OpenAI and Anthropic.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

abdulrahman alrashid

abdulrahman alrashid

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

4 days ago

Last modified

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AI Lead Qualifier & Outreach Generator

Scrapes company websites, qualifies leads using AI (OpenAI or Anthropic), scores buying intent, identifies pain points, and generates personalized outreach messages.

What it does

  1. Scrapes each company website (homepage, about, pricing, team, blog, careers)
  2. Extracts company name, industry, size signals, tech stack, products/services, recent activity
  3. Qualifies each lead using your chosen LLM with your product context and ICP
  4. Generates personalized outreach emails, icebreakers, and buying signal analysis

Input

FieldTypeDescription
companyUrlsArrayCompany website URLs to qualify
yourProductDescriptionStringWhat you sell (used for AI qualification context)
idealCustomerProfileStringYour ICP description
llmProviderStringopenai or anthropic
llmApiKeyStringYour LLM API key (optional — scrape-only mode without it)
llmModelStringModel name (default: gpt-4o-mini)
maxPagesPerCompanyNumberMax pages to scrape per company (default: 5)
generateOutreachBooleanGenerate outreach messages (default: true)
outreachToneStringProfessional, Casual, or Consultative
proxyConfigurationObjectProxy settings

Output

Each lead produces a JSON object with:

  • companyUrl — the input URL
  • companyName — detected company name
  • industry — classified industry (e.g., "B2B SaaS", "FinTech")
  • estimatedSize — employee count estimate
  • mainProducts — list of detected products/services
  • techStack — detected technologies (React, AWS, Stripe, etc.)
  • recentActivity — blog posts, hiring activity, pricing changes
  • qualificationScore — 0-100 AI score
  • qualificationReason — why the score was given
  • buyingSignals — detected buying intent signals
  • painPoints — likely pain points
  • decisionMakerLikely — who to contact
  • personalizedOutreach{ subject, body } email
  • icebreaker — one-liner for cold outreach
  • competitorsMentioned — competitors found on their site

Scrape-only mode

If no LLM API key is provided, the actor still scrapes all company data and returns structured results — just without AI qualification scores or outreach messages.

Pricing

$10.00 per 1,000 leads qualified ($0.01 per lead).

Tech stack detection

Detects 60+ technologies across categories:

  • Frontend: React, Vue, Angular, Svelte, Next.js, Nuxt, Gatsby, Tailwind, Bootstrap
  • CMS: WordPress, Shopify, Webflow, Wix, Squarespace, HubSpot
  • Cloud: AWS, Google Cloud, Azure, Vercel, Netlify, Cloudflare
  • Payments: Stripe, PayPal
  • Analytics: Google Analytics, Mixpanel, Amplitude, Segment, Hotjar, PostHog
  • Chat: Intercom, Zendesk, Drift, Crisp, Freshworks
  • Error tracking: Sentry, Datadog, Bugsnag, LogRocket
  • Marketing: Mailchimp, Klaviyo, Marketo, Pardot, Salesforce
  • Auth: Auth0, Okta, Firebase, Supabase