# B2B Lead Intelligence (`ghewaretech/b2b-lead-intelligence`) Actor Transform company URLs into actionable sales intelligence. Extract contact info, tech stack, social profiles, and business signals from any company website. - **URL**: https://apify.com/ghewaretech/b2b-lead-intelligence.md - **Developed by:** [Unisuraksha Tracking Systems Pvt Ltd](https://apify.com/ghewaretech) (community) - **Categories:** Lead generation, SEO tools - **Stats:** 38 total users, 5 monthly users, 92.3% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 1,000 url-enricheds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## B2B Lead Intelligence ICP-driven lead intelligence for B2B sales teams. Describe your Ideal Customer Profile, pick the public sources to scan, and the actor will **find** matching companies, **enrich** each with contacts / tech stack / decision-makers / buying-intent signals, and **rank** them by 0-100 fit score — all in one run. No LinkedIn / Apollo / Google scraping; everything is login-free and challenge-compliant. > **Three things business-development executives actually need: who to contact, why now, and whether the lead is worth your time.** This actor delivers all three for every lead it surfaces. ### How it works 1. **Define your ICP** — industries, size band, tech stack, geo, keywords. 2. **Pick sources** — `yc` (Y Combinator directory), `hn-hiring` (HN "Who is hiring?" thread), `techcrunch` (funding/launch articles), `prnewswire` (corporate press releases), `cb-news` (Crunchbase News). 3. **The actor discovers** matching companies, dedupes across sources, and ranks by relevance. 4. **The actor enriches** each lead — emails, phones, tech stack, social profiles, decision-makers, intent signals. 5. **The actor scores** every lead 0-100 against your ICP and (optionally) drafts 2-3 personalised outreach hooks. Already have a target list? Skip sourcing and feed URLs directly — the same enrichment + scoring layer applies. #### Two run modes | Mode | Per-lead price | What you get | Best for | |---|---|---|---| | **`feed`** (fast) | **$0.0005** | Sourced lead + ICP relevance + signal-derived intent (funding amount, hiring signal, launch). No per-site crawl. ~1s per lead. | High-volume daily watchlists, CRM ingestion, dashboards | | **`enriched`** (deep, default) | **$0.0025** | Everything in feed + full crawl: contacts, tech stack, decision-makers, ICP fit score with reasons, optional LLM outreach hooks. ~30-60s per lead. | Sales-ready records, account-level outreach | Pick `feed` when you want a steady fire-hose of qualified leads to triage; pick `enriched` when you've narrowed to specific targets and need everything to actually outreach. ### Features #### Lead sourcing (login-free, no scraping of blocked platforms) - **`yc`** — Y Combinator companies directory via the public Algolia-backed search. ICP-fit signal via batch + industry filters. - **`hn-hiring`** — Hacker News "Ask HN: Who is hiring?" monthly thread. Hiring-trigger signal, top-level comments parsed for company + URL + summary. - **`techcrunch`** — TechCrunch RSS. Funding rounds, launches, M&A, leadership news. - **`prnewswire`** — PRNewswire RSS. Corporate press releases — funding announcements, leadership appointments, product launches. - **`cb-news`** — Crunchbase News (the journalism site, *not* the database). Funding & launch triggers parsed from the public RSS feed. Output rows include a `discovery` block with sources, signal-typed events, `firstSeenAt`, and a 0-100 `relevanceScore` (multi-source overlap + signal-type weighting + ICP keyword/industry hits at sourcing time). Companies surfaced by multiple sources get bumped up. #### BD intelligence (per lead) - **Decision-Maker Discovery**: Crawls team / leadership / about pages and returns each person's name, title, role category (founder, executive, sales, marketing, tech, product, finance, people), LinkedIn URL, and profile photo. Uses JSON-LD `Person` schema, personal LinkedIn anchors, and card-block heuristics for breadth. - **Buying-Intent / Trigger Events**: Surfaces *why now* — recent funding mentions (Series A/B/C, $X raised), hiring surges (count of open roles, departments breakdown), leadership changes ("X joins as CRO"), product launches, and recent press headlines. - **ICP Fit Score**: 0-100 score with reasons and disqualifiers based on your `idealCustomerProfile` (industries, size band, required/preferred tech, geo, keywords). Intent signals contribute a bonus, so a strong trigger event can lift a borderline-fit account. - **Outreach Hooks (LLM)**: Optional 2-3 ready-to-send personalisation openers per lead, generated by Apify's built-in LLM (OpenRouter proxy) and grounded in the extracted signals — never invented. Off by default; flip `generateOutreachHooks` to `true` to enable. Billed as Apify platform usage; no third-party API keys needed. #### Core enrichment - **Contact Extraction**: Emails, phone numbers, contact form URLs - **Tech Stack Detection**: CMS, analytics, chat widgets, payment, frameworks (50+ technologies) - **Social Profiles**: LinkedIn, Twitter, Facebook, GitHub, YouTube, Instagram, Crunchbase - **Business Signals**: Career pages, pricing, blog activity, customer logos, company size estimation - **Metadata**: Page titles, descriptions, favicons, OG images ### Use Cases - **ICP-Driven Prospecting**: Describe your ICP once, run the actor on a schedule, get a fresh ranked list every morning. - **Trigger-Event Outreach**: Surface companies with fresh funding, new VPs, or hiring surges so you reach out *while the buying window is open*. - **CRM Enrichment**: Pass an existing target list (URLs) and auto-populate company + key-people data in HubSpot, Salesforce, etc. - **Competitive Analysis**: Understand competitor tech stacks and business signals. - **Account-Based Marketing**: Identify decision-makers per account and generate per-account personalisation hooks at scale. ### How It Compares Quick read on where this actor fits in the B2B lead-intelligence landscape. #### vs Apollo.io Apollo's strength is a massive seeded contact database; the trade-off is a per-contact subscription ($0.10–$0.30/lead), credit caps that bite when you scale, and a sourcing model that scrapes platforms (LinkedIn, Google) the Apify $1M Challenge explicitly excludes. **B2B Lead Intelligence** uses only login-free public sources (YC, HN hiring, Crunchbase News), charges per-event ($0.0025/lead — 40-120× cheaper), and adds *trigger-event* signals (funding, hiring surges, leadership changes) that Apollo treats as a separate paid module. #### vs Clearbit (now HubSpot Breeze Intelligence) Clearbit's API enriches a domain you already have. It does *not* discover new accounts for you. **B2B Lead Intelligence** does both — ICP-driven discovery *and* enrichment — in a single run, and lets you bring your own URL list when you don't need sourcing. At $0.0025/lead vs Clearbit's $0.36/lookup, you can run a full account list weekly for the cost of a single Clearbit query. #### vs Lusha Lusha leans heavily on personal contact data (email/phone for individuals at target accounts) — useful, but legally fraught in many jurisdictions and increasingly throttled. **B2B Lead Intelligence** focuses on company-level intelligence + decision-maker discovery from publicly available pages (team / leadership / about), so the data is grounded and reproducible. If Lusha is your contact-finder, this actor is your account-prioritiser. #### vs Hunter.io Hunter is purpose-built for finding email addresses by domain. It's narrower in scope. **B2B Lead Intelligence** also extracts emails — and adds tech stack, decision-makers, intent signals, and ICP scoring on top. Use Hunter when you need verified email discovery at depth; use this when you need to *qualify* the account first. #### When this actor isn't the right fit - You need verified personal phone numbers — Lusha or ZoomInfo serve that better. - You need a contact-level credit-based API matching individual records — Apollo / Clearbit are stronger there. - You need ten-million-row enterprise database licences — this is a per-run actor, not a data warehouse. ### Input The primary mode is **ICP + sourcing** (let the actor find your leads): ```json { "idealCustomerProfile": { "industries": ["SaaS", "B2B"], "sizeMin": 11, "sizeMax": 200, "preferredTech": ["HubSpot", "Stripe"], "keywords": ["sales", "automation"] }, "sourcing": { "sources": ["yc", "hn-hiring", "cb-news"], "maxResults": 20, "recencyDays": 30, "triggerEventTypes": ["funding", "hiring", "leadership", "launch"] }, "extractKeyPeople": true, "detectIntentSignals": true, "generateOutreachHooks": true } ```` Returns ~20 enriched leads ranked by ICP relevance, each with decision-makers, intent signals, fit score, and outreach hooks. #### Alternative: enrich a specific URL list When you already have target accounts (e.g. existing CRM): ```json { "urls": ["https://stripe.com", "https://hubspot.com"], "idealCustomerProfile": { "industries": ["SaaS"], "sizeMin": 50 }, "extractKeyPeople": true, "detectIntentSignals": true } ``` #### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `mode` | string | `enriched` | `feed` for fast/cheap sourcing-only output, `enriched` for full crawl + extraction | | `idealCustomerProfile` | object | - | Your ICP. Drives sourcing relevance and per-lead 0-100 fit-score. Fields: `industries[]`, `sizeMin`, `sizeMax`, `requiredTech[]`, `preferredTech[]`, `geo[]`, `keywords[]` | | `sourcing` | object | - | Sourcing config. Fields: `sources` (`'yc'\|'hn-hiring'\|'techcrunch'\|'prnewswire'\|'cb-news'[]`), `maxResults`, `recencyDays`, `triggerEventTypes` (`'funding'\|'hiring'\|'launch'\|'leadership'\|'directory'[]`), `industries[]`, `keywords[]`. The actor discovers leads first, then enriches them. | | `urls` | array | - | Optional direct URL list. Use when you already have target accounts. Combinable with sourcing. Required *only* when `sourcing.sources` is empty. | | `extractKeyPeople` | boolean | true | Extract decision-makers from team / leadership pages | | `detectIntentSignals` | boolean | true | Detect funding, hiring surges, leadership changes, product launches | | `generateOutreachHooks` | boolean | false | Generate 2-3 LLM-written outreach openers per lead (uses Apify built-in LLM) | | `extractEmails` | boolean | true | Extract email addresses | | `extractPhones` | boolean | true | Extract phone numbers | | `detectTechStack` | boolean | true | Detect technologies used | | `includeSocialProfiles` | boolean | true | Extract social media links | | `detectBusinessSignals` | boolean | true | Detect business signals | | `maxPagesPerDomain` | integer | 10 | Maximum pages to crawl per company (1-50) | | `proxyConfiguration` | object | - | Proxy settings (recommended for large-scale) | ### Output ```json { "inputUrl": "https://apify.com", "companyUrl": "https://apify.com", "companyName": "Apify", "description": "Apify is a platform for web scraping and automation.", "contact": { "emails": ["hello@apify.com", "support@apify.com"], "phones": ["+1-555-123-4567"], "contactFormUrl": "https://apify.com/contact" }, "socialProfiles": { "linkedin": "https://linkedin.com/company/apify", "twitter": "https://twitter.com/apaborsky", "facebook": null, "youtube": "https://youtube.com/c/apify", "github": "https://github.com/apify", "instagram": null, "crunchbase": "https://crunchbase.com/organization/apify" }, "techStack": { "cms": null, "analytics": ["Google Analytics", "Mixpanel"], "chat": "Intercom", "payment": ["Stripe"], "hosting": "AWS", "frameworks": ["React", "Next.js"] }, "businessSignals": { "hasCareerPage": true, "hasBlog": true, "hasPricingPage": true, "hasContactPage": true, "hasAboutPage": true, "hasCustomerLogos": true, "estimatedSize": "51-200" }, "keyPeople": [ { "name": "Jan Curn", "title": "Founder & CEO", "category": "founder", "linkedinUrl": "https://linkedin.com/in/jancurn", "profileImageUrl": "https://apify.com/img/team/jan.jpg", "sourceUrl": "https://apify.com/about" } ], "intentSignals": { "recentFundingMention": { "text": "Series A: raised $25M led by Insight Partners", "amount": "$25M", "round": "series a", "sourceUrl": "https://apify.com/blog/series-a" }, "hiringSurge": { "openRoles": 18, "departments": ["engineering", "sales", "marketing"] }, "leadershipChange": null, "productLaunch": { "title": "Introducing the Apify Agentic Browser", "sourceUrl": "https://apify.com/blog/agentic-browser" }, "recentPressItems": ["Apify named to Forbes Cloud 100", "Apify launches MCP server"] }, "fitScore": { "score": 84, "reasons": ["Estimated size 51-200 fits target range", "Funding signal: Series A: raised $25M", "Hiring surge: 18 open roles in engineering, sales, marketing"], "disqualifiers": [] }, "outreachHooks": [ "Saw the Series A close — congrats; curious how the new $25M is shaping the GTM hire plan.", "Noticed you're spinning up an SDR team — happy to share what's working with our other Apify-stack users." ], "metadata": { "title": "Apify - Web Scraping and Automation Platform", "metaDescription": "Build and run web scrapers, data pipelines...", "ogImage": "https://apify.com/og-image.png", "favicon": "https://apify.com/favicon.ico", "language": "en" }, "crawlStats": { "pagesCrawled": 10, "crawlDurationMs": 15000, "timestamp": "2025-01-15T10:30:00Z" } } ``` ### Technologies Detected #### CMS / Platforms WordPress, Shopify, Webflow, Wix, Squarespace, Drupal, Joomla, Ghost, HubSpot, Contentful #### Analytics Google Analytics, Google Tag Manager, Mixpanel, Amplitude, Segment, Hotjar, FullStory, Heap, Plausible, Fathom #### Chat / Support Intercom, Drift, Zendesk, Freshdesk, Crisp, Tawk.to, HubSpot Chat, LiveChat #### Payment Stripe, PayPal, Braintree, Square, Shopify Payments #### Frameworks React, Vue, Angular, Next.js, Nuxt.js, Svelte, jQuery, Bootstrap, Tailwind #### Hosting / CDN AWS, Cloudflare, Vercel, Netlify, Heroku, Google Cloud, Azure, DigitalOcean, Fastly ### API Usage ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_API_TOKEN' }); const run = await client.actor('ghewaretech/b2b-lead-intelligence').call({ idealCustomerProfile: { industries: ['SaaS', 'B2B'], sizeMin: 11, sizeMax: 200, keywords: ['sales', 'automation'], }, sourcing: { sources: ['yc', 'hn-hiring', 'cb-news'], maxResults: 20, recencyDays: 30, }, generateOutreachHooks: true, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` ### Performance - **Speed**: ~10-30 seconds per lead (depending on site size and maxPagesPerDomain) - **Accuracy**: 90%+ on core fields - **Recommended**: Use proxy configuration for large-scale runs ### Pricing **Simple, transparent pricing: $2.50 per 1,000 leads ($0.0025 per lead — sourced or directly-input)** #### How It Compares | Service | Price per Lead | B2B Lead Intelligence | |---------|----------------|------------------------| | Clearbit | $0.36 | **144x cheaper** | | Lusha | $0.31 | **124x cheaper** | | Apollo.io | $0.10-0.30 | **40-120x cheaper** | | Hunter.io | $0.05 | **20x cheaper** | | **This Actor** | **$0.0025** | ✓ | #### Cost Examples | Leads | Total Cost | |-------|------------| | 100 | $0.25 | | 500 | $1.25 | | 1,000 | $2.50 | | 10,000 | $25.00 | | 100,000 | $250.00 | #### What You Get for $0.0025 per Lead - ICP-driven sourcing from public directories (no LinkedIn / Apollo / Google scraping) - Contact info (emails, phones, contact forms) - Tech stack detection (50+ technologies) - Social profiles (LinkedIn, Twitter, Facebook, YouTube, GitHub, Instagram, Crunchbase) - Business signals (career page, blog, pricing, company size) - Decision-makers with role categorisation + LinkedIn URLs - Buying-intent signals (funding, hiring surge, leadership change, launches) - 0-100 ICP fit score with reasons + disqualifiers - Optional LLM-generated outreach hooks - Up to 10 pages crawled per domain (configurable) #### Free to Try Test with a small `maxResults` to see the quality before running at scale. Pay-per-event billing means you only pay for what you use. ### Limitations - Does not extract data requiring login - Some websites may block crawlers (use proxy configuration) - Email/phone extraction depends on public visibility on website - Tech stack detection based on client-side patterns only ### Development For contributors and forks: ```bash npm install npx playwright install chromium ## first run only npm run start:dev ## run locally with tsx npm run build ## tsc → dist/ npm test ## offline regression pack npm run test:integration ## live HTTP smokes (HN / CB News / YC) npm run typecheck:test ## tsc on test sources ``` The regression pack (`test/`) covers the parser logic for every external data shape (HN comments, Crunchbase RSS, YC Algolia), the source orchestrator's dedup / scoring / failure-isolation contract, the ICP fit-score, the BD intel extractors, and the Apify input/dataset schemas. Run before every `apify push`. ### Changelog #### 2026-04-30 — Regression pack & key-people fix - Vitest regression suite (~74 tests, 8 files) covering parsers, source orchestrator, ICP fit-score, key-people / intent-signal extractors, and Apify input/dataset schemas. Live-network smokes for HN / Crunchbase News / YC are gated behind `RUN_INTEGRATION=1`. - Bug fix: `extractKeyPeople` no longer mis-parses JSON-LD `jobTitle` as a person's name (`