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Apify B2b Lead Enricher

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Apify B2b Lead Enricher

Apify B2b Lead Enricher

Extract localized B2B leads, websites, contact emails, phone numbers, and social profiles (LinkedIn, Instagram, Facebook, X) with zero API keys required.

Pricing

Pay per usage

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0.0

(0)

Developer

CreaturesOfSonaria717

CreaturesOfSonaria717

Maintained by Community

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0

Bookmarked

2

Total users

1

Monthly active users

5 hours ago

Last modified

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⚡ Pro B2B Lead Extractor & Contact Enricher

Apify Actor Maintenance Pricing

Extract high-intent B2B leads, verified corporate emails, direct phone numbers, WhatsApp click-to-chat links, and full social profiles (LinkedIn, Instagram, X/Twitter, Facebook) for any business niche in any city worldwide — with 0 API keys required.


🚀 Why is this 1000x Better than Traditional Scrapers?

FeatureOrdinary Scrapers⚡ B2B Lead Enricher
API Keys RequiredYes (Google Places / SerpApi)Zero (100% Autonomous)
Deep Contact CrawlingOnly HomepageHomepage + /contact + /about + /team
WhatsApp Direct Link❌ No✅ Automatic (wa.me/+...)
Corporate Domain Prioritization❌ Mixed junk✅ Direct name@company.com prioritized
Lead Quality Score❌ No✅ 0 - 100% Quality Rating per Lead
Export FormatsRaw JSONCSV (Excel), JSON, XML, API Webhook

🎯 Target Use Cases

  • 💼 Agencies & SDRs: Fuel cold outreach campaigns (Instantly, Lemlist, Smartlead).
  • 🏢 B2B Sales Teams: Prospect high-value local business owners and decision-makers.
  • 📈 Growth Hackers: Build custom CRM databases without paying $1,000/mo for ZoomInfo or Apollo.
  • 🤖 AI Agents: Integrate live real-time business discovery into LangChain, AutoGPT, or CrewAI.

📥 Input Example

{
"queries": [
"commercial architects Miami FL",
"boutique hotels Lisbon",
"agencias de marketing digital São Paulo"
],
"maxResultsPerQuery": 10,
"enrichContacts": true,
"requestTimeout": 10
}

📤 Sample Enriched Lead Output

{
"searchQuery": "commercial architects Miami FL",
"businessName": "Arquitectonica International",
"website": "https://arquitectonica.com",
"domain": "arquitectonica.com",
"description": "Award-winning full-service architecture and interior design firm headquartered in Miami.",
"metaDescription": "Explore contemporary architecture and urban planning projects designed by Arquitectonica.",
"primaryEmail": "info@arquitectonica.com",
"emails": [
"info@arquitectonica.com",
"press@arquitectonica.com",
"careers@arquitectonica.com"
],
"phones": [
"+1 305-372-1812"
],
"whatsapp": "+13053721812",
"socials": {
"linkedin": "https://www.linkedin.com/company/arquitectonica",
"instagram": "https://www.instagram.com/arquitectonicaintl",
"facebook": "https://www.facebook.com/arquitectonica",
"twitter": "https://twitter.com/arquitectonica",
"youtube": null
},
"leadQualityScore": 100,
"scrapingStatus": "success"
}

💻 API Integration Snippets

Python (using Apify Client)

from apify_client import ApifyClient
client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("lunark656/apify-b2b-lead-enricher").call(run_input={
"queries": ["dental clinics Austin TX"],
"maxResultsPerQuery": 10,
"enrichContacts": True
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(f"{item['businessName']} -> {item['primaryEmail']} | Phone: {item['phones']}")

Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('lunark656/apify-b2b-lead-enricher').call({
queries: ['software companies London'],
maxResultsPerQuery: 10,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);