Techionik Local Lead Intel MCP
Pricing
$3.00 / 1,000 enriched leads
Prompt-first MCP-ready Apify tool for AI sales agents to enrich local business leads with public contacts, social links, confidence scores, and outreach angles.
You can access the Techionik Local Lead Intel MCP programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1import { ApifyClient } from 'apify-client';2
3// Initialize the ApifyClient with your Apify API token4// Replace the '<YOUR_API_TOKEN>' with your token5const client = new ApifyClient({6 token: '<YOUR_API_TOKEN>',7});8
9// Prepare Actor input10const input = {11 "prompt": "Find contacts for local roofing companies from https://example.com. Return emails, phones, social links, confidence score, contact pages, and a short outreach note for a local SEO agency.",12 "leads": [13 {14 "businessName": "Austin Dental Studio",15 "websiteUrl": "https://example.com",16 "city": "Austin",17 "category": "Dentist"18 }19 ],20 "sourceUrls": [21 "https://example.com"22 ]23};24
25// Run the Actor and wait for it to finish26const run = await client.actor("techionik9993/techionik-local-lead-intel-mcp").call(input);27
28// Fetch and print Actor results from the run's dataset (if any)29console.log('Results from dataset');30console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);31const { items } = await client.dataset(run.defaultDatasetId).listItems();32items.forEach((item) => {33 console.dir(item);34});35
36// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docsThe Apify API client for JavaScript is the official library that allows you to use Techionik Local Lead Intel MCP API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.
Install the apify-client
$npm install apify-clientOther API clients include: