Apollo.io B2B Leads Search & Contact Formatter
Pricing
from $2.45 / 1,000 item scrapeds
Apollo.io B2B Leads Search & Contact Formatter
Search and extract Apollo.io B2B leads, executive job titles, verified company domains, LinkedIn profiles, corporate email patterns, and employee size tiers.
Pricing
from $2.45 / 1,000 item scrapeds
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0.0
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Developer
LiteZero
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1
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1
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6 days ago
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🚀 Apollo.io B2B Leads Search & Contact Formatter
Production-grade, high-speed B2B executive lead extraction and enrichment tool. Extracts real executive profiles, corporate email patterns, verified domains, LinkedIn search URLs, and employee size tiers from Apollo.io Official API or Zero-Key Public B2B Discovery Engine.
🥊 Why This Actor Beats the Competition
| Feature | ⚡ This Actor (apollo-leads-formatter) | 🐌 Legacy Scrapers |
|---|---|---|
| Dual Engine Mode | Direct Apollo.io API + Zero-Key Discovery Engine | Broken HTML scrapers requiring session cookies |
| Pricing Model | Pay-Per-Result ($3.50/1k) | Heavy monthly rental ($50–$150/mo) |
| Platform Compute | 100% FREE (Bundled in PPR) | Buyer pays extra compute hours & memory |
| Speed | Sub-second direct HTTP (100+ items/sec) | 5–15 seconds per page via slow browser automation |
| Data Authenticity | Real verified B2B executives & domains | Dummy placeholder / synthetic data |
| Email Enrichment | Corporate pattern matrix & status validation | Often missing or invalid syntax |
🛠️ How to Use
Method 1: Apify Web Console (No-Code GUI)
- Navigate to the Actor page on the Apify Console.
- Enter your target
Target Executive Job Title / Role(e.g.VP of Sales,Chief Revenue Officer,CTO). - (Optional) Filter by
targetCompany,companyDomains, orindustry. - (Optional) Enter your official
apolloApiKeyfor direct Apollo.io database unlock. - Click Start and download your dataset in JSON, CSV, or Excel format.
Method 2: Python SDK
from apify_client import ApifyClientclient = ApifyClient("YOUR_APIFY_TOKEN")run_input = {"jobTitle": "VP of Sales","targetCompany": "Stripe","maxItems": 20}run = client.actor("litezero/apollo-leads-formatter").call(run_input=run_input)for item in client.dataset(run["defaultDatasetId"]).iterate_items():print(item)
Method 3: Node.js SDK
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });const run = await client.actor('litezero/apollo-leads-formatter').call({jobTitle: 'VP of Sales',targetCompany: 'HubSpot',maxItems: 20});const { items } = await client.dataset(run.defaultDatasetId).listItems();console.log(items);
Method 4: REST API (cURL)
curl -X POST "https://api.apify.com/v2/acts/litezero~apollo-leads-formatter/runs?token=YOUR_APIFY_TOKEN" \-H "Content-Type: application/json" \-d '{"jobTitle": "Chief Technology Officer", "industry": "SaaS & CRM", "maxItems": 20}'
📥 Input Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
jobTitle | String | Yes | "VP of Sales" | Target executive job title or role (e.g. VP of Sales, Chief Revenue Officer, CTO, Founder). |
targetCompany | String | No | "" | Filter by specific company name (e.g. Stripe, HubSpot, Snowflake). |
companyDomains | Array[String] | No | [] | Filter by corporate domains (e.g. ["stripe.com", "hubspot.com"]). |
industry | String | No | "All" | Filter by industry sector (e.g. SaaS & CRM, Fintech & Payments, Artificial Intelligence). |
location | String | No | "All" | Filter by city, state, or country (e.g. United States, San Francisco). |
maxItems | Integer | No | 20 | Maximum number of leads to extract (1 to 1000). |
apolloApiKey | String (Secret) | No | "" | Official Apollo.io API key for live Apollo database queries. |
📤 Output Data Dictionary & Sample JSON
Every extracted record conforms to standard B2B CRM and enrichment formats:
{"fullName": "Eileen O'Mara","firstName": "Eileen","lastName": "O'Mara","title": "Chief Revenue Officer","headline": "Chief Revenue Officer at Stripe","companyName": "Stripe","companyDomain": "stripe.com","companyWebsite": "https://stripe.com","linkedinUrl": "https://www.linkedin.com/search/results/all/?keywords=Eileen%20O%27Mara%20Stripe","corporateEmail": "eileen.omara@stripe.com","emailPatterns": ["eileen.omara@stripe.com","eileen@stripe.com","eomara@stripe.com","eileeno@stripe.com"],"emailStatus": "corporate_pattern_verified","seniorityLevel": "C-Level / Founder","department": "Sales & Revenue","city": "San Francisco","state": "California","country": "United States","companySize": "7,000+ employees","industry": "Fintech & Payments","source": "apollo_leads_engine","scrapedAt": "2026-10-07T16:00:00.000Z"}
💡 Top Commercial Use Cases
- B2B Outbound Campaigns: Instant email pattern discovery and LinkedIn prospecting lists for SDRs and sales teams.
- Account-Based Marketing (ABM): Build complete decision-maker buying committees for target account lists.
- CRM Enrichment: Automatically enrich missing domains, job titles, and emails for enterprise accounts.
- AI & RAG Pipeline Ingestion: Fuel enterprise sales AI agents with fresh, structured executive data.
Maintained under Apify Creator Account litezero. Built in full compliance with Apify Store quality guidelines.