Leads Finder — Scrape High Quality Leads for Marketing & Sales

✅ Cheap alternative to Apollo, ZoomInfo & Lusha. ✅ Get business emails, LinkedIn profiles, company details etc..
✅ No Login Required ✅ No Installation Required ✅ Unlimited Emails

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Leads Finder

Scrape high quality leads for your marketing and sales needs. Scraper pulls up to 50k leads per run. Similar to Apollo.

Granular Filters & Search Filters

Apply targeted search filters to discover and extract exact lead matches by job title, decision-maker status, company domain, location, industry, email status, or custom keywords.

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✨ Features

• 🔎 Granular Search Filters: Apply filters to get leads that match your needs:
  • Job title inclusion (contact_job_titles) and exclusion (contact_job_not_titles)
  • Location targeting (contact_location, company_locations) & location exclusion (contact_not_location, company_not_locations)
  • Company domain filtering (company_domains) & employee count ranges (company_num_employees_range)
  • Industry inclusion (company_industry) & exclusion (company_not_industry)
  • Keyword inclusion (keywords) & exclusion (not_keywords)
  • Email verification status (email_status) & catch-all domain exclusion (contact_email_exclude_catch_all_domains)
• 📊 Rich Lead Data: Get comprehensive information including:
  • Professional details (name, title, LinkedIn profile)
  • Contact information (work email, work phone number)
  • Company information (name, primary domain, website, founded year, phone)
  • Social media profiles (LinkedIn, Twitter, Facebook)
• 🔒 Data Privacy: Secure handling of sensitive information.

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🎯 Use Cases

• Sales Prospecting: Find qualified leads with verified contact information.
• Market Research: Gather insights about companies and their employees.
• Lead Generation: Build targeted contact lists for your business.
• Competitor Analysis: Monitor industry professionals and their movements.

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📊 Output Format

The actor returns detailed lead information in JSON, Excel, CSV, or HTML table formats, including:

• Personal information (name, title, location)
• Contact details (email, phone)
• Professional profiles (LinkedIn, Twitter, GitHub)
• Company information

Example Output Dataset

{
  "first_name": "Satya",
  "last_name": "Nadella",
  "email": "<redacted>",
  "linkedin_url": "http://www.linkedin.com/in/satyanadella",
  "headline": "Chairman and CEO at Microsoft",
  "title": "Chairman and CEO",
  "image": "https://media.licdn.com/dms/image/v2/C5603AQHHUuOSlRVA1w/profile-displayphoto-shrink_200_200/profile-displayphoto-shrink_200_200/0/1579726625398?e=2147483647&v=beta&t=Rr7WT9uBM0byOij0oT_KirejIMVE4HK4r8NGIp0zjdI",
  "street_address": "",
  "city": "Redmond",
  "state": "Washington",
  "country": "United States",
  "postal_code": null,
  "sanitized_address": "Redmond, WA, USA",
  "time_zone": "America/Los_Angeles",
  "domain_is_catchall": false,
  "organization_name": "Microsoft",
  "organization_primary_domain": "microsoft.com",
  "organization_website_url": "http://www.microsoft.com",
  "organization_linkedin_url": "http://www.linkedin.com/company/microsoft",
  "organization_twitter_url": "https://twitter.com/microsoft",
  "organization_facebook_url": "https://facebook.com/Microsoft",
  "organization_crunchbase_url": null,
  "organization_primary_phone": "+1 800-642-7676",
  "organization_formatted_phone": "+18006427676",
  "organization_founded_year": 1975
}

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🚀 Getting Started

1. Run the Actor: Execute the scraper with your configuration.
2. Download Results: Get your leads in JSON, Excel, CSV or HTML table formats.
3. Integrate: Use the data in your CRM or sales automation tools.

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🔒 Privacy & Compliance

Data is processed securely and confidentially.

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📈 Performance

• Reliability: Built-in error handling and retry mechanisms.
• Scalability: Handle large datasets efficiently. Pull up to 50,000 leads per run.

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🕒 Timeout

It can take up to 20 minutes to pull 1000 leads. Please configure your run limit accordingly.

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⬇️ Input Parameters

All parameters are optional and fully configurable:

Parameter	Type	Description	Default / Example
max_result	integer	Maximum number of results. Can pull up to 50k leads per run	100
contact_job_titles	array	Include any of these job titles. E.g., ["marketing", "sales", "manager"]	["ceo", "director"]
contact_job_not_titles	array	Exclude these job titles. E.g., ["intern", "student"]	["intern"]
email_status	array	Email status of prospect	["verified"]
contact_email_exclude_catch_all_domains	boolean	Exclude catch-all domains	false
company_num_employees_range	array	Number of employees range e.g. ["1-10", "201-500"]	["1-10"]
company_locations	array	Location of company's headquarters e.g. ["new york", "Germany"]	["New York"]
company_not_locations	array	Exclude company locations	["Dallas"]
company_domains	array	Include any of these domains e.g. ["google.com", "tesla.com"]	["microsoft.com"]
company_industry	array	Include any of these industries	["Software"]
company_not_industry	array	Exclude these industries	[]
keywords	array	Include keywords e.g. ["manufacturing", "roofing"]	["SaaS"]
not_keywords	array	Exclude keywords	[]
contact_location	array	Prospects locations e.g. ["italy", "germany", "madrid"]	["United States"]
contact_not_location	array	Exclude prospect locations	[]

Example Input JSON

{
  "max_result": 100,
  "email_status": [
    "verified"
  ],
  "contact_email_exclude_catch_all_domains": false
}

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💡 Code Integration

Python Client

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_API_TOKEN>")

run_input = {
    "max_result": 100,
    "email_status": ["verified"],
    "contact_email_exclude_catch_all_domains": False,
}

run = client.actor("scraper-engine/leads-finder").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("first_name"), item.get("last_name"), item.get("email"))

Node.js Client

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_API_TOKEN>' });

const run = await client.actor('scraper-engine/leads-finder').call({
    max_result: 100,
    email_status: ['verified'],
    contact_email_exclude_catch_all_domains: false,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);