✨Leads Finder - $1.5/1k leads with Emails [Apollo Alternative]
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build 0.0.56updated Aug 3

✨Leads Finder - $1.5/1k leads with Emails [Apollo Alternative] documentation

The reference below is mirrored from the source Actor, so behaviour matches one-to-one. Everything is callable from the playground, the REST API or the MCP server.

Open playground MCP setup

Quickstart

bash
# 1 — create an API key in your workspace
export AM_KEY="amk_..."

# 2 — start a run
curl -X POST https://www.datarouter.dev/s/leads-finder-pogefe/api/v1/runs \
  -H "Authorization: Bearer $AM_KEY" \
  -H "Content-Type: application/json" \
  -d '{"input": {"fetch_count":100000,"file_name":"Prospects","email_status":["validated"]}, "wait": true}'

# 3 — read the results
curl https://www.datarouter.dev/s/leads-finder-pogefe/api/v1/runs/RUN_ID/items -H "Authorization: Bearer $AM_KEY"

✨Leads Finder — Effortless Data Extraction

A cost-effective alternative to ZoomInfo, Lusha & Apollo. Get verified B2B emails, LinkedIn profiles, and rich firmographics at scale.

🚀 What this actor does

Leads Finder generates targeted B2B contact lists using advanced filters (job title, Location/City, industry, tech stack, revenue, funding, etc.) and returns verified emails, mobile numbers (paying plans only), LinkedIn URLs, and detailed company data — ready for CRM or outreach. Free plan note: Users on the free Apify plan can fetch up to 100 leads/run.

Support: codecrafter70@gmail.com

🧭 Quick start (UI)

  1. Open the actor, set 📁 File name / Run label (optional).
  2. Choose your filters (e.g., 👔 Job Title = "Marketing Manager", 🌍 Location = "United States", 🏭 Industry = "SaaS").
  3. Set #️⃣ Number of leads to fetch (default 50,000; leave empty to fetch all that match).
  4. Click Run. When finished, download results from the Dataset tab or use the Overview table.

Location vs City: Use Location for a region/country/state. To target a single city, leave Location empty and use City only. (Same logic for the Exclude fields.)

🧩 Input schema (fields you can use)

Fields accept arrays unless noted.

General

  • fetch_count (integer, default 100000) — Max leads to fetch. Leave empty to fetch all matches.
  • file_name (string) — Custom run label / export name.

People targeting

  • contact_job_title / contact_not_job_title — Include/Exclude titles ("realtor", "software developer", "teacher", …).
  • seniority_level — Founder, Owner, C-Level, Director, VP, Head, Manager, Senior, Entry, Trainee.
  • functional_level — C-Level, Finance, Product, Engineering, Design, HR, IT, Legal, Marketing, Operations, Sales, Support.

Location (Include)

  • contact_location — Region/Country/State (e.g., EMEA, United States, California, US).
  • contact_city — One or more cities (use this instead of Location when you want city-level targeting only).

Location (Exclude)

  • contact_not_location — Region/Country/State to exclude.
  • contact_not_city — One or more cities to exclude.

Email quality

  • email_status — validated, not_validated, unknown (prefill: validated)

Company targeting

  • company_domain — Limit to specific domains (e.g., google.com, https://apple.com).
  • size — 0–1, 2–10, 11–20, 21–50, 51–100, 101–200, 201–500, 501–1000, 1001–2000, 2001–5000, 10000+
  • company_industry / company_not_industry — Include/Exclude industries.
  • company_keywords / company_not_keywords — Include/Exclude free-text keywords.
  • min_revenue, max_revenue — Revenue bands (100K → 10B).
  • funding — Seed, Angel, Series A…F, Venture, Debt, Convertible, PE, Other.

📤 Output schema (what you get)

Results are written to the run's Dataset and rendered in the Overview table with these columns:

Person

  • first_name, last_name, full_name, job_title, headline, functional_level, seniority_level
  • email (verified when available)
  • mobile_number (available for paying Apify plan users only)
  • personal_email
  • linkedin (profile link)
  • city, state, country

Company

  • company_name, company_domain, company_website (link), company_linkedin (link), company_linkedin_uid
  • company_size, industry, company_description
  • company_annual_revenue, company_annual_revenue_clean
  • company_total_funding, company_total_funding_clean
  • company_founded_year, company_phone
  • company_street_address, company_city, company_state, company_country, company_postal_code, company_full_address
  • company_market_cap (if public)

Context

  • keywords, company_technologies

🔎 Examples

Example 1 — US SaaS marketing leaders

  • contact_job_title: ["Head of Marketing","VP Marketing","CMO"]
  • functional_level: ["marketing"]
  • contact_location: ["united states"]
  • company_industry: ["computer software","internet","information technology & services","marketing & advertising","saas"]
  • email_status: ["validated"]
  • fetch_count: 5000

Example 2 — UK CTOs

  • contact_job_title: ["CTO","Head of Engineering","VP Engineering"]
  • contact_location: ["united kingdom"]
  • email_status: ["validated","unknown"]

Example 3 — Amsterdam city-only (no broader Location)

  • contact_city: ["amsterdam"]
  • contact_location: (leave empty)

✅ Best practices

  • Location vs City: Choose one. Use Location for region/country/state or leave it empty and use City for city-only targeting. Same rule for Exclude.
  • Start broad, then narrow. Begin with Location + title, then add industry/revenue/funding.
  • Use include & exclude. Quickly remove irrelevant sectors with company_not_industry / company_not_keywords.
  • Prefer validated emails. Keep email_status = ["validated"] for outreach-ready lists; add unknown to increase volume.
  • Deduplicate downstream. If you merge runs, dedupe by email → linkedin → (full_name,company_domain).
  • Stay compliant. Use for B2B prospecting; follow GDPR/CCPA/PECR and local rules.

🧪 Output view (in the Apify UI)

The Overview tab shows a sortable table with links for company_website, linkedin, and company_linkedin. Export any time to CSV/JSON/XLSX from the Dataset.

🧰 API usage

Run via API with the same input JSON as the UI.

  1. POST a run with your input JSON.
  2. Poll for completion.
  3. Fetch dataset items (JSON/CSV).

(See Apify docs for runs, datasets endpoints.)

💵 Pricing & limits

  • From $1.5 / 1,000 leads (cheaper than typical ZoomInfo/Lusha/Apollo seat pricing).
  • On the free Apify plan, the platform caps at 100 leads/run.
  • Mobile numbers are only enriched and included for users on paying Apify plans.

🧯 Troubleshooting

  • Few or zero results? Loosen filters (remove company_not_*, broaden Location, allow unknown email status). Try title synonyms ("Demand Gen" vs "Growth Marketing").
  • Too many results? Add industry, revenue, funding, or switch from region to country/state/city.
  • Geography mismatches? Don't mix broad regions with countries/states/cities; use either Location or City for the same target.

✨ Changelog (high level)

  • v1.1 — Simplified location filters: replaced Region/Country/State trio with Location (Region/Country/State) + City; mirrored for Exclude.
  • v1.0 — Initial release with People/Company/Tech/Revenue/Funding filters, validated email preference, and LinkedIn enrichment.