Realtor.com Real Estate Agent Scraper — Emails & Phone Leads

📊 Example output (real run)

Territory-targeted real estate agent leads from Realtor.com: names, direct emails, mobile & office phones, brokerage, specializations, and production stats. No $99/mo seat fee — pay per lead you actually pull.

Point this actor at a ZIP code or city and get back a clean list of real estate agents serving that market, complete with the contact details you need to reach them directly. Built for recruiters, mortgage/title/insurance reps, PropTech vendors, and anyone selling to agents.

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Why this beats seat-based tools (UpLead / Lusha / ZoomInfo)

	This actor	UpLead / Lusha / ZoomInfo
Pricing	Pay per lead pulled	$74–99+/mo per seat, credit-capped
Targeting	Exact ZIP / city / metro	Broad filters, generic B2B DB
Source	Live Realtor.com profiles	Aggregated DB, often stale
Production data	✅ price range, recently-sold counts	Rarely
Direct mobile	✅ when published	Partial

You only pay for the territory you work. No annual contract, no per-seat tax, no wasted credits on leads outside your farm area.

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What you get (real output fields)

• full_name, first_name, last_name, title
• email, phone, mobile, office_phone, office_email
• brokerage, office_website, office_address
• city, state, zip, served_areas
• specializations, agent_types, languages, first_year_active
• agent_rating, review_count
• for_sale_price_range, recently_sold (production signals)
• description (agent bio), profile_url, profile_pic

Example row (real output)

{
  "full_name": "Sarai Mata",
  "email": "sarai_mata08@yahoo.com",
  "mobile": "(512) 217-0720",
  "brokerage": "Dash Realty",
  "office_email": "ali@dashrealty.com",
  "office_website": "http://www.dashrealty.com",
  "city": "AUSTIN",
  "state": "TX",
  "zip": "78701",
  "first_year_active": "2012",
  "served_areas": "Buda | Austin | Kyle | San Marcos | Round Rock | Pflugerville | Wimberley",
  "for_sale_price_range": "{\"min\":11450,\"max\":650000,\"count\":15}",
  "recently_sold": "{\"last_sold_date\":\"2026-03-18\",\"count\":18}",
  "profile_url": "https://www.realtor.com/realestateagents/Sarai-Mata_AUSTIN_TX_1664200_640669412"
}

The recently_sold and for_sale_price_range fields let you prioritize active, producing agents instead of dormant licenses — a filter most agent lists can't give you.

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Use cases

• Brokerage recruiting — find and reach producing agents in a target metro.
• Mortgage / title / insurance — build a referral network of active local agents.
• PropTech & SaaS — sell tools to agents by ZIP, with production data to prioritize.
• Vendor services (photography, staging, transaction coordination) — reach agents in your service area.
• Market analysis — map agent density, brokerages, and activity by territory.

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How to use it

1. Enter one or more ZIP codes / cities.
2. Run the actor (or schedule it to refresh your farm area weekly).
3. Export as CSV, JSON, or Excel, or pull via the Apify dataset API.
4. Load into your CRM, Clay, or outreach sequencer.

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Notes on data quality

• Leads come from live Realtor.com agent profiles, not a stale cached DB.
• Emails are pulled as published on the profile; office contacts are included as a fallback.
• Empty fields are returned as null rather than fabricated.

Pair with our people-enrichment actor to verify deliverability on any email before you send.