Agent & Broker Contact Data

Real Estate Agent Database Built From Active Listings

Marketing campaigns in the real estate vertical live or die on list quality. Whether you're running outreach for a mortgage lender, home warranty company, title insurance firm, or real estate software vendor — you need accurate, current data on the agents you're trying to reach. Specrom extracts agent and brokerage contact data directly from active MLS listings, updated continuously as new listings are published.

Active Agents only — no stale records
Daily Updated with new listings
5+ Segmentation dimensions
// Agent record from active listing
{
  "advertiser_id": "agent_29841",
  "agent_name": "Sarah Kowalski",
  "brokerage": "Keller Williams NYC",
  "office_phone": "212-555-0184",
  "email": "s.kowalski@kwnyc.com",
  "active_listings": 7,
  "markets": ["Brooklyn", "Queens"],
  "price_range": {
    "min": 650000,
    "max": 4200000
  },
  "property_types": [
    "single_family", "condo"
  ],
  "latest_listing_date": "2026-03-01"
}

Built for marketing teams that need lists that actually convert

Active Agents Only
Daily Listing Updates
US-Wide Coverage
Rich Segmentation Data
Phone & Email Included

Contact Fields, Listing Context, and Segmentation Data in One Record

Every active listing on major platforms includes information about the listing agent and their brokerage. We extract and normalize that data alongside the property record, so every agent contact comes with full listing context — their market, price segment, and activity level.

  • Contact fields: Agent name, brokerage name, office name and address, phone numbers (office and direct), email addresses, agent photo URL
  • Professional identifiers: License type and identifiers, advertiser ID (for deduplication across listings)
  • Active listing count: How many properties the agent currently has listed
  • Price ranges: The price bands the agent actively lists in — not self-reported, derived from their actual active listings
  • Geographic markets: Active markets by state, metro, ZIP code — derived from their current listing locations
  • Property types: What property types the agent specializes in, based on their current listing portfolio
  • Listing freshness: Date of their most recent listing — filter for agents who listed in the last 7 or 30 days
// Agent segmentation fields
{
  "active_listings": 7,
  "price_range": {
    "min": 650000,
    "max": 4200000
  },
  "markets": [
    "Brooklyn, NY",
    "Queens, NY"
  ],
  "property_types": [
    "single_family",
    "condo"
  ],
  "latest_listing_date": "2026-03-01",
  // Derived from actual listing portfolio
  // — not self-reported by the agent
  "avg_list_price": 1840000
}

Who Uses This Data and How

The same agent contact dataset supports very different outreach campaigns depending on your product and the segment you're targeting.

🏦

Mortgage Lender Marketing

Target purchase-active agents in specific markets with co-marketing offers, rate sheets, or referral programs. Filter by loan size range based on the price bands the agent currently lists in.

Ideal for: Mortgage lenders, wholesale lenders, broker networks
🏠

Home Service Companies

Reach agents who are actively listing properties in your service area. A home inspection, warranty, or staging company wants agents with active listings now — not agents who sold 18 months ago.

Ideal for: Home warranty, inspection, staging, photography
💻

Real Estate Software Vendors

Target high-volume agents (multiple active listings) in specific geographies. These agents are the buyers for CRM tools, showing software, marketing platforms, and transaction management systems.

Ideal for: PropTech SaaS, CRM vendors, marketing platforms

Title and Escrow Companies

Build outreach lists by market area and brokerage affiliation. Track which brokerages are most active in specific markets and target at the brokerage level for business development.

Ideal for: Title companies, escrow firms, real estate attorneys
📈

Real Estate Investment Platforms

Reach agents who specialize in investor-friendly markets or property types. Agents listing distressed properties, multi-family units, or properties with long days on market are often worth targeting for investor platform partnerships.

Ideal for: Investment platforms, wholesaler networks

Agent Databases Go Stale. Ours Updates Daily.

Agent databases built from license registries or old CRM exports go stale fast. Agents move brokerages. Phone numbers change. Some agents are active; many others have a license but haven't actively listed or sold in years.

Listing-sourced data cuts through that. If an agent has an active listing on a major platform right now, they're an active agent. You know their market (from the listing ZIP code), their price segment (from the list price), and their brokerage (from the advertiser record). That context makes segmentation and campaign personalization significantly more effective than working from a flat contact list.

  • Active by definition — If an agent has an active listing right now, they're an active agent. No stale license registry data, no agents who haven't sold in years.
  • Market context included — You know their current market (from the listing ZIP), price segment (from the list price), and brokerage (from the advertiser record). Segmentation without guesswork.
  • Updates with new listings — New listings add new agents. Agents whose listings all close or expire naturally age out of the active pool. The list is self-cleaning.
  • No quarterly refresh lag — Most static agent databases update quarterly or annually. Ours reflects who's working this week.
  • We provide data, not campaigns — You bring it into your own CRM, marketing automation platform, or outreach tool. Export to CSV or pull via API.
// Query: agents active in Brooklyn
// listed in last 30 days, price $500K+

GET /agents
  ?market=Brooklyn, NY
  &listed_within_days=30
  &min_list_price=500000

// Returns agent records with:
// contact fields, brokerage, active
// listing count, price range, markets
{
  "total_agents": 184,
  "agents": [...]
}

Frequently Asked Questions

The agent data updates continuously alongside the listing feed, which refreshes daily. New listings add new agents. Agents whose listings all close, expire, or get taken off market age out of the active pool naturally. This is fundamentally different from static databases that update quarterly or annually.

Yes. Because the agent data is attached to actual listing records, you can filter for agents whose active listings fall within a specific price range. This is derived from real listing prices — not self-reported by the agent — which makes it reliable for targeting campaigns by loan size, commission level, or service tier.

Agent name, brokerage name, office name and address, office phone number, direct phone where available in the listing data, email address where included, agent photo URL, license type and identifiers, and advertiser ID for deduplication. Field completeness varies by MLS region and listing source, but contact information is typically more complete for active, high-volume agents.

Yes. You can query agents by state, metro area, ZIP code, or bounding box. If you need a sample specific to your target markets before evaluating the data, request a custom market sample through the form below and we'll pull records specifically from your target geographies.

Sourced lists from data brokers are typically built from license registry exports and updated infrequently. They include agents who have a license but are not actively selling, and they don't carry listing context like current price range, active market, or property type. Specrom's agent data is sourced from active listings, so every record represents an agent who is working right now.

Agent data is available via REST API (JSON responses) or as bulk CSV export. For specific platform format requirements — Salesforce, HubSpot, Klaviyo, or a custom schema — reach out and we can discuss export options.

Download a Free Agent Sample

Tell us your target markets and campaign type. We'll send a representative sample within 24 hours.

  • Real agent contact records from active MLS listings
  • Custom sample from your specific target markets on request
  • Segmentation by geography, price range, and property type
  • CSV export or API access — your choice
  • No enterprise contract, no minimum commitment
  • Response within 24 hours

Request a Quote

We'll respond with a sample dataset matched to your target markets within 24 hours.

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Thank you!