๐Ÿก Realtor Leads Scraper - Real Estate Agent Emails & Phones avatar

๐Ÿก Realtor Leads Scraper - Real Estate Agent Emails & Phones

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from $7.44 / 1,000 leads

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๐Ÿก Realtor Leads Scraper - Real Estate Agent Emails & Phones

๐Ÿก Realtor Leads Scraper - Real Estate Agent Emails & Phones

Real estate agent and agency leads for any city: name, address, phone, website, emails and social profiles extracted live from each website. $8 per 1,000 realtor leads, pay as you go.

Pricing

from $7.44 / 1,000 leads

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Renzo Madueno

Renzo Madueno

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๐Ÿก Realtor Leads Scraper โ€” Real Estate Agent Emails & Phones

There are over 1.5 million licensed real estate agents in the US alone, and almost every one of them is a one-person business that buys tools, leads, photography, signage, CRM software and coaching. If agents or brokerages are your customers, this scraper turns any city into a prospect list in minutes: agent/agency name, office address, direct phone, website, emails pulled from their own site, Instagram/Facebook/LinkedIn, Google rating and review count โ€” at $8 per 1,000 leads, pay-as-you-go.

No ZIP-code credit packs, no "contact sales", no subscription. Type "Phoenix, AZ", press Run, export a CSV.

Built for people who sell TO real estate

  • Mortgage & title reps โ€” build a co-marketing target list of every active agency in your county, ranked by review count (a proxy for transaction volume).
  • Real estate photographers & stagers โ€” agencies with strong Instagram presence (the scraper captures it) are the ones already paying for visuals.
  • PropTech & CRM sales โ€” fill your SDR queue with brokerages city by city; the techStack field shows what their website runs on.
  • Recruiting brokers โ€” map every competing brokerage and independent agent in your metro.
  • Lead-gen agencies โ€” resell targeted realtor lists or run cold outreach campaigns for clients in the real-estate vertical.

What comes out

One row per agency/agent office. The core columns:

ColumnWhat it is
name / category"Sunset Ridge Realty" / "Real estate agency"
phoneThe office line from Google Maps
website + email + emails[]Emails scraped live from the agency's site
socialProfilesInstagram, Facebook, LinkedIn, X โ€” where realtors actually live
rating + reviewsCount4.9 โ˜… / 187 reviews โ€” sort by this to find producers
address, city, country, latitude, longitudeFor territory mapping
placeUrlGoogle Maps link to verify any lead in one click

Choosing your targets

The Real estate categories selector covers the segments that behave differently as buyers:

  • real estate agent โ€” individual agents with a Maps listing
  • realtor / real estate agency โ€” brokerage offices
  • real estate broker โ€” broker-owners (decision makers)
  • property management company โ€” recurring-revenue businesses, great for SaaS
  • commercial real estate agency โ€” higher ticket, smaller universe

Select several and each becomes its own search against your location. Advanced users can instead paste raw queries (realtor in Scottsdale, AZ, one per line) to sweep an entire metro's suburbs in one run.

Building an agent and brokerage contact list with emails, one metro at a time

A single Maps search stops feeding new listings at roughly 120 offices, so a big metro is not one query โ€” it is a sweep. The reliable recipe:

  1. Pick the segments in searchTerms. Each selected category runs as its own search, so ["real estate agency", "realtor", "real estate broker"] against one city is three searches, not one diluted list.
  2. Go down a level in geography. Instead of Phoenix, AZ, run the suburbs as custom searchQueries โ€” realtor in Scottsdale, AZ, realtor in Tempe, AZ, realtor in Mesa, AZ, realtor in Chandler, AZ. Ten suburb queries beat one metro query by a wide margin, because each gets its own 120-listing budget.
  3. Let the run dedupe. Offices are keyed by their Google Maps place, across every query in the run, so the brokerage that appears under both realtor and real estate agency in three overlapping suburbs is delivered once and charged once.
  4. Split the file on emailFound. The rows with an address go to email; the rest still carry a phone and a Maps link, which for a one-person agent business is often the better channel anyway.
  5. Sort by reviewsCount. Review count is the closest public proxy for transaction volume: the top of the list is the producers with budget, the middle is the growth-hungry tier that answers cold outreach.

Emails come off each agency's own site โ€” the team, contact and about pages โ€” not from a pattern generator, so what you get is what the brokerage publishes for people to contact them.

Property management companies as a separate list

property management company behaves nothing like the agent categories and is worth running on its own. Property managers are recurring-revenue businesses with staff, an office, real software budgets and a buying cycle measured in months rather than the transaction-to-transaction rhythm of an agent. They are the segment to target for maintenance software, tenant screening, insurance, cleaning and turnover services, accounting and lending.

{ "searchTerms": ["property management company"], "location": "Tampa, FL", "maxResults": 100 }

Practical notes: email coverage runs higher than on individual agents because these firms need tenants and owners to reach them; reviewsCount skews low and negative even at good firms (tenants review landlords, not vendors), so treat it as a size signal rather than a quality one; and commercial real estate agency is the natural companion query when you sell to the commercial side of the same market.

FAQ

How many realtors can I pull from one city? Google Maps returns up to ~120 listings per query. One category ร— one big city โ‰ˆ 60โ€“120 leads; 5 categories ร— 10 suburb-level queries can produce 1,000+ unique offices in a single run (duplicates across searches are removed by place, so you don't pay twice).

Are these individual agents or brokerages? Both, depending on category. real estate agent surfaces individuals who registered a Maps listing; real estate agency/realtor surfaces offices. Brokerage rows often include the office email (info@...) โ€” the scraper also grabs any personal emails published on the site's team/contact pages.

What share of leads include an email? Typically 50โ€“70% in US metros โ€” real estate is a web-forward industry. Every lead includes phone + website regardless, and emailFound lets you split the file in one filter.

Can I find agents without a website? Yes โ€” leave onlyWithWebsite off and you'll also get Maps-only agents (phone but no site). Web designers: that's your pitch list.

Does it cover Canada / UK / Australia? Anywhere Google Maps operates. Try estate agent in Manchester, UK (note the local term) via custom queries, or inmobiliaria in Ciudad de Mรฉxico with language: "es".

Is the data current? Scraped at run time, never from a stored database. An agency that rebranded last month shows up under its new name; one that shut down doesn't show up at all.

What does it cost to build a 1,000-lead list? $0.02 start + 1,000 ร— $0.008 = $8.02 total. Compare that with per-contact pricing on ZoomInfo or a realtor list broker.

Pricing

Pay-per-event: $0.02 per run start (2 GB) and $0.008 per lead delivered to your dataset. Dropped/duplicate businesses are never charged.

Compliance notes

Everything collected here is information real estate professionals publish publicly to be contacted: their Google Maps business listing and their own public websites. No login walls are bypassed and no MLS data is touched. For cold outreach, follow the rules of your market โ€” CAN-SPAM (US), CASL (Canada), PECR/GDPR (UK/EU) โ€” and honor opt-outs.