Google Maps leads for real estate agents

How to build a complete, de-duplicated list of real estate agents for any city: the search terms that surface the category, what a metro actually yields, and the outreach approach that fits how this niche buys.

Last reviewed 3 August 2026

The numbers for this niche

Search terms that surface the category: "real estate agency", "estate agent", "realtor" plus your target city.
Typical de-duplicated list size: 500-2,500 per city.
Email discovery expectation: Medium. 25-40%, skewed to brokerage front inboxes.
Best first channel: Agents answer their mobiles; brokerages need the principal by name. Email response rates are poor.

A single Google Maps search returns roughly 120 results however many real estate agents actually exist, because the ceiling applies per query, not per city. The counts above are only reachable with grid extraction: subdivide the metro into cells, search each one, merge, and de-duplicate on place ID.

Step by step: extracting real estate agents

Open Lead Finder and enter real estate agency plus your target city, for example "real estate agency, Manchester".
Enable the grid sweep so coverage extends past the 120-result cap. Dense metros justify a finer grid.
Let the sweep run; progress auto-saves per cell, so a dropped connection resumes rather than restarts.
Re-run with the alternative terms ("estate agent", "realtor") since Google's category matching is inconsistent, then de-duplicate the merged export.
Export to CSV with every field, and clean before outreach: closed listings out, phones to E.164, then segment.

What to know about real estate agents data specifically

Expect heavy duplication pressure: individual agents and their brokerage often hold separate listings at the same address. De-duplicate on place ID, then decide deliberately whether your unit is the office or the agent, because merging them ruins both lists.

Segment by review count before anything else. In this category as in every other, a business with a handful of reviews and one with hundreds are different buyers with different budgets, and the review count is in the export at no extra effort. For the field-by-field reliability of everything else, see what Google Maps data is worth trusting.

Who buys these lists, and the pitch that works

The steady buyers of real estate agents lists: proptech startups, photography services, mortgage brokers, crm platforms.

The angle that converts: Personal-brand sites and listing media for agents competing inside large brokerages.

Cost of building this list

With a flat licence ($20/year, unlimited rows), a full metro sweep of real estate agents costs the same as a ten-row test, which changes behaviour: you sweep the whole city and refresh quarterly instead of rationing queries. Per-row cloud tools price the same sweep by volume; the comparison covers where each model wins.

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Frequently asked

How many real estate agents can I extract from one city?

Typically 500-2,500 per city after de-duplication, depending on metro size. A single Google Maps search stops at roughly 120 results regardless of the real count, so full coverage requires grid extraction: the metro is divided into cells, each cell is searched separately, and results are merged and de-duplicated on place ID.

What data does the export include for real estate agents?

Business name, phone number, website URL, full address, latitude and longitude, star rating, review count, category, opening hours where published, and social links where listed. Medium. 25-40%, skewed to brokerage front inboxes. Email is discovered from the linked website rather than the listing itself, because Google Maps has no email field.

Who buys real estate agents lead lists?

The consistent buyers are proptech startups, photography services, mortgage brokers and similar businesses selling into the niche. The outreach angle that converts best: personal-brand sites and listing media for agents competing inside large brokerages.