# RealEstate.com.au Agents Email Scraper (`neuro-scraper/realestate-com-au-agents-email-scraper`) Actor

RealEstate.com.au Agents Email Scraper SD - RealEstate.com.au Agents Email Scraper is a lead generation tool that extracts leads with public contact emails, account names and profile URLs from realestate.com.au results by keyword, location and email domain - realestate.com.au email extractor.

- **URL**: https://apify.com/neuro-scraper/realestate-com-au-agents-email-scraper.md
- **Developed by:** [Neuro Scraper](https://apify.com/neuro-scraper) (community)
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.49 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

### RealEstate.com.au Agents Email Scraper: named Australian agents, not anonymous rows

The RealEstate.com.au Agents Email Scraper collects agent contact emails that are publicly visible in Google's index alongside realestate.com.au pages.
The defining strength of the RealEstate.com.au Agents Email Scraper is identity. In a measured run, all ten of roughly ten parsed result blocks carried usable identity data such as an account label and a display name.
That makes the RealEstate.com.au Agents Email Scraper the best Australian source in this category for knowing who you are actually emailing.

The trade-off is resolution and volume. Of those same ten parsed blocks, about three resolved to a canonical agent profile URL and about three produced a unique email.
So the RealEstate.com.au Agents Email Scraper returns fewer addresses per block than the US franchise Actors, but the addresses it does return arrive attached to a name.
For personalised outreach that is usually the better trade.

realestate.com.au is Australia's largest property portal, and agents maintain public profile pages there because vendors and buyers must be able to reach them.
Those pages carry a display name, an agency association and often a contact address.
The RealEstate.com.au Agents Email Scraper reads only what Google already indexed from them.

#### Who the RealEstate.com.au Agents Email Scraper is for

Proptech vendors run the RealEstate.com.au Agents Email Scraper to sell CRM, agent websites, virtual staging, floor plans and transaction management into the Australian market.
Mortgage brokers, conveyancers and settlement partners use it to build referral relationships with named listing agents.
Listing photographers, videographers, recruiters and franchise development teams use the RealEstate.com.au Agents Email Scraper when they need a person, not a generic office inbox.

#### What the RealEstate.com.au Agents Email Scraper never does

The RealEstate.com.au Agents Email Scraper never logs into realestate.com.au, never uses its API and never opens the website.
There is no browser, no JavaScript rendering, no authentication and no cookies anywhere in the pipeline.
Every field comes from publicly indexed Google search results: titles, snippets and site labels.

### Key features of the RealEstate.com.au Agents Email Scraper

| Feature | What it does for your Australian real estate agent email list |
|---|---|
| Google `site:` targeting | Every query is scoped to `realestate.com.au` so nothing off-platform leaks in |
| Query expansion | Base, quoted and `intitle:` phrasings plus one variant per query modifier |
| Structural parsing | Locates the `<h3>` title then the smallest surrounding block, never Google CSS class names |
| Profile-title parsing | Agent profile titles yield a `fullName`, which is why identity coverage is so strong here |
| Domain-filtered extraction | Only addresses ending in your `customDomains` are kept |
| Global deduplication | One row per unique email across every query and every page |
| Email normalisation | Handles `name [at] domain [dot] com`, `name (at) domain`, `name @ domain.com`, `domain .com`, zero-width characters and the full-width at sign |
| Junk filter | Rejects placeholders such as `email@`, `yourname@`, `test@`, `xxx@` and single-character locals |
| Boundary-correct matching | `@gmail.com` never matches inside `@gmail.company` or `@gmail.com.br` |
| Soft-wrap repair | Drops a hit that is only the tail of another address in the same block |
| Concurrency pool | An `asyncio` worker pool with a shared stop signal on `maxEmails` |
| Retries and block detection | Up to 3 attempts per page, exponential backoff, a fresh proxy session per request, and CAPTCHA or consent pages retried rather than counted as empty |
| Requeue of failures | Blocked or failed queries are retried once at the end of the run |
| Resumable state | Stored in the key-value store keyed by a hash of your input, saved on `PERSIST_STATE`, `MIGRATING` and `ABORTING` |
| Fallback parser | A Google layout change degrades the run to emails without account details, not to nothing |
| Run summary | Logs pages fetched, blocked pages, retries and emails per page |

Profile-title parsing is the feature that shapes the output here.
Because realestate.com.au publishes real agent profile pages, the RealEstate.com.au Agents Email Scraper can usually fill `accountName` and `fullName` even when it cannot build a canonical `profileUrl`.

### How the RealEstate.com.au Agents Email Scraper works

1. The RealEstate.com.au Agents Email Scraper reads your input: keywords, location, email domains and limits.
2. It builds Google queries with the `site:` operator, for example `site:realestate.com.au "real estate agent" "@gmail.com" "Bondi"`.
3. It fetches result pages through the Apify GOOGLE_SERP proxy with async `aiohttp` requests.
4. It parses each result block structurally instead of by CSS class.
5. It extracts addresses from the block text with a domain-filtered regex.
6. It deduplicates globally and pushes each lead to the dataset immediately.

Base queries run before expanded variants, so the highest-signal realestate.com.au results land first.
The RealEstate.com.au Agents Email Scraper writes rows as it finds them, so an aborted run still leaves you everything collected.

### Input reference for the RealEstate.com.au Agents Email Scraper

| Field | Type | Default | Meaning |
|---|---|---|---|
| `keywords` | array (required) | `["real estate agent", "agency"]` | Search terms describing the accounts you want |
| `location` | string | `""` | Optional location phrase added to every query |
| `customDomains` | array | `["@gmail.com","@yahoo.com"]` | Only emails on these domains are kept; the `@` is optional |
| `maxEmails` | integer 1-10000 | `20` | Stop after this many unique emails |
| `countryCode` | string | `""` | Two-letter country for the search proxy (US, GB, DE...) |
| `expandQueries` | boolean | `true` | Search each keyword x domain pair in several phrasings |
| `queryModifiers` | array | `["email","contact","listing agent","inquiries","broker"]` | Extra words combined with each keyword when expansion is on |
| `maxPagesPerQuery` | integer 1-50 | `30` | Page cap per query |
| `maxConcurrency` | integer 1-20 | `5` | Parallel queries |

#### `location` is the highest-value input

Australian agents farm suburbs, so `location` is the single most valuable control in the RealEstate.com.au Agents Email Scraper.
Begin at city level: `Sydney`, `Melbourne`, `Brisbane`, `Perth`, `Adelaide`, `Canberra`, `Gold Coast`, `Newcastle`.
Then narrow to the suburb, which is where profile pages cluster: `Bondi`, `Surry Hills`, `Chatswood`, `Brighton`, `Carlton`, `New Farm`, `Cottesloe`, `Glenelg`.

Write the phrase as a profile or listing page would print it.
`Surry Hills` beats `Surry Hills, NSW 2010, Australia`, and a suburb name generally beats a postcode.
Run a separate RealEstate.com.au Agents Email Scraper job per suburb cluster so one dense market does not consume your entire `maxEmails` budget.

#### `countryCode` guidance

Set `countryCode` to `AU`. Australian routing matters here because suburb names such as `Richmond`, `Kensington`, `Brighton` and `Newtown` exist in several countries.
Without it, the RealEstate.com.au Agents Email Scraper spends part of its page budget on results you cannot use.

#### Example input

```json
{
  "keywords": ["real estate agent", "agency", "sales agent"],
  "location": "Bondi",
  "customDomains": ["@gmail.com", "@yahoo.com", "@bigpond.com", "@outlook.com"],
  "maxEmails": 250,
  "countryCode": "AU",
  "expandQueries": true,
  "queryModifiers": ["email", "contact", "listing agent", "inquiries", "broker"],
  "maxPagesPerQuery": 30,
  "maxConcurrency": 5
}
```

### Output reference for the RealEstate.com.au Agents Email Scraper

Every dataset item written by the RealEstate.com.au Agents Email Scraper carries all fourteen fields.

| Field | Meaning |
|---|---|
| `network` | Platform name |
| `keyword` | The keyword that produced the lead |
| `query` | The exact Google query used |
| `title` | Raw result title |
| `accountName` | Account label Google prints |
| `fullName` | Display name parsed from a profile-style title; empty for listing captions |
| `username` | URL-safe handle when the platform exposes one; otherwise `null` |
| `profileUrl` | Canonical account URL when a handle is known; otherwise empty |
| `url` | Direct platform link when exposed, else the profile URL |
| `description` | Bio or caption snippet, cleaned of labels and counters |
| `email` | Lower-cased email address |
| `emailDomain` | The matched domain |
| `possiblyTruncated` | `true` when Google's snippet ellipsis touched the email |
| `foundAt` | ISO 8601 UTC timestamp |

#### Example output

```json
[
  {
    "network": "realestate.com.au",
    "keyword": "real estate agent",
    "query": "site:realestate.com.au \"real estate agent\" \"@gmail.com\" \"Bondi\"",
    "title": "Ilana Freeman - Real Estate Agent - realestate.com.au",
    "accountName": "ilana-freeman",
    "fullName": "Ilana Freeman",
    "username": "ilana-freeman",
    "profileUrl": "https://www.realestate.com.au/agent/ilana-freeman",
    "url": "https://www.realestate.com.au/agent/ilana-freeman",
    "description": "Residential sales in Bondi and Bondi Junction. Appraisal requests to ilana.freeman.re@gmail.com.",
    "email": "ilana.freeman.re@gmail.com",
    "emailDomain": "@gmail.com",
    "possiblyTruncated": false,
    "foundAt": "2026-08-31T12:41:05Z"
  },
  {
    "network": "realestate.com.au",
    "keyword": "agency",
    "query": "site:realestate.com.au agency contact \"@yahoo.com\" \"Bondi\"",
    "title": "Damien Kostoulias - Agency Profile - realestate.com.au",
    "accountName": "Damien Kostoulias",
    "fullName": "Damien Kostoulias",
    "username": null,
    "profileUrl": "",
    "url": "https://www.realestate.com.au/buy/in-bondi,+nsw+2026/list-1",
    "description": "Sales and leasing across the eastern suburbs. Inquiries to d.kostoulias.agent@yahoo.com.",
    "email": "d.kostoulias.agent@yahoo.com",
    "emailDomain": "@yahoo.com",
    "possiblyTruncated": false,
    "foundAt": "2026-08-31T12:42:18Z"
  }
]
```

The first row is a fully resolved lead: handle, name and canonical agent profile URL.
The second shows the common middle case on this platform, where the RealEstate.com.au Agents Email Scraper recovers a real name but Google printed no handle, so `username` is `null` and `profileUrl` is empty.
Notice that even the unresolved row still gives you a person to address by name, which is the point of this Actor.

### Use cases for the RealEstate.com.au Agents Email Scraper

| Use case | How the RealEstate.com.au Agents Email Scraper fits |
|---|---|
| Personalised proptech outreach | `fullName` on nearly every row makes first-name personalisation viable |
| Mortgage and conveyancing referrals | Approach named listing agents in the suburbs you service |
| Listing media services | Reach the individual agent who commissions photography and video |
| Virtual staging and floor plans | Segment by suburb where premium listings concentrate |
| Recruiting | Identify named, active agents by market for brokerage conversations |
| CRM enrichment | Match `fullName` and `email` against an existing agent contact database |
| Australian coverage | Pair with Domain output and deduplicate on `email` for the widest reach |

#### Example run recipes

Three RealEstate.com.au Agents Email Scraper configurations that work well in practice.

Eastern suburbs Sydney: keywords `["real estate agent", "sales agent"]`, location `Bondi`, `countryCode` `AU`, `maxEmails` 200.
Inner Melbourne: keywords `["real estate agent", "agency"]`, location `Carlton`, domains `["@gmail.com", "@bigpond.com", "@outlook.com"]`.
National named-agent build: run the RealEstate.com.au Agents Email Scraper once per capital city, then merge and deduplicate on `email`.

### Results you should realistically expect

In a measured run, roughly ten parsed result blocks yielded ten rows with identity data, about three resolved profile URLs and about three unique emails.
Read the RealEstate.com.au Agents Email Scraper as name-rich and address-moderate: expect to work harder for volume than on the US franchise Actors, and expect better personalisation when you get there.
No volume is guaranteed, and totals move with keywords, domains, location and what Google has indexed.

For agency and office contacts rather than individuals, run [Domain Agents Email Scraper](https://apify.com/leads-scraper/domain-agents-email-scraper) alongside this one.
**Property.com.au Email Scraper** has a small indexed footprint and is only worth a final top-up pass.
If you sell into the US as well, [Keller Williams Agent Email Scraper](https://apify.com/neuro-scraper/keller-williams-agent-email-scraper) and [Coldwell Banker Agent Email Scraper](https://apify.com/neuro-scraper/coldwell-banker-agent-email-scraper) return the densest results in this category.

### Responsible use

Australian agents publish these addresses so vendors, buyers and renters can reach them, so make RealEstate.com.au Agents Email Scraper outreach relevant rather than bulk.
The Australian Spam Act governs commercial electronic messages sent to Australian recipients, including consent, sender identification and a working unsubscribe path.
CAN-SPAM applies to US recipients, CASL to Canadian ones, and GDPR with PECR to EU and UK ones; phone follow-up brings TCPA-adjacent rules into scope.

Fair Housing style principles apply to property outreach in every market you touch.
Do not use the `location` input to include or exclude people on the basis of protected characteristics.
This is not legal advice; confirm your own obligations before you send.

### Limitations of the RealEstate.com.au Agents Email Scraper

- The RealEstate.com.au Agents Email Scraper only finds addresses that are publicly visible in Google's index. Agents who hide their address will not appear.
- Identity coverage is strong but URL resolution is weaker: in a measured run only about three of ten parsed blocks resolved to a canonical profile URL.
- Google caps a single query at roughly 300 results, which is why query expansion exists; keep `expandQueries` on.
- `possiblyTruncated: true` means Google's snippet ellipsis touched the address, so verify those rows before sending.
- `username` and `profileUrl` populate only when Google exposes a handle; empty values are a Google limitation, not a bug.
- The RealEstate.com.au Agents Email Scraper requires the Apify GOOGLE_SERP proxy and cannot run without Apify proxy credentials.
- Free Apify plans are capped at 100 emails per run; paid plans are uncapped.
- Results vary with keywords, domains and location, and no volume is guaranteed.

### FAQ about the RealEstate.com.au Agents Email Scraper

#### How many results should I expect?

In a measured run the RealEstate.com.au Agents Email Scraper returned identity data on all ten of roughly ten parsed blocks, about three resolved profile URLs and about three unique emails.
Widen keywords, domains and suburbs if a run finishes short of your `maxEmails` target.

#### Why is identity coverage so much better than URL coverage?

Because realestate.com.au publishes real agent profile pages, Google usually prints a display name even when it does not print a handle.
The RealEstate.com.au Agents Email Scraper can parse the name from the title but has nothing to build a canonical link from.

#### Does it log into realestate.com.au?

No. The RealEstate.com.au Agents Email Scraper reads publicly indexed Google results only, with no login, no API and no site visits.

#### What should I put in `location`?

A suburb or city as a profile page would print it: `Bondi`, `Surry Hills`, `Carlton`, `New Farm`, `Melbourne`.
Suburb-level phrasing matches how Australian agents farm and how the index is organised.

#### Should I set `countryCode`?

Yes, use `AU`. Many Australian suburb names also exist overseas, and AU routing keeps the result set on the pages you want.

#### Which email domains should I add?

The defaults plus `@bigpond.com`, `@optusnet.com.au`, `@iinet.net.au`, `@outlook.com` and `@hotmail.com`.
Add specific agency domains when you already know which offices you are targeting.

#### How do I get more emails from one RealEstate.com.au Agents Email Scraper run?

Raise `maxEmails`, keep `expandQueries` on, add keywords such as `sales agent`, `property management` and `licensed agent`, and widen the domain list.
Several narrow suburb runs usually outperform one broad state-level run.

#### Is `maxConcurrency` safe to raise?

It controls how many queries the RealEstate.com.au Agents Email Scraper runs in parallel, up to 20. Higher values finish sooner and consume proxy capacity faster; 5 is a sensible default.

#### What does `possiblyTruncated` mean?

Google's snippet ellipsis touched the address, so it may be cut off. Treat those rows as needing verification.

#### Can I resume an interrupted RealEstate.com.au Agents Email Scraper run?

Yes. State lives in the key-value store keyed by a hash of your input and is saved on `PERSIST_STATE`, `MIGRATING` and `ABORTING`.
If Google's markup changes mid-run, a whole-page fallback parser keeps the RealEstate.com.au Agents Email Scraper returning emails without account details rather than nothing.

#### How do I export the results?

Download the RealEstate.com.au Agents Email Scraper dataset as CSV, JSON or Excel from the Apify console, or pull it through the Apify API into your CRM.

#### Is this affiliated with realestate.com.au?

No. The RealEstate.com.au Agents Email Scraper is an independent Actor and is not affiliated with, supported by or endorsed by realestate.com.au or REA Group.

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### Leave a review

If the RealEstate.com.au Agents Email Scraper saved you time, please leave a star rating and a
short review on the Actor page.

Reviews are how other buyers judge whether a tool works, and they tell us which features to
build next.

If something did not work, email <neurodata.apify@gmail.com>
instead - bugs get fixed faster than they get complained about.

### Support

Questions, a bug report or a custom build? Email neurodata.apify@gmail.com and we will help.

# Actor input Schema

## `keywords` (type: `array`):

Search terms describing the realestate.com.au accounts you want (niche, job title, industry).

## `location` (type: `string`):

Optional location phrase added to every query (e.g. "New York").

## `customDomains` (type: `array`):

Only emails ending with one of these domains are collected. With or without the leading @. Each domain is searched separately, so more domains means more results but a longer run - remove some for a faster, narrower search, or add your own (e.g. @company.com).

## `maxEmails` (type: `integer`):

Stop once this many unique emails have been collected.

## `countryCode` (type: `string`):

Two-letter country code for the search proxy (e.g. US, GB, DE). Empty for any.

## `expandQueries` (type: `boolean`):

Search each keyword x domain pair with several phrasings. Recommended - Google caps a single query at ~300 results.

## `queryModifiers` (type: `array`):

Extra words combined with each keyword when Expand queries is on. Tuned for realestate.com.au.

## `maxPagesPerQuery` (type: `integer`):

Google rarely returns more than ~30 pages for one query.

## `maxConcurrency` (type: `integer`):

How many queries run in parallel.

## Actor input object example

```json
{
  "keywords": [
    "real estate agent",
    "agency"
  ],
  "location": "",
  "customDomains": [
    "@gmail.com",
    "@yahoo.com"
  ],
  "maxEmails": 20,
  "countryCode": "",
  "expandQueries": true,
  "queryModifiers": [
    "email",
    "contact",
    "listing agent",
    "inquiries",
    "broker"
  ],
  "maxPagesPerQuery": 30,
  "maxConcurrency": 5
}
```

# Actor output Schema

## `results` (type: `string`):

Records produced by RealEstate.com.au Agents Email Scraper, stored in the run's default dataset.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": [
        "real estate agent",
        "agency"
    ],
    "location": "",
    "customDomains": [
        "@gmail.com",
        "@yahoo.com"
    ],
    "countryCode": "",
    "queryModifiers": [
        "email",
        "contact",
        "listing agent",
        "inquiries",
        "broker"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("neuro-scraper/realestate-com-au-agents-email-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keywords": [
        "real estate agent",
        "agency",
    ],
    "location": "",
    "customDomains": [
        "@gmail.com",
        "@yahoo.com",
    ],
    "countryCode": "",
    "queryModifiers": [
        "email",
        "contact",
        "listing agent",
        "inquiries",
        "broker",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("neuro-scraper/realestate-com-au-agents-email-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": [
    "real estate agent",
    "agency"
  ],
  "location": "",
  "customDomains": [
    "@gmail.com",
    "@yahoo.com"
  ],
  "countryCode": "",
  "queryModifiers": [
    "email",
    "contact",
    "listing agent",
    "inquiries",
    "broker"
  ]
}' |
apify call neuro-scraper/realestate-com-au-agents-email-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,neuro-scraper/realestate-com-au-agents-email-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/avZrn4r6aTNZifyQX/builds/CLdJeQLfai1h8IAQS/openapi.json
