# Zillow Email Scraper - Domain Filter & Deduplication (`insightflow/zillow-email-scraper-powerful-and-intelligent`) Actor

🏡 Zillow Email Scraper — turn Zillow searches into a clean real estate email list. Filter by keyword, location and domain, merge alias duplicates and decode hidden addresses. 🔑 For proptech sales & realtor lead generation.

- **URL**: https://apify.com/insightflow/zillow-email-scraper-powerful-and-intelligent.md
- **Developed by:** [InsightFlow](https://apify.com/insightflow) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.99 / 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.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

### Zillow Email Scraper

**Zillow Email Scraper** is a practical Apify actor for extracting publicly available email addresses from Zillow using your chosen keywords and filters. It helps marketers, data analysts, and researchers turn time-consuming manual prospecting into fast, structured Zillow leads extraction. If you need a Zillow contact finder for real estate lead generation, this tool can help you build a focused contact list at scale. 📬

### What is Zillow Email Scraper? 🔍

**Zillow Email Scraper** is an automated web scraping tool that collects public email addresses and related profile details from Zillow. You provide keywords, an optional location, and email-domain filters, and the actor returns structured results for easy review and export. It’s useful for real estate email scraping, realtor email extraction, and property listing data extraction when you want to reduce manual searching and work faster. Whether you’re building a real estate contact database or doing housing market lead scraping, Zillow Email Scraper helps you scale outreach and research with less effort. ⚡

### What Data Does Zillow Email Scraper Collect? 📊

Zillow Email Scraper focuses on a small, clear set of fields so you can quickly identify relevant leads and export them into your workflow. The dataset includes the keyword that surfaced the result, the title and description, a clickable profile URL, and the extracted email address.

| Data Category | Fields Extracted | Description |
|---|---|---|
| Discovery | `keyword` | The keyword that produced the result |
| Identity | `title` | The title or name shown in the result |
| Context | `description` | The visible descriptive text associated with the result |
| Navigation | `url` | Direct link to the result page |
| Contact | `email` | Public email address found in the result |

### What Do Results from Zillow Email Scraper Look Like? 👀

Each result is saved as a structured JSON record in your Apify dataset. This makes it easy to filter, export, and reuse the data for outreach, CRM enrichment, or research.

```json
{
  "keyword": "founder",
  "title": "Alex Rivera",
  "description": "Founder at Rivera Realty Group with experience in residential sales and property management.",
  "url": "https://www.zillow.com/profile/alex-rivera/",
  "email": "alex.rivera@gmail.com"
}
```

Export formats: JSON by default, plus CSV export from Apify Console.

#### Core Features: Zillow Email Scraper ⚡

| Feature | Benefit |
|---|---|
| ✅ **Keyword-Driven Targeting** | Find relevant Zillow leads using the keywords that match your niche |
| ✅ **Location Filter** | Narrow results by location when you want to focus on a specific area |
| ✅ **Custom Email Domain Filter** | Focus on domains like `@gmail.com` or `@yahoo.com` |
| ✅ **Configurable Result Cap** | Use `maxEmails` to control run size and keep costs predictable |
| ✅ **Built-In Proxy Support** | Improves reliability for larger runs and public web data collection |
| ✅ **Real-Time Data Saving** | Results are stored as they are found, reducing the risk of data loss |
| ✅ **Structured Dataset Output** | Clean records are ready for analysis, export, or CRM import |
| ✅ **Publicly Available Data Only** | Works with public web data and does not require login access |

### Getting Started with Zillow Email Scraper 🚀

1. **Open Apify Store** — Go to the Apify Store and search for Zillow Email Scraper.
2. **Click Try for Free** — Sign in to your Apify account or create one if needed.
3. **Open the Input Tab** — Configure your keywords and optional filters.
4. **Add Keywords** — Enter the Zillow-related terms you want to target.
5. **Set Optional Filters** — Add a location or custom email domains if you want narrower results.
6. **Cap Your Results** — Set `maxEmails` to control how many emails the actor collects.
7. **Click Start** — Launch the run and monitor progress in the log output.
8. **Access Your Data** — Open the Dataset tab to preview or export your results.

No coding required. It’s a simple way to support Zillow data scraper workflows and real estate prospecting tool use cases at scale.

### Ways to Use Zillow Email Scraper 💡

- 🎯 **Real Estate Lead Generation** — Build targeted contact lists for outreach campaigns and prospecting
- 📣 **Email Marketing** — Collect public emails for newsletters, follow-ups, and campaign segmentation
- 🤝 **Recruiting and Outreach** — Find public contact details for professionals connected to the housing market
- 🔬 **Market Research** — Study public Zillow-related profiles by keyword and region
- 📊 **CRM Enrichment** — Add verified-looking public contacts to your existing database
- ⚙️ **Research Automation** — Speed up repeatable public data collection for ongoing projects

#### Input Parameters — Zillow Email Scraper

```json
{
  "keywords": [
    "manager",
    "founder"
  ],
  "location": "",
  "customDomains": [
    "@gmail.com",
    "@yahoo.com"
  ],
  "maxEmails": 20
}
```

| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| `keywords` | Array | Yes | `["manager","founder"]` | A list of keywords or queries to search for. These are the main terms used to find relevant Zillow profiles and contacts. |
| `location` | String | No | `""` | Optional location filter to narrow the search results by geography. |
| `customDomains` | Array | No | `["@gmail.com","@yahoo.com"]` | Email domains to look for, such as personal or company domains. |
| `maxEmails` | Integer | No | `20` | The maximum number of emails to collect before the actor stops. |

#### Output Parameters — Zillow Email Scraper

| Field | Label | Format | Description |
|---|---|---|---|
| `keyword` | Keyword | text | The keyword that produced the result. |
| `title` | Title | text | The title or name shown in the dataset row. |
| `description` | Description | text | The visible descriptive text associated with the result. |
| `url` | Url | link | A direct link to the result page. |
| `email` | Email | text | The public email address extracted from the result. |

### Why Choose Zillow Email Scraper? 🏆

If you need a reliable Zillow contact finder, this actor gives you a straightforward way to collect public emails with structured output and configurable limits. It supports real estate lead generation workflows, helps with realtor email extraction, and keeps the process simple for marketers and analysts who want fast results without manual searching. Built for public web data, it’s a practical choice for Zillow leads extraction and ongoing prospecting. For support or custom needs, contact <insightflowofficial@gmail.com>. ✅

### How Many Results Can You Scrape? 📈

You can set `maxEmails` anywhere from 1 to 10,000. Actual volume depends on how many public Zillow profiles match your keywords and filters, and whether those profiles include email addresses. Larger runs may take longer, especially when you use broader keyword sets. The dataset can store all collected rows, and you can export the results whenever you’re ready.

### Legal Guidelines for Scraping Zillow ⚖️

Zillow Email Scraper works only with publicly available data. It does not require login access or collect private information. As with any public web scraping workflow, you’re responsible for following Zillow’s Terms of Service, applicable privacy laws, and spam regulations. Use the data only for legitimate business and research purposes. For data removal requests, contact <insightflowofficial@gmail.com>. 🙏

### FAQ — Zillow Email Scraper ❓

#### How does Zillow Email Scraper find email addresses?

It uses your keywords and email-domain filters to find relevant public Zillow data, then extracts publicly available email addresses and nearby profile text into a structured dataset.

#### What Zillow profile types can I scrape?

You can scrape public Zillow profiles and public result pages that display email addresses in visible content. If no email is publicly available, there may be no result for that record.

#### Why use Zillow Email Scraper for real estate prospecting?

It helps automate real estate prospecting by turning public Zillow data into a clean contact list. That makes it useful for realtor email extraction, real estate contact database building, and property owner email lookup workflows.

#### How does Zillow Email Scraper help with Zillow leads extraction?

It reduces manual research by pulling together the keyword, title, description, URL, and email in one dataset. That makes it easier to review leads, segment them, and move them into outreach tools.

#### Can I use Zillow Email Scraper for MLS data scraping?

It’s designed for publicly available Zillow data and public contact information. If your workflow involves MLS data scraping, you should verify that the specific data you need is publicly accessible and permitted for your use case.

#### How do I improve results?

Try broader keywords, add related terms, and include more email domains. If you need more reach, you can also increase `maxEmails` and use a more open location filter.

#### What makes this actor a good Zillow API alternatives option?

It offers a simple structured dataset, flexible keyword targeting, and public-email extraction without requiring you to build and maintain your own data pipeline. That makes it a practical Zillow API alternatives choice for many workflows.

### Conclusion 🏁

**Zillow Email Scraper** is a fast, practical way to collect public Zillow contact data for prospecting, research, and outreach. Whether you need real estate email scraping, housing market lead scraping, or a simple Zillow data scraper, this actor helps you move from manual searching to scalable results. 📈

### 🆘 Support & Feedback

Have a question, bug report, or feature request for Zillow Email Scraper?

Contact us at <insightflowofficial@gmail.com>.

### MX Lookup

Every address is checked at the DNS level: the actor resolves the mail domain's
MX records and reports what it found.

| Field | Meaning |
| --- | --- |
| `mxFound` | `true` when the domain publishes at least one mail server |
| `mxHost` | The lowest-preference (primary) mail server |
| `mxRecords` | Every MX record found, in preference order |
| `mxProvider` | Who runs the mail: Google Workspace, Microsoft 365, Zoho, Proton, ... |
| `mxStatus` | `found`, `no_records`, `no_such_domain`, `timeout`, `error`, or `skipped` |

**Inputs**

- **MX Lookup** - turn the check on or off (default: on).
- **Only keep contacts whose domain has an MX record** - drop unreachable domains.
  Only a definite negative (`no_records` / `no_such_domain`) drops a contact; a
  timeout or resolver error is treated as unknown and the lead is kept.
- **MX lookup timeout (seconds)** - per-domain DNS budget, 1-15s.

This is a domain-level check. It confirms the domain can receive mail; it does
not verify that an individual mailbox exists.

# Actor input Schema

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

A list of keywords or queries to search for.

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

Location to filter search results.

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

List of custom email domains

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

Maximum number of emails to collect. The scraper will stop once this limit is reached. Setting a higher limit allows for more potential results but doesn't guarantee reaching that number. This helps save costs by controlling scraping time.

## `minLeadScore` (type: `integer`):

Drop any contact whose Lead Score (0-100) falls below this. Leave at 0 for no filter.

## `mxLookup` (type: `boolean`):

Resolve each address's domain to its mail servers. Adds the resolved MX hosts and the mail provider (Google Workspace, Microsoft 365, ...) to every result, and feeds the Lead Score. DNS-level only - it confirms the domain can receive mail, not that the individual mailbox exists.

## `requireMxRecord` (type: `boolean`):

Drop any contact whose domain provably accepts no mail. A lookup that times out or errors is treated as unknown and kept, so a DNS hiccup never silently deletes good leads.

## `mxTimeoutSecs` (type: `integer`):

How long to wait for each DNS answer. Clamped to 1-15 seconds.

## Actor input object example

```json
{
  "keywords": [
    "manager",
    "founder"
  ],
  "location": "",
  "customDomains": [
    "@gmail.com",
    "@yahoo.com"
  ],
  "maxEmails": 20,
  "minLeadScore": 0,
  "mxLookup": true,
  "requireMxRecord": false,
  "mxTimeoutSecs": 3
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

# 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": [
        "manager",
        "founder"
    ],
    "location": "",
    "customDomains": [
        "@gmail.com",
        "@yahoo.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("insightflow/zillow-email-scraper-powerful-and-intelligent").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": [
        "manager",
        "founder",
    ],
    "location": "",
    "customDomains": [
        "@gmail.com",
        "@yahoo.com",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("insightflow/zillow-email-scraper-powerful-and-intelligent").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": [
    "manager",
    "founder"
  ],
  "location": "",
  "customDomains": [
    "@gmail.com",
    "@yahoo.com"
  ]
}' |
apify call insightflow/zillow-email-scraper-powerful-and-intelligent --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,insightflow/zillow-email-scraper-powerful-and-intelligent"
        }
    }
}

```

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/tPDGqma1ihdW55btf/builds/lGQpFGwUy51uQTpNJ/openapi.json