# Zillow Email Scraper - Keyword & Location Targeting (`scrapido/zillow-email-scraper`) Actor

🏡 Zillow Email Scraper finds real estate agent and listing emails by keyword and location. 🔓 Custom domain filters, hidden-address decoding and dedup. 📤 Export Zillow leads to CSV, JSON or Excel for realtor outreach.

- **URL**: https://apify.com/scrapido/zillow-email-scraper.md
- **Developed by:** [Scrapido](https://apify.com/scrapido) (community)
- **Categories:** Lead generation, Real estate, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.50 / 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 an Apify actor that automates the process of extracting email addresses and contact context from Zillow, solving the biggest problem marketers and data teams face: spending hours manually researching leads. It’s also a powerful **Zillow email extractor** and **Zillow contact scraper** for faster **Zillow lead generation**—at scale with clean, exportable results and strong ROI.

***

### What is Zillow Email Scraper? 🔍

Zillow Email Scraper is an Apify-powered automated web scraping tool designed for Zillow email scraper and Zillow data scraping use cases. It extracts emails from Zillow using the keywords, optional filters, and domain constraints you provide, saving you from manual research and copy-paste work. This Zillow email scraper is built for marketers, recruiters, sales teams, and analysts who need reliable **property owner contact extraction** at scale—turning public Zillow information into structured lead data quickly. If you’re looking for a Zillow contact scraper or a Zillow lead generation tool, this actor helps you generate bulk email collection outputs in minutes, then export them for downstream workflows like CRM lead enrichment.

***

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

Zillow Email Scraper captures contact details and the context needed to evaluate and enrich leads—so you’re not just collecting emails, you’re collecting useful lead signals.

| Data Category | Fields Extracted | Description |
|---|---|---|
| Contact | `email` | Public email address associated with a Zillow profile |
| Identity | `title` | Profile name, business title, or lead-related headline text |
| Context | `description` | Profile or result description text (lead context) |
| Discovery | `keyword` | The keyword term used to surface this result |
| Navigation | `url` | Direct URL to the Zillow profile/result page |
| Location | `location` | Location text to help qualify the lead (when available) |

***

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

Each result is a structured JSON record saved to your Apify dataset. Here's a real example:

```json
{
  "keyword": "manager",
  "title": "Alex Rivera",
  "description": "Creative Director at Studio Co. | Available for freelance",
  "url": "https://www.zillow.com/homedetails/1234-Sunset-Blvd-Los-Angeles-CA-90026/12345678_zpid/",
  "email": "alex@studioco.com"
}
```

Export formats: JSON (default) and CSV (via Apify Console).

***

#### Core Features: Zillow Email Scraper ⚡

| Feature | Benefit |
|---|---|
| ✅ **Keyword-Driven Targeting** | Use your keywords to focus Zillow data extraction on the audiences you care about |
| ✅ **Location Filter** | Narrow results using the `location` filter to improve lead relevance |
| ✅ **Custom Domain Filter** | Use `customDomains` to restrict extraction to specific email domains (e.g., `@gmail.com`) |
| ✅ **Configurable Result Cap** | Control run size with `maxEmails` to manage cost and runtime |
| ✅ **Proxy Support** | Built-in proxy support helps maintain reliable scraping at scale |
| ✅ **Real-Time Data Saving** | Results are pushed to the dataset incrementally as they are found |
| ✅ **Structured Dataset Output** | Clean, labeled records ready for CRM lead enrichment and outreach tooling |
| ✅ **Designed for Public Data** | Works on publicly available Zillow pages and contact signals |

***

### Getting Started with Zillow Email Scraper 🚀

1. **Open Apify Store** — Go to [apify.com/store](https://apify.com/store) and search **Zillow Email Scraper**
2. **Click Try for Free** — Sign in or create a free Apify account
3. **Open the Input Tab** — Configure your Zillow lead generation parameters
4. **Add Keywords** — Enter search terms that match your ideal lead profiles
5. **Set Optional Filters** — Add `location` and/or `customDomains` to refine results
6. **Cap Your Results** — Set `maxEmails` to control spend and runtime for your scraping project
7. **Click Start** — Launch the run and monitor progress in real time
8. **Access Your Data** — Open the **Scraped Leads** dataset and export to JSON/CSV

*No coding required. Tune keywords and domains to improve yield for bulk email collection and real estate email list building.*

***

### Ways to Use Zillow Email Scraper 💡

- 🎯 **Zillow lead generation** — Build segmented email lists for outreach campaigns
- 📣 **Real estate email list building** — Gather property owner contact extraction signals from Zillow
- 🤝 **CRM enrichment** — Append emails to existing records for better conversion rates
- 🔬 **Market research** — Compare niches and roles across regions using your keyword + location filters
- 📊 **Property search automation** — Speed up contact database building without manual browsing
- ⚙️ **Email extraction software workflow** — Feed Zillow data scraping results into downstream automation

***

#### Input Parameters — Zillow Email Scraper

Example input:

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

| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| `keywords` | Array | ✅ Yes | — | A list of keywords or queries to search for on Zillow |
| `location` | String | No | `""` | Location to filter search results (e.g., city or region) |
| `customDomains` | Array | No | `["@gmail.com","@yahoo.com"]` | List of custom email domains to restrict extracted emails |
| `maxEmails` | Integer | No | `20` | Maximum number of emails to collect (the actor stops once this limit is reached) |

***

#### Output Parameters — Zillow Email Scraper

Example dataset record:

```json
{
  "keyword": "manager",
  "title": "Alex Rivera",
  "description": "Creative Director at Studio Co. | Available for freelance",
  "url": "https://www.zillow.com/homedetails/1234-Sunset-Blvd-Los-Angeles-CA-90026/12345678_zpid/",
  "email": "alex@studioco.com"
}
```

| Field | Label | Format | Description |
|---|---|---|---|
| `keyword` | Keyword | text | The keyword that surfaced this result |
| `title` | Title | text | Profile name or business title associated with the result |
| `description` | Description | text | Description or summary text captured with the result |
| `url` | Url | link | Direct link to the Zillow profile/result page |
| `email` | Email | text | The extracted public email address |

***

### Why Choose This Zillow Email Scraper? 🏆

Zillow Email Scraper is a practical choice when you need a Zillow email scraper that delivers structured outputs for real estate contact scraping and CRM lead enrichment. You control quality and volume using keywords, `customDomains`, and `maxEmails`. It also includes built-in proxy support for more reliable large-scale runs and saves results to your dataset incrementally—helping you move from “searching” to “using leads” faster. If you prefer pay-per-result style workflows, this actor can be cost-efficient compared to fixed subscriptions. For help or custom needs, reach out via <scrapidocontact@gmail.com>.

***

### How Many Results Can You Scrape? 📈

You can set `maxEmails` from 1 up to 10,000. Actual output depends on how many Zillow profiles match your keywords and filters and how often emails are publicly available. Bigger searches or higher limits can take longer, so it’s best to start with a focused keyword set and tight domain filters, then expand as needed for Zillow data scraping and bulk email collection.

***

### Legal Guidelines for Scraping Zillow ⚖️

Zillow Email Scraper extracts information from publicly available Zillow pages. It does not access private data behind authentication. It’s your responsibility to comply with Zillow’s Terms of Service and applicable privacy and anti-spam regulations (including GDPR/CCPA where relevant). Use the exported contact data for legitimate business purposes only. Data removal requests: <scrapidocontact@gmail.com>.

***

### FAQ — Zillow Email Scraper ❓

#### How does the Zillow Email Scraper identify data?

Zillow Email Scraper uses the keywords and optional filters you provide to find relevant Zillow results, then extracts public email addresses and the associated lead context that’s available on those pages.

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

You can scrape publicly visible Zillow profile content that exposes contact email addresses and related lead context. If a profile doesn’t have an email available publicly, fewer results are expected for your Zillow lead generation goals.

#### How did the Zillow Email Scraper perform in our tests?

Performance varies by niche and how frequently emails are publicly listed. Using targeted keywords and adding specific domains in `customDomains` typically improves results for property owner contact extraction and real estate email list building.

#### Why scrape Zillow for contacts?

Zillow hosts a large number of property-related professionals and business pages. Automating email extraction with a Zillow email extractor helps you replace slow manual browsing with a structured dataset suitable for CRM lead enrichment and outreach.

#### How much does the Zillow Email Scraper cost?

Pricing on Apify is pay-per-result. Use `maxEmails` to cap output and control run scope precisely so your spend stays predictable.

#### How does the Zillow Email Scraper help my business?

It converts keyword research and web searching into a clean dataset containing emails plus supporting fields like `title`, `description`, and `url`. That makes it easier to build real estate contact scraping pipelines and enrich your CRM faster.

#### What challenges should I expect when using the Zillow Email Scraper?

Not every Zillow result includes a public email address. If you get limited output, try wider or more varied keywords, adjust the `location` filter, and/or expand `customDomains` to increase coverage for Zillow data scraping.

#### How do I choose a high-performing Zillow Email Scraper?

Focus on outcome controls: use meaningful keywords, constrain or expand `customDomains` based on your target email types, and set `maxEmails` to match your campaign needs. Structured output (keyword, title, description, url, email) also makes it easier to validate and import into email workflows.

***

### Conclusion 🏁

The Zillow Email Scraper is a fast, structured way to extract email addresses from Zillow for scalable lead generation. Whether you’re building a real estate email list, enriching your CRM, or starting a new outreach campaign, you can get results efficiently on Apify today.

***

### 🆘 Support & Feedback

Have a question or feature request for the Zillow Email Scraper?

- ✨ **Custom Solutions & Feature Requests:** Email us at <scrapidocontact@gmail.com>

### Multiple Email Types

**Email Types** replaces the old single Audience Type choice: select as many
kinds of mailbox as you want and the run chases all of them together.

| Type | What it matches |
| --- | --- |
| Personal / free webmail | Gmail, Outlook, Yahoo, iCloud, AOL, Proton, ... |
| Business / corporate | Company domains - free webmail and institutions excluded |
| Education (.edu / .ac) | `.edu`, `.ac.uk`, `.edu.au`, `.ac.in` and other academic suffixes |
| Government (.gov / .mil) | `.gov`, `.mil`, `.gov.uk`, `.gc.ca`, ... |
| Non-profit (.org) | `.org`, `.ngo`, `.org.uk`, ... |

Each selected type contributes its own Google dork patterns *and* its own domain
test, so a result is only kept if it genuinely belongs to the type that found
it. Every row carries an `emailType` field recording which one that was.

Suffixes are matched as real domain suffixes, so `cs.mit.edu` counts as
Education while `notedu.com` does not.

Setting **Custom Email Domains** still overrides everything: an explicit domain
list is a manual override and replaces the type-driven patterns. The legacy
`audienceType` value is still accepted, so saved inputs keep working.

# Actor input Schema

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

A list of keywords or queries to search for.

## `audienceType` (type: `string`):

Business Emails runs contextual discovery patterns tuned for company contact pages ("email us at", "contact@", careers, bookings, ...) and filters out consumer webmail domains. Consumer Emails instead searches gmail.com, yahoo.com, outlook.com, hotmail.com and icloud.com directly.

## `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.

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

Optional manual override — provide specific email domains to search for (e.g. @hubspot.com) instead of using Audience Type. Leave empty to use Audience Type.

## `emailTypes` (type: `array`):

Which kinds of mailbox to hunt for. Pick as many as you like - each type contributes its own set of Google search patterns and its own domain filter, and every result records the type it was found as. Personal = free webmail (Gmail, Outlook, Yahoo, iCloud). Business = company domains, excluding free webmail and institutions. Education = .edu / .ac.uk and friends. Government = .gov / .mil. Non-profit = .org.

## Actor input object example

```json
{
  "keywords": [
    "manager",
    "founder"
  ],
  "audienceType": "Consumer Emails",
  "maxEmails": 20,
  "customDomains": [],
  "emailTypes": [
    "Personal",
    "Business"
  ]
}
```

# 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"
    ],
    "customDomains": [],
    "emailTypes": [
        "Personal",
        "Business"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapido/zillow-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": [
        "manager",
        "founder",
    ],
    "customDomains": [],
    "emailTypes": [
        "Personal",
        "Business",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("scrapido/zillow-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": [
    "manager",
    "founder"
  ],
  "customDomains": [],
  "emailTypes": [
    "Personal",
    "Business"
  ]
}' |
apify call scrapido/zillow-email-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapido/zillow-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/Xj88oS3pqo6s6xJFP/builds/67yoc8Pxdf30dsW9E/openapi.json