# Zillow Email Scraper (`solid-scraper/zillow-email-scraper`) Actor 🏡 Zillow Email Scraper extracts targeted property & real estate leads with emails for faster outreach. ✅ Ideal for agents, investors, and marketing teams to build verified lists and boost conversion—efficient, accurate, and easy to use! 🚀 - **URL**: https://apify.com/solid-scraper/zillow-email-scraper.md - **Developed by:** [SolidScraper](https://apify.com/solid-scraper) (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 $2.99 / 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/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 scrapes emails from Zillow using your chosen keywords and email-domain filters. If you’re searching for a **zillow email scraper**, a **zillow leads scraper**, or a **zillow property email extractor** to quickly build outreach lists, this actor helps you find relevant email contacts from publicly available Zillow bios and pages related to your keywords—saving you hours of manual work. Whether you’re a marketer, researcher, or data analyst, Zillow Email Scraper can help you automate email harvesting using **zillow email list scraper** workflows with structured results you can export and use downstream. --- ### Why choose Zillow Email Scraper? | Feature | Benefit | | --- | --- | | ✅ **Keyword-based collection** | Uses your `keywords` to focus email harvesting on the most relevant Zillow bios and pages | | ✅ **Custom email domains** | Targets results using `customDomains` like `@gmail.com` to increase list quality | | ✅ **Engine choice for reliability** | Pick between **Cost Effective (New)** and **Legacy** for different speed/reliability needs | | ✅ **Proxy configuration support** | Works with your provided `proxyConfiguration` to improve scraping resilience | | ✅ **Structured dataset output** | Returns consistent fields like `email`, `title`, `url`, `keyword`, and `description` for easy exporting | | ✅ **Scale with a hard cap** | Uses `maxEmails` to stop once your limit is reached, helping control runtime and cost | --- ### Key features - 🎯 **Keyword-driven targeting**: Uses your `keywords` to pull email candidates connected to those terms on Zillow. - 📧 **Email-domain filtering with `customDomains`**: Extracts only emails matching your allowed domains (for example, `@gmail.com`). - 🛡️ **Resilient scraping with retries and fallbacks**: Includes retry behavior and resilient handling when results are delayed or blocked. - 🌐 **Structured contact records**: Each discovered email is pushed as a row with the Zillow network, keyword context, and source URL. - 💾 **Progress persistence during long runs**: Saves progress as it goes so reruns can continue more safely. - ⚙️ **Engine selection (Cost Effective vs Legacy)**: Choose between the available engine modes for different performance and reliability tradeoffs. - 🤖 **Automated bulk harvesting**: Designed to collect many emails in one run using pagination until stopping conditions are met. - 📊 **Dataset-ready output**: Results include fields like `proxyGroups` so you can keep track of the scraping context. --- ### Input Provide input via an `input.json` file. Example structure: ```json { "keywords": ["founder", "marketing"], "location": "", "platform": "Zillow", "customDomains": ["@gmail.com"], "maxEmails": 20, "engine": "legacy", "proxyConfiguration": {} } ```` #### Input Fields | Field | Required | Description | | --- | --- | --- | | `keywords` | Yes | A list of keywords to search for. The scraper uses these to find relevant Zillow bios and pages related to your terms. | | `location` | No | Location to filter search results. Leave it empty for no location filtering. | | `platform` | No | Select platform. This actor supports `Zillow` and defaults to `Zillow`. | | `customDomains` | No | List of custom email domains to target (for example `@gmail.com`). Helps you focus results on specific inbox providers. | | `maxEmails` | No | Maximum number of emails to collect. The scraper stops once this limit is reached (higher limits can take longer and don’t guarantee reaching the limit). | | `engine` | No | Choose scraping engine: `cost-effective` (Cost Effective (New)) or `legacy` (Legacy). Defaults to `legacy`. | | `proxyConfiguration` | No | Configure proxies for this Actor. Use this if you want to control how proxying is handled during the run. | *** ### Output After execution, the actor pushes each discovered email as a dataset row in JSON format. Sample output (single row shape): ```json { "network": "Zillow.com", "keyword": "founder", "title": "No title", "description": "No data", "url": "https://example.com/", "email": "person@gmail.com", "proxyGroups": [] } ``` #### Output Fields | Field | Type | Description | | --- | --- | --- | | `network` | string | The source network label used by this actor (`Zillow.com`). | | `keyword` | string | The keyword that led to this email being found. | | `title` | string | Title of the result where the email was extracted. | | `description` | string | Description/snippet text associated with the result. | | `url` | string | The source URL for the result from which the email was extracted. | | `email` | string | The extracted email address. | | `proxyGroups` | array | Proxy group information used during the run (as provided by the actor). | At the end of the run, you can open the dataset in the Apify Console and export it (for example, to JSON or CSV) for further analysis and lead generation workflows. *** ### How to use Zillow Email Scraper (via Apify Console) 1. **Open Apify Console**\ Go to [console.apify.com](https://console.apify.com) and sign in. 2. **Find the actor**\ Search for **Zillow Email Scraper** and open the actor page. 3. **Configure Input**\ In the **INPUT** section, set at least `keywords` (required).\ If you want domain-targeted results, add `customDomains` like `["@gmail.com"]`. 4. **Choose an engine (optional)**\ Use `engine` to select either `cost-effective` (Cost Effective (New)) or `legacy` (Legacy). The default is `legacy`. 5. **Set a limit (recommended)**\ If you don’t want unlimited collection, set `maxEmails` to control how many emails the actor will collect before stopping. 6. **(Optional) Configure proxies**\ If you already have proxy preferences, adjust `proxyConfiguration` to match your environment. 7. **Run the actor**\ Click **Run**. Monitor logs for progress, retries, and when the actor stops due to `maxEmails` or result-ending conditions. 8. **Review results in the dataset**\ When the run completes, open the **DATASET** output to view the extracted emails and export the data for your CRM, outreach tooling, or analysis. No coding required—get structured Zillow email results in minutes with Zillow Email Scraper ✅ *** ### Advanced features & SEO optimization - 🔎 **Engineered keyword intent for “zillow email scraper” workflows**: Designed to excel at zillow leads scraper and zillow email harvesting tool use cases where you want contact emails tied to specific business themes. - 🎯 **Targeted extraction with `customDomains`**: Using zillow property email extractor filtering improves match quality for outreach campaigns. - 🔄 **Resilient execution**: Includes retries and fallbacks for reliability when access conditions change, helping your zillow agent email scraper runs complete successfully more often. - 💾 **Progress persistence**: Long runs are safer because progress is saved during data collection. - 🧰 **Dataset-first output**: The actor pushes consistent rows, making it easy to plug into zillow database email scraper pipelines. *** ### Best use cases - 📈 **Lead generation for real estate teams**: Build a Zillow agent email scraper dataset for outreach campaigns targeted by keyword themes. - 🏢 **Brand partnerships & marketing**: Use zillow email list scraper results to contact founders and marketing leads connected to your niche. - 🔬 **Market research at scale**: Analyze patterns across Zillow contact emails and keywords to inform segmentation and messaging. - ✉️ **Cold email operations**: Quickly assemble a focused list for follow-ups, with `customDomains` to control the inbox types you prioritize. - 🧾 **CRM enrichment pipelines**: Automate ingestion of extracted contact emails into your workflow so analysts and ops teams spend less time on manual collection. - 🧠 **Data analysis & reporting**: Measure how different keywords correlate with email availability and source pages over time. - 🧰 **B2B outreach for service providers**: Use the structured output fields to match emails with titles, descriptions, and URLs for context. *** ### Technical specifications #### Supported Input Formats - ✅ `keywords` as an array (required) - ✅ `location` as a string - ✅ `platform` enum with `Zillow` - ✅ `customDomains` as an array of email domains - ✅ `maxEmails` as an integer (min `1`, max `10000`) - ✅ `engine` as `cost-effective` or `legacy` - ✅ `proxyConfiguration` as an object (Apify proxy editor support) #### Proxy Support - ✅ `proxyConfiguration` supported via Apify’s proxy configuration editor - ✅ Engine selection supports different scraping approaches as described in input options #### Retry Mechanism - ✅ Includes retries and fallbacks when pages don’t return results reliably #### Dataset Structure - ✅ Each extracted email is pushed with: `network`, `keyword`, `title`, `description`, `url`, `email`, `proxyGroups` #### Rate Limits & Performance - ✅ Pagination continues until results stop or `maxEmails` is reached - ✅ Large searches or high email limits may take longer, and you can increase the run timeout in **Run Options** as needed #### Limitations - ❌ Emails are only extracted from publicly available sources and only when present in the accessible content the actor processes - ❌ Higher `maxEmails` doesn’t guarantee you’ll reach that exact number—availability depends on what’s findable for your keywords and domain filters *** ### FAQ #### Does Zillow Email Scraper require login or an API key? ✅ Zillow Email Scraper runs inside Apify Console and is configured entirely through actor input fields. You provide `keywords` (required) and optional settings like `customDomains`, `maxEmails`, `engine`, and `proxyConfiguration`. #### What does Zillow Email Scraper extract emails from? ✅ It finds emails from Zillow bios and posts related to your keywords, then filters them using your provided `customDomains`. #### How do I get better results with a zillow email scraper? ✅ Use more specific `keywords` and include the right `customDomains` for the inbox types you want (for example, `@gmail.com`). If results seem low, re-run with broader or more related keywords and additional domains. #### Can I limit how many emails are collected? ✅ Yes. Use `maxEmails` to set a maximum. The actor stops once that limit is reached. #### Which engine should I choose: cost-effective or legacy? ✅ `engine` lets you choose between `cost-effective` (Cost Effective (New)) and `legacy` (Legacy). If you want a different tradeoff between speed and reliability, pick the one that matches your run priorities. #### What is included in the dataset output? ✅ Each dataset row includes `network`, `keyword`, `title`, `description`, `url`, `email`, and `proxyGroups`, giving you enough context to review and export for lead generation or analysis. #### How can I export results? ✅ Open the dataset in Apify Console after the run completes, then export to the format you need (JSON/CSV are commonly used). #### Is this actor compliant with privacy rules? ✅ This actor collects information only from publicly accessible sources. Legal compliance (including GDPR/CCPA responsibilities, spam regulations, and platform terms) is your responsibility. *** ### Support & feature requests Want to improve your Zillow Email Scraper runs? Tell us what you need—your feedback helps shape the roadmap. - 💡 **Feature Requests**: For example, enhancements like CSV export, expanded output fields, or custom email filtering improvements. - 📧 **Contact**: Reach us at . Thanks for using Zillow Email Scraper—let’s make it even better together. *** *If you’re looking for an SEO-optimized zillow email scraper that turns keyword research into usable outreach data, Zillow Email Scraper is a fast, dataset-first option.* # Actor input Schema ## `keywords` (type: `array`): A list of keywords to search for. ## `location` (type: `string`): Location to filter search results. ## `platform` (type: `string`): Select platform. ## `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. ## `engine` (type: `string`): Choose scraping engine. 🚀 Cost Effective (New): Uses residential proxies with async requests for faster, cheaper scraping. 🔧 Legacy: Uses GOOGLE\_SERP proxy with traditional selectors - more reliable but slower and more expensive. ## `proxyConfiguration` (type: `object`): Configure proxies for this Actor. ## Actor input object example ```json { "keywords": [ "founder", "marketing" ], "location": "", "platform": "Zillow", "customDomains": [ "@gmail.com" ], "maxEmails": 20, "engine": "legacy" } ``` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keywords": [ "founder", "marketing" ], "location": "", "customDomains": [ "@gmail.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("solid-scraper/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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "keywords": [ "founder", "marketing", ], "location": "", "customDomains": ["@gmail.com"], } # Run the Actor and wait for it to finish run = client.actor("solid-scraper/zillow-email-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).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": [ "founder", "marketing" ], "location": "", "customDomains": [ "@gmail.com" ] }' | apify call solid-scraper/zillow-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=solid-scraper/zillow-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Zillow Email Scraper", "description": "🏡 Zillow Email Scraper extracts targeted property & real estate leads with emails for faster outreach. ✅ Ideal for agents, investors, and marketing teams to build verified lists and boost conversion—efficient, accurate, and easy to use! 🚀", "version": "0.0", "x-build-id": "Ksu09a62UMOgRbxJB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/solid-scraper~zillow-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-solid-scraper-zillow-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/solid-scraper~zillow-email-scraper/runs": { "post": { "operationId": "runs-sync-solid-scraper-zillow-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/solid-scraper~zillow-email-scraper/run-sync": { "post": { "operationId": "run-sync-solid-scraper-zillow-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "keywords" ], "properties": { "keywords": { "title": "Keywords", "type": "array", "description": "A list of keywords to search for.", "default": [ "founder", "marketing" ], "items": { "type": "string" } }, "location": { "title": "Location", "type": "string", "description": "Location to filter search results.", "default": "" }, "platform": { "title": "Platform", "enum": [ "Zillow" ], "type": "string", "description": "Select platform.", "default": "Zillow" }, "customDomains": { "title": "Custom Email Domains", "type": "array", "description": "List of custom email domains", "default": [ "@gmail.com" ], "items": { "type": "string" } }, "maxEmails": { "title": "Max Emails", "minimum": 1, "maximum": 10000, "type": "integer", "description": "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.", "default": 20 }, "engine": { "title": "Engine", "enum": [ "cost-effective", "legacy" ], "type": "string", "description": "Choose scraping engine. 🚀 Cost Effective (New): Uses residential proxies with async requests for faster, cheaper scraping. 🔧 Legacy: Uses GOOGLE_SERP proxy with traditional selectors - more reliable but slower and more expensive.", "default": "legacy" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Configure proxies for this Actor." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```