# Real Estate Emails Scraper - Low-costπŸ’²πŸ”₯πŸ‘πŸ“§ (`delectable_incubator/real-estate-emails-scraper-low-cost`) Actor πŸ” Extract real estate agent and agency emails using custom search parameters. Collect verified emails, contact names, property titles, listing snippets, company details, source URLs, and platform data. Ideal for real estate lead generation, B2B prospecting and market intelligence. πŸ‘πŸ“Š - **URL**: https://apify.com/delectable\_incubator/real-estate-emails-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Lead generation, Real estate, Agents - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start 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/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

Real Estate Email Scraper

--- ## πŸ‘πŸ“§ Real Estate Email Scraper | Bulk Real Estate Email Extractor | Apify Actor ### πŸš€ Extract Real Estate Emails in Seconds (No Code) The **Real Estate Email Scraper** is a powerful, scalable, and SEO-optimized **Apify Actor** designed to extract verified real estate emails and structured lead data from the world's leading property portals. Whether you're generating leads, building CRM databases, promoting real estate services, creating AI datasets, or conducting property market research, this scraper delivers clean, export-ready datasets with no coding required. --- ## πŸ”₯ Why This Real Estate Email Scraper? βœ” Best Real Estate Email Scraper on Apify βœ” Supports **Bulk Keyword Scraping** (multi-search) βœ” Extract verified real estate emails βœ” Supports dozens of global property websites βœ” High-speed extraction engine βœ” Clean structured JSON / CSV / Excel output βœ” Perfect for lead generation & AI datasets βœ” Enterprise-ready scalability βœ” No coding required --- ## 🎯 What This Scraper Does This Apify Actor searches major real estate platforms and extracts publicly available contact information associated with listings, agencies, brokers and property professionals. #### πŸ“Œ Core Features βœ… Bulk keyword scraping (SEO BOOST πŸš€) βœ… Search multiple real estate niches at once βœ… Extract verified email addresses βœ… Extract listing titles & descriptions βœ… Extract property URLs βœ… Extract email domains βœ… Filter by email domains βœ… Multi-platform support βœ… Structured export-ready datasets βœ… High-speed cloud execution --- ## ⚑ Input Configuration ### πŸ”₯ BULK KEYWORD MODE (SEO BOOST πŸš€) ```` { "keywords": \[ "luxury villas dubai", "apartments paris", "houses for sale london", "commercial property new york", "beachfront condos miami", "real estate agents california", "office space singapore", "investment property berlin", "apartments madrid", "villas bali" ], "domain\_emails": \[ "@gmail.com", "@remax.com", "@kw.com", "@compass.com" ], "platform": "All", "max\_items": 200 } ``` --- ## πŸ“Š Extracted Data | Field | Description | | ------------- | -------------------------------------- | | title | Listing or company title | | url | Direct listing or profile URL | | snippet | Listing description or profile summary | | email | Extracted email address | | email_domain | Email domain | | platform | Source platform | | displayed_url | Display URL | --- ## 🌍 Supported Platforms Works across many of the world's largest real estate websites, including: 🏑 Zillow 🏑 Realtor 🏑 Trulia 🏑 Redfin 🏑 LoopNet 🏑 Apartments.com 🏑 RE/MAX 🏑 Century21 🏑 Coldwell Banker 🏑 Keller Williams 🏑 Compass 🏑 Rightmove 🏑 Zoopla 🏑 OnTheMarket 🏑 Idealista 🏑 Fotocasa 🏑 ImmoScout24 🏑 Immoweb 🏑 SeLoger 🏑 Leboncoin 🏑 Daft 🏑 Funda 🏑 Immonet 🏑 Immobiliare 🏑 Green-Acres 🏑 Domain 🏑 RealEstate.com.au 🏑 Property24 🏑 PrivateProperty 🏑 MagicBricks 🏑 99acres 🏑 Housing.com 🏑 Zameen 🏑 Bayut 🏑 Property Finder ...and many more. --- ## πŸ’‘ Use Cases Perfect for: πŸ“§ Real estate lead generation 🏑 Property agency prospecting πŸ“Š Market intelligence πŸ€– AI training datasets πŸ“ˆ Property market research πŸ’Ό CRM enrichment πŸ“£ Real estate marketing 🌍 Global broker databases 🏒 Commercial real estate research --- ## πŸš€ Key Features ⚑ Bulk keyword scraping πŸ“§ Email extraction 🏑 Multi-platform support πŸ“Œ Email domain filtering πŸ“Š Structured datasets πŸ’Ύ JSON / CSV / Excel exports βš™οΈ Cloud execution πŸ” Stable extraction engine πŸš€ High-speed scraping --- ## πŸ“€ Output Formats βœ” JSON βœ” CSV βœ” Excel (XLSX) βœ” XML βœ” HTML --- ## πŸ“¦ Example Output ``` { "title": "Luxury Waterfront Villa in Palm Jumeirah", "url": "https://propertyfinder.ae/en/agent/john-doe", "snippet": "Premium Dubai waterfront specialist.", "email": "john.doe@remax.com", "email\_domain": "remax.com", "platform": "PropertyFinder", "displayed\_url": "propertyfinder.ae β€Ί agent β€Ί john-doe" } ```` --- ## πŸ”₯ Why This is the BEST Real Estate Email Scraper on Apify? βœ” Optimized for Apify search ranking βœ” Bulk keyword support (rare feature) βœ” Extracts verified public email addresses βœ” Supports major global real estate platforms βœ” Enterprise-ready architecture βœ” High-speed scraping engine βœ” Clean structured output βœ” Perfect for lead generation & AI datasets --- ## πŸ’Έ Pricing This scraper uses a **pay-per-result** pricing model. You are only charged for successfully extracted records. πŸ’³ **$9.99 / 1,000 results**Β΅ --- ## ❓ FAQ #### Can I scrape multiple keywords at once? Yes. Bulk Keyword Mode is fully supported. #### Can I search multiple property niches? Yes. Simply add multiple keywords. #### Can I filter email domains? Yes. Use **domain_emails** to target specific domains. #### Can I scrape different platforms? Yes. You can target one platform or multiple supported websites. #### Can I export the data? Yes. Supported formats include: * JSON * CSV * Excel * XML * HTML #### Is coding required? No. Everything runs directly on Apify with no coding. --- ## ⚠️ Disclaimer This scraper is an independent automation tool and is **not affiliated with, endorsed by, or sponsored by Zillow, Realtor, Rightmove, Property Finder, Bayut, RE/MAX, Compass, or any other supported platform.** --- ## πŸ”— Related Actors We are building the complete **PrimeScrape Real Estate Intelligence Suite**. More real estate scraping tools coming soon πŸš€ --- ## 🌍 PrimeScrape Ecosystem Built for large-scale data extraction, automation, AI datasets, market intelligence, and lead generation. πŸ“§ Email extraction 🏑 Property intelligence 🏒 Agency databases πŸ“ˆ Market research πŸ€– AI datasets βš™οΈ Automation pipelines 🌐 Cloud scraping infrastructure --- ## πŸ“¬ Support ⭐⭐⭐⭐⭐ If you enjoy this scraper, please leave a 5-star review. πŸ“© Need custom scraping solutions or enterprise features? Contact **PrimeScrape** through Apify. # Actor input Schema ## `KEYWORDS` (type: `array`): One or more keywords to search for (e.g. 'real estate agent', 'property manager'). Each keyword is scraped separately. ## `DOMAIN_EMAIL` (type: `array`): List of email domains to search for (e.g. @gmail.com, @remax.com) ## `PLATFORM` (type: `string`): Real estate platform or listing site to search on. Applies to all keywords. ## `MAX_ITEMS` (type: `integer`): Maximum number of emails to extract per keyword. ## Actor input object example ```json { "KEYWORDS": [ "real estate agent" ], "DOMAIN_EMAIL": [ "@gmail.com" ], "PLATFORM": "Zillow", "MAX_ITEMS": 10 } ```` # Actor output Schema ## `overview` (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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "KEYWORDS": [ "real estate agent" ], "DOMAIN_EMAIL": [ "@gmail.com" ], "PLATFORM": "Zillow", "MAX_ITEMS": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/real-estate-emails-scraper-low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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": ["real estate agent"], "DOMAIN_EMAIL": ["@gmail.com"], "PLATFORM": "Zillow", "MAX_ITEMS": 10, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/real-estate-emails-scraper-low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "KEYWORDS": [ "real estate agent" ], "DOMAIN_EMAIL": [ "@gmail.com" ], "PLATFORM": "Zillow", "MAX_ITEMS": 10 }' | apify call delectable_incubator/real-estate-emails-scraper-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/real-estate-emails-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Real Estate Emails Scraper - Low-costπŸ’²πŸ”₯πŸ‘πŸ“§", "description": "πŸ” Extract real estate agent and agency emails using custom search parameters. Collect verified emails, contact names, property titles, listing snippets, company details, source URLs, and platform data. Ideal for real estate lead generation, B2B prospecting and market intelligence. πŸ‘πŸ“Š", "version": "0.0", "x-build-id": "5DIo6VZOgcfcmwS2U" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~real-estate-emails-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-real-estate-emails-scraper-low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~real-estate-emails-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-real-estate-emails-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~real-estate-emails-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-real-estate-emails-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "DOMAIN_EMAIL", "PLATFORM", "MAX_ITEMS" ], "properties": { "KEYWORDS": { "title": "Keywords πŸ”", "type": "array", "description": "One or more keywords to search for (e.g. 'real estate agent', 'property manager'). Each keyword is scraped separately.", "default": [ "real estate agent" ], "items": { "type": "string" } }, "DOMAIN_EMAIL": { "title": "Email Domains", "type": "array", "description": "List of email domains to search for (e.g. @gmail.com, @remax.com)", "default": [ "@gmail.com" ], "items": { "type": "string" } }, "PLATFORM": { "title": "Platform", "enum": [ "Zillow", "Realtor", "Trulia", "Redfin", "LoopNet", "Apartments", "ReMax", "Century21", "ColdwellBanker", "KellerWilliams", "Compass", "ERA", "BerkeleyHathaway", "Sothebys", "HomeSmart", "HowardHanna", "LongAndFoster", "Weichert", "Opendoor", "Offerpad", "HomeFinder", "RealtyOne", "PremierAgent", "Rightmove", "Zoopla", "OnTheMarket", "PrimeLocation", "Gumtree", "PropertyPal", "Domain", "RealEstateAU", "AllHomes", "RealCommercial", "Property24", "PrivateProperty", "PropertyZA", "Meqasa", "Jumia", "MagicBricks", "99Acres", "Housing", "NoBroker", "CommonFloor", "Sulekha", "Leboncoin", "SeLoger", "PAP", "Bienici", "LogicImmo", "Idealista", "Fotocasa", "Habitaclia", "Pisos", "ImmoScout24", "Immonet", "Immowelt", "WgGesucht", "Immoweb", "Zimmo", "Daft", "MyHome", "Bayut", "PropertyFinder", "Zameen", "Dubizzle", "Aqarmap", "Funda", "Pararius", "Immobiliare", "Casa", "Subito", "Idealista_PT", "Imovirtual", "Remax_PT", "OtoDOM", "Gratka", "Imobiliare", "Storia", "Realtor_CA", "ZoocasaCA", "ComFree", "VivaReal", "Zap", "OlxBR", "Lamudi_MX", "Inmuebles24", "Vivanuncios", "GreenAcres", "Lamudi", "Juwai", "Nestoria", "Trovit", "Mitula" ], "type": "string", "description": "Real estate platform or listing site to search on. Applies to all keywords.", "default": "Zillow" }, "MAX_ITEMS": { "title": "Max Items per keyword", "type": "integer", "description": "Maximum number of emails to extract per keyword.", "default": 10 } } }, "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 } } } } } } } } } } ```