# Realtor.com Property & Agent Scraper — Emails & Phones (`juramoshkov/realtor-property-agent-scraper`) Actor Scrape Realtor.com listings with agent contact data — email, phone, brokerage, price, beds, taxes, price history. By ZIP, property ID, or URL. No API key. - **URL**: https://apify.com/juramoshkov/realtor-property-agent-scraper.md - **Developed by:** [Jura Moshkov](https://apify.com/juramoshkov) (community) - **Categories:** Real estate, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $45.00 / 1,000 enriched listings 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Realtor.com Property & Agent Scraper — Emails & Phones **Realtor.com scraper for real estate agent leads.** Extract Realtor.com property listings **plus the listing agent's email, phone, and brokerage** in one enriched row per property — ready for lead generation, agent prospecting, and CRM enrichment. Search by ZIP code, property ID, or a Realtor.com URL. No browser automation, **no run-start fee**, and you pay only for successfully enriched results. This real estate scraper turns Realtor.com into a clean lead database: property data (price, beds, baths, taxes, price history, photos) **and** contactable real estate agents (agent email, agent phone, broker) in the same export — CSV, JSON, or Excel. ### ✨ Why this Realtor.com scraper - 📇 **Agent contact in every row** — agent email, cell/office phone, brokerage, license — not just property data. - 🏠 **40+ property fields** — price, beds/baths, sqft, lot, year built, HOA, tax, estimate, days on market, price history, photos, schools, geo. - 🔎 **3 input modes** — ZIP search, property-ID enrichment, or paste a Realtor.com search URL. - 💸 **Pay only for results** — no run-start fee; charged per successfully enriched property. - 📤 **CRM-ready export** — flat rows to CSV / JSON / Excel, or straight into your workflow via Apify integrations. - ⚡ **Fast & reliable** — clean structured data with automatic retries, so your runs finish without breaking. ### Input modes | Mode | Use it to | Requires | |---|---|---| | `zipSearch` | Discover all listings + agents in a ZIP code (main mode) | `zipCodes` | | `propertyIds` | Enrich a known list of Realtor.com property IDs | `propertyIds` | | `url` | Scrape any Realtor.com search/listing URL you paste | `startUrls` | ### Use cases - **Real estate lead generation** — build lists of contactable listing agents by ZIP, city, or state. - **Agent prospecting & recruiting** — reach agents with their email, phone, brokerage, and live listing context. - **Real estate market research** — price, location, property type, and days-on-market analysis at scale. - **CRM & spreadsheet enrichment** — push Realtor.com property and agent data into your sales stack. ### Input **Search by ZIP code** (main mode): ```json { "mode": "zipSearch", "zipCodes": ["78704"], "listingStatus": "forSale", "minPrice": 300000, "maxPrice": 900000, "beds": 3, "maxResults": 100 } ```` **Enrich known property IDs:** ```json { "mode": "propertyIds", "propertyIds": ["1234567890", "9876543210"], "maxResults": 2 } ``` **Scrape a Realtor.com URL:** ```json { "mode": "url", "startUrls": ["https://www.realtor.com/realestateandhomes-search/78704"], "listingStatus": "forSale", "maxResults": 100 } ``` ### Output One flat row per property. **Property fields:** | Field | Type | Description | |---|---|---| | `propertyId` | string | Realtor.com property / listing ID. | | `url` | string | Listing URL. | | `status` | string | Listing status (e.g. `for_sale`). | | `price` | number | Listing price. | | `currency` | string | Currency, usually USD. | | `beds` | number | Bedrooms. | | `baths` | number | Bathrooms. | | `sqft` | number | Interior square footage. | | `lotSqft` | number | Lot size in square feet. | | `yearBuilt` | number | Year built. | | `propertyType` | string | Property type. | | `streetAddress` / `city` / `state` / `zip` | string | Address parts. | | `latitude` / `longitude` | number | Coordinates. | | `hoaFee` | number | HOA fee when available. | | `propertyTax` | number | Property tax when available. | | `estimateValue` | number | Estimated value when available. | | `rentEstimate` | number | Rent estimate when available. | | `daysOnMarket` | number | Days on market. | | `priceHistory` | array | Price history entries `{date, price, event}`. | | `photoUrls` | array | Listing photo URLs. | | `schools` | array | Nearby schools when available. | | `listedDate` | string | Listing date (ISO). | **Agent / lead fields:** | Field | Type | Description | |---|---|---| | `agentName` | string | Listing agent name. | | `agentEmail` | string | Agent email. **Masked on the free tier.** | | `agentEmailMasked` | boolean | Whether `agentEmail` is masked. | | `agentPhone` | string | Agent office phone. | | `agentCellPhone` | string | Agent cell phone. | | `agentLicenseNumber` | string | Agent license / NRDS ID. | | `brokerName` | string | Brokerage name. | | `brokerPhone` | string | Brokerage phone. | | `agentProfileUrl` | string | Agent profile URL. | | `agentEmailSource` | string | How the email was resolved. | **Meta:** `mode`, `searchZip`, `sourceUrl`, `scrapedAt` (ISO), `error` (null on success). **Example row:** ```json { "mode": "zipSearch", "propertyId": "8760921655", "url": "https://www.realtor.com/realestateandhomes-detail/2009-Fortview-Rd_Austin_TX_78704_M87609-21655", "status": "for_sale", "price": 365000, "currency": "USD", "beds": 3, "baths": 2, "sqft": 1128, "streetAddress": "2009 Fortview Rd", "city": "Austin", "state": "TX", "zip": "78704", "agentName": "Rosie Hayer", "agentEmail": "rosie@512hayergroup.com", "agentEmailMasked": false, "agentPhone": "5128433374", "brokerName": "Rivet Real Estate", "searchZip": "78704", "scrapedAt": "2026-07-17T09:00:00.000Z", "error": null } ``` ### Pricing **No run-start fee. You are charged only for successfully enriched properties.** | Apify plan | Price per enriched property | Agent email | |---|---|---| | Free | $0.07 | Masked (`j***@e***.com`) | | Bronze | $0.06 | Full | | Silver | $0.05 | Full | | Gold | $0.045 | Full | | Platinum | $0.04 | Full | | Diamond | $0.04 | Full | Free runs are capped at 15 enriched properties and mask the agent email. Phones, license, brokerage, and all property data are always returned. Upgrade your Apify plan for full agent emails and uncapped runs. **Example:** 500 real estate agent leads on the Bronze plan ≈ 500 × $0.06 = **$30**. ### Scheduling & integrations Run it on a **schedule** (daily new-listing pulls per ZIP), or connect the dataset to Google Sheets, HubSpot, Make, Zapier, and webhooks through Apify integrations to keep your real estate lead list fresh automatically. ### FAQ #### Does it include agent email? Yes — the agent email is included in the enriched row when available. Free-tier runs mask the email (`j***@e***.com`); any paid Apify plan returns the full email. #### How do I get real estate agent leads by ZIP code? Use `zipSearch` mode with one or more `zipCodes`. Each search returns listings with the agent's name, email, phone, and brokerage attached. #### How much does it cost to scrape Realtor.com? You pay only per successfully enriched property — no run-start fee. For example, 500 agent leads on the Bronze plan is about $30 ($0.06 each). Free-plan runs are capped at 15 and mask the agent email. #### Do I need an API key? No. Just set your input and run — the actor handles everything. #### How many results can I get per run? Set `maxResults` (up to 1000). Add more ZIP codes to widen coverage. #### How is this different from a Zillow scraper? It targets **Realtor.com** and combines property listing data with the listing agent's contact details in the same row — built for lead generation, not just property data. #### Can I export the leads to CSV or Google Sheets? Yes. The dataset exports to CSV, JSON, and Excel, and connects to Google Sheets, CRMs, and webhooks via Apify integrations. #### How fresh is the data? Each run fetches live listings at run time. Schedule the actor to refresh your list daily or weekly. #### Is scraping Realtor.com legal? The actor returns publicly available listing data. You are responsible for using exported data in compliance with applicable laws, platform terms, and outreach/marketing rules (e.g. consent for cold outreach). ### Coverage United States listings only. # Actor input Schema ## `mode` (type: `string`): What to scrape. ## `zipCodes` (type: `array`): US ZIP codes to search in zipSearch mode. ## `propertyIds` (type: `array`): Realtor.com property\_id list for propertyIds mode. ## `startUrls` (type: `array`): Realtor.com search or listing URLs for url mode. ## `listingStatus` (type: `string`): Which listings to return: for sale, for rent, or sold. ## `maxResults` (type: `integer`): Max enriched properties per run. ## `minPrice` (type: `integer`): Only return listings priced at or above this amount (USD). ## `maxPrice` (type: `integer`): Only return listings priced at or below this amount (USD). ## `beds` (type: `integer`): Only return listings with at least this many bedrooms. ## `baths` (type: `integer`): Only return listings with at least this many bathrooms. ## `requestDelayMs` (type: `integer`): Delay in milliseconds between requests. Increase for very large runs. ## Actor input object example ```json { "mode": "zipSearch", "zipCodes": [ "78704" ], "listingStatus": "forSale", "maxResults": 100, "requestDelayMs": 400 } ``` # Actor output Schema ## `results` (type: `string`): No description ## `resultsCsv` (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 = { "zipCodes": [ "78704" ] }; // Run the Actor and wait for it to finish const run = await client.actor("juramoshkov/realtor-property-agent-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 = { "zipCodes": ["78704"] } # Run the Actor and wait for it to finish run = client.actor("juramoshkov/realtor-property-agent-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 '{ "zipCodes": [ "78704" ] }' | apify call juramoshkov/realtor-property-agent-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=juramoshkov/realtor-property-agent-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Realtor.com Property & Agent Scraper — Emails & Phones", "description": "Scrape Realtor.com listings with agent contact data — email, phone, brokerage, price, beds, taxes, price history. By ZIP, property ID, or URL. No API key.", "version": "0.1", "x-build-id": "8bgvpeEnBd2O9W8t2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/juramoshkov~realtor-property-agent-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-juramoshkov-realtor-property-agent-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/juramoshkov~realtor-property-agent-scraper/runs": { "post": { "operationId": "runs-sync-juramoshkov-realtor-property-agent-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/juramoshkov~realtor-property-agent-scraper/run-sync": { "post": { "operationId": "run-sync-juramoshkov-realtor-property-agent-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "zipSearch", "propertyIds", "url" ], "type": "string", "description": "What to scrape.", "default": "zipSearch" }, "zipCodes": { "title": "ZIP codes", "type": "array", "description": "US ZIP codes to search in zipSearch mode.", "items": { "type": "string" } }, "propertyIds": { "title": "Property IDs", "type": "array", "description": "Realtor.com property_id list for propertyIds mode.", "items": { "type": "string" } }, "startUrls": { "title": "Realtor.com URLs", "type": "array", "description": "Realtor.com search or listing URLs for url mode.", "items": { "type": "string" } }, "listingStatus": { "title": "Listing status", "enum": [ "forSale", "forRent", "sold" ], "type": "string", "description": "Which listings to return: for sale, for rent, or sold.", "default": "forSale" }, "maxResults": { "title": "Max properties", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Max enriched properties per run.", "default": 100 }, "minPrice": { "title": "Min price", "minimum": 0, "type": "integer", "description": "Only return listings priced at or above this amount (USD)." }, "maxPrice": { "title": "Max price", "minimum": 0, "type": "integer", "description": "Only return listings priced at or below this amount (USD)." }, "beds": { "title": "Min beds", "minimum": 0, "type": "integer", "description": "Only return listings with at least this many bedrooms." }, "baths": { "title": "Min baths", "minimum": 0, "type": "integer", "description": "Only return listings with at least this many bathrooms." }, "requestDelayMs": { "title": "Request delay (ms)", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Delay in milliseconds between requests. Increase for very large runs.", "default": 400 } } }, "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 } } } } } } } } } } ```