# Propwire Leads Scraper (`jungle_synthesizer/propwire-leads-scraper`) Actor Extract US real estate leads from Propwire with 11M+ properties including owner info, equity, MLS data, lead-type flags, and tax records. - **URL**: https://apify.com/jungle\_synthesizer/propwire-leads-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Real estate, Lead generation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 record scrapeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#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. 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 ## Propwire Leads Scraper Extract US real estate leads from **Propwire** — 11M+ properties with owner contact info, equity, mortgage, MLS status, and tax records. Filter by state, city, or ZIP, and target motivated-seller lead types (absentee owner, vacant, pre-foreclosure, high equity, cash buyer). --- ### What you get Each property record contains: | Field | Description | |-------|-------------| | `address` / `city` / `state` / `zip` / `county` | Full property location | | `propertyType` | Single family, condo, multi-family, etc. | | `bedrooms` / `bathrooms` / `squareFeet` / `lotSize` / `yearBuilt` | Property characteristics | | `estimatedValue` | Estimated market value (AVM) | | `lastSalePrice` / `lastSaleDate` | Most recent recorded sale | | `ownerName` | Current owner full name | | `ownerMailingAddress` | Owner mailing address (differs from property for absentee owners) | | `ownerPhone` / `ownerEmail` | Owner contact details, comma-separated | | `estimatedEquity` / `equityPercent` / `mortgageBalance` / `openMortgages` | Equity & mortgage position | | `mlsStatus` / `mlsListingId` / `mlsListPrice` | MLS listing status if actively listed | | `taxAssessedValue` / `annualTax` / `taxYear` | Tax assessment records | | `isAbsenteeOwner` / `isVacant` / `isPreForeclosure` / `isHighEquity` / `isCashBuyer` / `isListed` | Lead-type flags | | `propertyUrl` | Direct link to the Propwire property page | | `scrapedAt` | ISO-8601 timestamp of extraction | --- ### Input | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `state` | string | `TX` | US state abbreviation (e.g. `TX`, `CA`, `FL`). | | `city` | string | — | City name to filter within the state (optional). | | `zip` | string | — | ZIP code to search (overrides state/city when provided). | | `leadTypes` | array | — | Filter by lead-type flags. Leave empty for all leads. | | `maxItems` | integer | `100` | Maximum number of property records to return. | `leadTypes` accepts any of: `absentee_owner`, `vacant`, `pre_foreclosure`, `high_equity`, `cash_buyer`. #### Example — high-equity absentee owners in Texas ```json { "state": "TX", "leadTypes": ["absentee_owner", "high_equity"], "maxItems": 500 } ```` #### Example — every lead in a ZIP ```json { "zip": "77002", "maxItems": 1000 } ``` *** ### How it works 1. Opens Propwire with a US residential IP and resolves your location filter (state / city / ZIP). 2. Queries the property search API and pages through results. 3. Applies any `leadTypes` filters server-side. 4. Normalizes each record into clean, typed fields (owner contact, equity, MLS, tax). 5. Returns up to `maxItems` records. *** ### Who it's for - **Real estate investors** sourcing off-market and motivated-seller leads. - **Wholesalers** building targeted absentee-owner and high-equity lists. - **Agents & lead-gen teams** enriching territories with owner contact and equity data. *** ### Notes - Owner phone/email availability varies by property and is returned when Propwire exposes it. - Equity, tax, and MLS fields reflect the latest data available on Propwire at scrape time. - Use `state` for broad pulls, or `zip` / `city` to tightly scope a farm area. # Actor input Schema ## `sp_intended_usage` (type: `string`): What will this data feed? E.g. lead lists, KYB checks, price tracking. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): We'll personally help with your use case. No spam. ## `state` (type: `string`): US state abbreviation to search (e.g. TX, CA, FL). Leave empty to use ZIP code or city search. ## `city` (type: `string`): City name to filter results (optional, used with state). ## `zipCode` (type: `string`): ZIP code to search within (optional, overrides state/city when provided). ## `leadTypes` (type: `array`): Filter by lead type flags. Leave empty to get all leads. ## `maxItems` (type: `integer`): Maximum number of property records to return. Defaults to 100. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "state": "TX", "leadTypes": [ "absentee_owner", "vacant", "pre_foreclosure", "high_equity", "cash_buyer" ], "maxItems": 10 } ``` # Actor output Schema ## `results` (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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "state": "TX", "leadTypes": [ "absentee_owner", "vacant", "pre_foreclosure", "high_equity", "cash_buyer" ], "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/propwire-leads-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "state": "TX", "leadTypes": [ "absentee_owner", "vacant", "pre_foreclosure", "high_equity", "cash_buyer", ], "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/propwire-leads-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "state": "TX", "leadTypes": [ "absentee_owner", "vacant", "pre_foreclosure", "high_equity", "cash_buyer" ], "maxItems": 10 }' | apify call jungle_synthesizer/propwire-leads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/propwire-leads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Propwire Leads Scraper", "description": "Extract US real estate leads from Propwire with 11M+ properties including owner info, equity, MLS data, lead-type flags, and tax records.", "version": "0.1", "x-build-id": "TDu0G4abDPFjgeum4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~propwire-leads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-propwire-leads-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~propwire-leads-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-propwire-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~propwire-leads-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-propwire-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "What will this data feed? E.g. lead lists, KYB checks, price tracking." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact email (optional)", "minLength": 1, "type": "string", "description": "We'll personally help with your use case. No spam." }, "state": { "title": "State", "type": "string", "description": "US state abbreviation to search (e.g. TX, CA, FL). Leave empty to use ZIP code or city search." }, "city": { "title": "City", "type": "string", "description": "City name to filter results (optional, used with state)." }, "zipCode": { "title": "ZIP Code", "type": "string", "description": "ZIP code to search within (optional, overrides state/city when provided)." }, "leadTypes": { "title": "Lead Types", "type": "array", "description": "Filter by lead type flags. Leave empty to get all leads.", "items": { "type": "string" } }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of property records to return. Defaults to 100.", "default": 100 } } }, "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 } } } } } } } } } } ```