# Propwire Real Estate Leads Scraper (`crawlerbros/propwire-leads-scraper`) Actor Extract US real estate leads from propwire.com with 11M+ properties with owner info, equity, MLS data, lead-type flags (absentee owner, vacant, pre-foreclosure, cash buyer, high equity, etc.), and tax records. - **URL**: https://apify.com/crawlerbros/propwire-leads-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Real estate, Other, Lead generation - **Stats:** 7 total users, 3 monthly users, 100.0% runs succeeded, 15 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $1.00 / 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. 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 ## Propwire Real Estate Leads Scraper Extract US real estate leads from **propwire.com** — 11M+ properties with owner info, estimated equity, MLS status, tax records, and 40+ lead-type flags (absentee owner, high-equity, free-and-clear, vacant, pre-foreclosure, cash buyer, etc.). Ideal for wholesalers, investors, and real-estate pros looking for motivated sellers. ### Features - **45 output fields** per property — complete flat schema with typed defaults (zero nulls) - **11M+ properties indexed** — nationwide US coverage - **40+ lead-type flags** — filter or post-filter by `absentee_owner`, `high_equity`, `vacant_home`, `cash_buyer`, `preforeclosure`, `free_and_clear`, `out_of_state_owner`, and more - **Owner details** — owner name(s), mailing address (for wholesaling / direct mail campaigns) - **Valuation data** — estimated market value, equity, LTV, price per square foot, tax assessed values - **Ownership history** — last sold price + date, months/years of ownership - **Search by city, state, or ZIP** — mix any combination of locations per run - **No proxy, no cookies, no login** — uses an anonymous JWT issued by Propwire's public free-skip-trace landing page - **Zero nulls** — every field has a typed default for predictable downstream processing ### Input | Field | Type | Description | |---|---|---| | `locations` | Array of strings | US locations: city + state (`"Miami, FL"`), state code (`"FL"`), or ZIP (`"33142"`). Mix any combination. | | `leadTypes` | Array of strings | Optional lead-type filter. Common: `absentee_owner`, `high_equity`, `free_and_clear`, `vacant_home`, `cash_buyer`, `preforeclosure`, `bank_owned`, `out_of_state_owner`, `low_equity`, `flipped_property`, `tired_landlord`, `empty_nester`. Leave empty for all types. | | `maxItems` | Integer | Max properties to return across all locations (default 50, max 1000). | #### Example Input ```json { "locations": ["Miami, FL", "Austin, TX", "90210"], "leadTypes": ["high_equity", "absentee_owner"], "maxItems": 100 } ```` State-level search: ```json { "locations": ["FL"], "leadTypes": ["vacant_home"], "maxItems": 500 } ``` ### Output Each property has **45 fields**. All fields are always present — empty string, zero, `false`, or empty array as typed defaults, never `null`. #### Identity & Location | Field | Type | Description | |---|---|---| | `id` | Integer | Propwire property ID | | `url` | String | Propwire property-details URL | | `address` | String | Street address | | `city` | String | City | | `state` | String | State code (2 letters) | | `zip` | String | ZIP code | | `latitude` | Number | Latitude | | `longitude` | Number | Longitude | #### Property Specs | Field | Type | Description | |---|---|---| | `propertyType` | String | `SFR`, `MFR`, `Condo`, `Land`, etc. | | `bedrooms` | Integer | Bedroom count | | `bathrooms` | Number | Bathroom count | | `livingAreaSf` | Integer | Living area sq ft | | `buildingAreaSf` | Integer | Total building area sq ft | | `lotSizeSf` | Integer | Lot size in sq ft | | `lotSizeAcres` | Number | Lot size in acres | | `yearBuilt` | Integer | Year built | | `units` | Integer | Number of units (multi-family) | #### Valuation | Field | Type | Description | |---|---|---| | `estimatedValue` | Integer | Estimated market value (USD) | | `estimatedEquity` | Integer | Estimated equity (USD) | | `estimatedEquityPercentage` | Integer | Equity as % of value | | `estimatedLtv` | Number | Loan-to-value ratio | | `estimatedPricePerSf` | Number | $/sqft | | `lastSoldDate` | String | Last sale date (YYYY-MM-DD) | | `lastSoldPrice` | Integer | Last sale price (USD) | | `monthsOfOwnership` | Integer | Months current owner has held the property | | `yearsOfOwnership` | Integer | Years of ownership (rounded) | #### Owner | Field | Type | Description | |---|---|---| | `ownerName` | String | Owner name(s), comma-joined if multiple | | `ownerOccupied` | Boolean | Whether owner lives in the property | | `ownerMailingAddress` | String | Owner mailing street address | | `ownerMailingCity` | String | Owner mailing city | | `ownerMailingState` | String | Owner mailing state | | `ownerMailingZip` | String | Owner mailing ZIP | | `companyOwned` | Boolean | Whether owned by a company/LLC | | `individualOwned` | Boolean | Whether owned by individual | | `trustOwned` | Boolean | Whether owned by a trust | #### MLS Status | Field | Type | Description | |---|---|---| | `mlsListPrice` | Integer | MLS list price if active | | `mlsListDate` | String | MLS list date | | `mlsStatus` | String | Current MLS status | | `mlsPhotoUrl` | String | First MLS photo URL | | `daysOnMarket` | Integer | Days on market | #### Tax & Leads | Field | Type | Description | |---|---|---| | `taxAssessedTotal` | Integer | Total tax-assessed value | | `taxAssessedYear` | Integer | Tax assessment year | | `leadTypes` | Array | Active lead-type flags (array of strings: e.g. `["high_equity", "absentee_owner"]`) | | `auctionDate` | String | Auction date if scheduled | #### Metadata | Field | Type | Description | |---|---|---| | `scrapedAt` | String | ISO 8601 scrape timestamp | #### Example Output ```json { "id": 88459, "url": "https://propwire.com/realestate/1914-nw-49th-st-miami-fl-33142/88459", "address": "1914 Nw 49th St", "city": "Miami", "state": "FL", "zip": "33142", "latitude": 25.819639, "longitude": -80.228871, "propertyType": "SFR", "bedrooms": 1, "bathrooms": 1, "livingAreaSf": 862, "lotSizeSf": 4796, "lotSizeAcres": 0.110101, "yearBuilt": 1952, "estimatedValue": 369175, "estimatedEquity": 308897, "estimatedEquityPercentage": 84, "lastSoldDate": "2006-07-20", "lastSoldPrice": 175000, "yearsOfOwnership": 18, "ownerName": "1914 RENTAL LLC", "ownerOccupied": false, "ownerMailingAddress": "7901 4TH ST N STE 300", "ownerMailingCity": "ST PETERSBURG", "ownerMailingState": "FL", "companyOwned": true, "taxAssessedTotal": 266265, "taxAssessedYear": 2025, "leadTypes": ["absentee_owner", "high_equity"], "scrapedAt": "2026-04-11T12:40:00+00:00" } ``` ### Lead Type Flags Every property has 40+ boolean flags. The scraper collects active ones in the `leadTypes` array: **Equity-based:** `high_equity`, `low_equity`, `negative_equity`, `free_and_clear` **Ownership-based:** `absentee_owner`, `out_of_state_owner`, `empty_nester`, `tired_landlord`, `intrafamily_transfer` **Financial distress:** `preforeclosure`, `bank_owned`, `auction`, `lien_tax`, `lien_misc`, `bankruptcy`, `divorce` **Property condition:** `vacant_home`, `vacant_lot`, `zombie_property`, `abandoned_homes`, `code_violation` **Deal types:** `cash_buyer`, `flipped_property`, `bargain_properties`, `creative_financing`, `sub_to_mls`, `sub_to_off_market` **MLS status:** `mls_active`, `mls_pending`, `mls_failed`, `mls_sold` **Loan types:** `adjustable_loan`, `assumable_loan`, `private_lender` ### FAQ **Q: Do I need a proxy?** No. The scraper uses an anonymous JWT obtained from Propwire's public `free-skip-trace` landing page — no login required. Works directly from Apify datacenter IPs. **Q: How does the authentication work?** Propwire issues a 2-hour JWT to any visitor of their free-skip-trace lead magnet page (this is how they support anonymous "try before you sign up" skip-tracing). The scraper fetches a fresh token at the start of each run and uses it for all `POST /api/property_search` calls. **Q: How many results per request?** The API returns 10 properties per request. The scraper paginates via `result_index` until `maxItems` is reached or results run out. **Q: What lead types can I filter by?** All 40+ types listed above. You can pass any subset in `leadTypes` and the API will filter server-side. For finer-grained post-filtering, all active flags are also returned in each property's `leadTypes` array. **Q: How fresh is the data?** Propwire's Elasticsearch cluster is updated continuously. Data reflects their live index — the same data you'd see if you logged into propwire.com. **Q: Is phone number / email included?** No. Contact info (skip-trace data) requires a paid Propwire account. This scraper returns only the public search data. You can use the `ownerMailingAddress` fields for direct-mail campaigns. **Q: What's the largest search I can run?** The scraper caps `maxItems` at 1,000 per run. For larger datasets, split by location or lead type and run multiple times. **Q: Will this work long-term?** The anonymous JWT pattern is publicly documented as Propwire's "free skip trace" feature. Propwire could change the flow at any time, but as long as the `/lm/free-skip-trace/search` landing page issues anonymous tokens, this scraper will continue to work. ### Use Cases - **Wholesaling** — find motivated sellers (absentee + high-equity + out-of-state) - **Direct mail campaigns** — export owner mailing addresses for postcard campaigns - **Investment analysis** — filter by equity % and last-sold year to find hold candidates - **Rental market analysis** — find `tired_landlord` properties in target markets - **Pre-foreclosure deals** — `preforeclosure` + `auction` flags for distressed-property leads - **Flip targets** — `vacant_home` or `bargain_properties` in specific cities - **Data pipelines** — feed structured JSON into CRMs (Podio, REISift, InvestorFuse) without post-processing # Actor input Schema ## `locations` (type: `array`): US locations to search: city name with state (e.g. 'Miami, FL'), state code (e.g. 'FL'), or ZIP code (e.g. '33142'). Mix any combination. ## `leadTypes` (type: `array`): Filter by lead type. Common options: absentee\_owner, high\_equity, free\_and\_clear, vacant\_home, cash\_buyer, preforeclosure, bank\_owned, out\_of\_state\_owner, low\_equity, negative\_equity, flipped\_property, empty\_nester, tired\_landlord. Leave empty for all. ## `maxItems` (type: `integer`): Maximum number of properties to return across all locations. ## Actor input object example ```json { "locations": [ "Miami, FL" ], "leadTypes": [], "maxItems": 3 } ``` # Actor output Schema ## `properties` (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 = { "locations": [ "Miami, FL" ], "maxItems": 3 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/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 = { "locations": ["Miami, FL"], "maxItems": 3, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/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 '{ "locations": [ "Miami, FL" ], "maxItems": 3 }' | apify call crawlerbros/propwire-leads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/propwire-leads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Propwire Real Estate Leads Scraper", "description": "Extract US real estate leads from propwire.com with 11M+ properties with owner info, equity, MLS data, lead-type flags (absentee owner, vacant, pre-foreclosure, cash buyer, high equity, etc.), and tax records.", "version": "1.0", "x-build-id": "Veok9vXv9O3fZqikC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~propwire-leads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~propwire-leads-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-propwire-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~propwire-leads-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-propwire-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "locations": { "title": "Locations", "type": "array", "description": "US locations to search: city name with state (e.g. 'Miami, FL'), state code (e.g. 'FL'), or ZIP code (e.g. '33142'). Mix any combination.", "items": { "type": "string" } }, "leadTypes": { "title": "Lead Types", "type": "array", "description": "Filter by lead type. Common options: absentee_owner, high_equity, free_and_clear, vacant_home, cash_buyer, preforeclosure, bank_owned, out_of_state_owner, low_equity, negative_equity, flipped_property, empty_nester, tired_landlord. Leave empty for all.", "default": [], "items": { "type": "string" } }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of properties to return across all locations.", "default": 50 } } }, "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 } } } } } } } } } } ```