# Reddit Real Estate Leads — Buyers, Investors & Landlords (`makework36/reddit-realestate-scraper`) Actor Find real estate buyers, investors and landlords on Reddit actively asking about properties, markets and investment opportunities. Scrapes r/realestate, r/landlord, r/RealEstateInvesting and more. - **URL**: https://apify.com/makework36/reddit-realestate-scraper.md - **Developed by:** [deusex machine](https://apify.com/makework36) (community) - **Categories:** Lead generation, Social media, AI - **Stats:** 10 total users, 5 monthly users, 40.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Reddit Real Estate Scraper Collect real estate discussions, investment advice, and market sentiment from Reddit. Searches r/realestate, r/landlord, r/RealEstateInvesting, r/FirstTimeHomeBuyer, r/legaladvice, and r/personalfinance. ### What data does it extract? | Field | Description | |-------|-------------| | `title` | Post title | | `subreddit` | Source subreddit | | `author` | Reddit username | | `score` | Net upvotes | | `numComments` | Number of comments | | `url` | Reddit permalink | | `selftext` | Post body (up to 2000 chars) | | `created` | Post creation date (ISO 8601) | | `keyword` | Which keyword matched this post | | `flair` | Post flair text | ### Use cases - **Market sentiment** -- Track what buyers and investors are saying about specific markets or property types - **Lead generation** -- Find people actively looking to buy, sell, or invest in real estate - **Content research** -- Gather real questions and concerns from homebuyers for blog content or social media ### How to use Default keywords (general real estate topics): ```json { "maxResults": 100, "sortBy": "new" } ```` Target specific markets or topics: ```json { "keywords": ["Austin housing market", "is now a good time to buy", "rental property cash flow"], "maxResults": 200, "sortBy": "hot", "includeComments": true } ``` ### Input parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `keywords` | string\[] | `["looking to buy", "investment property", "rental income", "best market to invest", "property management software"]` | Search terms for real estate discussions | | `maxResults` | integer | `50` | Max posts to return (1-500) | | `sortBy` | string | `"new"` | Sort order: `new`, `hot`, or `top` | | `includeComments` | boolean | `false` | Include top-level comments from each post | **Subreddits searched:** r/realestate, r/landlord, r/RealEstateInvesting, r/FirstTimeHomeBuyer, r/legaladvice, r/personalfinance ### Output example ```json { "id": "t3_1k8jkl", "subreddit": "RealEstateInvesting", "title": "Just closed on my first duplex - here's what I learned", "author": "new_landlord_2026", "score": 623, "upvoteRatio": 0.97, "numComments": 156, "url": "https://www.reddit.com/r/RealEstateInvesting/comments/1k8jkl/...", "selftext": "After 6 months of searching, I finally closed on a duplex in Cleveland...", "created": "2026-03-26T11:00:00.000Z", "keyword": "investment property", "scrapedAt": "2026-03-28T10:00:00.000Z" } ``` ### Performance & cost - Runs in 1-3 minutes depending on the number of keywords - Uses another actor internally (reddit-scraper) so costs include that actor's compute time - Each keyword triggers a separate search run ### FAQ **Can I focus on a specific city or state?** Yes -- use keywords like `["Austin real estate market", "investing in Ohio", "Florida rental laws"]`. **How do I find buyers vs investors?** r/FirstTimeHomeBuyer skews toward buyers. r/RealEstateInvesting and r/landlord skew toward investors. **Is this useful for proptech companies?** Yes. Search for keywords like `"property management software"`, `"tenant screening tool"`, or `"landlord app"` to find potential users. # Actor input Schema ## `keywords` (type: `array`): Keywords to search for in Reddit posts. ## `maxResults` (type: `integer`): Maximum number of posts to return. ## `sortBy` (type: `string`): How to sort Reddit results. ## `includeComments` (type: `boolean`): Also include top comments from each post. ## Actor input object example ```json { "maxResults": 50, "sortBy": "new", "includeComments": false } ``` # Actor output Schema ## `dataset` (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 = { "maxResults": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("makework36/reddit-realestate-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 = { "maxResults": 50 } # Run the Actor and wait for it to finish run = client.actor("makework36/reddit-realestate-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 '{ "maxResults": 50 }' | apify call makework36/reddit-realestate-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=makework36/reddit-realestate-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Real Estate Leads — Buyers, Investors & Landlords", "description": "Find real estate buyers, investors and landlords on Reddit actively asking about properties, markets and investment opportunities. Scrapes r/realestate, r/landlord, r/RealEstateInvesting and more.", "version": "1.0", "x-build-id": "BFDq7WedVG82JiuZG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/makework36~reddit-realestate-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-makework36-reddit-realestate-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/makework36~reddit-realestate-scraper/runs": { "post": { "operationId": "runs-sync-makework36-reddit-realestate-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/makework36~reddit-realestate-scraper/run-sync": { "post": { "operationId": "run-sync-makework36-reddit-realestate-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": { "keywords": { "title": "Search Keywords", "type": "array", "description": "Keywords to search for in Reddit posts.", "items": { "type": "string" } }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of posts to return.", "default": 50 }, "sortBy": { "title": "Sort By", "enum": [ "new", "hot", "top" ], "type": "string", "description": "How to sort Reddit results.", "default": "new" }, "includeComments": { "title": "Include Comments", "type": "boolean", "description": "Also include top comments from each post.", "default": false } } }, "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 } } } } } } } } } } ```