# Trulia Scraper (`onidivo/trulia-scraper`) Actor Crawl the Trulia real estate listings site and extract data about homes for sale. Scrape home details for multiple search locations (City, Neighborhood, Zip, and County) and various search criteria and filters. - **URL**: https://apify.com/onidivo/trulia-scraper.md - **Developed by:** [Onidivo Technologies](https://apify.com/onidivo) (community) - **Categories:** Real estate, Travel - **Stats:** 129 total users, 0 monthly users, 96.6% runs succeeded, 7 bookmarks - **User rating**: No ratings yet ## Pricing $25.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 ## Trulia Scraper - [Features](#Features) - [Cost of usage](#Cost-of-usage) - [Bugs, issues, features, and feedback](#Bugs,-issues,-features,-and-feedback) - [Input](#Input) - [Output](#Output) Crawl the Trulia real estate listings site and extract data about homes for sale. Scrape home details for multiple search locations (City, Neighborhood, Zip, and County) and various search criteria and filters. Download and use the data whatever way you want. ### Features - Multiple properties URLs - Multiple search locations - Multiple search types (Buy, Rent, Sold) - Sort homes ### Cost of usage When running the actor with memory of **1024 MB**, average consumption is about **1 Compute Unit** and **1 hour** per **4000 homes**. This will cost about **$0.5** usage credits. ### Bugs, issues, features, and feedback You can report issues on the Actor tab "Issues" or [here](https://github.com/onidivo/apify-actors/issues/new?title=Trulia+-+) and discuss or leave your feedback [here](https://github.com/onidivo/apify-actors/discussions). ### Input You can provide input either through the editor on the Apify platform or as a JSON object. The only mandatory fields you need to provide are: - at least one of: **startUrls** or **searchLocations**. - if you will provide **searchLocations**, at least one of: **searchTypeBuy**, **searchTypeRent**, and **searchTypeSold** with the value `true` (by default, **searchTypeBuy** is `true`). An example of minimal input: ```json { "startUrls": [ { "url": "https://www.trulia.com/p/ca/fremont/3366-peralta-blvd-fremont-ca-94536--2083375174" } ], "searchLocations": [ "San Francisco" ], "searchTypeBuy": true, "sortOption": "NEW_LISTINGS", "proxyConfiguration": { "useApifyProxy": true } } ```` **The scraper forcibly use Apify Proxy so that you don’t get blocked by Trulia. You should also use a low value for max concurrency.** ### Output For each **search location** combined with the **search type** (Buy, Rent, or Sold), and for each start URL, you get home results. The output of each home looks like this: ```json { "url": "https://www.trulia.com/p/ca/fremont/48871-crown-ridge-cmn-fremont-ca-94539--2083417606", "searchLocation": "Fremont, CA", "query": "Fremont, CA", "title": "48871 Crown Ridge Cmn, Fremont, CA 94539 - 5 Bed, 4 Bath Single-Family Home - MLS# ML81834752 - 39 Photos | Trulia", "metaDescription": "48871 Crown Ridge Cmn, Fremont, CA 94539 is a 3,811 sqft, 5 bed, 4 bath Single-Family Home listed for $2,980,000. Welcome to 48871 Crown Ridge Common, an exquisite home located on a tree lined street in the prestigious...", "isOffMarket": false, "isRecentlySold": false, "isForeclosure": false, "isActiveForRent": false, "isActiveForSale": true, "isRecentlyRented": false, "location": { "stateCode": "CA", "jsonLdSchemaFullLocation": "48871 Crown Ridge Cmn, Fremont, CA 94539", "homeFormattedAddress": "48871 Crown Ridge Cmn, Fremont, CA 94539", "cityStateZipAddress": "Fremont, CA 94539", "summaryFormattedLocation": "48871 Crown Ridge Cmn", "city": "Fremont", "zipCode": "94539", "neighborhoodName": "Vineyards-Avalon", "streetAddress": "48871 Crown Ridge Cmn", "formattedLocation": "48871 Crown Ridge Cmn", "latitude": 37.47203826904297, "longitude": -121.8926010131836 }, "price": 2980000, "bedrooms": 5, "bathrooms": 4, "floorSpace": 3811, "propertyType": "Single Family Home", "lotSize": "0.58 acres" } ``` # Actor input Schema ## `startUrls` (type: `array`): The start URLs to scrape. It can be listening or property pages. ## `searchLocations` (type: `array`): The locations to search for ## `searchTypeBuy` (type: `boolean`): Search homes for sale ## `searchTypeRent` (type: `boolean`): Search homes for rent ## `searchTypeSold` (type: `boolean`): Search sold homes ## `sortOption` (type: `string`): The option to use for sorting the results ## `proxyConfiguration` (type: `object`): Provided options to configure connection with a proxy server. ## `maxConcurrency` (type: `integer`): Maximum concurrency that you want to run actor ## Actor input object example ```json { "startUrls": [ { "url": "https://www.trulia.com/for_sale/San_Francisco,CA/3p_beds/300000p_price/MULTI-FAMILY,SINGLE-FAMILY_HOME,TOWNHOUSE_type/7_nl/" }, { "url": "https://www.trulia.com/property/7095741518-37901-Ocean-Ridge-Dr-Gualala-CA-95445" } ], "searchTypeBuy": true, "searchTypeRent": false, "searchTypeSold": false, "sortOption": "NO_SORTING", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "maxConcurrency": 5 } ``` # 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 = { "startUrls": [ { "url": "https://www.trulia.com/for_sale/San_Francisco,CA/3p_beds/300000p_price/MULTI-FAMILY,SINGLE-FAMILY_HOME,TOWNHOUSE_type/7_nl/" }, { "url": "https://www.trulia.com/property/7095741518-37901-Ocean-Ridge-Dr-Gualala-CA-95445" } ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("onidivo/trulia-scraper").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 = { "startUrls": [ { "url": "https://www.trulia.com/for_sale/San_Francisco,CA/3p_beds/300000p_price/MULTI-FAMILY,SINGLE-FAMILY_HOME,TOWNHOUSE_type/7_nl/" }, { "url": "https://www.trulia.com/property/7095741518-37901-Ocean-Ridge-Dr-Gualala-CA-95445" }, ], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("onidivo/trulia-scraper").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 '{ "startUrls": [ { "url": "https://www.trulia.com/for_sale/San_Francisco,CA/3p_beds/300000p_price/MULTI-FAMILY,SINGLE-FAMILY_HOME,TOWNHOUSE_type/7_nl/" }, { "url": "https://www.trulia.com/property/7095741518-37901-Ocean-Ridge-Dr-Gualala-CA-95445" } ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call onidivo/trulia-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=onidivo/trulia-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Trulia Scraper", "description": "Crawl the Trulia real estate listings site and extract data about homes for sale. Scrape home details for multiple search locations (City, Neighborhood, Zip, and County) and various search criteria and filters.", "version": "0.0", "x-build-id": "D2YMiV4LdX1wRvlJP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/onidivo~trulia-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-onidivo-trulia-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/onidivo~trulia-scraper/runs": { "post": { "operationId": "runs-sync-onidivo-trulia-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/onidivo~trulia-scraper/run-sync": { "post": { "operationId": "run-sync-onidivo-trulia-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "Start URLs", "uniqueItems": true, "type": "array", "description": "The start URLs to scrape. It can be listening or property pages.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "searchLocations": { "title": "Search locations", "uniqueItems": true, "type": "array", "description": "The locations to search for", "items": { "type": "string" } }, "searchTypeBuy": { "title": "For Sale - Buy", "type": "boolean", "description": "Search homes for sale", "default": true }, "searchTypeRent": { "title": "For Rent", "type": "boolean", "description": "Search homes for rent", "default": false }, "searchTypeSold": { "title": "Sold", "type": "boolean", "description": "Search sold homes", "default": false }, "sortOption": { "title": "Sort Option", "enum": [ "NO_SORTING", "NEW_LISTINGS", "MOST_PHOTOS", "PRICE_LOW_TO_HIGH", "PRICE_HIGH_TO_LOW", "MORTGAGE", "BEDROOMS", "BATHROOMS", "SQUARE_FEET" ], "type": "string", "description": "The option to use for sorting the results", "default": "NO_SORTING" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Provided options to configure connection with a proxy server.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }, "maxConcurrency": { "title": "Maximum Concurrency", "type": "integer", "description": "Maximum concurrency that you want to run actor", "default": 5 } } }, "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 } } } } } } } } } } ```