# Houzz Scraper - Home Improvement Professionals (`goat255/houzz-scraper`) Actor Collect home improvement professionals by trade and location. One clean row per business with phone, full postal address, areas served, social profiles and website. No login and no API key. - **URL**: https://apify.com/goat255/houzz-scraper.md - **Developed by:** [Goutam Soni](https://apify.com/goat255) (community) - **Categories:** Business, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 professional scrapeds This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Houzz Scraper Collect home improvement professionals by trade and location. One clean row per business with phone, full postal address, areas served, social profiles and website. No login and no API key. ### What it does - **Contact details ready to use.** Phone number as displayed, plus a digits-only version for joining and deduplication. - **Full postal address split into fields**: street, city, state, ZIP and country, plus one combined line. - **Website and listing page kept apart.** A business's page in the directory is not their own website, so it is returned separately as `profileUrl` and never passed off as one. - **Social profiles** as their own list, separate from any other links. - **Deduplicated across every trade and location**, so a business listed under two searches is delivered once and charged once. - **Many trades and locations in one run**, all returning the same fields. Common uses: lead lists for suppliers and software vendors, local market research, competitor mapping, recruitment, and building a trades directory. ### Input | Field | Type | Description | |---|---|---| | `trades` | array | Trade slugs as they appear in the site address. See the list below. | | `locations` | array | Locations in the site's own form, for example `Austin--TX`. | | `maxResultsPerSearch` | integer | Cap per trade and location pair. Default 100. | | `proxyConfiguration` | object | Optional. Enable to spread requests across IPs. | Trades confirmed to work: `general-contractor`, `architect`, `interior-designer`, `landscape-architect`, `roofing-and-gutters`, `painter`, `plumber`, `electrician`. Others may exist; a trade that is not recognised is reported in the log and skipped rather than returning unrelated results. #### Example input ```json { "trades": ["general-contractor", "architect"], "locations": ["Austin--TX", "New-York--NY"], "maxResultsPerSearch": 300 } ```` ### Output Each item is one professional. ```json { "name": "Acme Design & Build", "trade": "general-contractor", "phone": "+1 555-0100", "phoneDigits": "15550100", "website": "https://example.com", "profileUrl": "https://www.houzz.com/professionals/general-contractors/example-pf~1000000000", "street": "1 Example Street", "city": "Austin", "region": "TX", "postalCode": "78701", "country": "US", "address": "1 Example Street, Austin, TX, 78701", "areaServed": "Austin", "searchLocation": "Austin--TX", "socialProfiles": ["https://www.facebook.com/example"], "otherLinks": [], "imageUrl": "https://example.com/photo.jpg" } ``` ### Notes - **The listing reorders between requests.** Asking for the same page twice does not return quite the same set, so this actor does not assume a fixed number of pages. It keeps requesting until several consecutive requests turn up nothing new, and deduplicates as it goes. That is why the run log shows more requests than a simple page count would suggest. - Because of that reordering, a second run of the same search can surface a few businesses the first run did not. Raising `maxResultsPerSearch` gives the run more room to find them. - `website` is filled only when a business publishes its own address. Many list only social profiles, so this field is often `null` while `profileUrl` is always present. - Some entries list a bare social handle rather than a full address. The platform cannot be determined from a handle alone, so those are left out instead of being filed under a guess. - `street` is missing for a minority of businesses that do not publish one. Those rows keep every other field. - Results for a location include nearby areas, so a search can return businesses in neighbouring states. The `region` field shows exactly where each one is. ### Privacy To improve our actors we collect anonymized usage telemetry (run stats and input patterns). No personal account data is collected. # Actor input Schema ## `trades` (type: `array`): Trade categories to collect. Use the exact slug as it appears in the site address, for example general-contractor. Unrecognised trades are reported and skipped rather than returning unrelated results. ## `locations` (type: `array`): Locations to search, in the site's own form, for example New-York--NY or Austin--TX. ## `maxResultsPerSearch` (type: `integer`): Cap for each trade and location pair. Results are deduplicated across every pair. ## `proxyConfiguration` (type: `object`): Optional. Enable to spread requests across IPs. ## Actor input object example ```json { "trades": [ "general-contractor" ], "locations": [ "Austin--TX" ], "maxResultsPerSearch": 100 } ``` # Actor output Schema ## `records` (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 = { "trades": [ "general-contractor" ], "locations": [ "Austin--TX" ] }; // Run the Actor and wait for it to finish const run = await client.actor("goat255/houzz-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 = { "trades": ["general-contractor"], "locations": ["Austin--TX"], } # Run the Actor and wait for it to finish run = client.actor("goat255/houzz-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 '{ "trades": [ "general-contractor" ], "locations": [ "Austin--TX" ] }' | apify call goat255/houzz-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=goat255/houzz-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Houzz Scraper - Home Improvement Professionals", "description": "Collect home improvement professionals by trade and location. One clean row per business with phone, full postal address, areas served, social profiles and website. No login and no API key.", "version": "0.0", "x-build-id": "MYZZDviNxWJcKHBGo" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/goat255~houzz-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-goat255-houzz-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/goat255~houzz-scraper/runs": { "post": { "operationId": "runs-sync-goat255-houzz-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/goat255~houzz-scraper/run-sync": { "post": { "operationId": "run-sync-goat255-houzz-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "trades", "locations" ], "properties": { "trades": { "title": "Trades", "type": "array", "description": "Trade categories to collect. Use the exact slug as it appears in the site address, for example general-contractor. Unrecognised trades are reported and skipped rather than returning unrelated results.", "default": [ "general-contractor" ], "items": { "type": "string" } }, "locations": { "title": "Locations", "type": "array", "description": "Locations to search, in the site's own form, for example New-York--NY or Austin--TX.", "default": [ "Austin--TX" ], "items": { "type": "string" } }, "maxResultsPerSearch": { "title": "Max professionals per trade and location", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Cap for each trade and location pair. Results are deduplicated across every pair.", "default": 100 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional. Enable to spread requests across IPs." } } }, "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 } } } } } } } } } } ```