# Apartment Therapy Article Scraper (`crawlerbros/apartment-therapy-scraper`) Actor Scrape articles from Apartment Therapy - home decor, interior design, DIY, and small-space content from apartmenttherapy.com via their official RSS feed. - **URL**: https://apify.com/crawlerbros/apartment-therapy-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Automation, News, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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 ## Apartment Therapy Article Scraper Scrape articles from **Apartment Therapy** — one of the internet's top home decor and interior design publications, covering decorating, DIY projects, organizing tips, shopping guides, and small-space living. Data sourced from Apartment Therapy's official RSS feed. ### What You Can Do - **Get Latest** — fetch the newest articles published on Apartment Therapy - **Search Articles** — find articles by keyword (e.g., "small apartment ideas", "mid century modern", "bathroom tile") - **Browse Category** — browse articles by topic (decorating, DIY, organizing, shopping, etc.) ### Input Parameters | Field | Type | Description | |-------|------|-------------| | `mode` | select | `getLatest`, `searchArticles`, or `browseCategory` | | `query` | string | Keyword(s) to search in titles, summaries, and tags (mode=searchArticles) | | `category` | select | Topic to browse (mode=browseCategory) | | `authorFilter` | string | Filter by author name (partial match) | | `maxItems` | integer | Maximum articles to return (1–200, default 50) | ### Output Fields | Field | Type | Description | |-------|------|-------------| | `title` | string | Article headline | | `articleUrl` | string | Canonical URL on apartmenttherapy.com | | `author` | string | Author name | | `publishDate` | string | Publication date (ISO 8601 UTC) | | `category` | string | Primary content category | | `tags` | array | Content tags/topics | | `summary` | string | Brief article description | | `imageUrl` | string | Main article image URL | ### Available Categories | Value | Description | |-------|-------------| | `main` | All articles (main feed) | | `decorating` | Decorating & interior design | | `organizing` | Organizing & storage | | `diy` | DIY projects | | `shopping` | Shopping guides & product recommendations | | `small-spaces` | Small space living & apartment tips | | `kitchen` | Kitchen design & ideas | | `bathroom` | Bathroom inspiration | | `bedroom` | Bedroom design | | `living-room` | Living room ideas | | `house-tours` | House tours | | `before-and-after` | Before & after transformations | | `news` | Home & design news | ### FAQs **Q: Where does the data come from?** A: Data is sourced from Apartment Therapy's official public RSS feed, which provides the latest published articles including title, author, date, categories, and image URLs. **Q: How many articles can I get?** A: The RSS feed delivers the 20 most recent articles. Use `maxItems` to control how many you receive. **Q: Does search work across all articles or just recent ones?** A: The search filters across the articles available in the RSS feed (most recent 20). Keyword matching is applied to titles, summaries, and tags. **Q: Can I filter by author?** A: Yes — use `authorFilter` with a partial author name (case-insensitive) to filter results. **Q: What topics does Apartment Therapy cover?** A: Apartment Therapy covers home decorating, interior design inspiration, DIY projects, organizing tips, shopping guides, house tours, before-and-after renovations, and small-space living advice. # Actor input Schema ## `mode` (type: `string`): What to scrape: getLatest (newest articles), searchArticles (keyword search), or browseCategory (browse a topic). ## `query` (type: `string`): Keyword(s) to search for in article titles, summaries, and tags. Used when mode=searchArticles. ## `category` (type: `string`): Category/topic to browse or filter by. Used when mode=browseCategory. ## `authorFilter` (type: `string`): Filter results by author name (partial match, case-insensitive). ## `maxItems` (type: `integer`): Maximum number of articles to return (1–200). ## Actor input object example ```json { "mode": "getLatest", "query": "small apartment ideas", "category": "main", "maxItems": 20 } ```` # 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 = { "mode": "getLatest", "query": "small apartment ideas", "maxItems": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/apartment-therapy-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 = { "mode": "getLatest", "query": "small apartment ideas", "maxItems": 20, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/apartment-therapy-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 '{ "mode": "getLatest", "query": "small apartment ideas", "maxItems": 20 }' | apify call crawlerbros/apartment-therapy-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/apartment-therapy-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Apartment Therapy Article Scraper", "description": "Scrape articles from Apartment Therapy - home decor, interior design, DIY, and small-space content from apartmenttherapy.com via their official RSS feed.", "version": "0.1", "x-build-id": "clIThEnKwsvf0PcNT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~apartment-therapy-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-apartment-therapy-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~apartment-therapy-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-apartment-therapy-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~apartment-therapy-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-apartment-therapy-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "Scraping Mode", "enum": [ "getLatest", "searchArticles", "browseCategory" ], "type": "string", "description": "What to scrape: getLatest (newest articles), searchArticles (keyword search), or browseCategory (browse a topic).", "default": "getLatest" }, "query": { "title": "Search Query", "type": "string", "description": "Keyword(s) to search for in article titles, summaries, and tags. Used when mode=searchArticles." }, "category": { "title": "Category", "enum": [ "main", "decorating", "organizing", "diy", "shopping", "small-spaces", "kitchen", "bathroom", "bedroom", "living-room", "house-tours", "before-and-after", "news" ], "type": "string", "description": "Category/topic to browse or filter by. Used when mode=browseCategory.", "default": "main" }, "authorFilter": { "title": "Author Filter", "type": "string", "description": "Filter results by author name (partial match, case-insensitive)." }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of articles to return (1–200).", "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 } } } } } } } } } } ```