# Ana White Woodworking Plan Scraper (`jungle_synthesizer/ana-white-woodworking-plan-scraper`) Actor Scrapes free woodworking plan metadata from Ana White — the most-searched free-plan brand. Extracts title, difficulty, materials, cut list, tools, category, thumbnail, and plan URL for all 3000+ plans via the paginated project index. - **URL**: https://apify.com/jungle\_synthesizer/ana-white-woodworking-plan-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** For creators - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## Ana White Woodworking Plan Scraper Scrapes free woodworking plan metadata from [Ana White](https://www.ana-white.com/woodworking-projects) — the most-searched free-plan brand on the web. Extracts structured data from 3,000+ DIY furniture and project plans including title, difficulty, shopping list, cut list, tools, category, room, author, and publication date. ### What the data looks like Each result contains: - **plan_id** — Drupal node ID (unique plan identifier) - **title** — Plan title (e.g. "2x4 Outdoor Sofa") - **slug** — URL slug for the plan - **category** — Project type (e.g. "Sofa, Outdoor Seating", "Storage Woodworking Plans") - **room** — Target room/space (e.g. "Outdoor", "Bedroom", "Kitchen") - **difficulty** — Skill level (Beginner, Intermediate, Advanced) - **materials_list** — Shopping list as an array of strings (e.g. "11 - 2x4x10' boards") - **cut_list** — Cut dimensions as an array of strings (e.g. "9 - 2x4 @ 72" long") - **tools_required** — List of required tools (e.g. "Miter Saw", "Kreg Jig") - **author** — Plan author (Ana White in most cases) - **published_at** — Publication date (ISO 8601) - **thumbnail_url** — Plan thumbnail image URL - **plan_url** — Canonical URL of the plan page ### Use cases - **Lumber estimators** — import materials and cut lists for cost calculations - **Project planning apps** — browse plans by difficulty, category, or room - **AI woodworking assistants** — structured training data with real materials and tools - **Portfolio / inspiration tools** — curate and display plans by type - **Affiliate product matchers** — match tool/material lists to product databases ### Scope and coverage Ana White hosts 3,000+ free woodworking plans across all skill levels and room types. This actor crawls the paginated project index (no sitemap) and follows each plan's detail page. Plans span furniture, outdoor, storage, beginner, and advanced projects. Only plan metadata is collected — PDF plan files are not downloaded (copyright). All data extracted is publicly accessible without login. ### How to use Set **Max Items** to control how many plans to scrape. The default is 10 for a quick preview. Run without a limit to collect the full catalog. | Input | Description | Default | |-------|-------------|---------| | maxItems | Number of plans to scrape | 10 | ### Sample output ```json { "plan_id": "36036", "title": "2x4 Outdoor Sofa", "slug": "2x4-outdoor-sofa", "category": "Sofa, Outdoor Seating, Lounging and Accents", "room": "Outdoor", "difficulty": "Beginner Projects", "materials_list": [ "11 - 2x4x10' or 104-5/8\" (prefer red-toned 2x boards)", "3 - Deep Seat Cushions, 24\" x 24\" x 4-5\" deep, with matching pillows", "150 - 2-1/2\" to 3\" long, self-tapping exterior decking screws" ], "cut_list": [ "9 - 2x4 @ 72\" (or cushion width x times 3)", "13 - 2x4 @ 25-1/2\" (or cushion depth plus 1-1/2\")", "2 - 2x4 @ 28-1/2\" (or cushion depth plus 4-1/2\")" ], "tools_required": [ "Tape Measure", "Speed Square", "Pencil", "Drill", "Miter Saw" ], "author": "Ana White", "published_at": "2019-03-16T13:11:56-0700", "thumbnail_url": "https://www.ana-white.com/sites/default/files/styles/node_teaser_thumbnail/public/...", "plan_url": "https://www.ana-white.com/woodworking-projects/2x4-outdoor-sofa" } ```` ### Notes - The site has no robots.txt crawl-delay restriction for woodworking plan pages. The actor paces requests conservatively at 5 concurrent requests. - Materials and cut lists are extracted from the site's HTML Shopping List and Cut List fields (not the downloadable PDF plans). - Tool names are extracted from affiliate-linked images on each plan page (using image alt text). # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `maxItems` (type: `integer`): Maximum number of records to scrape ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10 } ``` # Actor output Schema ## `results` (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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/ana-white-woodworking-plan-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/ana-white-woodworking-plan-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10 }' | apify call jungle_synthesizer/ana-white-woodworking-plan-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/ana-white-woodworking-plan-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Ana White Woodworking Plan Scraper", "description": "Scrapes free woodworking plan metadata from Ana White — the most-searched free-plan brand. Extracts title, difficulty, materials, cut list, tools, category, thumbnail, and plan URL for all 3000+ plans via the paginated project index.", "version": "0.1", "x-build-id": "PrAS0AVmireH1XSzI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~ana-white-woodworking-plan-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-ana-white-woodworking-plan-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/jungle_synthesizer~ana-white-woodworking-plan-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-ana-white-woodworking-plan-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/jungle_synthesizer~ana-white-woodworking-plan-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-ana-white-woodworking-plan-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": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of records to scrape", "default": 10 } } }, "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 } } } } } } } } } } ```