# Rockler Woodworking Tool Catalog Scraper (`jungle_synthesizer/rockler-woodworking-tool-catalog-scraper`) Actor Scrape product catalogs from Rockler and Woodcraft — two specialty woodworking retailers. Extracts SKU, name, brand, price, sale price, stock status, ratings, specs, and description for each product. - **URL**: https://apify.com/jungle\_synthesizer/rockler-woodworking-tool-catalog-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 88.9% runs succeeded, 0 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 ## Rockler Woodworking Tool Catalog Scraper Scrape product catalogs from **Rockler** and **Woodcraft** — two leading specialty woodworking retailers. Extracts comprehensive product data including SKU, name, brand, price, sale price, stock status, ratings, technical specifications, and description for each product. ### What does this actor do? This actor crawls both sites' sitemaps to discover all product pages, then extracts structured data per item. It supports filtering by source retailer so you can scrape Rockler-only, Woodcraft-only, or both in a single run. **Rockler** (Magento-based) carries hardware, router bits, clamps, lathes, workbench accessories, and finishing supplies — over 6,800 products available in their sitemap. **Woodcraft** (Shopify-based) carries carving tools, chisels, router bits, power tools, and hand tools from premium brands like Pfeil, Whiteside, Jet, and Freud. ### Use cases - **Price and availability tracking** — Monitor woodworking tool prices across two specialty retailers. - **Catalog analysis** — Compare product selection, brand distribution, and category coverage. - **Inventory research** — Check in-stock status for specific SKUs across both retailers. - **B2B purchasing** — Identify best prices on tools, hardware, and supplies for contractors and shops. - **Data enrichment** — Supplement product databases with technical specs and descriptions. ### Input | Parameter | Type | Description | Default | |-----------|------|-------------|---------| | `maxItems` | integer | Maximum number of products to scrape | 10 | | `sources` | array | Retailers to scrape: `["rockler"]`, `["woodcraft"]`, or both | `["rockler", "woodcraft"]` | ### Output Each scraped product is saved as a dataset item with the following fields: | Field | Type | Description | |-------|------|-------------| | `sku` | string | Retailer item number / SKU | | `product_name` | string | Full product name | | `brand` | string | Manufacturer brand name | | `source_site` | string | `rockler` or `woodcraft` | | `category` | string | Product category from the retailer | | `price_usd` | number | Regular price in USD | | `sale_price_usd` | number | Sale/discounted price (null if not on sale) | | `in_stock` | boolean | Whether the product is in stock | | `rating_value` | number | Average star rating (Rockler only; null for Woodcraft) | | `rating_count` | integer | Number of reviews (Rockler only; null for Woodcraft) | | `specs` | string | JSON of technical specifications (brand, weight, dimensions, materials) | | `description` | string | Full product description | | `image_url` | string | Main product image URL | | `product_url` | string | Canonical product page URL | #### Sample output (Rockler) ```json { "sku": "22286", "product_name": "Low Profile Shelf Supports", "brand": "Rockler", "source_site": "rockler", "category": "Rockler Shelf Pins & Supports", "price_usd": 2.99, "sale_price_usd": null, "in_stock": true, "rating_value": 4.4, "rating_count": 5, "specs": "{\"brand\":\"Rockler\",\"weight\":\"0.03\",\"tech_spec\":\"Inserts into 5mm hole.\",\"unit_of_measure\":\"pk\"}", "description": "Low Profile Shelf Supports are ideal for shelving with tight tolerances...", "image_url": "https://www.rockler.com/media/catalog/product/2/2/22286-01-1000.jpg", "product_url": "https://www.rockler.com/low-profile-shelf-supports" } ```` #### Sample output (Woodcraft) ```json { "sku": "05F98", "product_name": "Carving Tool Palm Handled Set B 8 piece", "brand": "pfeil", "source_site": "woodcraft", "category": "Carving Sets", "price_usd": 279.99, "sale_price_usd": null, "in_stock": true, "rating_value": null, "rating_count": null, "specs": null, "description": "pfeil carving tools are Swiss made. Designed for wood block carving...", "image_url": "https://www.woodcraft.com/cdn/shop/files/05F98_000_001_1000x.jpg", "product_url": "https://www.woodcraft.com/products/carving-tool-palm-handled-set-b-8-piece" } ``` ### Notes - Woodcraft ratings (`rating_value`, `rating_count`) are always `null` — Woodcraft uses a JavaScript-loaded review widget (Yotpo) that is not present in the static HTML. - Technical specifications vary by product. Power tools include voltage, amperage, and dimensions; hand tools include material and finish details. - The actor respects rate limits and uses moderate concurrency (8 concurrent requests) to avoid overloading either site. - Sitemap-based discovery ensures comprehensive coverage of each retailer's full product catalog. # 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 ## `sources` (type: `array`): Which retailers to scrape: \["rockler", "woodcraft"] or leave empty for both ## 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, "sources": [ "rockler", "woodcraft" ] } ``` # 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, "sources": [ "rockler", "woodcraft" ] }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/rockler-woodworking-tool-catalog-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, "sources": [ "rockler", "woodcraft", ], } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/rockler-woodworking-tool-catalog-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, "sources": [ "rockler", "woodcraft" ] }' | apify call jungle_synthesizer/rockler-woodworking-tool-catalog-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/rockler-woodworking-tool-catalog-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Rockler Woodworking Tool Catalog Scraper", "description": "Scrape product catalogs from Rockler and Woodcraft — two specialty woodworking retailers. Extracts SKU, name, brand, price, sale price, stock status, ratings, specs, and description for each product.", "version": "0.1", "x-build-id": "wTNZZCpn4k60drYrf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~rockler-woodworking-tool-catalog-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-rockler-woodworking-tool-catalog-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~rockler-woodworking-tool-catalog-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-rockler-woodworking-tool-catalog-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~rockler-woodworking-tool-catalog-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-rockler-woodworking-tool-catalog-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 }, "sources": { "title": "Sources", "type": "array", "description": "Which retailers to scrape: [\"rockler\", \"woodcraft\"] or leave empty for both", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```