# Mcmaster Carr Product Scraper (`ocrad/mcmaster-product-scraper`) Actor Scrapes product listings from mcmaster.com filtered category/search URLs. Extracts part number, price, dimensions, and material specs. Supports optional detail-page visits for full specifications. - **URL**: https://apify.com/ocrad/mcmaster-product-scraper.md - **Developed by:** [Ocrad](https://apify.com/ocrad) (community) - **Categories:** Automation, Developer tools, E-commerce - **Stats:** 4 total users, 4 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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. 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 ## McMaster-Carr Product Scraper ![McMaster-Carr](https://media.licdn.com/dms/image/v2/D5622AQFoazgMwso6AA/feedshare-shrink_800/feedshare-shrink_800/0/1687195698355?e=2147483647&v=beta&t=Vm7q2aGq0PIbU86TL0TRknO-6HbjXbgOuZ7xdHml7No) Scrapes product listings from [mcmaster.com](https://www.mcmaster.com) filtered category or search URLs. ### What it does Given a McMaster-Carr filtered category URL, the actor extracts every product in the listing table: part number, price, dimensions, material group, and all other column values. Optionally, it visits each product's detail page to collect the full specifications table, primary image, and complete title. ### Input Configure via the Apify Console or by editing `storage/key_value_stores/default/INPUT.json` for local runs. | Field | Type | Required | Description | |---|---|---|---| | `url` | String | Yes | A McMaster-Carr filtered category URL (e.g. `https://www.mcmaster.com/products/eyebolts/body-style~eye-nut/`). Apply all desired filters in your browser first, then paste the resulting URL. | | `maxItems` | Integer | No | Maximum number of product records to save. Omit or set to `null` for no limit. | | `detailedInfo` | Boolean | No | When `true`, visits each product's detail page to collect the full specifications table, primary image, and precise title. Significantly increases run time. Default: `false`. | **Example input:** ```json { "url": "https://www.mcmaster.com/products/eyebolts/rope-guides-1~/", "maxItems": 100, "detailedInfo": false } ```` ### Output Records are saved to the default Apify Dataset. Each record contains: | Field | Description | |---|---| | `partNumber` | McMaster-Carr part number, e.g. `8491A301` | | `url` | Absolute URL of the product detail page | | `title` | Product category header from the listing page | | `titleFull` | Full product name from the detail page *(detailedInfo only)* | | `material` | Material group or dimensional group from the listing table | | `subgroup` | Sub-group within the material group (React-table pages only) | | `price` | Unit price at the lowest quantity tier, e.g. `$14.24` | | `style` | Style letter, e.g. `A`, `B` (eyebolt-style pages) | | `threadSize` | Thread size string, e.g. `3/8"-16` (eyebolt-style pages) | | `overallLength` | Overall length, e.g. `2 1/4"` (eyebolt-style pages) | | `eyeDiameter` | Eye inside diameter (eyebolt-style pages) | | `verticalCapacityLb` | Vertical working load limit in pounds (eyebolt-style pages) | | `specsMet` | Standards or specifications met. `null` when shown as `โ€”` | | `columnData` | Keyโ†’value map of **all** listing columns keyed by header text (classic-table pages, e.g. drill bushings). Contains all spec columns and tiered prices. | | `imageUrl` | URL of the primary product image *(detailedInfo only)* | | `specifications` | Keyโ†’value map of all spec-table entries from the detail page *(detailedInfo only)* | | `scrapedAt` | ISO 8601 timestamp | **Example record (drill bushing):** ```json { "partNumber": "8491A301", "url": "https://www.mcmaster.com/8491A301", "title": "Press-Fit Drill Bushings", "material": "0.0135\" ID", "price": "$57.49", "columnData": { "OD": "5/32\"", "Lg.": "1/2\"", "For Drill Bit Size": "No. 80", "Drill Bushing Type": "P", "Material": "Steel", "Hardness": "Rockwell C61", "1-9": "$57.49", "10-49": "$54.30", "50-Up": "$51.44" }, "scrapedAt": "2026-04-03T19:46:55.903Z" } ``` ### How to find the right URL 1. Go to [mcmaster.com](https://www.mcmaster.com) and search for a product category. 2. Use the left-hand filters to narrow results to the subset you want. 3. Copy the URL from your browser's address bar โ€” it encodes all active filters. 4. Paste it into the `url` input field. *** #### ๐Ÿ’ฌ **Support and Feedback** Need help or have suggestions? Leave a review on the Actor's Apify page or reach out via Apify support. We monitor McMaster's page structure and aim to keep the scraper up to date with any site changes. # Actor input Schema ## `url` (type: `string`): A McMaster-Carr filtered category URL (e.g. https://www.mcmaster.com/products/eyebolts/body-style~eye-nut/). Apply all desired filters in your browser first, then paste the resulting URL here. McMaster renders all matching products on a single page per filter combination. ## `maxItems` (type: `integer`): Maximum number of product records to save. Scraping stops as soon as this count is reached. Omit or set to null for no limit. ## `detailedInfo` (type: `boolean`): When enabled, the actor visits each product's detail page to collect the full specifications table, primary image, and precise title. Significantly increases run time and compute costs. ## Actor input object example ```json { "url": "https://www.mcmaster.com/products/eyebolts/body-style~eye-nut/", "maxItems": 5, "detailedInfo": false } ``` # Actor output Schema ## `partNumber` (type: `string`): No description ## `url` (type: `string`): No description ## `title` (type: `string`): No description ## `titleFull` (type: `string`): No description ## `material` (type: `string`): No description ## `subgroup` (type: `string`): No description ## `price` (type: `string`): No description ## `style` (type: `string`): No description ## `threadSize` (type: `string`): No description ## `overallLength` (type: `string`): No description ## `eyeDiameter` (type: `string`): No description ## `verticalCapacityLb` (type: `string`): No description ## `specsMet` (type: `string`): No description ## `columnData` (type: `string`): No description ## `imageUrl` (type: `string`): No description ## `specifications` (type: `string`): No description ## `scrapedAt` (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 = { "url": "https://www.mcmaster.com/products/eyebolts/body-style~eye-nut/", "maxItems": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("ocrad/mcmaster-product-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "url": "https://www.mcmaster.com/products/eyebolts/body-style~eye-nut/", "maxItems": 5, } # Run the Actor and wait for it to finish run = client.actor("ocrad/mcmaster-product-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "url": "https://www.mcmaster.com/products/eyebolts/body-style~eye-nut/", "maxItems": 5 }' | apify call ocrad/mcmaster-product-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ocrad/mcmaster-product-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Mcmaster Carr Product Scraper", "description": "Scrapes product listings from mcmaster.com filtered category/search URLs. Extracts part number, price, dimensions, and material specs. Supports optional detail-page visits for full specifications.", "version": "0.1", "x-build-id": "DvnGyUeOUdheO3VcN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ocrad~mcmaster-product-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ocrad-mcmaster-product-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ocrad~mcmaster-product-scraper/runs": { "post": { "operationId": "runs-sync-ocrad-mcmaster-product-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ocrad~mcmaster-product-scraper/run-sync": { "post": { "operationId": "run-sync-ocrad-mcmaster-product-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "url" ], "properties": { "url": { "title": "Search / Category URL", "pattern": "^https://www\\.mcmaster\\.com/.*", "type": "string", "description": "A McMaster-Carr filtered category URL (e.g. https://www.mcmaster.com/products/eyebolts/body-style~eye-nut/). Apply all desired filters in your browser first, then paste the resulting URL here. McMaster renders all matching products on a single page per filter combination." }, "maxItems": { "title": "Max Items", "minimum": 1, "type": "integer", "description": "Maximum number of product records to save. Scraping stops as soon as this count is reached. Omit or set to null for no limit.", "default": 5 }, "detailedInfo": { "title": "Scrape Detail Pages", "type": "boolean", "description": "When enabled, the actor visits each product's detail page to collect the full specifications table, primary image, and precise title. Significantly increases run time and compute costs.", "default": false } } }, "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 } } } } } } } } } } ```