# ItemInfo Product Scraper (`groupbwt/iteminfo-product-scraper`) Actor Scrape product data from ItemInfo.com by URL. Extracts title, SKU, UPC, price, images, specifications, variants, reviews, related products, and document links. Returns structured JSON ready for analysis or integration. - **URL**: https://apify.com/groupbwt/iteminfo-product-scraper.md - **Developed by:** [GroupBWT LLC](https://apify.com/groupbwt) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## ItemInfo.com Product Scraper Scrapes detailed product data from [iteminfo.com](https://www.iteminfo.com) — a B2B office, breakroom, janitorial, furniture, and technology product catalog powered by SP Richards. ### What data can you extract? | Field | Description | |-------|-------------| | `sku`, `sku_catalog`, `upc`, `unspsc` | Product identifiers | | `title`, `description` | Product name and short description | | `brand`, `manufacturer` | Brand and manufacturer names | | `list_price`, `unit_of_measure` | Pricing information | | `bullets` | Key feature bullet points | | `images` | All product image URLs (multiple angles/sizes) | | `details` | Structured specs grouped by section (General Information, Product Information, Physical Characteristics, Miscellaneous, Warranty, etc.) | | `variants` | Product variations with attributes (color, size, material) | | `review_summary` | Average rating, review count, rating histogram | | `breadcrumbs` | Category hierarchy | | `similar_products` | Similar product recommendations | | `related_products` | Related products | | `accessories` | Compatible accessories | | `also_bought` | Frequently bought together | | `upsells` | Upsell recommendations | | `pdf_links` | Links to PDFs (assembly instructions, MSDS, etc.) | | `prop_65` | California Proposition 65 warning (when applicable) | ### How to use 1. Click **Try for free** 2. Enter one or more ItemInfo.com product URLs (e.g. `https://www.iteminfo.com/product/DXE5342DXCT`) 3. Click **Start** 4. Download results in JSON, CSV, or Excel ### Input example ```json { "urls": [ "https://www.iteminfo.com/product/DXE5342DXCT", "https://www.iteminfo.com/product/LLR86201" ] } ```` ### Output example ```json { "url": "https://www.iteminfo.com/product/DXE5342DXCT", "product_id": 1010898183, "sku": "DXE5342DXCT", "sku_catalog": "DXE 5342DXCT", "upc": "10078731989205", "unspsc": "48101905", "title": "Dixie PerfecTouch 12 oz Insulated Paper Hot Coffee Cups by GP Pro", "description": "12 fl oz - Cone - Coffee Haze - Paper - Hot Drink, Coffee - 25/Pack - 20 / Carton", "brand": "Dixie", "manufacturer": "Georgia Pacific Corp.", "list_price": 201.4, "unit_of_measure": "CT", "prop_65": null, "bullets": [ "Insulated material reduces need for costly double-cupping and sleeves", "Polyethylene coating prevents liquids from soaking through", "Textured exterior provides a comfortable, nonslip grip", "Space-saving case size offers efficient packaging solution for businesses" ], "details": { "General Information": { "Manufacturer": "Georgia Pacific Corp.", "Manufacturer Part Number": "5342DXCT", "Brand Name": "Dixie", "Product Line": "PerfecTouch", "Product Name": "PerfecTouch 12 oz Insulated Paper Hot Coffee Cups by GP Pro", "Packaged Quantity": "20 / Carton", "Product Type": "Cup" }, "Product Information": { "Quantity Per Container": "25/Pack", "Volume Capacity": "12 fl oz", "Shape": "Cone", "Application/Usage": ["Hot Drink", "Coffee"], "Features": "Insulated" }, "Physical Characteristics": { "Color Family": "Brown", "Product Color": "Coffee Haze", "Product Material": "Paper" }, "Miscellaneous": { "Recycled": "No", "Country of Origin": "United States", "UPC": "10078731989205", "UNSPSC": "48101905", "Color": "WHITE" } }, "variants": [ { "product_id": 1071728561, "sku": "DXE 5310DXCT", "title": "Dixie PerfecTouch 10 oz Insulated Paper Hot Coffee Cups by GP Pro", "description": "10 fl oz - White - Paper - Hot Drink - 25/Pack - 20 / Carton", "attributes": { "Volume Capacity": "10 fl oz", "Packaged Quantity": "20 / Carton" } } ], "review_summary": { "average_rating": 4.0, "review_count": 1, "rating_count": 1, "recommended_ratio": 1.0, "rating_histogram": [0, 0, 0, 1, 0] }, "breadcrumbs": [ {"name": "Breakroom", "url": "/search/c_1400029_Breakroom"}, {"name": "Tableware", "url": "/search/c_1500359_Tableware"}, {"name": "Cups", "url": "/search/c_1601931_Cups"} ], "also_bought": [ { "product_id": 1014566959, "sku": "DXE 9542500DX", "title": "Dixie Large Hot Cup Lids by GP Pro", "list_price": 7.91, "unit_of_measure": "PK" } ], "similar_products": [], "related_products": [], "accessories": [], "pdf_links": [] } ``` ### Use cases - **Price monitoring** for B2B office and janitorial supplies - **Product catalog enrichment** with detailed specs, images, and variants - **Competitive intelligence** across office supply distributors - **Procurement data collection** with UPC, UNSPSC codes, and compliance info ### Cost of usage This actor uses plain HTTP requests (no browser), so compute costs are minimal. Expect ~0.001 CU per product. ### Limitations - Only works with `iteminfo.com/product/` URLs - Prices shown are list prices (actual reseller prices may vary) - Review data comes from PowerReviews and may have slight delay # Actor input Schema ## `urls` (type: `array`): List of ItemInfo.com product page URLs to scrape ## Actor input object example ```json { "urls": [ "https://www.iteminfo.com/product/DXE5342DXCT", "https://www.iteminfo.com/product/LLR86201" ] } ``` # 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 = { "urls": [ "https://www.iteminfo.com/product/DXE5342DXCT", "https://www.iteminfo.com/product/LLR86201" ] }; // Run the Actor and wait for it to finish const run = await client.actor("groupbwt/iteminfo-product-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 = { "urls": [ "https://www.iteminfo.com/product/DXE5342DXCT", "https://www.iteminfo.com/product/LLR86201", ] } # Run the Actor and wait for it to finish run = client.actor("groupbwt/iteminfo-product-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 '{ "urls": [ "https://www.iteminfo.com/product/DXE5342DXCT", "https://www.iteminfo.com/product/LLR86201" ] }' | apify call groupbwt/iteminfo-product-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=groupbwt/iteminfo-product-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ItemInfo Product Scraper", "description": "Scrape product data from ItemInfo.com by URL. Extracts title, SKU, UPC, price, images, specifications, variants, reviews, related products, and document links. Returns structured JSON ready for analysis or integration.", "version": "0.0", "x-build-id": "O3RQY3saNheJL7QtO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/groupbwt~iteminfo-product-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-groupbwt-iteminfo-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/groupbwt~iteminfo-product-scraper/runs": { "post": { "operationId": "runs-sync-groupbwt-iteminfo-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/groupbwt~iteminfo-product-scraper/run-sync": { "post": { "operationId": "run-sync-groupbwt-iteminfo-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": [ "urls" ], "properties": { "urls": { "title": "Product URLs", "type": "array", "description": "List of ItemInfo.com product page URLs to scrape", "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 } } } } } } } } } } ```