# Target.com Product Scraper (`alwaysprimedev/target-scraper`) Actor Scrape Target.com product details — title, price, brand, images, ratings, variants, specs — from search keywords, category pages, or product URLs. - **URL**: https://apify.com/alwaysprimedev/target-scraper.md - **Developed by:** [Always Prime](https://apify.com/alwaysprimedev) (community) - **Categories:** E-commerce, SEO tools, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.50 / 1,000 results 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 ## 🎯 Target.com Product Scraper > ⚡️ Blazing-fast, structured product data from Target.com — straight from Target's own data layer, no browser, no HTML parsing. [![Apify](https://img.shields.io/badge/Run%20on-Apify-blueviolet)](https://apify.com/) [![Python](https://img.shields.io/badge/python-3.11-blue.svg)]() [![Formats](https://img.shields.io/badge/output-JSON%20%7C%20CSV%20%7C%20Excel-success)]() ### 🚀 Why this scraper? - 🔌 **Direct data access** — pulls clean JSON from Target's structured catalog, not from rendered HTML. - ⚡️ **~70 KB per product** — tiny payloads, sub-second per item, very cheap to run at scale. - 📦 **Full product schema** — title, brand, current price, regular price, all images, every feature bullet, full specifications, ratings, reviews, breadcrumb categories, and every variant (size/color) with its own price and image. - 🎯 **Three input modes** — keyword search, category browse, or specific product URLs. Pick what fits. - 💰 **Variant-aware pricing** — automatically detects price-range items (e.g. T-shirts $8–$12) and ships per-variant prices for every size/color. - 🛡️ **Honeypot detection** — internal cross-check flags poisoned listings; you don't pay for bad data. - 🤖 **Resilient by default** — TLS-fingerprint rotation, structured retry, and fast-fail when something looks wrong. ### 🏁 Quick start 1. Click **Try for free** at the top of this page. 2. Pick an input mode and fill in keywords / categories / URLs. 3. Click **Start**. 4. Download results as **JSON, CSV, or Excel** when the run finishes. That's it — no setup, no API keys, no proxies to configure. ### 📥 Input | Field | What it does | Example | | ----------------- | -------------------------------------------------------------------------------------------------- | ---------------------------------------------- | | `searchType` | One of `keyword`, `category`, `url`. Picks which input list is used. | `keyword` | | `queries` | List of search terms. Used when `searchType = keyword`. | `["airpods", "lego star wars"]` | | `categories` | List of Target category node IDs (the part after `N-` in URLs like `target.com/c/grocery/-/N-5xt1a`). | `["5xt1a"]` | | `startUrls` | Direct product URLs. The actor reads the TCIN from `/A-`. | `["https://www.target.com/p/-/A-1000000076"]` | | `maxItems` | Stop after this many products. `0` = unlimited. | `50` | | `scrapeDetails` | When `false`, returns only URL + TCIN from list pages (cheap diff mode). | `true` | | `concurrency` | Detail requests in parallel (1–25). | `5` | | `storeId` | Target store ID; pricing varies by store. | `1414` | | `zipCode` | ZIP for fulfillment context. | `12401` | | `stateCode` | Two-letter state code. | `NY` | ### 📤 Output Each product is one record. Sample: ```json { "url": "https://www.target.com/p/campus-lab-uam-hoodie/-/A-1000000076", "id": "1000000076", "tcin": "1000000076", "dpci": "081-04-9999", "upc": "196760123456", "title": "Campus Lab University of Arkansas at Monticello Boll Weevils Logo Adult Pull-Over Hoodie - Heather Gray", "brand": "Campus Lab", "brand_url": "/b/campus-lab/-/N-aaa1", "description": "Show your school spirit with this Campus Lab pullover hoodie featuring the official UAM Boll Weevils logo.", "bullets": [ "Soft fleece interior for warmth", "Officially licensed collegiate apparel", "Front kangaroo pocket" ], "product_type": "APPAREL", "item_type": "Sweatshirts", "primary_image_url": "https://target.scene7.com/is/image/Target/GUEST_23f20057", "image_urls": [ "https://target.scene7.com/is/image/Target/GUEST_alt1", "https://target.scene7.com/is/image/Target/GUEST_alt2" ], "specifications": [ {"name": "Material", "value": "50% Cotton, 50% Polyester"}, {"name": "UPC", "value": "196760123456"} ], "category_id": "551v0", "category_name": "Graphic Sweatshirts and Hoodies", "breadcrumbs": [ {"name": "Target", "url": "/"}, {"name": "Clothing, Shoes & Accessories", "url": "/c/clothing-shoes-accessories/-/N-5xst5"}, {"name": "Hoodies & Sweatshirts", "url": "/c/hoodies-sweatshirts-women-s-clothing/-/N-551v0"} ], "currency": "USD", "current_price": 39.99, "current_price_min": null, "current_price_max": null, "reg_price": 49.99, "formatted_current_price": "$39.99", "is_price_range": false, "rating": 4.5, "rating_count": 28, "review_count": 28, "recommended_count": 25, "variants": [], "in_store_only": false, "_suspicious": false, "scraped_at": "2026-05-21T18:30:00+00:00" } ```` ### 💼 Use cases | Who | What for | | -------------------- | ------------------------------------------------------------------------------------------------- | | 🛒 Price monitoring | Daily price-and-stock tracking on competitor SKUs; alert on drops/raises. | | 📈 Market research | Catalog-wide pricing distribution, brand share, category depth for retail analytics. | | 🤝 Arbitrage / resale| Find under-priced items vs. Amazon/Walmart in real time, with full identifiers (UPC, TCIN, DPCI). | | 🎨 Catalog enrichment| High-quality images + structured bullets + specs to fill your own product catalog. | | 🧠 ML / training | Clean, normalised, multi-modal product data for retail vision/NLP models. | | 🛍️ Affiliate sites | Build niche product comparison pages with auto-refreshed prices. | ### 💡 Tips & tricks - **Start small** — set `maxItems: 25` for your first run to validate fields, then scale up. - **Cheap incremental refresh** — set `scrapeDetails: false` for a daily TCIN-only diff against yesterday's dataset; re-fetch full details only for new TCINs. - **Pricing varies by store** — change `storeId` / `zipCode` / `stateCode` to scrape a specific market (e.g. NYC `10001`, LA `90001`). - **`_suspicious: true`** — the actor cross-checks formatted vs. numeric prices and flags inconsistent records. Filter these out, or audit them; they're rare. - **Variants** — apparel / multi-size items return `is_price_range: true` and a populated `variants` array; iterate that for per-SKU data. ### ❓ FAQ **What's a TCIN / DPCI / UPC?** TCIN is Target's own product ID (also in every product URL after `/A-`). DPCI is the in-store SKU (`Department-Class-Item`). UPC is the universal barcode shared across retailers — useful for cross-retailer joins. **Will I get rate-limited?** Concurrency defaults to 5, which is well below typical limits. If you hit rate-limits at higher concurrency, lower it — the actor will fail-fast (not silently degrade) so you'll know. **Can I scrape store locations / store-only items?** This actor focuses on product data. Each product record includes the store-specific price; for store-locator data we recommend a dedicated actor. **Does the actor handle pagination?** Yes — categories and keyword searches paginate automatically until `maxItems` or the end of results. **Why is `current_price` null on some items?** Variant parent items show `current_price_min` / `current_price_max` instead (apparel, multi-size, multi-pack). The `is_price_range` flag tells you which mode the item is in. ### 🛟 Support Found a field that's wrong, missing, or always-null on a category you care about? Tell us via the actor's Issues tab — we treat field bugs as P0. # Actor input Schema ## `searchType` (type: `string`): Choose how Target should be queried. 'keyword' uses the search bar, 'category' browses a category node, 'url' scrapes specific product URLs. ## `queries` (type: `array`): One or more search terms (used when input mode is 'keyword'). Example: 'airpods', 'lego star wars'. ## `categories` (type: `array`): One or more Target category node IDs (used when input mode is 'category'). Find them in URLs like target.com/c/grocery/-/N-5xt1a — the part after 'N-' is the node ID. ## `startUrls` (type: `array`): Direct Target.com product URLs (used when input mode is 'url'). The TCIN — last digits after '/A-' — is what we scrape. ## `maxItems` (type: `integer`): Stop after pushing this many products to the dataset. Set to 0 for unlimited (use with care on broad categories). ## `scrapeDetails` (type: `boolean`): When ON, fetches each product's full detail (slower, complete data). When OFF, returns only the URL and TCIN from list pages — useful for cheap diff runs. ## `concurrency` (type: `integer`): How many product detail pages to fetch in parallel. Increase for speed; lower if you see rate-limits. ## `storeId` (type: `string`): Target store ID used for pricing and stock context (defaults to a Midwest store with broad assortment). Pricing can differ by store. ## `zipCode` (type: `string`): ZIP code used for shipping/fulfillment calculations. ## `stateCode` (type: `string`): Two-letter US state code matching the ZIP code above. ## Actor input object example ```json { "searchType": "keyword", "queries": [ "airpods" ], "categories": [], "startUrls": [], "maxItems": 50, "scrapeDetails": true, "concurrency": 5, "storeId": "1414", "zipCode": "12401", "stateCode": "NY" } ``` # Actor output Schema ## `products` (type: `string`): Full product dataset as JSON. ## `productsCsv` (type: `string`): Same dataset as a CSV download. ## `productsXlsx` (type: `string`): Same dataset as an Excel workbook. ## `consoleView` (type: `string`): View the full dataset interactively in the Apify Console. # 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 = { "queries": [ "airpods" ], "categories": [], "startUrls": [], "maxItems": 50, "concurrency": 5, "storeId": "1414", "zipCode": "12401", "stateCode": "NY" }; // Run the Actor and wait for it to finish const run = await client.actor("alwaysprimedev/target-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 = { "queries": ["airpods"], "categories": [], "startUrls": [], "maxItems": 50, "concurrency": 5, "storeId": "1414", "zipCode": "12401", "stateCode": "NY", } # Run the Actor and wait for it to finish run = client.actor("alwaysprimedev/target-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 '{ "queries": [ "airpods" ], "categories": [], "startUrls": [], "maxItems": 50, "concurrency": 5, "storeId": "1414", "zipCode": "12401", "stateCode": "NY" }' | apify call alwaysprimedev/target-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=alwaysprimedev/target-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Target.com Product Scraper", "description": "Scrape Target.com product details — title, price, brand, images, ratings, variants, specs — from search keywords, category pages, or product URLs.", "version": "0.1", "x-build-id": "SHgrgz9SAdY2ifTrN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/alwaysprimedev~target-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-alwaysprimedev-target-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/alwaysprimedev~target-scraper/runs": { "post": { "operationId": "runs-sync-alwaysprimedev-target-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/alwaysprimedev~target-scraper/run-sync": { "post": { "operationId": "run-sync-alwaysprimedev-target-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchType": { "title": "Input mode", "enum": [ "keyword", "category", "url" ], "type": "string", "description": "Choose how Target should be queried. 'keyword' uses the search bar, 'category' browses a category node, 'url' scrapes specific product URLs.", "default": "keyword" }, "queries": { "title": "Search keywords", "type": "array", "description": "One or more search terms (used when input mode is 'keyword'). Example: 'airpods', 'lego star wars'.", "items": { "type": "string" } }, "categories": { "title": "Category node IDs", "type": "array", "description": "One or more Target category node IDs (used when input mode is 'category'). Find them in URLs like target.com/c/grocery/-/N-5xt1a — the part after 'N-' is the node ID.", "items": { "type": "string" } }, "startUrls": { "title": "Product URLs", "type": "array", "description": "Direct Target.com product URLs (used when input mode is 'url'). The TCIN — last digits after '/A-' — is what we scrape.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max products", "minimum": 0, "maximum": 100000, "type": "integer", "description": "Stop after pushing this many products to the dataset. Set to 0 for unlimited (use with care on broad categories)." }, "scrapeDetails": { "title": "Scrape full product details", "type": "boolean", "description": "When ON, fetches each product's full detail (slower, complete data). When OFF, returns only the URL and TCIN from list pages — useful for cheap diff runs.", "default": true }, "concurrency": { "title": "Concurrent detail requests", "minimum": 1, "maximum": 25, "type": "integer", "description": "How many product detail pages to fetch in parallel. Increase for speed; lower if you see rate-limits." }, "storeId": { "title": "Store ID", "type": "string", "description": "Target store ID used for pricing and stock context (defaults to a Midwest store with broad assortment). Pricing can differ by store." }, "zipCode": { "title": "ZIP code", "type": "string", "description": "ZIP code used for shipping/fulfillment calculations." }, "stateCode": { "title": "State code", "type": "string", "description": "Two-letter US state code matching the ZIP code above." } } }, "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 } } } } } } } } } } ```