# Target Product Scraper (`scrapeworks/target-product-scraper`) Actor Scrape Target.com products in bulk by URL, TCIN, or keyword. Get title, brand, UPC/barcode, full category, description, specifications, star rating, review count, all images, variants and seller - one clean row per product. No login or API key. - **URL**: https://apify.com/scrapeworks/target-product-scraper.md - **Developed by:** [Nicolas van Arkens](https://apify.com/scrapeworks) (community) - **Categories:** E-commerce, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Product Scraper **Scrape Target.com product data in bulk — by product URL, TCIN, or keyword.** Get a clean, structured row per product: title, brand, UPC barcode, full category path, description, feature bullets, parsed specifications, star rating, review count, every product image, size & colour variants, seller and marketplace flag. No login, no API key, no browser automation. Point it at a list of Target product URLs or product IDs (TCINs), or give it keywords and it scans Target's own public product sitemap (~2.6 million products) and pulls everything whose name matches. Built for **bulk**: every input is a list, so one run returns hundreds or thousands of products. --- ### What you get — one row per product | Field | Description | |---|---| | `tcin` | Target's product ID (the number after `/A-` in a product URL) | | `title` | Product name | | `brand` / `brandUrl` | Brand name and Target brand page | | `upc` | UPC / GTIN barcode (great for matching products across retailers) | | `url` | Canonical product URL | | `categoryName` / `categoryId` / `breadcrumbs` | Category name, ID, and full breadcrumb trail | | `productType` / `itemType` / `purchaseBehavior` | Target's product classification | | `description` | Long product description | | `featureBullets` | List of feature/detail bullets | | `specifications` | Parsed spec key/values (material, dimensions, style, …) | | `highlights` | Marketing highlight bullets | | `ratingAverage` / `ratingCount` / `reviewCount` | Star rating, number of ratings, number of written reviews | | `recommendedPercentage` / `ratingDistribution` | % who recommend, and the 1–5 star breakdown | | `primaryImage` / `images` / `swatchImage` | Main image, all image URLs, colour swatch | | `isMarketplace` / `sellerName` / `sellerUrl` | Whether it's a third-party (Target Plus) item, and the seller | | `importDesignation` | Made-in / imported note | | `returnMethod` / `returnPolicyUrl` | Return policy | | `variantThemes` / `variantCount` / `variants` | Size/colour themes and each variant (with its own TCIN + UPC) | | `sourceKeyword` / `sourceUrl` / `scrapedAt` | Which keyword matched, the page scraped, and a UTC timestamp | #### Sample output (trimmed) ```json { "tcin": "91292886", "title": "MLB Seattle Mariners Outdoor Sports Chair - Navy Blue", "brand": "MLB", "upc": "099967307611", "url": "https://www.target.com/p/mlb-seattle-mariners-outdoor-sports-chair-navy-blue/-/A-91292886", "categoryName": "Beach Chairs", "breadcrumbs": ["target", "Outdoor Living & Garden", "Outdoor Furniture", "Outdoor Chairs", "Beach Chairs"], "productType": "PATIO & OUTDOOR DECOR", "specifications": { "Dimensions (Overall)": "32.9 Inches (H) x 18.5 Inches (W) x 36.6 Inches (D)", "Weight": "8.8 Pounds", "Holds up to": "300 Pounds", "Material": "Textile 1: Polyester" }, "ratingAverage": 4.94, "ratingCount": 15, "reviewCount": 15, "ratingDistribution": { "rating5": 14, "rating4": 1 }, "primaryImage": "https://target.scene7.com/is/image/Target/GUEST_bd8601cc-f902-43f7-bd45-09f3d1514ac2" } ```` *** ### How to choose products (mix these in one run) - **`productUrls`** — exact Target PDP URLs, e.g. `https://www.target.com/p/-/A-1004367031`. Copy a URL straight from your browser. One row per product. - **`tcins`** — Target product IDs. The fastest bulk input if you already have a list of IDs. Each becomes `https://www.target.com/p/-/A-`. - **`keywords`** — a broad catalog search. The actor scans Target's public product sitemap and scrapes products whose name/slug contains your keyword(s) (e.g. `air fryer`, `lego star wars`). Use `maxProducts` to cap how many, and `maxSitemapFiles` to control how deep it scans. - **`crawlCatalog: true`** (with no other input) — dump the first `maxProducts` products from the sitemap as a raw catalog sample. Turn on **`expandVariants`** to get one row per size/colour variant (each with its own TCIN and UPC) instead of a single summarised row. #### Example inputs Look up a list of product IDs: ```json { "tcins": ["91292886", "1004367031", "1000000076"], "maxProducts": 100 } ``` Broad keyword catalog search: ```json { "keywords": ["air fryer", "coffee maker"], "maxProducts": 500, "maxSitemapFiles": 12 } ``` Exact URLs, variants expanded: ```json { "productUrls": ["https://www.target.com/p/-/A-1000000076"], "expandVariants": true } ``` *** ### Use cases - **Product / catalog data & PIM enrichment** — pull titles, brands, UPCs, categories, specs and images for thousands of Target SKUs to build or enrich a catalog. - **Cross-retailer product matching** — the UPC/GTIN lets you match Target items to the same product on other retailers. - **Review & rating intelligence** — track star ratings, review counts and the 1–5 distribution across a category to find winners and gaps. - **Assortment & brand monitoring** — see which products (and third-party sellers) a brand or category carries on Target. - **Image sourcing & content** — grab every high-resolution product image for listings or research. ### FAQ **Does it return live price and stock?** No. Target serves price and per-store availability only from its bot-protected internal API (behind a JavaScript bot challenge), so those two fields are intentionally out of scope. Everything else — catalog data, specs, reviews, images, variants — is read straight from Target's own server-rendered product pages and is stable and reliable. **Do I need an API key or login?** No. The actor reads Target's public product pages and sitemap. **How does the keyword search work?** It matches your keywords against product names in Target's public product sitemap (which lists ~2.6M products across ~115 files). It's a broad title search across the whole catalog, not Target's on-site relevance ranking — great for pulling many products in a niche. For exact products, use `productUrls` or `tcins`. **Why did some products get skipped?** Products whose page returns "not found" (a discontinued or invalid TCIN) are skipped and never billed. **Proxy.** The actor fetches directly first and falls back to the Apify Proxy (rotating exits) if a request is blocked. The default (Apify Proxy, US) works out of the box; if you ever see blocks in the log, switch the proxy group to **Residential**. ### Pricing This actor is **pay-per-result**: you're charged only for each product row returned. Skipped (not-found) and blocked pages are never charged. # Actor input Schema ## `productUrls` (type: `array`): One or more Target.com product (PDP) URLs to scrape, e.g. https://www.target.com/p/-/A-1004367031 or a full https://www.target.com/p//-/A- link. To get a URL: open target.com, click a product, and copy the page URL from your browser. Each URL returns one clean product row (set 'Expand variants' to also get one row per size/colour). Combine with TCINs and Keywords in the same run. Results are billed per product returned. ## `tcins` (type: `array`): One or more Target product IDs (TCINs). A TCIN is the number after '/A-' in any Target product URL (e.g. 1004367031 in .../-/A-1004367031). Paste a big list of TCINs to look up hundreds of products at once - each becomes one row. This is the fastest bulk input if you already have product IDs. ## `keywords` (type: `array`): Optional. Product keywords to find in Target's public product sitemap (e.g. 'coffee maker', 'lego', 'air fryer'). The actor scans Target's sitemap of ~2.6M products and scrapes those whose product name contains your keyword(s), up to 'Max products'. This is a broad catalog search over product titles, not Target's on-site relevance search - use it to pull many products in a niche. If you already have exact URLs or TCINs, use those fields instead (they are exact and faster). ## `crawlCatalog` (type: `boolean`): If ON and no URLs / TCINs / keywords are given, the actor walks Target's public product sitemap and scrapes the first 'Max products' products it finds (a raw catalog dump). Leave OFF unless you specifically want an unfiltered catalog sample. ## `expandVariants` (type: `boolean`): If ON, each size / colour / style variant of a product is returned as its OWN row (with its own TCIN, UPC and variant attributes). If OFF (default), you get one row per product with the variants summarised in a 'variants' field. Turning this ON increases the row count (and billing) for products that have many variants. ## `maxProducts` (type: `integer`): Maximum number of products to scrape in this run (across all URLs, TCINs and keyword matches). Every product returned is billed, so set this to control cost. For keyword / catalog crawls this is also the stopping point for how many sitemap matches to collect. ## `maxSitemapFiles` (type: `integer`): Only used for Keywords / Crawl-catalog mode. Target splits its product sitemap into ~115 files of ~22,000 products each. This caps how many of those files the actor downloads while collecting matches, so a rare keyword can't scan the whole catalog forever. Raise it if a keyword returns fewer products than you expect; each file is one request. ## `proxyConfiguration` (type: `object`): Proxy for reaching target.com. The actor fetches DIRECTLY first with a real Chrome TLS fingerprint (Target's product pages and sitemaps return fine this way) and only routes through this proxy - rotating exits - if a request is blocked. The default (Apify Proxy, automatic/datacenter, US) is cheap and works; if you see blocks in the log, switch the group to RESIDENTIAL. Keep the country US so category and product data stay consistent with the US site. ## Actor input object example ```json { "productUrls": [ "https://www.target.com/p/-/A-1004367031", "https://www.target.com/p/-/A-79535917" ], "tcins": [ "1004367031", "79535917", "1000000076" ], "keywords": [ "air fryer", "lego star wars", "cordless drill" ], "crawlCatalog": false, "expandVariants": false, "maxProducts": 100, "maxSitemapFiles": 8, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyCountry": "US" } } ``` # 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 = { "productUrls": [ "https://www.target.com/p/-/A-1004367031" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("scrapeworks/target-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 = { "productUrls": ["https://www.target.com/p/-/A-1004367031"], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyCountry": "US", }, } # Run the Actor and wait for it to finish run = client.actor("scrapeworks/target-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 '{ "productUrls": [ "https://www.target.com/p/-/A-1004367031" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyCountry": "US" } }' | apify call scrapeworks/target-product-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapeworks/target-product-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Target Product Scraper", "description": "Scrape Target.com products in bulk by URL, TCIN, or keyword. Get title, brand, UPC/barcode, full category, description, specifications, star rating, review count, all images, variants and seller - one clean row per product. No login or API key.", "version": "0.1", "x-build-id": "VD9tipmx68UcByoGl" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapeworks~target-product-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapeworks-target-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapeworks~target-product-scraper/runs": { "post": { "operationId": "runs-sync-scrapeworks-target-product-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapeworks~target-product-scraper/run-sync": { "post": { "operationId": "run-sync-scrapeworks-target-product-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "productUrls": { "title": "Target product URLs", "uniqueItems": true, "type": "array", "description": "One or more Target.com product (PDP) URLs to scrape, e.g. https://www.target.com/p/-/A-1004367031 or a full https://www.target.com/p//-/A- link. To get a URL: open target.com, click a product, and copy the page URL from your browser. Each URL returns one clean product row (set 'Expand variants' to also get one row per size/colour). Combine with TCINs and Keywords in the same run. Results are billed per product returned.", "items": { "type": "string" } }, "tcins": { "title": "Target TCINs (product IDs)", "uniqueItems": true, "type": "array", "description": "One or more Target product IDs (TCINs). A TCIN is the number after '/A-' in any Target product URL (e.g. 1004367031 in .../-/A-1004367031). Paste a big list of TCINs to look up hundreds of products at once - each becomes one row. This is the fastest bulk input if you already have product IDs.", "items": { "type": "string" } }, "keywords": { "title": "Keywords (optional catalog search)", "uniqueItems": true, "type": "array", "description": "Optional. Product keywords to find in Target's public product sitemap (e.g. 'coffee maker', 'lego', 'air fryer'). The actor scans Target's sitemap of ~2.6M products and scrapes those whose product name contains your keyword(s), up to 'Max products'. This is a broad catalog search over product titles, not Target's on-site relevance search - use it to pull many products in a niche. If you already have exact URLs or TCINs, use those fields instead (they are exact and faster).", "items": { "type": "string" } }, "crawlCatalog": { "title": "Crawl the whole catalog (no keyword)", "type": "boolean", "description": "If ON and no URLs / TCINs / keywords are given, the actor walks Target's public product sitemap and scrapes the first 'Max products' products it finds (a raw catalog dump). Leave OFF unless you specifically want an unfiltered catalog sample.", "default": false }, "expandVariants": { "title": "Expand variants into separate rows", "type": "boolean", "description": "If ON, each size / colour / style variant of a product is returned as its OWN row (with its own TCIN, UPC and variant attributes). If OFF (default), you get one row per product with the variants summarised in a 'variants' field. Turning this ON increases the row count (and billing) for products that have many variants.", "default": false }, "maxProducts": { "title": "Max products", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Maximum number of products to scrape in this run (across all URLs, TCINs and keyword matches). Every product returned is billed, so set this to control cost. For keyword / catalog crawls this is also the stopping point for how many sitemap matches to collect.", "default": 100 }, "maxSitemapFiles": { "title": "Max sitemap files to scan (keyword/crawl mode)", "minimum": 1, "maximum": 115, "type": "integer", "description": "Only used for Keywords / Crawl-catalog mode. Target splits its product sitemap into ~115 files of ~22,000 products each. This caps how many of those files the actor downloads while collecting matches, so a rare keyword can't scan the whole catalog forever. Raise it if a keyword returns fewer products than you expect; each file is one request.", "default": 8 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy for reaching target.com. The actor fetches DIRECTLY first with a real Chrome TLS fingerprint (Target's product pages and sitemaps return fine this way) and only routes through this proxy - rotating exits - if a request is blocked. The default (Apify Proxy, automatic/datacenter, US) is cheap and works; if you see blocks in the log, switch the group to RESIDENTIAL. Keep the country US so category and product data stay consistent with the US site.", "default": { "useApifyProxy": true, "apifyProxyCountry": "US" } } } }, "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 } } } } } } } } } } ```