# Target Product Scraper - Extract Data Instantly (`parseforge/target-scraper`) Actor Extract product data from Target.com effortlessly. This powerful scraper collects prices, reviews, descriptions, images, and availability in real-time. Perfect for price monitoring, competitor analysis, and market research. Export data in multiple formats. Fast, reliable, and easy to use. - **URL**: https://apify.com/parseforge/target-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 43 total users, 10 monthly users, 100.0% runs succeeded, 4 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $4.00 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true) ## ๐ŸŽฏ Target Scraper > ๐Ÿš€ **Pull product data from Target.com in minutes.** Names, prices, ratings, descriptions, specifications. No API key. > ๐Ÿ•’ **Last updated:** 2026-05-09 ยท **๐Ÿ“Š 20+ fields** per product ยท **๐Ÿ” Category + product URL inputs** ยท **๐Ÿšซ No auth** required Pull live product data from Target.com, the fourth-largest US retailer. The actor accepts a list of category or product URLs, walks the result pages, and returns one structured record per product ready for price intelligence, brand monitoring, marketplace research, or retail analytics. Every run fetches data live so you get the current state of Target at run time. Records include the product name, brand, TCIN (Target's product ID), price, rating, review count, image, full description, specifications, availability, and a back-reference URL. | ๐Ÿ‘ฅ Built for | ๐ŸŽฏ Primary use cases | |---|---| | Price intelligence teams | Track Target prices vs Walmart, Amazon | | Brand and trade marketing | Monitor product placement on Target | | Marketplace sellers | Benchmark Target assortment | | E-commerce analysts | Build US retail dashboards | | Procurement | Validate supplier pricing on Target | | Researchers | Study mass-market retail trends | --- ### ๐Ÿ“‹ What the Target Scraper does - ๐ŸŽฏ **Two input types.** Category page URLs or direct product URLs. - ๐Ÿ’ฐ **Pricing.** Current price plus sale price where exposed. - โญ **Ratings.** Average rating and review count. - ๐Ÿท๏ธ **Brand and TCIN.** Brand name and Target's internal TCIN ID. - ๐Ÿ“ฆ **Availability.** In-stock flag. - ๐Ÿ–ผ๏ธ **Images.** Primary product image URL. - ๐Ÿ“ƒ **Full detail.** Set `includeDetails: true` for description and specs. The scraper walks Target's results, optionally fetches each product detail page, and pushes structured records to the dataset. > ๐Ÿ’ก **Why it matters:** Target has tens of thousands of SKUs but its catalog is JS-rendered and lacks bulk export. A live, structured pull beats manual scraping for price intelligence and brand monitoring. --- ### ๐ŸŽฌ Full Demo ๐Ÿšง Coming soon: a 3-minute walkthrough showing setup, a live run, and how to pipe results into Google Sheets via Apify integrations. --- ### โš™๏ธ Input | Field | Type | Name | Description | |---|---|---|---| | startUrls | array | Start URLs | Target category or product URLs. | | maxItems | integer | Max Items | Free users: limited to 10 items (preview). Paid users: optional, max 1,000,000. | | includeDetails | boolean | Include Details | When true, fetches each product detail page for full info. | | proxyConfiguration | object | Proxy | Proxy settings. Defaults to Apify residential pool. | Example 1. Cereal category list-view. ```json { "startUrls": [{"url": "https://www.target.com/c/cereal-breakfast-grocery/-/N-5xt0g"}], "maxItems": 50 } ```` Example 2. Beauty category with full detail. ```json { "startUrls": [{"url": "https://www.target.com/c/skin-care-beauty/-/N-4y5pf"}], "includeDetails": true, "maxItems": 100 } ``` > โš ๏ธ **Good to Know:** Target requires residential proxies. Default proxyConfiguration uses the Apify pool. Toggle `includeDetails: false` for fastest runs. *** ### ๐Ÿ“Š Output The dataset returns one structured record per product. Each record carries identifiers, name, brand, TCIN, price, rating, image, description, specs, and a back-reference URL. Consume the dataset as JSON, CSV, Excel, XML, or RSS via the Apify console or API. #### ๐Ÿงพ Schema | Field | Type | Example | |---|---|---| | ๐Ÿ†” tcin | string | `54321987` | | ๐Ÿ›๏ธ name | string | `Cheerios Cereal Family Size` | | ๐Ÿท๏ธ brand | string | `General Mills` | | ๐Ÿ’ฐ price | number | `5.99` | | ๐Ÿ’ต salePrice | number or null | `4.99` | | ๐Ÿ’ฑ currency | string | USD | | โญ rating | number | `4.7` | | ๐Ÿ’ฌ reviewCount | number | `1850` | | ๐Ÿ“ฆ available | boolean | true | | ๐Ÿ–ผ๏ธ imageUrl | string (url) | `https://target.scene7.com/.../primary.jpg` | | ๐Ÿ“ƒ description | string | `Whole grain oat cereal` | | ๐Ÿ“ specifications | object | `{"weight":"18 oz","servings":"12"}` | | ๐Ÿท๏ธ category | string | `Cereal & Breakfast Grocery` | | ๐Ÿ”— productUrl | string (url) | `https://www.target.com/p/.../A-54321987` | | ๐Ÿ“… scrapedAt | ISO datetime | `2026-05-09T12:00:00.000Z` | #### ๐Ÿ“ฆ Sample records ##### 1. Typical record (cereal product) ```json { "tcin": "54321987", "name": "Cheerios Cereal Family Size", "brand": "General Mills", "price": 5.99, "salePrice": 4.99, "currency": "USD", "rating": 4.7, "reviewCount": 1850, "available": true, "imageUrl": "https://target.scene7.com/abc/primary.jpg", "description": "Whole grain oat cereal in a family-sized box.", "specifications": {"weight": "18 oz", "servings": "12"}, "category": "Cereal & Breakfast Grocery", "productUrl": "https://www.target.com/p/cheerios-family-size/A-54321987", "scrapedAt": "2026-05-09T12:00:00.000Z" } ``` ##### 2. Beauty product ```json { "tcin": "23456789", "name": "CeraVe Moisturizing Cream", "brand": "CeraVe", "price": 18.99, "currency": "USD", "rating": 4.8, "reviewCount": 12500, "available": true, "imageUrl": "https://target.scene7.com/def/primary.jpg", "category": "Skin Care", "productUrl": "https://www.target.com/p/cerave-moisturizing-cream/A-23456789", "scrapedAt": "2026-05-09T12:00:00.000Z" } ``` ##### 3. Sparse record (out-of-stock product) ```json { "tcin": "99999999", "name": "Limited Edition Holiday Item", "brand": "Target", "price": null, "currency": "USD", "available": false, "category": "Holiday", "productUrl": "https://www.target.com/p/limited-holiday/A-99999999", "scrapedAt": "2026-05-09T12:00:00.000Z" } ``` *** ### โœจ Why choose this Actor | | Capability | |---|---| | ๐ŸŽฏ | **Built for the job.** Scoped specifically to Target.com so you skip the parser engineering entirely. | | ๐Ÿ”– | **Structured output.** Clean, typed fields ready for analysis, dashboards, or downstream pipelines. | | โšก | **Fast.** Optimized request patterns return results in seconds, not minutes. | | ๐Ÿ” | **Always fresh.** Every run pulls live data, so the dataset reflects Target as of run time. | | ๐ŸŒ | **No infra to manage.** Apify handles proxies, retries, scaling, scheduling, and storage. | | ๐Ÿ›ก๏ธ | **Reliable.** Battle-tested across many runs and edge cases, with graceful error handling. | | ๐Ÿšซ | **No code required.** Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK. | > ๐Ÿ“Š Production-grade structured retail data without the engineering overhead of building and maintaining your own scraper. *** ### ๐Ÿ“ˆ How it compares to alternatives | Approach | Cost | Coverage | Refresh | Filters | Setup | |---|---|---|---|---|---| | **โญ Target Scraper** *(this Actor)* | $5 free credit, then pay-per-use | Full Target catalog | **Live per run** | Category + product URL | โšก 2 min | | Build your own scraper | Engineering hours | Full once built | Whenever you maintain it | Custom code | ๐Ÿข Days to weeks | | Paid retail-intel platforms | $$$ monthly | Vendor-defined | Periodic | Vendor-defined | โณ Hours | | Manual searches | Hours per check | Limited | Stale | Manual | ๐Ÿ•’ Variable | Pick this Actor when you want broad coverage, source-native filtering, and no pipeline maintenance. *** ### ๐Ÿš€ How to use 1. ๐Ÿ“ **Sign up.** [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) (takes 2 minutes). 2. ๐ŸŒ **Open the Actor.** Go to the Target Scraper page on the Apify Store. 3. ๐ŸŽฏ **Set URLs.** Paste category or product URLs into startUrls, then set maxItems. 4. ๐Ÿš€ **Run it.** Click **Start** and let the Actor collect your data. 5. ๐Ÿ“ฅ **Download.** Grab your results in the **Dataset** tab as CSV, Excel, JSON, or XML. > โฑ๏ธ Total time from signup to downloaded dataset: **3-5 minutes.** No coding required. *** ### ๐Ÿ’ผ Business use cases
#### ๐Ÿ“Š Price intelligence - Track Target prices vs Walmart, Amazon - Monitor sale-pricing patterns - Build comp sets across retailers - Alert on competitor undercutting #### ๐Ÿข Brand and trade marketing - Monitor product placement on Target - Track shelf share by category - Build assortment dashboards by brand - Spot grey-market resellers
#### ๐ŸŽฏ Marketplace strategy - Identify undersold brand SKUs - Build inventory feeds for cross-listing - Track listing-count trends per category - Power BD outreach to verified brands #### ๐Ÿ› ๏ธ Engineering and product - Prototype retail-data products without owning a crawler - Replace fragile in-house Target scrapers - Wire datasets into your apps via the Apify API or webhooks - Skip the proxy, retry, and parsing maintenance entirely
*** ### ๐ŸŒŸ Beyond business use cases Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.
#### ๐ŸŽ“ Research and academia - Empirical datasets for papers, thesis work, and coursework - Longitudinal studies tracking changes across snapshots - Reproducible research with cited, versioned data pulls - Classroom exercises on data analysis and ethical scraping #### ๐ŸŽจ Personal and creative - Side projects, portfolio demos, and indie app launches - Data visualizations, dashboards, and infographics - Content research for bloggers, YouTubers, and podcasters - Hobbyist collections and personal trackers
#### ๐Ÿค Non-profit and civic - Transparency reporting and accountability projects - Advocacy campaigns backed by public-interest data - Community-run databases for local issues - Investigative journalism on public records #### ๐Ÿงช Experimentation - Prototype AI and machine-learning pipelines with real data - Validate product-market hypotheses before engineering spend - Train small domain-specific models on niche corpora - Test dashboard concepts with live input
*** ### ๐Ÿ”Œ Automating Target Scraper This Actor exposes a REST endpoint, so you can drive it from any language or workflow tool. - **Node.js** - call it via the [Apify JS SDK](https://docs.apify.com/sdk/js). - **Python** - call it via the [Apify Python SDK](https://docs.apify.com/sdk/python). - **REST** - hit it directly through the [Apify v2 API](https://docs.apify.com/api/v2). **Schedules.** Use Apify Scheduler to capture daily price snapshots. Combine with the Apify dataset diff tools to alert on price changes between runs. *** ### โ“ Frequently Asked Questions
๐Ÿ’ณ Do I need a paid Apify plan to run this actor? No. You can start right now on the free Apify plan, which includes **$5 in monthly credit**. That is enough to run the scraper several times and explore the output. Paid plans unlock higher item caps, more concurrent runs, and larger datasets. [Create a free Apify account here](https://console.apify.com/sign-up?fpr=vmoqkp).
๐Ÿšจ What happens if my run fails or returns no results? Failed runs are not charged. If Target changes its DOM, proxies get rate-limited, or your URLs match nothing, re-run the actor or open our [contact form](https://tally.so/r/BzdKgA) and we will look into it.
๐Ÿ“ How many items can I scrape per run? Free users are limited to **10 items per run** so you can preview the output. Paid users can raise maxItems up to **1,000,000** per run.
๐Ÿ•’ How fresh is the data? Every run fetches live data at the moment of execution. There is no cache or delay: records reflect what Target returned at run time.
๐Ÿง‘โ€๐Ÿ’ป Can I call this actor from my own code? Yes. Apify exposes every actor as a REST endpoint and ships first-class SDKs for [Node.js](https://docs.apify.com/sdk/js) and [Python](https://docs.apify.com/sdk/python). You can start a run, read the dataset, and handle webhooks from your own app in a few lines.
๐Ÿ“ค How do I export the data? Every Apify dataset can be downloaded in one click as CSV, JSON, JSONL, Excel, HTML, XML, or RSS. You can also pull results programmatically via the [Apify API](https://docs.apify.com/api/v2) or stream into BigQuery, S3, and other destinations through built-in integrations.
๐Ÿ“… Can I schedule the actor to run automatically? Yes. Use the Apify scheduler to run the actor on any cadence, from hourly to monthly. Results are saved to your dataset and can be delivered to webhooks, email, Slack, cloud storage, or automation tools such as Zapier and Make.
๐Ÿช Can I use the data commercially? Yes. The scraped data is yours to use in your own internal pipelines, products, and reports, subject to the terms of service of the source site.
๐Ÿ’ผ Which plan should I pick for production use? Apify's Starter and Scale plans are designed for production workloads. Pick the plan that matches your dataset size and refresh cadence.
๐Ÿ› ๏ธ The data I need is not in the output. Can you add it? Most likely yes. Open the [contact form](https://tally.so/r/BzdKgA) and tell us which field you need.
โš–๏ธ Is scraping Target legal? This Actor only collects data from publicly accessible Target pages, the same content any visitor can read. Public web scraping is generally legal in most jurisdictions for non-personal data, but laws vary by country and use case. You are responsible for compliance with the source site's Terms of Service and applicable law. ***
### ๐Ÿ”Œ Integrate with any app Target Scraper connects to any cloud service via [Apify integrations](https://apify.com/integrations): - [**Make**](https://docs.apify.com/platform/integrations/make) - Automate multi-step workflows - [**Zapier**](https://docs.apify.com/platform/integrations/zapier) - Connect with 5,000+ apps - [**Slack**](https://docs.apify.com/platform/integrations/slack) - Get run notifications in your channels - [**Airbyte**](https://docs.apify.com/platform/integrations/airbyte) - Pipe results into your warehouse - [**GitHub**](https://docs.apify.com/platform/integrations/github) - Trigger runs from commits and releases - [**Google Drive**](https://docs.apify.com/platform/integrations/drive) - Export datasets straight to Sheets You can also use webhooks to trigger downstream actions when a run finishes. *** ### ๐Ÿ”— Recommended Actors - [**๐Ÿ›’ Walmart Scraper**](https://apify.com/parseforge/walmart-scraper) - Walmart catalog with prices - [**๐Ÿ›’ Amazon Scraper**](https://apify.com/parseforge/amazon-scraper) - Amazon product listings - [**๐Ÿ›’ Costco Scraper**](https://apify.com/parseforge/costco-scraper) - Costco catalog with prices - [**๐Ÿพ Chewy.com Scraper**](https://apify.com/parseforge/chewy-com-scraper) - Pet product listings - [**๐Ÿ›’ Walmart Grocery Scraper**](https://apify.com/parseforge/walmart-grocery-scraper) - Walmart grocery listings > ๐Ÿ’ก **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for more reference-data scrapers. *** **๐Ÿ†˜ Need Help?** [**Open our contact form**](https://tally.so/r/BzdKgA) to request a new scraper, propose a custom project, or report an issue. *** > โš ๏ธ **Disclaimer.** This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Target Corporation. All trademarks mentioned are the property of their respective owners. The scraper accesses only publicly available pages and is intended for legitimate research, analytics, and lead-generation use. Users are responsible for compliance with the source site's Terms of Service and applicable law. # Actor input Schema ## `startUrls` (type: `array`): Target.com category or product URLs to scrape (e.g., https://www.target.com/c/cereal-breakfast-grocery/-/N-5xt0g) ## `maxItems` (type: `integer`): Maximum number of products to extract. Free users: Limited to 100. Paid users: Optional, max 1,000,000 ## `includeDetails` (type: `boolean`): Fetch individual product pages for full details (price, rating, description). Slower but more data. ## `proxyConfiguration` (type: `object`): Proxy settings for reliable scraping ## Actor input object example ```json { "startUrls": [ { "url": "https://www.target.com/c/cereal-breakfast-grocery/-/N-5xt0g" } ], "maxItems": 10, "includeDetails": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `overview` (type: `string`): Complete dataset with all product fields # 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 = { "startUrls": [ { "url": "https://www.target.com/c/cereal-breakfast-grocery/-/N-5xt0g" } ], "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/target-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 = { "startUrls": [{ "url": "https://www.target.com/c/cereal-breakfast-grocery/-/N-5xt0g" }], "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("parseforge/target-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 '{ "startUrls": [ { "url": "https://www.target.com/c/cereal-breakfast-grocery/-/N-5xt0g" } ], "maxItems": 10 }' | apify call parseforge/target-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/target-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Target Product Scraper - Extract Data Instantly", "description": "Extract product data from Target.com effortlessly. This powerful scraper collects prices, reviews, descriptions, images, and availability in real-time. Perfect for price monitoring, competitor analysis, and market research. Export data in multiple formats. Fast, reliable, and easy to use.", "version": "1.0", "x-build-id": "GfbQcpPbBMaJdTwVo" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~target-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~target-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-target-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~target-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-target-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Target.com category or product URLs to scrape (e.g., https://www.target.com/c/cereal-breakfast-grocery/-/N-5xt0g)", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Maximum number of products to extract. Free users: Limited to 100. Paid users: Optional, max 1,000,000" }, "includeDetails": { "title": "Include Details", "type": "boolean", "description": "Fetch individual product pages for full details (price, rating, description). Slower but more data.", "default": false }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Proxy settings for reliable scraping", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```