# Checkout Radar (`brave_zygantrum/checkout-radar`) Actor STOP GUESSING — know if a site is transactional. CommerceRadar uses a real browser to confirm checkout flows. - **URL**: https://apify.com/brave\_zygantrum/checkout-radar.md - **Developed by:** [Etan gentil](https://apify.com/brave_zygantrum) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 4 total users, 2 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: No ratings yet ## Pricing from $25.00 / 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.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 ## Checkout Detector Detects if a website has an active, accessible checkout or payment capability. It accurately identifies e-commerce platforms, SaaS signup walls, and extracts specific payment providers. This Actor is designed to be highly reliable, using a 6-step detection cascade (including smart routing and platform-specific API probes) to minimize false positives and hallucinations. --- ### 🚀 Features - **Checkout Page Discovery (Smart Routing)**: 🚀 **MASSIVE ADVANTAGE**: You don't need to know the exact checkout URL. **Your users don't have the time to manually hunt for the checkout links of every single website.** Just provide the company's root domain (e.g. `example.com`), and our crawler will intelligently navigate the site, locate the checkout flow (whether it's `/cart`, hidden in an iframe, or a third-party modal), and extract the required data. Perfect for enriching thousands of rows in Clay where you only have domains! - **High Accuracy (6-Step Cascade)**: Transitions from passive HTML/DOM scanning to JS global checking, network interception, and active API/CTA probing. - **Payment Provider Extraction**: Identifies specific gateways and methods (Stripe, PayPal, Apple Pay, Google Pay, Visa, Mastercard, Amex, Discover, etc.). - **Platform Detection**: Recognizes major platforms like Shopify, WooCommerce, Magento, BigCommerce, Wix, etc. - **Third-Party Checkout Support**: Detects external checkout links like Gumroad, Lemon Squeezy, Paddle, FastSpring, Stripe Checkout, etc. - **SaaS "Sign Up" Awareness**: Understands when a checkout is hidden behind a SaaS login wall (`checkout_accessible: false`). --- ### 📥 Input Schema | Field | Type | Default | Description | |---|---|---|---| | `url` | String | **Required** | The URL or domain to analyze (e.g., `https://example.com`) | | `maxPages` | Integer | `5` | Maximum number of pages to crawl | | `timeoutSeconds` | Integer | `30` | Maximum execution time per page in seconds | **Example Input:** ```json { "url": "https://zuvees.ae", "maxPages": 3, "timeoutSeconds": 30 } ```` *** ### 📤 Output Schema The Actor pushes a single JSON object to the Apify Dataset per run. | Field | Type | Description | |---|---|---| | `domain` | String | The root domain of the analyzed website | | `has_checkout` | Boolean | `true` if an active checkout or payment intent was detected | | `checkout_type` | String | Categorization of the checkout (`ecommerce`, `saas`, `third_party`, `donation`, `unknown`) | | `checkout_accessible` | Boolean | `true` if the checkout can be reached without a signup/login wall (SaaS checkouts are usually `false`) | | `detection_method` | String | The strongest signal used to confirm the checkout (e.g., `shopify_probe`, `js_global`, `cta_probe`) | | `payment_providers` | Array | List of detected payment gateways and methods (e.g., `["Stripe", "Apple Pay"]`) | | `ecommerce_platform` | String | Detected platform (e.g., `Shopify`, `WooCommerce`), or null | | `confidence` | Number | Confidence score from 0.0 to 1.0 based on accumulated evidence | | `scraping_status` | Object | Metadata regarding execution time, errors, and bot blocks | **Example Output (Shopify Store):** ```json { "domain": "zuvees.ae", "has_checkout": true, "checkout_type": "ecommerce", "checkout_accessible": true, "detection_method": "shopify_probe", "payment_providers": [ "Apple Pay", "Google Pay", "Visa", "Mastercard" ], "ecommerce_platform": "Shopify", "confidence": 0.99, "evidence_score": 58, "scraping_status": { "phase_completed": "browser_scan", "blocked": false, "pages_visited": 1, "time_elapsed_ms": 8450 } } ``` *** ### 💡 Use Cases (Clay / CRM enrichment) Map the output directly to your Clay tables: - Filter prospects: Only target sites where `has_checkout` is `true` and `checkout_accessible` is `true`. - Personalize outreach: Reference their specific `ecommerce_platform` or suggest alternative `payment_providers`. - Combine with the **Pricing Detector Actor** to get a complete 360° view of a company's monetization strategy. # Actor input Schema ## `url` (type: `string`): Website URL to analyze for checkout capability ## `maxPages` (type: `integer`): Maximum number of pages to crawl ## `timeoutSeconds` (type: `integer`): Maximum execution time in seconds ## Actor input object example ```json { "url": "https://wexa.ai", "maxPages": 5, "timeoutSeconds": 30 } ``` # 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://wexa.ai" }; // Run the Actor and wait for it to finish const run = await client.actor("brave_zygantrum/checkout-radar").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 = { "url": "https://wexa.ai" } # Run the Actor and wait for it to finish run = client.actor("brave_zygantrum/checkout-radar").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 '{ "url": "https://wexa.ai" }' | apify call brave_zygantrum/checkout-radar --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=brave_zygantrum/checkout-radar", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Checkout Radar", "description": "STOP GUESSING — know if a site is transactional. CommerceRadar uses a real browser to confirm checkout flows.", "version": "0.0", "x-build-id": "hjczXNl55xfVm2m3a" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/brave_zygantrum~checkout-radar/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-brave_zygantrum-checkout-radar", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/brave_zygantrum~checkout-radar/runs": { "post": { "operationId": "runs-sync-brave_zygantrum-checkout-radar", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/brave_zygantrum~checkout-radar/run-sync": { "post": { "operationId": "run-sync-brave_zygantrum-checkout-radar", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "URL", "type": "string", "description": "Website URL to analyze for checkout capability", "default": "https://wexa.ai" }, "maxPages": { "title": "Max Pages", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum number of pages to crawl", "default": 5 }, "timeoutSeconds": { "title": "Timeout (seconds)", "minimum": 10, "maximum": 120, "type": "integer", "description": "Maximum execution time in seconds", "default": 30 } } }, "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 } } } } } } } } } } ```