# Amazon FBA Profit Calculator (`sellerview.ai/amazon-fba-profit-calculator`) Actor Calculate the true net profit, margin, ROI, and breakeven price of any Amazon FBA product after referral fees, FBA fees, COGS, shipping, storage, and ad spend. See what is actually left per unit once Amazon takes its cut. Built by Sellerview.ai. - **URL**: https://apify.com/sellerview.ai/amazon-fba-profit-calculator.md - **Developed by:** [Himanshu Gaba](https://apify.com/sellerview.ai) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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 ## Amazon FBA Profit Calculator Calculate the true net profit, margin, ROI, and breakeven price of any Amazon FBA product after the costs that quietly eat your margin: referral fees, FBA fulfillment fees, COGS, inbound shipping, storage, and ad spend. Most sellers look at revenue and assume they are profitable. This Actor shows what is actually left per unit once Amazon takes its cut. ### Input | Field | Required | Description | | --- | --- | --- | | Sale price | Yes | Your Amazon selling price, e.g. 24.99 | | Product cost / COGS | No | Manufacturing or purchase cost per unit | | Inbound shipping | No | Cost to send one unit to Amazon | | Referral fee % | No | Category referral fee, defaults to 15% | | FBA fulfillment fee | No | Per-unit FBA fee from Amazon's schedule | | Storage & other | No | Storage, returns allowance, prep, misc | | Ad cost per unit | No | Average PPC spend per unit sold | ### Output A dataset record with a full cost **breakdown** plus **results**: net profit, profit margin, ROI, breakeven price, and a simple profitability flag. ```json { "results": { "netProfit": 6.49, "profitMargin": 25.97, "roi": 86.53, "breakevenPrice": 17.35, "isProfitable": true } } ```` ### From one product to your whole catalog This calculator runs one product at a time. Real Amazon businesses leak profit across hundreds of SKUs at once, and the leaks are rarely where you expect. [Sellerview.ai](https://sellerview.ai/) spots those profit leaks automatically at the SKU level, pulling TACoS, ACoS, ad spend, fees, and margins into one place so you know exactly where money is being made and where it is quietly disappearing. Try the full SKU-level dashboard: [sellerview.ai/amazon-fba-profit-calculator](https://sellerview.ai/amazon-fba-profit-calculator). Plans start at $15/month with a 30-day free trial. Built by Himanshu Gaba, Founder of Sellerview.ai. # Actor input Schema ## `salePrice` (type: `string`): Your Amazon selling price, e.g. 24.99 ## `productCost` (type: `string`): Manufacturing or purchase cost per unit ## `inboundShipping` (type: `string`): Cost to ship one unit to Amazon ## `referralFeePercent` (type: `string`): Category referral fee. Most categories are 15%. ## `fbaFee` (type: `string`): Per-unit FBA fee from Amazon's fee schedule (size and weight based) ## `storageAndOther` (type: `string`): Optional: storage, returns allowance, prep, misc ## `adCostPerUnit` (type: `string`): Optional: average PPC spend per unit sold ## Actor input object example ```json { "salePrice": "24.99", "productCost": "6.00", "inboundShipping": "1.50", "referralFeePercent": "15", "fbaFee": "4.75", "storageAndOther": "0.50", "adCostPerUnit": "2.00" } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "salePrice": "24.99", "productCost": "6.00", "inboundShipping": "1.50", "referralFeePercent": "15", "fbaFee": "4.75", "storageAndOther": "0.50", "adCostPerUnit": "2.00" }; // Run the Actor and wait for it to finish const run = await client.actor("sellerview.ai/amazon-fba-profit-calculator").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "salePrice": "24.99", "productCost": "6.00", "inboundShipping": "1.50", "referralFeePercent": "15", "fbaFee": "4.75", "storageAndOther": "0.50", "adCostPerUnit": "2.00", } # Run the Actor and wait for it to finish run = client.actor("sellerview.ai/amazon-fba-profit-calculator").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 '{ "salePrice": "24.99", "productCost": "6.00", "inboundShipping": "1.50", "referralFeePercent": "15", "fbaFee": "4.75", "storageAndOther": "0.50", "adCostPerUnit": "2.00" }' | apify call sellerview.ai/amazon-fba-profit-calculator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=sellerview.ai/amazon-fba-profit-calculator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon FBA Profit Calculator", "description": "Calculate the true net profit, margin, ROI, and breakeven price of any Amazon FBA product after referral fees, FBA fees, COGS, shipping, storage, and ad spend. See what is actually left per unit once Amazon takes its cut. Built by Sellerview.ai.", "version": "0.0", "x-build-id": "6ARqOgIGbAapz76OI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sellerview.ai~amazon-fba-profit-calculator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sellerview.ai-amazon-fba-profit-calculator", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/sellerview.ai~amazon-fba-profit-calculator/runs": { "post": { "operationId": "runs-sync-sellerview.ai-amazon-fba-profit-calculator", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/sellerview.ai~amazon-fba-profit-calculator/run-sync": { "post": { "operationId": "run-sync-sellerview.ai-amazon-fba-profit-calculator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "salePrice" ], "properties": { "salePrice": { "title": "Sale price ($)", "type": "string", "description": "Your Amazon selling price, e.g. 24.99" }, "productCost": { "title": "Product cost / COGS ($)", "type": "string", "description": "Manufacturing or purchase cost per unit" }, "inboundShipping": { "title": "Inbound shipping per unit ($)", "type": "string", "description": "Cost to ship one unit to Amazon" }, "referralFeePercent": { "title": "Referral fee (%)", "type": "string", "description": "Category referral fee. Most categories are 15%." }, "fbaFee": { "title": "FBA fulfillment fee per unit ($)", "type": "string", "description": "Per-unit FBA fee from Amazon's fee schedule (size and weight based)" }, "storageAndOther": { "title": "Storage & other costs per unit ($)", "type": "string", "description": "Optional: storage, returns allowance, prep, misc" }, "adCostPerUnit": { "title": "Ad cost per unit ($)", "type": "string", "description": "Optional: average PPC spend per unit sold" } } }, "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 } } } } } } } } } } ```