# Bankrate Financial Rates Scraper (`crawlerbros/bankrate-scraper`) Actor Scrape current financial rates from Bankrate.com - mortgage rates, savings account rates, CD rates, auto loan rates, and personal loan rates from hundreds of banks and lenders. - **URL**: https://apify.com/crawlerbros/bankrate-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Automation, Agents, Developer tools - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Bankrate Financial Rates Scraper Extract current financial rates from [Bankrate.com](https://www.bankrate.com) — America's leading personal finance platform. Compare mortgage rates, savings account APYs, CD rates, auto loan rates, and personal loan rates from hundreds of banks and lenders. ### What This Actor Does - **Mortgage Rates** — Current 30-year fixed, 15-year fixed, 5/1 ARM, jumbo, and FHA rates from top lenders. - **Savings Rates** — High-yield savings account APYs, minimum deposits, and FDIC insurance status. - **CD Rates** — Certificate of Deposit rates across 3-month to 5-year terms. - **Auto Loan Rates** — New and used car loan interest rates from banks and credit unions. - **Personal Loan Rates** — Unsecured personal loan APR ranges, minimum/maximum loan amounts, and credit score requirements. ### Output Fields | Field | Description | |---|---| | `rateType` | Type: mortgage, savings, cd, autoLoan, or personalLoan | | `institutionName` | Name of the bank or lender | | `productName` | Product name (e.g. "30-Year Fixed", "High Yield CD") | | `rate` | Interest rate % | | `apr` | Annual Percentage Rate % | | `apy` | Annual Percentage Yield % (savings/CD) | | `minRate` | Minimum rate offered (personal loans) | | `maxRate` | Maximum rate offered (personal loans) | | `term` | Loan or CD term | | `minDeposit` | Minimum deposit required | | `maxDeposit` | Maximum deposit accepted | | `creditScore` | Required credit score | | `loanAmount` | Loan amount | | `monthlyPayment` | Monthly payment estimate | | `points` | Discount points | | `fees` | Origination/closing fees | | `mortgageType` | Mortgage product type | | `loanType` | Loan type (new/used car) | | `state` | State location (mortgage) | | `nmls` | NMLS license number (mortgage) | | `fdic` | FDIC insured status | | `applyUrl` | Link to apply at the institution | | `bankrateUrl` | Source Bankrate page URL | ### Input Parameters #### Mode: mortgageRates (default) ```json { "mode": "mortgageRates", "mortgageType": "30-year-fixed", "maxItems": 20 } ```` Options for `mortgageType`: `30-year-fixed`, `15-year-fixed`, `5-1-arm`, `jumbo-30-year-fixed`, `fha-30-year-fixed` (leave empty for all types) #### Mode: savingsRates ```json { "mode": "savingsRates", "maxItems": 20 } ``` #### Mode: cdRates ```json { "mode": "cdRates", "cdTerm": "1-year", "maxItems": 20 } ``` Options for `cdTerm`: `3-month`, `6-month`, `1-year`, `2-year`, `3-year`, `5-year` #### Mode: autoRates ```json { "mode": "autoRates", "autoLoanType": "new-car", "maxItems": 20 } ``` Options for `autoLoanType`: `new-car`, `used-car` #### Mode: personalLoanRates ```json { "mode": "personalLoanRates", "maxItems": 20 } ``` ### Example Output (mortgageRates) ```json { "rateType": "mortgage", "institutionName": "Wells Fargo", "mortgageType": "30-Year Fixed", "term": "30 years", "rate": 6.875, "apr": 7.025, "points": 0.5, "monthlyPayment": 1975.0, "state": "CA", "bankrateUrl": "https://www.bankrate.com/mortgages/mortgage-rates/", "recordType": "mortgageRate", "scrapedAt": "2026-06-01T12:00:00+00:00" } ``` ### Use Cases - **Rate Comparison** — Compare mortgage and savings rates across dozens of lenders automatically - **Financial Research** — Track rate trends over time with scheduled runs - **Home Buying Tools** — Integrate current mortgage rates into real estate applications - **Personal Finance Apps** — Power savings and loan comparison features - **Market Intelligence** — Monitor how banks adjust rates in response to Fed policy - **Lead Generation** — Identify competitive rate offers for financial advisory clients ### FAQ **Q: How often are rates updated?** A: Bankrate updates rates daily. Run this actor daily to capture the freshest data. **Q: How many lenders are covered?** A: Bankrate typically shows 10-50 rate offers per product type from major banks and online lenders. **Q: Are the rates actual quotes or averages?** A: Bankrate shows both national averages and individual lender rate offers (varies by page). **Q: Can I filter by state?** A: Mortgage rates vary by state. The current version fetches national listings. State-specific filtering may be added in future versions. **Q: Are credit union rates included?** A: Yes, Bankrate includes rates from both banks and credit unions. # Actor input Schema ## `mode` (type: `string`): Which type of financial rates to fetch. ## `monthsBack` (type: `integer`): Number of months of historical data to fetch (mode=historicalRates). Max 24. ## `year` (type: `integer`): Specific year to fetch (e.g. 2024). If omitted, uses current year. ## `month` (type: `integer`): Specific month number (1-12). If omitted, uses current month. ## `maxItems` (type: `integer`): Maximum number of rate records to return (each record = one trading day). ## Actor input object example ```json { "mode": "currentRates", "monthsBack": 3, "maxItems": 30 } ``` # Actor output Schema ## `rates` (type: `string`): Dataset containing all scraped financial rate records. # 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 = { "mode": "currentRates", "monthsBack": 3, "maxItems": 30 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/bankrate-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 = { "mode": "currentRates", "monthsBack": 3, "maxItems": 30, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/bankrate-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 '{ "mode": "currentRates", "monthsBack": 3, "maxItems": 30 }' | apify call crawlerbros/bankrate-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/bankrate-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bankrate Financial Rates Scraper", "description": "Scrape current financial rates from Bankrate.com - mortgage rates, savings account rates, CD rates, auto loan rates, and personal loan rates from hundreds of banks and lenders.", "version": "1.0", "x-build-id": "hzgDp3nOMxucp2Zpk" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~bankrate-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-bankrate-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~bankrate-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-bankrate-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~bankrate-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-bankrate-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "currentRates", "historicalRates" ], "type": "string", "description": "Which type of financial rates to fetch.", "default": "currentRates" }, "monthsBack": { "title": "Months back (historical mode)", "minimum": 1, "maximum": 24, "type": "integer", "description": "Number of months of historical data to fetch (mode=historicalRates). Max 24.", "default": 3 }, "year": { "title": "Year (optional)", "minimum": 1962, "maximum": 2030, "type": "integer", "description": "Specific year to fetch (e.g. 2024). If omitted, uses current year." }, "month": { "title": "Month (optional)", "minimum": 1, "maximum": 12, "type": "integer", "description": "Specific month number (1-12). If omitted, uses current month." }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of rate records to return (each record = one trading day).", "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 } } } } } } } } } } ```