# Bankrate Mortgage Rates Scraper (`parseforge/bankrate-mortgage-rates-scraper`) Actor Extract current mortgage rate data from Bankrate.com. Get lender names, interest rates, APR, loan terms, and points. Use this data for competitive analysis or rate trend tracking. The tool navigates the main rates page, handling anti-bot protections to deliver structured rate information. - **URL**: https://apify.com/parseforge/bankrate-mortgage-rates-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** Real estate - **Stats:** 2 total users, 1 monthly users, 80.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.07 / 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/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 ![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true) ## Bankrate Mortgage Rates Scraper Scrape current mortgage rates from Bankrate.com with this stealth browser actor. It extracts lender names, loan types, interest rates, annual percentage rates (APRs), points, fees, and monthly payment estimates for both fixed-rate and adjustable-rate mortgages. Perfect for building market dashboards, rate comparison tools, or feeding lead-gen pipelines. ### Features - Extracts all visible mortgage rate offers from the Bankrate comparison table - Captures lender, product, rate, APR, points, fees, and monthly payment details - Handles AWS WAF and bot protection with a stealth browser and residential proxies - Outputs clean, structured JSON ready for databases or spreadsheets - Configurable maximum number of listings to scrape ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | startUrl | string | https://www.bankrate.com/mortgages/mortgage-rates/ | The URL of the Bankrate mortgage rates page to scrape. | | maxItems | integer | 100 | Maximum number of rate listings to scrape from the page. | | proxyConfiguration | object | Use Apify Proxy | Select proxy settings for the scraper. | ### Output A single dataset item looks like this: ```json { "lenderName": "Quicken Loans", "loanType": "30-year fixed", "interestRate": 6.875, "apr": 7.012, "points": 0.75, "fees": 1295, "monthlyPayment": 1314, "loanTerm": "30 years", "sourceUrl": "https://www.bankrate.com/mortgages/mortgage-rates/", "scrapedAt": "2025-04-12T09:23:11.123Z" } ```` ### Usage Run the actor on Apify, set the start URL (or leave the default), choose your proxy configuration, and start the scraper. Once finished, download the dataset in JSON, CSV, or Excel format. New to Apify? [Sign up here](https://console.apify.com/sign-up?fpr=vmoqkp) and get free monthly credits to begin scraping mortgage rates instantly. **🆘 Need Help?** [Open our contact form](https://tally.so/r/BzdKgA) > **⚠️ Disclaimer:** independent tool, not affiliated with the source website. Only publicly available data is collected. # Actor input Schema ## `startUrl` (type: `string`): The URL of the Bankrate mortgage rates page to scrape. ## `maxItems` (type: `integer`): Maximum number of rate listings to scrape from the page. ## Actor input object example ```json { "startUrl": "https://www.bankrate.com/mortgages/mortgage-rates/", "maxItems": 10 } ``` # 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 = { "startUrl": "https://www.bankrate.com/mortgages/mortgage-rates/", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/bankrate-mortgage-rates-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 = { "startUrl": "https://www.bankrate.com/mortgages/mortgage-rates/", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("parseforge/bankrate-mortgage-rates-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 '{ "startUrl": "https://www.bankrate.com/mortgages/mortgage-rates/", "maxItems": 10 }' | apify call parseforge/bankrate-mortgage-rates-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/bankrate-mortgage-rates-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bankrate Mortgage Rates Scraper", "description": "Extract current mortgage rate data from Bankrate.com. Get lender names, interest rates, APR, loan terms, and points. Use this data for competitive analysis or rate trend tracking. The tool navigates the main rates page, handling anti-bot protections to deliver structured rate information.", "version": "0.0", "x-build-id": "0sYhmHhDFjvdunjqu" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~bankrate-mortgage-rates-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-bankrate-mortgage-rates-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~bankrate-mortgage-rates-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-bankrate-mortgage-rates-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~bankrate-mortgage-rates-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-bankrate-mortgage-rates-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrl" ], "properties": { "startUrl": { "title": "Start URL", "type": "string", "description": "The URL of the Bankrate mortgage rates page to scrape." }, "maxItems": { "title": "Maximum items", "type": "integer", "description": "Maximum number of rate listings to scrape from the page.", "default": 100 } } }, "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 } } } } } } } } } } ```