# View Zillow 30-Year Mortgage Rate History

**Use case:** 

Retrieve Zillow's national 30-year fixed purchase rate history from November 2015 onward, sampled monthly. Records include current rate, APR, rate date, and historical rate trends for homebuyers, financial writers, and analysts. Change historyDays or historyAggregation to adjust the time span and sampling interval.

## Input

```json
{
  "loanPrograms": [
    "30yr-fixed"
  ],
  "loanPurpose": "purchase",
  "states": [
    "national"
  ],
  "creditScore": "veryHigh",
  "loanAmount": "conforming",
  "includeRateHistory": true,
  "historyDays": "4000",
  "historyAggregation": "monthly",
  "includeHomeLoanRates": false,
  "includeLenderDirectory": false,
  "lenderLocations": [],
  "maxLenders": 5,
  "includeLenderProfiles": false
}
```

## Output

```json
{
  "recordType": {
    "label": "Type",
    "format": "string"
  },
  "loanType": {
    "label": "Product",
    "format": "string"
  },
  "loanPurpose": {
    "label": "Purpose",
    "format": "string"
  },
  "scope": {
    "label": "Scope",
    "format": "string"
  },
  "state": {
    "label": "State",
    "format": "string"
  },
  "currentRate": {
    "label": "Rate %",
    "format": "number"
  },
  "currentApr": {
    "label": "APR %",
    "format": "number"
  },
  "rateDate": {
    "label": "Rate Date",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Zillow Daily Mortgage Rate & Lender Quote Scraper Actor is ready to run with the inputs already set for "View Zillow 30-Year Mortgage Rate History". [Sign up or log in](https://console.apify.com/create-task-from-example/RyCxzTGVv6JOBxMk5) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "View Zillow 30-Year Mortgage Rate History" task

The Zillow Daily Mortgage Rate & Lender Quote Scraper Actor will start running based on the input automatically. You can also change all the input fields, like loan programs, loan purpose, and more, to match your specific use case.

### 3. Receive the "View Zillow 30-Year Mortgage Rate History" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as type, product, purpose, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "View Zillow 30-Year Mortgage Rate History" task via API](https://apify.com/vexaloom-labs/zillow-daily-mortgage-rate-and-lender-quote.md).

## FAQ

### How do I get a 30 year mortgage rate history chart from Zillow?

Running the 30 year mortgage rate history task retrieves Zillow national 30-year fixed purchase rate history from November 2015 onward, sampled monthly, with records including current rate, APR, and rate date.

### Can I export data from the 30 year mortgage rate history task to CSV or Excel?

Results from the 30 year mortgage rate history task land in a dataset that can be downloaded as JSON, CSV, Excel, XML, RSS, or an HTML table, or read through the Apify API.

### How much does it cost to run the 30 year mortgage rate history task?

Starting the 30 year mortgage rate history task costs $0.10 on Free and $0.077 on Bronze, plus $0.99 per 1,000 results on Free and $0.82 on Bronze, alongside Apify platform compute usage.

### Can I automate the 30 year mortgage rate history task on a schedule or via API?

Scheduling the 30 year mortgage rate history task is supported through Apify Schedules, the Apify API, or integrations like Zapier, Make, and n8n.

### Is it legal to scrape mortgage rates using the 30 year mortgage rate history task?

Lawfulness depends on your purpose, Zillow's terms, and data-protection laws like GDPR or CCPA, and the person running the 30 year mortgage rate history task is responsible for compliance.

### What data does the 30 year mortgage rate history task include in each record?

Records from the 30 year mortgage rate history task contain recordType, loanType, loanPurpose, scope, state, currentRate, currentApr, and rateDate under the dataset overview.

### How far back does the history go in the 30 year mortgage rate history task?

Zillow history starts in November 2015, and the 30 year mortgage rate history task lets you request up to 4000 days of history with daily, weekly, or monthly aggregation intervals.

## About this Actor

This example demonstrates how to use [Zillow Daily Mortgage Rate & Lender Quote Scraper](https://apify.com/vexaloom-labs/zillow-daily-mortgage-rate-and-lender-quote.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/vexaloom-labs/zillow-daily-mortgage-rate-and-lender-quote.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/vexaloom-labs/zillow-daily-mortgage-rate-and-lender-quote.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).