Use Zillow Daily Mortgage Rate & Lender Quote Scraper with Python

Pull Zillow's national mortgage rates, APR, and daily rate trend by loan type, with optional individual lender quotes per state.

1. Choose the data you need

Review the published README for supported collection modes, examples, and limits. The recipe below uses the current published input definition.

2. Prepare a source-based input

This JSON contains published prefills and required-field defaults. Review every value for your task before running it; it is not a promise of successful collection.

{
  "creditScore": "veryHigh",
  "historyAggregation": "daily",
  "historyDays": "90",
  "includeHomeLoanRates": true,
  "includeLenderDirectory": false,
  "includeLenderProfiles": false,
  "includeRateHistory": false,
  "lenderLocations": [],
  "loanAmount": "conforming",
  "loanPrograms": [
    "30yr-fixed"
  ],
  "loanPurpose": "purchase",
  "maxLenders": 5,
  "states": [
    "national"
  ]
}

Download input.example.json and save your reviewed copy as input.json.

Field	Type	Required	Description
`loanPrograms`	array	optional	Which Zillow rate products to request. Leave empty to include all nine.
`loanPurpose`	string	optional	Return purchase rates, refinance rates, or both.
`states`	array	optional	National plus any states. State-level coverage is widest for 30-year and 15-year products.
`creditScore`	string	optional	Credit-score assumption used for the rate query.
`loanAmount`	string	optional	Loan-size assumption. Jumbo 30-year always uses the jumbo bucket.
`includeRateHistory`	boolean	optional	Add a daily, weekly, or monthly rate history to each rate record.
`historyDays`	string	optional	How far back to fetch history. Zillow's maximum is 4000 days.
`historyAggregation`	string	optional	Sampling interval for the rate history.
`includeHomeLoanRates`	boolean	optional	Attach Zillow Home Loans sample rates with points, fees, and monthly payment.
`includeLenderDirectory`	boolean	optional	Also return Zillow mortgage lender directory records with names, logos, ratings, and reviews.
`lenderLocations`	array	optional	Cities, states, or ZIP codes for the lender directory, e.g. Austin, TX or 90210. Used only when the directory is enabled.
`maxLenders`	integer	optional	Maximum lender records to return when the directory is enabled (1–200).
`includeLenderProfiles`	boolean	optional	Fetch full profiles for up to 50 lenders: address, phone, website, licenses, and biography.

3. Start an Actor run

Set APIFY_TOKEN in your environment. Python 3.10 or newer is sufficient; this recipe uses no third-party packages.

Execution may incur charges. Review current pricing on Apify. The request asks for a 120-second timeout and a charge limit; these settings are subject to Apify’s pricing and do not guarantee an all-inclusive spending cap.

import json
import os
import urllib.request

# Save the schema-derived example as input.json; review and edit it first.
with open("input.json", encoding="utf-8") as stream:
    actor_input = json.load(stream)

token = os.environ["APIFY_TOKEN"]
request = urllib.request.Request(
    "https://api.apify.com/v2/acts/QsAgLESqqB6QJMbMv/runs?timeout=120&maxTotalChargeUsd=0.50",
    data=json.dumps(actor_input).encode("utf-8"),
    headers={"Authorization": "Bearer " + token, "Content-Type": "application/json"},
    method="POST",
)
# This starts a potentially billable run. Do not automatically retry this POST.
with urllib.request.urlopen(request, timeout=40) as response:
    run = json.load(response)["data"]
print("Run ID:", run["id"])
print("Status:", run["status"])
# Inspect and download results in Apify Console once the run succeeds.

4. Inspect the actual results

Open the run in Apify Console and wait for a successful completion. Use the published output schema to locate results and the dataset schema to understand declared views. Missing or optional record fields must not be treated as guaranteed values.

Zillow mortgage rate records by product and state, plus optional Zillow lender directory profiles.

Questions before you run

Which inputs are required?

No top-level fields are marked required in the published schema. Conditional requirements can still apply; check the README.

What does this guide verify?

The fields, prefills, and schema links are rendered from the published build. This is a usage recipe, not a paid live extraction test. Source availability and collection results can vary.

What if the run request times out?

Check Apify Console before retrying. The first request may already have created a run. Do not automatically repeat a run-creation POST.

Open on Apify Full Actor reference

Generated from source build 9cX9po19xSFNYJ0pb and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.