Zillow county home value trends in n8n
Get US county-level home value trends with 6- and 12-month comparisons and year-over-year percent change, plus a state-by-state home value comparison, from Zillow's published research files. Filter by state and county.
What this workflow does
Import it and n8n runs the Zillow Research County Home Value Trend Scraper Actor on Apify every day at 08:00 with the starter input below. Each row comes back with county name, state code, state name, metro and 12 more. A Google Sheets append is included and stays off until you add your sheet. The only credential it needs is your Apify API token.
Read from the workflow file, built for Zillow Research County Home Value Trend Scraper version 1.1.1. Updated 2026-11-14.How the rows travel
6 nodes, in the order n8n runs them. The yellow stop is the call to the Apify Actor; the dashed stop is optional.
- Daily trigger Schedule trigger
- Configure input Code
- Run Apify Actor HTTP Request
- Normalize + dedupe Code
- Rows ready No operation
- Google Sheets (optional) Google Sheets, off until you switch it on
From the Short
This workflow is the one the video points to: the number in each video opens this page.
Input
The Configure input node holds the starter input. Change it there; every setting the Actor accepts is listed below.
{
"mode": "stateTrends",
"maxItems": 25
}| Setting | Type | Required | Default | What it does |
|---|---|---|---|---|
| mode | string | Yes | countyTrends | What to return: one trend row per county, per state, per metro, or one history row per region per month. 7 choices. |
| homeType | string | No | allHomesMidTier | Which Zillow Home Value Index series to read. All ten cuts are available at county, state, and metro level. 10 choices. |
| state | string | No | all | Filter counties, metros, or history to one state, or pick a single state in stateTrends. Choose 'all' to include every state. Two-letter codes are accepted by the API. 52 choices. |
| county | string | No | – | Case-insensitive county-name substring, e.g. 'Gallatin' or 'Los Angeles'. Works in countyTrends and county history. Use regionIds for exact matching. |
| regionIds | array | No | – | Exact Zillow RegionIDs, e.g. ['3101', '1090']. Works in every mode. When combined with state or county filters, a region must match all of them. |
| asOfDate | string | No | – | Compute the trend from the latest observation on or before this date (YYYY-MM-DD). Leave empty for the newest published month. Trend modes only. |
| historyGeography | string | No | county | Which ZHVI level the monthly history rows come from. Used only in history mode. One of: county, state, metro. |
| startDate | string | No | – | First month to include in history mode (YYYY-MM-DD). Leave empty to start at the oldest published month. |
| endDate | string | No | – | Last month to include in history mode (YYYY-MM-DD). Leave empty to end at the newest published month. |
| sortBy | string | No | sizeRank | Order trend rows and assign ranks across all matching regions before the row cap is applied. Missing metrics sort last without a rank. 9 choices. |
| maxItems | integer | No | 100 | Hard cap on emitted records. The default county file has 3,071 rows; history usually needs a date or region filter to stay under the cap. |
What each row holds
Every field the Actor returns stays in the row (16 in its dataset schema). Normalize + dedupe trims text, drops empty fields and adds _source and _scrapedAt. The main fields:
| Field | What it is |
|---|---|
| countyName | County Name |
| stateCode | State Code |
| stateName | State Name |
| metro | Metro |
| homeType | Home Type |
| latestValue | Latest Value |
| latestDate | Latest Date |
| change6mPct | Change6m Pct |
| change12mPct | Change12m Pct |
| vsBenchmark6mPct | Vs Benchmark6m Pct |
| rank | Rank |
What the first run costs
With the starter input (maxItems = 25) a first run costs about $0.42 on the Apify Free plan: $0.40 to start the run at 4 GB of memory and $0.02 for the results, plus platform usage.
The Actor lists $0.99 per 1,000 results; its catalogue page breaks the price down by Apify plan. The Apify Free plan includes $5 of usage a month.
The Actor behind it
Zillow Research County Home Value Trend Scraper: Get US county-level home value trends with 6- and 12-month comparisons and year-over-year percent change, plus a state-by-state home value comparison, from Zillow's published research files. Filter by state and county.
The same job from an AI agent
The matching agent skill gives Claude Code, Codex, Cursor and other agents the same Actor, input and fields. Install it in one line:
npx skills add https://scraperfinder.com --skill zillow-research-county-home-value-trend-scraper The zillow county home value trends skill, with manual install and run steps
Questions people ask
How do I import this workflow into n8n?
Copy https://scraperfinder.com/n8n/zillow-research-county-home-value-trend-scraper.json. In n8n, open a new workflow, click the three-dot menu, choose Import from URL and paste it. Or download the JSON file and use Import from File; both give the same 6 nodes.
Do I need an Apify account?
Yes. The workflow calls the Zillow Research County Home Value Trend Scraper Actor through the Apify API with your own token, and each run is billed to your Apify account. The Free plan includes $5 of usage a month.
What does a run cost?
With the starter input (maxItems = 25) a first run costs about $0.42 on the Apify Free plan: $0.40 to start the run at 4 GB of memory and $0.02 for the results, plus platform usage. The Actor's Store page shows the current price.
Can I change what it collects?
Yes: edit the input object in the Configure input node. The Actor takes 11 settings; the table on this page lists each one with its default. Raise maxItems once the first rows look right.
Does it work without Google Sheets?
Yes. The rows wait in the Rows ready node, so you can connect any other node there: a database, Airtable, a webhook or an email. The Google Sheets node is only one option.
Workflow updated 2026-11-14