# Movoto Property Search Scraper (`stealth_mode/movoto-property-search-scraper`) Actor

Scrape property listings from Movoto.com automatically. Collect prices, bedrooms, bathrooms, photos, MLS data, agent info, and 39+ fields per property — perfect for real estate investors, market analysts, and property aggregators.

- **URL**: https://apify.com/stealth\_mode/movoto-property-search-scraper.md
- **Developed by:** [Stealth mode](https://apify.com/stealth_mode) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Movoto Property Search Scraper: Extract Real Estate Listings Fast

***

### What Is Movoto.com?

Movoto.com is a major real estate search platform where millions browse residential properties across the United States. It aggregates MLS listings, showing property details, photos, pricing history, and open house schedules. For real estate professionals, investors, and researchers, accessing this data manually is tedious and error-prone. The **Movoto Property Search Scraper** automates listing extraction, delivering clean, structured property records ready for analysis.

***

### Overview

The **Movoto Property Search Scraper** extracts detailed property listings from Movoto search results pages, converting web data into machine-readable records. It is designed for:

- **Real estate investors** tracking market trends and comparable sales
- **Appraisers & analysts** building property datasets for valuation models
- **Aggregator platforms** feeding property data into custom search engines
- **Market researchers** analyzing local housing inventory and pricing patterns
- **Realtors** monitoring competitor listings and agent activity

Key strengths include flexible item limits per URL, resilient handling of failed pages via `ignore_url_failures`, and comprehensive output covering pricing, property features, MLS metadata, and media details.

***

### Input Format

The scraper accepts a JSON configuration object:

```json
{
    "urls": [
        "https://www.movoto.com/ocala-fl/p-2/"
    ],
    "max_items_per_url": 200,
    "ignore_url_failures": true
}
```

| Field | Description |
|---|---|
| `urls` | Movoto property search result pages (e.g., city, region, or search filters) |
| `max_items_per_url` | Maximum properties per URL (default: `20`, max: `200`) |
| `ignore_url_failures` | If `true`, skips failed URLs instead of halting the entire run |

> **Tip:** Property list URLs follow the pattern `https://www.movoto.com/[city]-[state]/p-[page]/`. Start with page 1 and add multiple pages to collect larger datasets.

***

### Output Format

**Sample output**

```json
{
  "close_price": null,
  "days_on_movoto": 2,
  "id": "98a96465-5b6a-40ad-bf57-14fdc2f6b189",
  "tn_img_path": "https://pi.movoto.com/p/431/OM732175_0_3aFUJr_p.webp",
  "list_date": "2026-09-12 00:00:00",
  "listing_agent": "Courtney Forrest",
  "list_price": 264000,
  "lot_size": 6970,
  "sqft_total": 1342,
  "mls_db_number": 431,
  "mls": {
    "date_hidden": null,
    "id": 431
  },
  "mls_number": "OM732175",
  "bath": 2,
  "bed": 2,
  "open_houses": [],
  "office_list_name": "RE/MAX PREMIER REALTY",
  "office_list_phone": "(352) 732-3222",
  "photo_count": 41,
  "property_type": "SINGLE_FAMILY_HOUSE",
  "property_type_display_name": "Residential - Single Family",
  "year_built": 2022,
  "zip_code": "34481",
  "path": "ocala-fl/9009-sw-78th-street-rd-ocala-fl-34481/pid_y8hm920ih4bb/",
  "status": "Active",
  "house_real_status": "ACTIVE",
  "hoafee": 226,
  "price_changed_date": "2026-09-13 00:00:00",
  "price_change": null,
  "property_id": "52be34e9-4a12-442a-90bc-3d76f53c8b56",
  "visibility": "NO_RESTRICTION",
  "sold_date": null,
  "created_at": "2026-09-13 01:03:20",
  "image_downloader_status": 7,
  "image_format": "webp",
  "garage": 2,
  "virtual_tour_link": "https://www.propertypanorama.com/instaview/stellar/OM732175",
  "nhs_details": null,
  "brokerage_details": null,
  "geo": {
    "state": "FL",
    "city": "Ocala",
    "county": "Marion County",
    "lat": 29.107862,
    "lng": -82.268918,
    "zipcode": "34481",
    "zipcode_id": "25283",
    "sub_premise": "",
    "address": "9009 SW 78th Street Rd",
    "neighborhood_s": null,
    "neighborhood_m": null,
    "neighborhood_n": null,
    "format_address": "9009 SW 78th Street Rd Ocala, FL 34481",
    "sitemap_neighborhood_page_url": "",
    "neighborhood_path": ""
  },
  "video_tour_link": "",
  "virtual_link": "https://www.propertypanorama.com/instaview/stellar/OM732175",
  "from_url": "https://www.movoto.com/ocala-fl/p-2/"
}
```

Each scraped property returns a comprehensive record with 39 fields across pricing, features, media, and market data:

#### Property Identification

| Field | Meaning |
|---|---|
| `ID` | Unique Movoto identifier for the listing |
| `Property ID` | MLS-independent property ID |
| `MLS Number` | Multiple Listing Service number (if available) |
| `MLS DB Number` | MLS database reference number |
| `MLS` | MLS provider name or board |
| `Path` | URL slug or path identifier for the listing |

#### Pricing & Market History

| Field | Meaning |
|---|---|
| `List Price` | Current asking price in USD |
| `Close Price` | Final sale price (if sold) |
| `Price Changed Date` | Last timestamp when price was adjusted |
| `Price Change` | Dollar amount of the most recent price adjustment |
| `Status` | Listing status (active, pending, sold, etc.) |
| `House Real Status` | Actual property status from MLS source |
| `Sold Date` | Date the property was sold |
| `Days on Movoto` | Number of days the listing has been visible on Movoto |

#### Property Features

| Field | Meaning |
|---|---|
| `Bedrooms` | Number of bedrooms |
| `Bathrooms` | Number of bathrooms (including partial baths) |
| `Total Sq Ft` | Total square footage of the property |
| `Lot Size` | Size of the lot in square feet or acres |
| `Year Built` | Construction year of the home |
| `Property Type` | Category (single family, condo, townhouse, etc.) |
| `Property Type Display Name` | Human-readable property type label |
| `Garage` | Garage type and capacity (e.g., 2-car attached) |
| `HOA Fee` | Monthly homeowners association fee (if applicable) |

#### Location Data

| Field | Meaning |
|---|---|
| `ZIP Code` | Postal code of the property |
| `Geo` | Geographic coordinates (latitude/longitude) |

#### Listing & Agent Information

| Field | Meaning |
|---|---|
| `List Date` | Date the property was first listed |
| `Listing Agent` | Name of the real estate agent |
| `Listing Office Name` | Brokerage or office name |
| `Listing Office Phone` | Office contact number |

#### Media & Virtual Features

| Field | Meaning |
|---|---|
| `Photo Count` | Number of photos in the listing gallery |
| `Thumbnail Image Path` | URL/path to the primary listing thumbnail |
| `Image Format` | Format of downloaded images (e.g., JPG, PNG) |
| `Image Downloader Status` | Status of image retrieval (success, failed, pending) |
| `Virtual Tour Link` | URL to 3D virtual tour or walkthrough video |
| `Video Tour Link` | URL to property video tour |
| `Virtual Link` | Generic virtual media link |

#### Administrative & System Data

| Field | Meaning |
|---|---|
| `Open Houses` | Scheduled open house times and dates |
| `NHS Details` | Neighborhood or school district details |
| `Brokerage Details` | Full brokerage/firm information |
| `Visibility` | Listing visibility status (public, private, etc.) |
| `Created At` | System timestamp when the record was created |

***

### How to Use

1. **Locate search URLs** — Go to Movoto.com, enter a city/region, and apply any filters (price range, bedrooms, etc.). Copy the result page URL.
2. **Prepare input** — Paste URLs into the `urls` array. For large datasets, add multiple pages (e.g., `p-1/`, `p-2/`, `p-3/`).
3. **Set item limits** — Adjust `max_items_per_url` based on your needs (up to 200 per page is recommended).
4. **Enable fault tolerance** — Set `ignore_url_failures: true` for bulk runs to skip blocked or outdated URLs.
5. **Execute the scraper** — Start the run and monitor progress.
6. **Export & analyze** — Download output as JSON, CSV, or Excel, then import into spreadsheets, databases, or BI tools.

**Troubleshooting tips:**

- If no properties are returned, verify the URL is a search results page (not a single property detail).
- Some data fields may be blank if the MLS source doesn't provide them (e.g., virtual tours for older listings).
- Use specific filters in Movoto URLs to narrow results and increase scraping speed.

***

### Use Cases & Business Value

- **Comparative market analysis (CMA):** Analyze price trends, days on market, and sold prices for valuation support
- **Investment research:** Identify emerging markets, track inventory turnover, and monitor price changes
- **Lead generation:** Build property databases for targeted marketing to sellers and buyers
- **Automated aggregation:** Feed Movoto data into your own property search platform or API
- **Academic research:** Study regional housing markets, demographic shifts, or real estate trends

The **Movoto Property Search Scraper** eliminates hours of manual browsing, delivering structured, exportable data that fuels analysis, investment decisions, and business growth.

***

### Conclusion

The **Movoto Property Search Scraper** is an efficient solution for capturing detailed real estate data at scale. With 39 comprehensive fields covering pricing, features, MLS metadata, and media, it provides everything needed for market analysis, valuations, and investment research. Start scraping property listings today and unlock insights faster than manual research allows.

# Actor input Schema

## `urls` (type: `array`):

Add the URLs of the property list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.

## `ignore_url_failures` (type: `boolean`):

If true, the scraper will continue running even if some URLs fail to be scraped.

## `max_items_per_url` (type: `integer`):

The maximum number of items to scrape per URL.

## Actor input object example

```json
{
  "urls": [
    "https://www.movoto.com/ocala-fl/p-2/"
  ],
  "ignore_url_failures": true,
  "max_items_per_url": 20
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "urls": [
        "https://www.movoto.com/ocala-fl/p-2/"
    ],
    "ignore_url_failures": true,
    "max_items_per_url": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("stealth_mode/movoto-property-search-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "urls": ["https://www.movoto.com/ocala-fl/p-2/"],
    "ignore_url_failures": True,
    "max_items_per_url": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("stealth_mode/movoto-property-search-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "urls": [
    "https://www.movoto.com/ocala-fl/p-2/"
  ],
  "ignore_url_failures": true,
  "max_items_per_url": 20
}' |
apify call stealth_mode/movoto-property-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,stealth_mode/movoto-property-search-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/aeJ7JWZQtsV22uPV5/builds/voSzFIOPQpqlwLW8I/openapi.json