Movoto Property Search Scraper: Extract Real Estate Listings Fast

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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.

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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.

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Input Format

The scraper accepts a JSON configuration object:

{
    "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.

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Output Format

Sample output

{
  "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

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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.

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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.

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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.