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Lennar.com Scraper

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Lennar.com Scraper

Lennar.com Scraper

Extract Lennar home listings, prices, and developer data for real estate intelligence. Automate property scraping with floor plans, community details, and pricing. Perfect for market research, competitive analysis, and real estate platforms.

Pricing

from $1.00 / 1,000 results

Rating

5.0

(3)

Developer

Shahid Irfan

Shahid Irfan

Maintained by Community

Actor stats

2

Bookmarked

8

Total users

1

Monthly active users

13 days ago

Last modified

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What does Lennar Homes Scraper do?

Lennar Homes Scraper is a Lennar new home listings scraper that collects structured inventory from Lennar Find-a-Home market pages. Enter a Lennar URL containing a state and market code, such as Florida and Miami, and receive homesite, floor plan, and community records with prices, specifications, locations, URLs, and available media.

The dataset is useful for real estate market research, new-construction inventory monitoring, investment analysis, builder comparison, and lead qualification. Each run can collect a controlled number of records across multiple result pages and can be repeated on a schedule to compare changes over time.

Why use Lennar Homes Scraper?

  • New-construction inventory data - Collect active Lennar homesites, plans, and communities from a selected market.
  • Market-focused searches - Use a Lennar Find-a-Home URL for a specific state and market instead of collecting unrelated locations.
  • Property research fields - Compare prices, bedrooms, bathrooms, square footage, addresses, plan names, communities, and availability details.
  • Media-ready records - Save image URLs and plan virtual tour URLs when Lennar publishes them.
  • Clean datasets - Empty values are removed and duplicate records are skipped within a run.
  • Repeatable monitoring - Schedule runs in Apify to track new-home supply, price changes, and community availability.
  • Workflow-friendly exports - Download JSON, CSV, Excel, or XML, or connect the dataset to other systems through Apify integrations.

What data can you extract from Lennar?

The Actor can return three record types: homesite, plan, and community. Fields vary by record type and by the information published for each market.

FieldTypeDescription
record_typeStringRecord category: homesite, plan, or community.
idStringPrimary Lennar record identifier.
homesite_idStringHomesite identifier when the record represents an available home.
plan_idStringFloor plan identifier when available.
statusStringHomesite status, such as move-in-ready, when published.
priceNumberCurrent homesite price when available.
formatted_priceStringDisplay-formatted price from Lennar.
bedsNumberBedroom count.
bathsNumberFull bathroom count.
half_bathsNumberHalf bathroom count.
sqftNumberHome or plan square footage.
addressStringHomesite or community address.
plan_nameStringFloor plan name.
plan_urlStringDirect floor plan page URL.
plan_starting_priceNumberStarting price for the plan when published.
plan_virtual_tour_urlStringVirtual tour URL for the plan when available.
community_nameStringLennar community name.
community_urlStringDirect community page URL.
community_overviewStringCommunity description when available.
community_base_priceNumberCommunity base price when published.
community_bed_rangeStringCommunity bedroom range.
community_bath_rangeStringCommunity bathroom range.
community_sqft_rangeStringCommunity square-footage range.
community_addressStringCommunity address.
community_zip_codeStringCommunity ZIP code.
community_latitudeNumberCommunity latitude.
community_longitudeNumberCommunity longitude.
city_nameStringCity associated with the community.
market_codeStringLennar market code, such as MIA.
state_codeStringState code, such as FL.
state_nameStringState name when available.
image_urlStringPrimary image URL.
image_urlsArrayAvailable listing, plan, floor plan, room, or feature image URLs.
image_countNumberNumber of URLs in image_urls.
estimated_monthly_paymentObjectPayment estimate components when published.
page_viewsObjectAvailable page-view statistics.
urlStringDirect homesite, plan, or community page URL.
search_urlStringLennar market URL used for the collection.
collected_atStringISO timestamp for the collection.

Additional fields may be included when Lennar publishes them, including badges, offer dates, lot IDs, payment components, MPC details, and Google Place IDs.

How to scrape Lennar new home listings

  1. Open Lennar Homes Scraper on Apify.
  2. Enter a public Lennar Find-a-Home URL with state and market query parameters.
  3. Set results_wanted for the maximum number of records to save.
  4. Set max_pages to control how many result pages the Actor can request.
  5. Run the Actor and review the dataset preview.
  6. Download the results or connect the dataset to a spreadsheet, webhook, API, or automation.

For a first run, use the default Miami market URL and a small result limit. Once the output matches your research needs, increase the record and page limits or schedule recurring runs.

Input Parameters

ParameterTypeRequiredDefaultDescription
startUrlStringNohttps://www.lennar.com/find-a-home?state=FL&market=MIALennar Find-a-Home URL. The URL should contain a two-letter state code and Lennar market code.
results_wantedIntegerNo20Maximum number of unique homesite, plan, and community records to save.
max_pagesIntegerNo10Maximum number of result pages to request for listings and communities.
proxyConfigurationObjectNoNot setOptional Apify Proxy configuration for the run.

The Actor also accepts url as an alternate single-URL input and recognizes startUrls when supplied as an array, using the first valid URL. startUrl is the recommended field for normal runs.

Output Data

The dataset contains one JSON object per saved record. Homesite and plan records include related community fields when Lennar provides them. Community records contain community-level information and may not include homesite-specific fields such as price, beds, or address.

Usage Examples

Basic Miami market run

Collect up to 20 records from Lennar's Miami, Florida market page:

{
"startUrl": "https://www.lennar.com/find-a-home?state=FL&market=MIA",
"results_wanted": 20
}

Larger market snapshot

Collect a larger dataset while allowing the Actor to request up to 10 result pages:

{
"startUrl": "https://www.lennar.com/find-a-home?state=FL&market=MIA",
"results_wanted": 100,
"max_pages": 10
}

Houston market with proxy configuration

Collect new-home records from the Houston, Texas market and enable Apify Proxy for the run:

{
"startUrl": "https://www.lennar.com/find-a-home?state=TX&market=HOU",
"results_wanted": 50,
"max_pages": 10,
"proxyConfiguration": {
"useApifyProxy": true
}
}

Sample Output

This is an example of a homesite record. Some optional values are omitted when the source does not publish them.

{
"record_type": "homesite",
"id": "h_751681",
"homesite_id": "h_751681",
"lot_id": "42",
"status": "MOVE_IN_READY",
"address": "17871 SW 359 TER",
"price": 394340,
"formatted_price": "$394,340",
"beds": 3,
"baths": 2.5,
"sqft": 1338,
"plan_id": "p_93821",
"plan_name": "Breezeway",
"plan_url": "https://www.lennar.com/new-homes/florida/miami/miami/del-mar/seaview-collection/breezeway",
"plan_starting_price": 389340,
"community_name": "Seaview Collection",
"community_url": "https://www.lennar.com/new-homes/florida/miami/miami/del-mar/seaview-collection",
"city_name": "Miami",
"market_code": "MIA",
"state_code": "FL",
"image_url": "https://cdn.lennar.com/api/images/contentassets/example/exterior.jpg",
"image_urls": [
"https://cdn.lennar.com/api/images/contentassets/example/exterior.jpg",
"https://cdn.lennar.com/api/images/contentassets/example/kitchen.jpg"
],
"image_count": 2,
"url": "https://www.lennar.com/new-homes/florida/miami/miami/del-mar/seaview-collection/breezeway/9396604001",
"search_url": "https://www.lennar.com/find-a-home?state=FL&market=MIA",
"collected_at": "2026-07-04T11:09:33.882Z"
}

Tips for Best Results

  • Use a complete public Lennar Find-a-Home URL with both state and market parameters.
  • Start with results_wanted: 20 to validate a market before requesting a larger dataset.
  • Increase max_pages when the selected market contains more inventory than one page can return.
  • Expect fewer records when a market has limited homesite, plan, or community inventory.
  • Use record_type to separate available homes, floor plans, and communities in downstream analysis.
  • Schedule repeat runs with the same market URL to compare price, status, plan, and inventory changes.
  • Check the dataset preview because optional fields depend on the data Lennar publishes for each record.

Integrations and Export Formats

  • Google Sheets - Review market snapshots and compare inventory changes over time.
  • Airtable - Build searchable tables of homesites, plans, and communities.
  • Make or Zapier - Route new records into reporting, CRM, or alerting workflows.
  • Webhooks - Notify another service after a run finishes.
  • Apify API - Read datasets programmatically from your own application.
FormatBest for
JSONData pipelines, APIs, and application development.
CSVSpreadsheet analysis and bulk review.
ExcelReporting and stakeholder sharing.
XMLStructured integrations and legacy systems.

Frequently Asked Questions

Which Lennar markets can I collect?

You can collect a market supported by a public Lennar Find-a-Home URL. Pass its state and market query values in startUrl.

Does the Actor return homes, plans, and communities?

Yes. The dataset can include homesite, plan, and community records, depending on the inventory returned for the selected market.

Why did I receive fewer records than requested?

The market may contain fewer unique records than the results_wanted value, or the max_pages limit may stop collection before the requested total is reached.

Are all fields present on every record?

No. Field availability depends on the record type and the information Lennar publishes. Optional empty values are removed from saved records.

Can I collect home images and virtual tours?

Yes. image_url, image_urls, and plan_virtual_tour_url are saved when those media links are available.

Can I run Lennar data collection on a schedule?

Yes. Create an Apify schedule to run the Actor hourly, daily, weekly, or at another interval and compare the resulting datasets.

Can I export Lennar data to CSV or Excel?

Yes. Apify datasets can be downloaded in CSV, Excel, JSON, XML, and other supported formats.

You are responsible for complying with Lennar's terms, applicable laws, privacy requirements, and any limits on how collected data may be used. Collect only data you are permitted to access and use it responsibly.

Support

For issues, missing fields, or feature requests, use the Issues tab on the Actor page and include the input URL, market, run ID, and an example of the unexpected output when possible.

This Actor is intended for legitimate collection and analysis of publicly available Lennar data. Users are responsible for complying with Lennar's website terms, applicable laws, privacy rules, and any restrictions on storing, sharing, or using the collected information.