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Lennar.com Scraper

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Pay per usage

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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

Pay per usage

Rating

5.0

(2)

Developer

Shahid Irfan

Shahid Irfan

Maintained by Community

Actor stats

2

Bookmarked

9

Total users

3

Monthly active users

8 days ago

Last modified

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Lennar Homes Scraper

Extract Lennar new home listings with pricing, inventory, plan, community, location, and media data. This Lennar scraper is built for fast market monitoring, real estate research, and repeatable housing datasets across state and market pages.

Features

  • Market-based collection - Use a Lennar Find-a-Home URL to target a state and market.
  • Listing and plan coverage - Collect available homesites, plans, and community records when present.
  • Rich media fields - Save a primary image_url plus available image_urls from listing, plan, floorplan, room, and feature media.
  • Clean records - Empty strings and null values are removed before data is saved.
  • Configurable limits - Control result count and pagination depth for quick tests or larger runs.

Use Cases

Real Estate Market Tracking

Monitor Lennar inventory by market, city, community, and plan. Use repeat runs to compare prices, availability, square footage, and listing status over time.

Investment Research

Build datasets for comparing price ranges, bedroom counts, monthly payment data, and community details. This helps analysts evaluate where new-home supply is concentrated.

Competitive Intelligence

Track new construction inventory and media assets across active Lennar communities. Compare homesite pricing, plan availability, and community-level positioning.

Lead Qualification

Feed structured home data into CRM, alerting, or reporting workflows. Use fields such as address, beds, baths, price, plan name, and community name to route opportunities.


Input Parameters

ParameterTypeRequiredDefaultDescription
startUrlStringNohttps://www.lennar.com/find-a-home?state=FL&market=MIALennar Find-a-Home URL with state and market query parameters.
results_wantedIntegerNo20Maximum number of records to save.
max_pagesIntegerNo10Maximum pagination pages to request.
proxyConfigurationObjectNo{"useApifyProxy": true}Proxy settings for production runs.

Output Data

Each item in the dataset can contain:

FieldTypeDescription
record_typeStringRecord category: homesite, plan, or community.
idStringPrimary record ID.
homesite_idStringHomesite ID when the record is a home listing.
plan_idStringRelated plan ID.
statusStringHomesite or plan status.
priceNumberCurrent homesite price.
formatted_priceStringDisplay price when available.
bedsNumberBedroom count.
bathsNumberBathroom count.
half_bathsNumberHalf bathroom count.
sqftNumberSquare footage.
addressStringHomesite or community address.
image_urlStringPrimary image URL.
image_urlsArrayAvailable media URLs from listing and plan data.
image_countNumberCount of URLs in image_urls.
plan_virtual_tour_urlStringPlan virtual tour URL when available.
community_nameStringCommunity name.
community_urlStringCommunity page URL.
city_nameStringCity name.
market_codeStringLennar market code.
state_codeStringState code.
urlStringDetail page URL.
collected_atStringCollection timestamp.

Additional pricing, payment, page view, MPC, and community fields are included when available.


Usage Examples

Basic Miami Market Run

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

Larger Market Snapshot

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

Different State and Market

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

Sample Output

{
"record_type": "homesite",
"id": "h_751681",
"homesite_id": "h_751681",
"status": "MOVE_IN_READY",
"price": 394340,
"beds": 3,
"baths": 2.5,
"sqft": 1338,
"address": "17871 SW 359 TER",
"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,
"plan_name": "Breezeway",
"community_name": "Seaview Collection",
"city_name": "Miami",
"market_code": "MIA",
"state_code": "FL",
"url": "https://www.lennar.com/new-homes/florida/miami/miami/del-mar/seaview-collection/breezeway/9396604001",
"collected_at": "2026-07-04T11:09:33.882Z"
}

Tips for Best Results

Start With QA-Friendly Limits

  • Use results_wanted: 20 for quick validation.
  • Increase the limit after confirming the market URL works.

Use Valid Market URLs

  • Make sure startUrl includes state and market.
  • Copy URLs from Lennar Find-a-Home pages for best matching.

Tune Pagination

  • Increase max_pages when requesting larger datasets.
  • If fewer records are saved than requested, the selected market may have fewer unique records available.

Integrations

Connect your data with:

  • Google Sheets - Review listing snapshots with your team.
  • Airtable - Build searchable housing inventory tables.
  • Make - Trigger workflows from completed runs.
  • Zapier - Send new records to business tools.
  • Webhooks - Deliver data to custom systems.

Export Formats

  • JSON - For structured data pipelines.
  • CSV - For spreadsheet analysis.
  • Excel - For reporting.
  • XML - For legacy tools.

Frequently Asked Questions

Can I collect all available listings in a market?

Yes. Set results_wanted and max_pages high enough to cover the selected market.

Why did I receive fewer records than requested?

The selected market may have fewer unique homesite, plan, and community records available than your requested limit.

Are empty values included?

No. Empty strings and null values are removed so the dataset stays clean.

Can I collect media URLs?

Yes. Records include a primary image_url and image_urls when media is available.

Can I run this on a schedule?

Yes. Scheduled runs are useful for tracking price and inventory changes.


Support

For issues or feature requests, contact support through the Apify Console.

Resources


This actor is designed for legitimate data collection and analysis. You are responsible for complying with website terms, local laws, and all applicable regulations.