Lennar.com Scraper
Pricing
Pay per usage
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
0.0
(0)
Developer
Shahid Irfan
Actor stats
0
Bookmarked
3
Total users
2
Monthly active users
5 days ago
Last modified
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Lennar Homes Scraper
Extract Lennar home listing data from Find-a-Home pages with market-level targeting and clean, structured results. Collect pricing, beds, baths, square footage, community details, plan details, and location metadata in one dataset. Built for real estate monitoring, investment analysis, and listing intelligence workflows.
Features
- Market-focused extraction - Collect listings for specific state and market combinations.
- Clean output records - Null and empty values are removed before saving.
- Rich property coverage - Includes homesite, plan, community, city, market, and state metadata.
- Scalable pagination - Pulls large result sets with configurable limits.
- Flexible filtering input - Supports advanced filter objects when needed.
Use Cases
Real Estate Market Tracking
Monitor available inventory, pricing shifts, and listing status changes in specific Lennar markets.
Investment Research
Build datasets for comparing price bands, home sizes, and community-level opportunity zones.
Competitive Intelligence
Track how inventory and pricing evolve by city, community, and plan type over time.
Lead Qualification Pipelines
Feed structured new-home data into CRM or qualification workflows for sales teams.
Input Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
startUrl | String | No | https://www.lennar.com/find-a-home?state=FL&market=MIA | Find-a-Home URL used to auto-detect state and market query params. |
results_wanted | Integer | No | 20 | Maximum number of output records to save. |
max_pages | Integer | No | 10 | Maximum pages to request. |
proxyConfiguration | Object | No | {"useApifyProxy": true} | Proxy settings for stable production runs. |
Output Data
Each dataset item can contain:
| Field | Type | Description |
|---|---|---|
record_type | String | homesite or plan |
id | String | Primary listing ID |
status | String | Listing status |
price | Number | Current price |
beds | Number | Bedrooms |
baths | Number | Bathrooms |
half_baths | Number | Half bathrooms |
sqft | Number | Square footage |
address | String | Street address |
city_name | String | City |
market_code | String | Market code |
state_code | String | State code |
community_name | String | Community name |
plan_name | String | Plan name |
url | String | Detail URL |
collected_at | String | ISO timestamp |
Additional community, pricing, media, and metadata 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}
Higher Volume Run
{"startUrl": "https://www.lennar.com/find-a-home?state=FL&market=MIA","results_wanted": 50,"max_pages": 10}
Extended Pagination Window
{"startUrl": "https://www.lennar.com/find-a-home?state=FL&market=MIA","results_wanted": 40,"max_pages": 20}
Sample Output
{"record_type": "homesite","id": "h_760409","homesite_id": "h_760409","lot_id": "9396603304","status": "MOVE_IN_READY","price": 376349,"beds": 3,"baths": 2.5,"sqft": 1423,"address": "35871 SW 178 CT","city_name": "Miami","market_code": "MIA","state_code": "FL","community_name": "Seaview Collection","plan_name": "Caspian","url": "https://www.lennar.com/new-homes/florida/miami/miami/del-mar/seaview-collection/caspian/9396603304","collected_at": "2026-04-03T00:00:00.000Z"}
Tips for Best Results
Start Small
- Begin with
results_wanted: 20to validate output quickly. - Increase gradually for larger production collections.
Tune Pagination
- Keep
max_pageshigh enough for your target volume. - Use
results_wanted: 20for fast QA-friendly runs.
Use Valid Market Codes
- Ensure
startUrlincludes validstateandmarketquery params. - Example:
https://www.lennar.com/find-a-home?state=FL&market=MIA.
Use Proxies for Reliability
- Enable
proxyConfigurationfor long-running or frequent jobs. - Residential traffic pools can improve consistency for high-volume usage.
Integrations
Connect your data with:
- Google Sheets - Share listing snapshots with non-technical teams.
- Airtable - Build searchable housing intelligence tables.
- Make - Trigger downstream workflows after every run.
- Zapier - Connect listing updates to alerts and internal tools.
- Webhooks - Deliver records to custom services in real time.
Export Formats
- JSON - Native structured output
- CSV - Spreadsheet workflows
- Excel - Reporting and dashboards
- XML - Legacy system compatibility
Frequently Asked Questions
How many listings can I collect?
You can collect as many as available in the selected market, limited by your results_wanted and max_pages settings.
Why are some fields missing in certain rows?
Only values present on the source side are saved. Empty and null values are intentionally removed.
Can I run this for other states and markets?
Yes. Provide a different startUrl with the target state and market query params.
Is this suitable for scheduled monitoring?
Yes. The actor is designed for repeatable runs and works well with scheduling.
Support
For issues or feature requests, use the Apify Console issue and support channels.
Resources
Legal Notice
This actor is intended for lawful data collection and analysis. You are responsible for complying with website terms, local laws, and all applicable regulations when using extracted data.