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URL: https://apify.com/parseforge/lennar-new-homes-scraper

⇱ 🏘️ Lennar New Homes Scraper Β· Apify


πŸ‘ 🏘️ Lennar New Homes Scraper avatar

🏘️ Lennar New Homes Scraper

Pricing

from $19.00 / 1,000 results

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🏘️ Lennar New Homes Scraper

Gather active property listings from Lennar New Homes with address, price, bedrooms, bathrooms, area, agent and full description. Loved by buyers, agents, investors and real estate analytics. Run on demand or on a recurring schedule and feed every row into your favourite analytics or workflow stack.

Pricing

from $19.00 / 1,000 results

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πŸ‘ ParseForge

ParseForge

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1

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a month ago

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🏘️ Lennar New Homes Scraper

πŸš€ Pull Lennar data in seconds. Clean structured rows ready for structured records.

πŸ•’ Last updated: 2026-05-27 Β· πŸ“Š 22 fields per record Β· Public data source Β· No login required

The Lennar New Homes Scraper turns the public Lennar dataset into a clean, structured pull. It hits the source directly with a real browser fingerprint and flattens results into a tabular/spreadsheet/structured/structured/structured-ready records.

🎯 Target AudienceπŸ’‘ Primary Use Cases
πŸ“Š AnalystsBuild datasets from Lennar
πŸ€– AI pipelinesFeed LLM context
πŸ“° ResearchersTrack trends and entities
πŸ› οΈ DevelopersPower tools and apps

πŸ“‹ What this scraper does

  • Connects to the public Lennar source.
  • Applies your filters and pagination.
  • Normalizes records into a flat row schema with imageUrl first and error last.
  • Exports as structured records, RSS, or HTML.

πŸ’‘ Why it matters: the upstream source is free to browse, but you need clean rows for spreadsheets, BI tools, or LLM pipelines. This scraper does the plumbing.

🎬 Full Demo

🚧 Coming soon

βš™οΈ Input

Provide a few filter values and the actor returns matching records. Use maxItems to cap your run.

{ "maxItems": 10 }

⚠️ Good to Know: free users are capped at 10 items. Upgrade to a paid plan for up to 1,000,000.

πŸ“Š Output

Each record has 22 fields. The first field is imageUrl. The last field is error (null on success).

✨ Why choose this Actor

  • Live data, no caching.
  • Real browser fingerprint, residential proxy support.
  • Clean schema, ready for BI/LLM.

πŸ“ˆ How it compares to alternatives

  • Manual scraping β†’ fragile, slow, gets blocked.
  • Generic web scrapers β†’ no field mapping.
  • This actor β†’ tested daily, schema-stable.

πŸš€ How to use

  1. Create a free account w/ $5 credit.
  2. Open the actor page.
  3. Set your input (filters + maxItems).
  4. Click Start.
  5. Retrieves as tabular / spreadsheet / structured / structured / HTML.

πŸ’Ό Business use cases

  • Build internal dashboards from Lennar.
  • Feed your LLM with up-to-date data.
  • Power lead-gen, research, or content pipelines.
  • Monitor changes over time.

πŸ”Œ Automating lennar-new-homes-scraper

Integrates with Make, Zapier, n8n, Airbyte, Slack, GitHub, Google Drive, Google Sheets, AWS S3, and HTTP webhooks.

🌟 Beyond business use cases

  • Research projects.
  • Personal data exploration.
  • Non-profit reporting.
  • Experimentation.

πŸ€– Ask an AI assistant about this scraper

Ask ChatGPT, Claude, Perplexity, or Copilot to help you design queries or post-process the dataset.

❓ Frequently Asked Questions

  1. Is it legal? Only public data.
  2. How fresh is it? Live on every run.
  3. Can I filter? Yes.
  4. What's the rate? Depends on source.
  5. Can I pull? tabular/spreadsheet/structured/structured/structured/HTML.
  6. Do I need an API key? No.
  7. Free plan limits? 10 items.
  8. Paid plan limits? 1,000,000 items.
  9. Does it cache? No, live.
  10. Support? Contact form.

πŸ”Œ Integrate with any app

Make, Zapier, n8n, Airbyte, Slack, GitHub, Google Drive, Google Sheets, AWS S3, HTTP webhooks.

πŸ”— Recommended Actors

ActorWhat it does
Bayut UAEUAE real-estate listings
Carsales AUAU car listings
OurAirportsGlobal airport DB

πŸ’‘ Pro Tip: browse the complete ParseForge collection.

πŸ†˜ Need Help? Open our contact form

⚠️ Disclaimer: independent tool, not affiliated with Lennar. Only publicly available data collected.

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