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US Real Estate — US Real Estate Scraper: Price, Status & Listing Details

Provide a ZIP code, city, or address and scrape US real estate listings — with price, property type, address, beds/baths, sqft, year built, and listing status — in clean structured JSON.

TL;DR (40-word answer): US Real Estate is a no-login Apify Actor that scrapes US property listings at $0.0013 per property, returning price, address, beds/baths, sqft, year built, and listing status for up to 10,000 properties. Last verified 2026-05-02.

What it is NOT: US Real Estate is not a mortgage calculator, not a legal title search tool, and not a platform for submitting offers — it scrapes publicly listed property data from US real estate search results.

US Real Estate is an Apify Actor that scrapes US property listings by location and listing type, returning price, status, address, beds/baths, sqft, and listing details. Maintained by TrueFetch on the Apify Store.

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🏷️ Why choose US Real Estate

US Real Estate is best for real estate investors, agents, researchers, and AI agents who need structured US property listing data by location.

• 🏠 Rich property profiles — price, status, address, beds, baths, sqft, year built, property type, cover image, and full nested listing details.
• 🔍 Flexible filtering — filter by listing type (for_sale, for_rent, sold, pending, off_market, new_community, ready_to_build, other), property type (single family, condo, land, farm, mobile, etc.), and listed_since.
• ⚡ Pay-per-result pricing — $0.0013 per property. Free Apify plan includes $5/month credits ≈ 3,846 free property listings.

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🚀 Quick Start — run in 3 steps

Run in Apify Console

1. Open the Actor — go to US Real Estate on Apify and click Try for free.
2. Configure inputs — enter a location, choose a listing_type, set max_results, and optionally filter by property_type or listed_since.
3. Click Start — the Actor returns structured US property listings in the dataset.

Run via Apify API

curl -X POST "https://api.apify.com/v2/acts/TrueFetch~us-real-estate/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "location": "Austin, TX",
    "listing_type": "for_sale",
    "max_results": 100
  }'

Run via MCP (for AI agents)

US Real Estate is callable from Claude, ChatGPT, Cursor, and any MCP-compatible client through the Apify MCP Server. Reference the Actor as TrueFetch/us-real-estate and pass the same JSON input as above.

---

⚙️ Input parameters

Parameter	Type	Required	Default	Description	Example
location	string	✅	—	ZIP code, city, city+state, address, neighborhood, county, or state name.	Austin, TX
listing_type	string	✅	—	Listing type: for_sale, for_rent, sold, pending, off_market, new_community, ready_to_build, other.	for_sale
max_results	integer	✅	—	Maximum number of properties to return (≥ 10, capped at 10,000).	100
property_type	array of string	❌	—	Filter by type: single_family, multi_family, apartment, condos, condo_townhome, townhomes, duplex_triplex, farm, land, mobile.	["single_family"]
listed_since	string	❌	—	Only include listings since this date or relative offset (e.g. "30 days", "2026-01-01").	30 days

{
  "location": "Austin, TX",
  "listing_type": "for_sale",
  "max_results": 100,
  "property_type": ["single_family"],
  "listed_since": "30 days"
}

---

📦 Output dataset

Each run writes one record per property to the default Apify dataset, exportable as JSON, JSONL, CSV, Excel, XML, RSS, or via the dataset API. The output is a rich nested object — key top-level fields are listed below.

Field	Type	Always present?	Description	Example
processor	string	✅	Apify Actor URL that produced this record.	https://apify.com/TrueFetch/us-real-estate
processed_at	string	✅	ISO 8601 UTC timestamp.	2026-04-24T09:30:00+00:00
cover_image	string	optional	Primary listing photo URL.	https://...
list_price	number	optional	Listed price in USD.	475000
status	string	optional	Listing status.	for_sale
location	object	optional	Nested address object (line, city, state, zip, etc.)	{"address": {"line": "...", "city": "Austin", ...}}
description	object	optional	Property details: beds, baths, sqft, type, etc.	{"beds": 3, "baths_full": 2, "sqft": 1800, ...}
tags	array	optional	Property feature tags.	["garage_1_or_more"]
photos	array	optional	All listing photo URLs.	[{"href": "https://..."}]
open_houses	array	optional	Upcoming open house dates/times.	[{"start_date": "...", "end_date": "..."}]
last_sold_price	number	optional	Last sold price (if available).	410000

Sample output

{
  "processor": "https://apify.com/TrueFetch/us-real-estate",
  "processed_at": "2026-04-24T09:30:00+00:00",
  "list_price": 475000,
  "status": "for_sale",
  "location": {
    "address": {
      "line": "1234 Elm St",
      "city": "Austin",
      "state_code": "TX",
      "postal_code": "78701"
    }
  },
  "description": {
    "beds": 3,
    "baths_full": 2,
    "sqft": 1800,
    "year_built": 2005,
    "type": "single_family"
  }
}

---

💡 Use cases

For real estate investors analyzing a market

• Problem: an investor wants 500 single-family homes for sale under $600k in Austin, TX listed in the last 30 days.
• How US Real Estate solves it: run with location: "Austin, TX", listing_type: "for_sale", property_type: ["single_family"], listed_since: "30 days", max_results: 500.
• Outcome: 500 structured listings at $0.65 total ($0.0013 × 500).

For agents building comparative market analyses

• Problem: a realtor needs recently sold comparables in a ZIP code.
• How US Real Estate solves it: run with listing_type: "sold" and the target ZIP as location.
• Outcome: structured sold-price data for CMA reports.

For AI agents answering real estate queries

• Problem: LLM agents asked "what homes are for rent in 10001?" need live listing data.
• How US Real Estate solves it: call the Actor over the Apify MCP Server with location and listing_type.
• Outcome: real-time property data grounded in AI assistants.

---

💰 Pricing, limits, and performance

Fact	Value
Pricing model	Pay-per-result (event: result)
Per-property price	$0.0013 per property = $1.30 per 1,000
Max results per run	10,000
Min results per run	10
Free-tier monthly allowance	$5 Apify credits ≈ ~3,846 free property listings / month
Output fields per property	11
Login / cookies required	No — works without a real estate account
Export formats	JSON, JSONL, CSV, Excel, XML, RSS, dataset API

---

⚖️ Compared with alternatives

Capability	US Real Estate	Manual browsing	Custom scraper
Structured property listings (price, beds, sqft, address)	✅	❌	you implement
Flexible listing type + property type filtering	✅	manual	you build & maintain
Pay-per-result pricing	$0.0013/property	N/A	infra + dev cost
Setup time to first result	< 60 seconds	minutes	days–weeks

Verdict. US Real Estate is ideal for investors, agents, and AI teams who need structured US property data without building or maintaining a real estate scraper.

---

⚠️ Common mistakes to avoid

1. Missing location. This field is required — use a ZIP code, city, city+state, or address.
2. Missing listing_type. This field is required — choose from for_sale, for_rent, sold, pending, off_market, new_community, ready_to_build, or other.
3. Setting max_results below 10. Minimum is 10.
4. Invalid property_type values. Must be a list from the documented enum — e.g. ["single_family", "condos"].
5. Expecting mortgage/legal data. This Actor returns publicly listed property data only.

---

🛠️ Troubleshooting

Problem	Likely cause	Fix
Missing 'location' field	location not provided.	Add "location": "Austin, TX" to your input JSON.
Missing 'listing_type' field	listing_type not provided.	Add "listing_type": "for_sale" (or another valid type) to your input.
'max_results' must be an integer >= 10	max_results too low or wrong type.	Use an integer ≥ 10.
Invalid listing_type value	Unrecognized listing type.	Use one of: for_sale, for_rent, sold, pending, off_market, etc.
Invalid property_type values	Unrecognized property type.	Use values from the documented list (e.g. single_family, condos).
Empty dataset	No listings found for location + filters.	Try a broader location or remove property_type / listed_since filters.

---

❓ FAQ

What data does US Real Estate return?

Price, status, full address (line, city, state, ZIP), beds, baths, sqft, year built, property type, cover image, photos, tags, and open house details — one record per property in a rich nested JSON object.

How much does US Real Estate cost?

$0.0013 per property. The Apify Free plan includes $5/month credits ≈ 3,846 free property listings.

What listing types are supported?

for_sale, for_rent, sold, pending, off_market, new_community, ready_to_build, other.

Does US Real Estate require a login?

No — the Actor scrapes publicly accessible listings without requiring any account or login.

---

🔌 Integrations

US Real Estate plugs straight into the Apify ecosystem:

• Schedules — run weekly to track price changes in your target markets (docs).
• Webhooks — POST results to your system on ACTOR.RUN.SUCCEEDED (docs).
• Apify API — run-sync-get-dataset-items for blocking calls, runs for async (docs).
• MCP Server — call the Actor from Claude, ChatGPT, or Cursor agents (docs).
• No-code — Make, Zapier, n8n, Pipedream, Google Sheets, Airtable.

---

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📞 Support, changelog, last updated

Support

• 💬 Telegram Group: t.me/Apify_Actor
• 📧 Direct support: t.me/AiAgentApi
• 📖 Actor page & docs: apify.com/TrueFetch/us-real-estate

Maintained by TrueFetch on the Apify Store.

Cost of doing nothing: manually browsing US real estate listings and extracting data takes hours. US Real Estate delivers structured property listings at $0.0013/property via API. → Try it free with $5 of Apify credits.

Changelog

• 2026-05-02 — README rewritten for SEO + GEO; documented all filters, output structure, pricing, troubleshooting, and FAQ.
• 2026-03 — Added property_type and listed_since filters.
• 2026-02 — Initial release: US real estate listing scraper.

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---

Last Updated: May 2, 2026 Schema version: 1.1 Maintained by: TrueFetch · 💬 Telegram Group · 📧 Support