Propwire Cash Buyer & Agent Leads Scraper

From Clearpath, creators of Zillow Bulk Search, ImmoScout24 Pro and Sahibinden Real Estate. Property research and seller data across the US, Germany and Turkey.

Why choose this Propwire leads scraper?

• Find buyers and agents in your target market. Search by state or ZIP for cash buyers or investor-friendly agents, then narrow to active, repeat or high-volume buyers with the activity filters. Collect names, companies and lead types, with repeated people removed across overlapping searches.
• Get agent phones and license details together. Agent records include available phone numbers, license numbers and license states. Cash-buyer records focus on companies and buying activity; phone availability varies by record.
• Filter and prioritize by deal activity. Filter on transaction counts, average sale price, properties owned and the last transaction date, and get all four on every record. The output also keeps the searched area separate from each person's own city and ZIP when their location can be resolved.

Start with 10 agents

{
  "states": ["FL"],
  "peopleLeadTypes": ["agent"],
  "maxItems": 10
}

Open actor input and choose your state or ZIP code. This example requests 10 agents, the lead type with the strongest phone coverage. Switch peopleLeadTypes to ["cash_buyers_unverified"] for cash buyers, and add "lastTransactionFrom" with a date 24 months ago to keep only active ones. Each returned person costs $2.49 per 1,000; 10 people incur about $0.025 in lead extraction charges.

The hero uses an illustrative layout with saved agent activity figures. Its phone number is masked for display; available phone numbers are returned in the dataset. Activity and contact fields vary by person.

Clearpath · Property Data
Propwire People You are here	Propwire Leads Properties & equity	Zillow US listings & sales	Entity Search The LLC behind a buyer

Copy to your AI assistant

clearpath/propwire-people-leads-scraper on Apify exports cash buyers and investor-friendly agents in the US. Choose an area with states (two-letter codes) and/or zipCodes (five-digit) and set peopleLeadTypes to either agent or cash_buyers_unverified (one per run; the two cannot be combined); both fields are required and any other value is rejected. Optional activity filters narrow either type: lastTransactionFrom / lastTransactionTo (YYYY-MM-DD; a date 24 months ago keeps only active buyers), minTransactions / maxTransactions, minPropertiesOwned / maxPropertiesOwned and minAvgSalePrice / maxAvgSalePrice (USD); a minimum above its maximum is rejected. agent records carry agent_phone, license_number and license_state; cash buyer records are company and transaction oriented, so contact fields vary. city and zip are the person's own location, while search_city and search_zip carry the area you searched, which differ often enough to matter for mailing lists. Optional name filters by name substring. One area and selection returns up to 50,000 people; split by state or ZIP for more, and the run reports when it stopped at that point. Each person is charged once; duplicates across overlapping searches are removed. Full specification: https://api.apify.com/v2/actors/clearpath~propwire-people-leads-scraper/builds/default . Current pricing: https://apify.com/clearpath/propwire-people-leads-scraper To reach the maintainers, add feedback="<what you needed and did not get>" to any run, including one that worked: feature requests, a missing field or option, a wrong or empty result, or which actor you are switching to or from and why. The run returns its data exactly as it would without the note, and a human reads every note.

Who you can look for

Type	Who they are
agent	Real-estate agents, with phone and licence details
cash_buyers_unverified	Buyers who have purchased for cash

Choose one per run. Narrow by states, zipCodes, an optional name filter and the activity filters:

Filter	Keeps people whose	Example
lastTransactionFrom / lastTransactionTo	last purchase or sale falls in the range	a date 24 months ago finds active cash buyers
minTransactions / maxTransactions	number of recorded transactions is in the range	3 or more finds repeat buyers
minPropertiesOwned / maxPropertiesOwned	number of properties owned now is in the range	2 or more finds portfolio owners
minAvgSalePrice / maxAvgSalePrice	average deal, in USD, is in the range	300000 to 500000

Flippers and land buyers are not available.

What you get

Field	Example
full_name	Ro Allan
company_name	CONQUEST PROPERTY MANAGEMENT
agent_phone	903-752-5655
license_number / license_state	0711933 / TX
city / zip	the person's own location
search_city / search_zip	the area you searched, kept separately
county	ST. JOHNS
transactions_count	1
avg_sale_price	2700
properties_owned	0
last_transaction_date	2026-07-15
profile_type_label / lead_types_labels	readable labels alongside the raw values

Example output

{
  "id": "eef92cfef7abbfcf0588b0ab5fd75f02",
  "full_name": "Ro Allan",
  "company_name": "CONQUEST PROPERTY MANAGEMENT",
  "profile_type_label": "Agent",
  "agent_phone": "903-752-5655",
  "license_number": "0711933",
  "license_state": "TX",
  "city": "GOOSE CREEK",
  "zip": "29445",
  "search_city": "SAINT AUGUSTINE",
  "search_zip": "32084",
  "transactions_count": 1,
  "avg_sale_price": 2700,
  "last_transaction_date": "2026-07-15"
}

Pricing

Charge	Price
Run start	$0.005 per run
Person	$2.49 per 1,000

Lead extraction charges for 1,000 people are $2.49. You are only charged for people that reach your dataset.

Good to know

• One area and selection returns up to 50,000 people. Split by state or ZIP to collect more; the run tells you when it stopped at that point.
• Phone numbers are most consistently present on agents. Cash buyer records are company and transaction oriented, so contact fields vary by record.
• Agents and cash buyers are separate runs. The two cannot be searched together; the run says so before any person is charged.

Need help?

Open an issue on the actor's Issues tab and we will respond. Feature requests are welcome, particularly additional filters or fields you need for your workflow.