Property Management Leads Scraper - Companies & Emails avatar

Property Management Leads Scraper - Companies & Emails

Pricing

$6.00 / 1,000 company lead scrapeds

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Property Management Leads Scraper - Companies & Emails

Property Management Leads Scraper - Companies & Emails

Scrape US property-management companies by city, state or nationwide: company name, direct contact emails, full address, the property types they manage (single-family, multi-family, HOA, commercial), description and logo. Every record is a ready-to-contact B2B lead. No login, no key, no browser.

Pricing

$6.00 / 1,000 company lead scrapeds

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0.0

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Developer

Scrape Sage

Scrape Sage

Maintained by Community

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2

Total users

1

Monthly active users

5 days ago

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Property Management Leads Scraper — Companies, Emails & Segments

Extract US property-management companies as ready-to-contact B2B leads — with the field most lead tools can't get: direct contact emails (often several named decision-makers per company). For every company you get the name, full address and extra offices, the property types they manage (single-family, multi-family, HOA/association, commercial, vacation), a description, logo and a 0–100 lead score.

No login, no cookies, no browser, no API key — fast, reliable JSON extraction.

Why this property-management scraper?

Most "property management lead" tools just run a Google Maps search and return a generic business email (or none). This actor reads a national property-management directory directly and ships the richest, most contactable list in the category — built for vendors who sell to property managers.

DataGoogle-Maps lead toolsThis actor
Company name & full address
Direct contact emails❌ rarely✅ ~100%, often multiple named contacts
Property types managed (SF / multi-family / HOA / commercial)
High-level segments to target
Company description & tagline
Additional office locations
Logo
Lead score (0–100)
New / changed-company monitor

Use cases

  • B2B lead generation — property managers are high-value buyers of proptech, maintenance, turnover/cleaning, insurance, accounting, lending, smart-home and marketing services. Export them with direct emails and the segments they manage, then feed your CRM or outreach sequence.
  • Account-based marketing — filter to the exact segment (e.g. only multi-family or HOA/association managers) and reach the named contacts.
  • Market research & TAM building — map the property-management landscape city-by-city or nationwide.
  • Channel & partnership prospecting — find managers by what they manage and where.
  • List hygiene — run in monitor mode on a schedule to capture new companies and updated contacts.

How to use

  1. Sign up for Apify — the free plan is enough to try this actor.
  2. Open the Property Management Leads Scraper, add one or more City, ST locations (or turn on Scrape the whole nationwide directory), and click Start.
  3. Watch results stream into the dataset table.
  4. Export as JSON, CSV, Excel, XML, or RSS — or pull results programmatically via the Apify API.

Input

{
"locations": ["Austin, TX", "Denver, CO"],
"categoriesFilter": ["Multi-Family"],
"withEmailOnly": true,
"maxResults": 100
}
  • locations — US cities as City, ST (e.g. Austin, TX). Returns every company that serves the city.
  • scrapeNationwide (default false) — ignore locations and pull the entire national directory (cap with maxResults).
  • companyIds / startUrls — scrape specific companies directly by ID or profile URL.
  • categoriesFilter — keep only companies that manage a segment: Single Family, Multi-Family, Association / HOA, Commercial, Vacation / Short-Term.
  • withEmailOnly / minEmails — require at least one (or N) contact emails.
  • maxResults — total cap (default 100).
  • monitorMode (default false) — return only new or changed companies since the last run.

Output

One record per company (type: "company"):

{
"type": "company",
"companyId": "12345",
"name": "Pioneer Real Estate Services",
"emails": ["laurel.fentanes@rowcal.com", "brian.moore@rowcal.com", "michele.eilers@rowcal.com"],
"primaryEmail": "laurel.fentanes@rowcal.com",
"emailCount": 3,
"street": "1801 S MoPac Expy, Suite 100",
"city": "Austin",
"state": "TX",
"zip": "78746",
"country": "US",
"additionalOffices": ["123 Main St, Round Rock, TX 78664"],
"officeCount": 2,
"tagline": "Full-service residential & HOA management in Central Texas.",
"description": "Pioneer manages single-family homes, multi-family communities and homeowner associations…",
"propertyTypes": ["Single Home or Condo", "Multi-Family (5-19 units)", "HOA"],
"categories": ["Single Family", "Multi-Family", "Association / HOA"],
"logoUrl": "https://…/logo.png",
"profileUrl": "https://www.allpropertymanagement.com/property-management/12345",
"searchLocation": "Austin, TX",
"leadScore": 88,
"scrapedAt": "2026-06-24T12:00:00.000Z"
}

What to expect (field coverage)

Always presentUsually presentPresent when published
name, emails, city, state, categories, profileUrl, leadScorestreet, zip, propertyTypes, tagline, description, logoadditionalOffices (multi-office firms)

Contact emails are present for ~all companies — many list several named decision-makers. A blank field means the company didn't publish it; nothing is dropped.

Automate & schedule

Run this actor on autopilot and pull results into your own stack:

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });
const run = await client.actor('scrapesage/property-management-leads-scraper').call({
locations: ['Austin, TX'],
categoriesFilter: ['Multi-Family'],
maxResults: 100,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} property-management leads`);

Integrate with any app

Connect the dataset to 5,000+ apps — no code required:

  • Make — multi-step automation scenarios.
  • Zapier — push new leads straight into your CRM.
  • Slack — get notified when a monitored market adds companies.
  • Google Drive / Sheets — auto-export every run to a spreadsheet.
  • Airbyte — pipe results into your data warehouse.
  • GitHub — trigger runs from commits or releases.

Use with AI assistants (MCP)

The output is clean, LLM-ready JSON. Call this actor from Claude, ChatGPT, or any agent framework through the Apify MCP server — ask your assistant to "find multi-family property managers in Denver with emails" and let it run the scraper for you.

More scrapers from scrapesage

Build a complete real-estate & property lead-gen stack:

Tips

  • Segment first: use categoriesFilter to target exactly the kind of manager your product serves (e.g. Multi-Family for unit-turn vendors, Association / HOA for community software).
  • Multi-contact outreach: each record can carry several named emails — great for reaching the right person.
  • Whole markets: enumerate several City, ST values, or use scrapeNationwide to build a complete database.
  • Keep it fresh: combine Schedules with monitorMode to capture new companies and updated contacts only.

FAQ

How do I get property managers for a city? Put it in locations as City, ST (e.g. Austin, TX). The actor returns every company that serves that city.

Does it really include emails? Yes — direct contact emails are published for nearly every company, and many list several named contacts. This is the main reason to use it over a generic Google-Maps lead tool.

Can I get the whole country? Yes — turn on scrapeNationwide and set maxResults to the number you want.

Can I export to Google Sheets, CSV, or Excel? Yes — one click in the dataset view, or automatically on every run via the Google Drive integration.

How do I keep my CRM list fresh? Create a Schedule, turn on monitorMode, and add a webhook to push new and updated companies into your CRM.

Is this legal? This actor collects publicly available business data only. You are responsible for using the data in compliance with applicable laws (e.g. CAN-SPAM/GDPR for outreach) and the source's terms.

Need help?

Open an issue on the actor's Issues tab, or visit the Apify help center. Feature requests are welcome — this actor is actively maintained.