Property Management Leads Scraper — Companies, Emails & Segments

Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by the property-management directories and company websites it reads, or any of their owners or subsidiaries. All trademarks mentioned are the property of their respective owners. Site names are referenced only to describe the publicly available sources this Actor collects data from.

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.

Data	Google-Maps lead tools	This 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 present	Usually present	Present when published
name, emails, city, state, categories, profileUrl, leadScore	street, zip, propertyTypes, tagline, description, logo	additionalOffices (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.

How much does it cost?

This Actor uses Apify's pay-per-event pricing: you are charged only for the results it delivers, with no monthly rental and no start fee. The events it can charge are:

• Company lead scraped - One property-management company: name, direct contact emails, full address & additional offices, the property types they manage (single-family / multi-family / HOA / commercial), description, logo and a lead score.

The current price of each event is shown on the Pricing tab of this page. Set a maximum total charge on the run if you want a hard cap on spend, and use the input limits to control how much the Actor fetches.

Automate & schedule

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

• Apify API — start runs, fetch datasets, and manage schedules over REST.
• apify-client for JavaScript and apify-client for Python — official SDKs.
• Schedules — run it weekly with monitorMode to keep your list fresh with new and updated companies.
• Webhooks — trigger downstream actions (CRM import, Slack alert, email sequence) the moment a run finishes.

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.

Agent-ready: autonomous payments (x402 & Skyfire)

This actor is agent-ready — AI agents can discover it, run it, and pay for it autonomously, with no Apify account and no human in the loop. It uses pay-per-event pricing and limited permissions, so it qualifies for Apify's agentic-payment standards:

• x402 — an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the Apify MCP server — no account, no API key.
• Skyfire — agent-to-service payments for fully autonomous AI-agent workflows.

Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes.

More scrapers from scrapesage

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

• Rent.com Scraper — apartments, rentals and property leads.
• Zillow Scraper — for-sale, for-rent and sold listings with agent leads.
• Redfin Scraper — listings, prices and price history.
• Realtor.com Scraper — properties, prices and agent leads.
• Crexi Scraper — commercial real-estate listings and broker leads.
• FastExpert Scraper — real estate agent leads, reviews and production stats.
• Google Maps Scraper — local business leads with contacts.
• Website Contact Scraper — emails, phones and socials from any website.
• BBB Scraper — accredited-business profiles and ratings.
• Yellow Pages Scraper — local business listings and contacts.

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.

Data & lawful use

This Actor reads business and professional listings that the professionals themselves published to be found: names, roles, firms, ratings and the contact details shown on the public listing. Because those details belong to identifiable people, treat the output as personal data. If you are in the EU or UK you are the data controller for what you do with it: have a lawful basis (usually legitimate interest for B2B prospecting or market research), keep any outreach relevant to the professional's line of work, honour opt-outs and deletion requests, and do not use the output for spam.

Under Apify's Standard Actor Contract, which governs your use of this Actor, you are the controller of any personal data in your input and output and scrapesage acts only as your processor: that data is processed solely to run your job, written only to your own Apify storage, never used for any other purpose and never shared onward. If you need help with a data-subject request that involves this Actor's output, open an issue on the Issues tab.

Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by the property-management directories and company websites it reads, or any of their owners or subsidiaries. All trademarks mentioned are the property of their respective owners.

Site and brand names are referenced only in a descriptive, nominative sense - to identify the publicly accessible sources this Actor collects data from. It is not an official product of any of them, is not authorised or certified by them, and does not distribute their software. It collects only publicly available information; you are responsible for ensuring your use of that data complies with applicable laws, regulations and the terms of each source.

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.