Crexi Scraper — Commercial Real Estate, Prices & Broker Leads

Extract complete commercial real estate data from Crexi — for-sale and auction CRE listings with real asking prices, price per SqFt, cap rate and the full financial & physical profile of every property, high-resolution photos, geo-coordinates, and the data other scrapers leave empty. Optionally turn every listing broker into a ready-to-contact CRE lead with brokerage, license, direct phone, profile and a 0–100 lead score.

No login, no API key, no browser — fast JSON extraction straight from Crexi's own marketplace API, with 99%+ reliability.

Why this Crexi scraper?

The portfolio's first commercial real estate actor. Most real estate scrapers cover homes and apartments and ignore CRE — and the few that touch Crexi only read the listing cards. This actor pulls Crexi's internal asset, gallery and broker endpoints and ships the richest dataset in the category:

Data	Typical scrapers	This actor
Asking price + price/SqFt	partial	✅ real values
Property type & subtype (Office, Retail, Industrial, Multifamily, Land…)	partial	✅
Building size, lot size, stories, year built, zoning, APN	❌	✅
Cap rate / NOI / tenancy / occupancy / # units	❌	✅ when published
Full marketing description	❌	✅
High-resolution photo gallery	partial	✅ opt-in
Geo (lat/lng, county, ZIP, full address)	partial	✅
Sale condition + on-market / auction / sold status	❌	✅
Listing broker leads (name, brokerage, license, phone)	❌	✅ opt-in
Lead score (0–100) per broker	❌	✅
New-listing / price-drop monitoring	❌	✅ built-in

Use cases

• CRE deal sourcing — pull every Office, Retail, Industrial, Multifamily, Land, Self-Storage or Hospitality listing for a state, market, price band or keyword and feed your acquisition pipeline.
• Broker & sponsor lead generation — listing brokers are active B2B buyers and partners. Score them by active-listing count and platinum status, and reach them by direct brokerage phone (brokeragePhone) and Crexi profile.
• Pricing & market intelligence — track asking price, price/SqFt and cap-rate trends by property type and geography; spot price drops and newly listed assets first.
• Comps & underwriting — capture building/lot size, year built, tenancy, occupancy and NOI to build comp sets and pre-screen deals.
• Investor & lender prospecting — find owners and assets by market and asset class, with the broker as the warm point of contact.
• Auction watch — monitor on-market and auction inventory and re-pull only what changed.

How to use

1. Sign up for Apify — the free plan is enough to try this actor.
2. Open the Crexi Scraper, choose a mode, enter a location / property type / price filter (or paste Crexi listing URLs), 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

{
    "outputType": "search",
    "searchText": "medical office",
    "states": ["TX", "FL"],
    "propertyTypes": ["Office", "Retail"],
    "askingPriceMin": 500000,
    "askingPriceMax": 10000000,
    "includePropertyDetails": true,
    "includeBrokerLeads": true,
    "maxResults": 200
}

• outputType — search (CRE listings, the headline mode), propertyDetail (full records by ID/URL), or brokerLeads (deduped broker contacts only).
• searchText — free-text keyword/area (property name, description, ZIP, "gas station", "Austin"…). Loose match — pair it with the precise filters below.
• states — US state codes (TX, CA) or names (Texas); the exact location filter.
• propertyTypes — Multifamily, Office, Retail, Industrial, Hospitality, Land, Special Purpose, Mixed Use, Self Storage, Mobile Home Park, Senior Living, Note/Loan, Business For Sale.
• askingPriceMin / askingPriceMax / includeUnpriced — price filters.
• assetIds / startUrls — numeric Crexi IDs or /properties/<id>/<slug> URLs (for propertyDetail / brokerLeads, or to add specific listings to any run).
• includePropertyDetails (default true) — fetch each listing's full record (marketing description, cap rate / NOI / tenancy / year built / zoning…) and photo gallery.
• includeBrokerLeads (default false) — also output one deduped broker lead per listing broker.
• maxPhotos (default 25) — cap gallery image URLs per property.
• maxResults — overall cap on records for the run.
• monitorMode / monitorKey — only output new or changed listings across scheduled runs (see below).

Output

One record per listing (type: "listing" or, with details on, type: "propertyDetail"), plus optional broker leads (type: "brokerLead"):

{
    "type": "propertyDetail",
    "assetId": 2591585,
    "name": "240 E Fresno St",
    "url": "https://www.crexi.com/properties/2591585/california-240-e-fresno-st",
    "propertyTypes": ["Office", "Mixed Use", "Special Purpose"],
    "propertyTypeLabel": "Office, Mixed Use, Special Purpose",
    "subtypes": ["Traditional Office", "School", "Religious/Church"],
    "status": "Active",
    "saleCondition": "For sale by owner",
    "askingPrice": 850000,
    "askingPriceText": "$850,000",
    "currency": "USD",
    "squareFootage": 12000,
    "pricePerSqFt": 70.83,
    "pricePerSqFtText": "$70.83",
    "lotSizeSqFt": 14261,
    "stories": 2,
    "zoning": "commercial",
    "tenancy": "Vacant",
    "apn": "017104011",
    "address": "240 E Fresno St",
    "city": "Dinuba",
    "county": "Tulare",
    "state": "CA",
    "zip": "93618",
    "latitude": 36.5427648,
    "longitude": -119.3898065,
    "fullAddress": "240 E Fresno St, Dinuba, Tulare, CA 93618",
    "isInOpportunityZone": false,
    "hasOfferingMemorandum": true,
    "marketingDescription": "Located just minutes from downtown Dinuba, this versatile property offers…",
    "attributes": { "Ground Lease": "No", "Permitted Zoning": "commercial", "Lot Size (SqFt)": "14,261" },
    "images": ["https://images.crexi.com/assets/2591585/..._3000x2000_resize.jpg"],
    "imageCount": 6,
    "scrapedAt": "2026-06-18T05:00:00.000Z"
}

{
    "type": "brokerLead",
    "brokerId": 3054463,
    "fullName": "Antonio Castillo",
    "brokerTitle": "Real Estate Salesperson",
    "brokerageName": "Harness Realty",
    "brokerageAddress": "124 West Tulare Street",
    "brokerageCity": "Dinuba",
    "brokerageState": "CA",
    "brokerageZip": "93618",
    "brokeragePhone": "559-305-8361",
    "licenses": ["02095413"],
    "licenseStateCode": "CA",
    "publicProfileId": "antoniocastillo4",
    "profileUrl": "https://www.crexi.com/profile/antoniocastillo4",
    "numberOfActiveListings": 2,
    "isPlatinum": false,
    "leadScore": 67,
    "sourceAssetId": 2591585,
    "sourceAssetName": "240 E Fresno St",
    "sourceState": "CA",
    "sourceAskingPrice": 850000,
    "scrapedAt": "2026-06-18T05:00:00.000Z"
}

Monitor mode — only new & changed (works with Schedules)

Turn on monitorMode and the actor remembers what it emitted in previous runs (in a named key-value store) and outputs only new listings, price drops/rises, status changes and newly sold assets — each tagged with a monitorReason. This is complementary to, not a replacement for, Apify Schedules: you use a Schedule to decide when the actor runs (e.g. every morning), and monitor mode makes each run return only the deltas. Use a distinct monitorKey per saved search so separate watch lists keep their own memory.

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 hourly/daily/weekly with monitorMode to watch a market, asset class, or price band for new deals and price drops.
• 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/crexi-scraper').call({
    outputType: 'search',
    states: ['TX'],
    propertyTypes: ['Multifamily'],
    askingPriceMin: 1000000,
    includeBrokerLeads: true,
    maxResults: 200,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} CRE listings & broker leads`);

Integrate with any app

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

• Make — multi-step automation scenarios.
• Zapier — push new broker leads straight into your CRM.
• Slack — get notified when a monitored search finds new listings or price drops.
• 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. You can call this actor from Claude, ChatGPT, or any agent framework through the Apify MCP server — ask your assistant to "find multifamily deals in Texas under $5M and list the brokers" and let it run this 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 & B2B lead-gen stack:

• Redfin Scraper — US residential listings, sold comps & estimates.
• Realtor.ca Scraper — Canadian property listings & agent leads.
• Rightmove Scraper — UK property listings & agent leads.
• Rent.com Scraper — US apartments, rentals & property-management leads.
• Property Finder Scraper — UAE real estate, agents & leads.
• FastExpert Scraper — US real estate agent leads & reviews.
• ImportYeti Scraper — US import records, suppliers & B2B leads.
• FMCSA Trucking Scraper — motor carriers, authority & contact leads.

Tips

• Filter precisely: states is the exact geographic filter; searchText is a loose keyword/area match. Combine them (e.g. states: ["TX"] + searchText: "Austin") to focus a market.
• Cost control: includePropertyDetails (on by default) fetches the full record + photos per listing. Turn it off for fast, card-level listings, and keep includeBrokerLeads off until you specifically want leads.
• Big markets: a state + property-type query can return tens of thousands of listings — set maxResults, narrow by price band, or split runs by property type.
• Recurring monitoring: combine Schedules with monitorMode to track only new listings and price drops.
• Proxies: keep the default Apify datacenter proxy; the actor rotates a fresh IP per request.

FAQ

How do I scrape Crexi listings for a specific city or state? Put state codes in states (e.g. ["TX"]) and add the city or keyword to searchText. For exact listings, paste their /properties/<id>/<slug> URLs into startUrls.

Does it need the Crexi API or a key? No key, no login, no browser. The actor reads Crexi's own public marketplace endpoints and ships the same (and richer) data you see on the site.

Where do the broker phone numbers come from? From the license details Crexi publishes for each listing broker — the same brokerage contact a visitor sees on the listing page. Turn on includeBrokerLeads (or use brokerLeads mode) to collect them.

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 monitor new commercial listings automatically? Turn on monitorMode and create a Schedule; each run outputs only new or changed listings, optionally pushed to your CRM via a webhook or Zapier zap.

A field is null — why? Some listings genuinely don't publish a price (call-for-offers/auction), a cap rate, or an occupancy figure. Fields are null only when the data doesn't exist, not because the scraper skipped them.

Is scraping Crexi legal? This actor collects publicly available data only. You are responsible for using the data in compliance with applicable laws (e.g. GDPR/CCPA for personal data) and Crexi'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.