Crexi Commercial Real Estate Listings & Broker Scraper
Pricing
$3.00 / 1,000 per commercial listing returneds
Crexi Commercial Real Estate Listings & Broker Scraper
Scrape commercial real-estate for-sale listings from Crexi: property name, type, address, city/state/zip, asking price, cap rate, building SF, lot size, units, zoning, APN, plus the listing broker name & brokerage. Filter by state, property type, price or keyword. No login.
Pricing
$3.00 / 1,000 per commercial listing returneds
Rating
0.0
(0)
Developer
Scrapers Delight
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
5 days ago
Last modified
Categories
Share
π’ Crexi Commercial Real Estate Listings & Broker Scraper
Scrape commercial real-estate for-sale listings from Crexi: property name, type, full address, asking price, cap rate, building SF, lot size, units, NOI, zoning, APN β plus the listing broker name & brokerage. Filter by state, property type, price or keyword. No login, no API key.
π Updated: 2026-07-12 Β· πΊπΈ 240,000+ active US for-sale listings Β· π’ Office Β· Retail Β· Industrial Β· Multifamily Β· Land Β· π° Asking price, cap rate, NOI, SF, units Β· π€ Listing broker + brokerage Β· π« No login
Crexi is the leading US commercial real-estate marketplace. This actor turns its live for-sale inventory into a clean, structured dataset β every listing with the address, the investment economics an acquirer prices a deal on (asking price, cap rate, NOI, price/SF), the building & land specs, and the listing broker + brokerage. Point it at a state, a property type, a price range or a keyword and export to JSON, CSV, Excel or Google Sheets, or pull it via API.
Built for CRE investors, funds, 1031 buyers, lenders, brokers running comps, and PropTech / CRE-SaaS teams who need the commercial pipeline in a spreadsheet, refreshed on a schedule.
What it does
- π’ Full commercial for-sale inventory β every active for-sale listing on Crexi, tagged by
property_types(Office / Retail / Industrial / Multifamily / Land / β¦) andsub_type. - π Full location β address, city, county, state, ZIP, latitude/longitude and an opportunity-zone flag.
- π° The investment economics β
asking_price,cap_rate,proforma_cap_rate,noi,price_per_sqft,occupancy,tenancy,lease_type. - ποΈ Building & land specs β
building_sqft,net_rentable_area,units,lot_size,year_built,year_renovated,buildings,stories,parking_spots,zoning,apn,property_class. - π€ The listing broker lead β
broker_name, allbroker_names,brokerage_name,broker_profile_id+ profile URL, platinum flag. (Crexi masks the broker's direct phone/email behind a login, so those are not returned β enrich the brokerage downstream if you need them.) - π― Filter server-side β by
states,propertyTypes,askingPriceMin/Max, and a free-textsearchTerm(city / address / keyword). Or paste specific Crexi property URLs. - β‘ Fast & reliable β reads Crexi's own structured data feed (not fragile HTML), so runs come back complete, not blocked.
π Output β one flat record per listing
| Field | Type | Example |
|---|---|---|
π’ name | text | Walgreens - Newark, OH |
π·οΈ property_types / sub_type | text | Retail / Drug Store |
π address / city / state / zip | text | 1425 N 21st St / Newark / OH / 43055 |
π΅ asking_price | number | 3725000 |
π cap_rate | text | 8.00% |
π building_sqft / units | number | 14560 / null |
ποΈ zoning / apn | text | C-4 / 054-... |
π’ brokerage_name | text | Marcus & Millichap |
π€ broker_name | text | Jane Broker |
π url | link | https://www.crexi.com/properties/2622616/... |
Plus listing_id, description, investment_type, property_class, status, is_sold, is_unpriced, county, state_name, full_address, latitude, longitude, is_opportunity_zone, proforma_cap_rate, noi, price_per_sqft, occupancy, tenancy, lease_type, net_rentable_area, lot_size, year_built, year_renovated, buildings, stories, parking_spots, broker_names, broker_profile_id, broker_is_platinum, broker_profile_url, thumbnail_url, num_images, has_offering_memorandum, has_flyer, has_video, marketing_description, activated_on, updated_on, scraped_at.
Input
| Field | What it does |
|---|---|
| Search term | Free-text city / address / keyword, e.g. Dallas. Matches Crexi's own search box. |
| States | Two-letter US state codes, e.g. ["TX","FL"]. Leave empty to scan the whole country. |
| Property types | Limit to Office / Retail / Industrial / Multifamily / Land / β¦ Leave empty for all. |
| Min / Max asking price | Optional price band, in USD. |
| Start URLs | Optional. Specific Crexi property URLs to scrape directly. |
| Fetch full property details | On = cap rate, SF, units, NOI, zoning, APN⦠Off = faster/cheaper search-row fields only. |
| Fetch listing broker | On = broker name + brokerage per listing. |
| Max results | Cap per run. 0 = pull everything (up to a safety cap). |
| Proxy | Default Apify Proxy is fine β the data feed is not IP-blocked. |
Typical uses
- π Build a statewide commercial acquisition pipeline refreshed daily.
- π― Filter for 8%+ cap-rate net-lease retail under a price threshold in target states.
- π·οΈ Feed listings + the listing broker into a CRM, comps model or CRE deal dashboard.
Public listing data. You are responsible for complying with Crexi's Terms of Service and applicable laws. Not affiliated with CREXi, Inc. Broker direct phone/email are login-gated on Crexi and are not collected.