Crexi: scrapers and the official API, compared

Route map

Each line is one way to get Crexi data; each stop is a field you probably need. Green lines are catalogue Actors, ranked by the published formula.

Field matrix: who returns what

Every tool with a published output schema, against the 6 fields most Crexi jobs need. A dot means the field name appears in the schema; rows can still leave it empty.

Field dictionary: the exact keys

The same core field has a different key in each Actor's output. Map these before you merge datasets; a dash means the published schema has no matching key. Need a field that is not listed here, such as email? Search every Crexi Actor by field.

Download this comparison: CSV · JSON (every tool with a published schema, matching keys per core field, price and score).

All 9 tools, scored

Catalogue Actors link to their detail pages; the score (0 to 100) is the published formula, identical for every tool. Other Store tools follow in their own table, for reference. Price is the published primary-result rate per 1,000 (the Free-plan rate where the price is tiered; higher Apify plans pay less); start events and platform usage are excluded.

Other Store tools, for reference

Scored with the same published formula and listed for comparison only; this site does not link or recommend them.

What to check before you choose

Teams use Crexi data to screen commercial properties, compare asking terms and identify listings for further research. Separate sale and lease work so prices are interpreted within the relevant transaction context.

A listing extractor suits property screening by location and property type. Broker research needs output that goes beyond names and clearly documents the contact details available.

Checklist

• Use transaction_type to separate sale and lease records, then verify what price means for each before comparing asking terms.
• Confirm location detail: the published schema includes city and state but does not list address.
• Check whether broker_names meets the research need.

Where the data is incomplete

The published schema includes cap_rate, net_operating_income and building_sqft, but their descriptions do not explain units, reporting periods or calculation methods. Those fields need source review before financial comparisons.

The tool publishes property_url rather than the reference field url, and it does not list address. It also lists broker_names without a separate broker structure, limiting what the schema establishes about location and contact coverage.

Official API route

Terms and personal data

Keep collection to public commercial listings and follow Crexi's terms for access and reuse. Review those terms before republishing property details or reusing broker information. This is general information, not legal advice.

Read Crexi's terms. Keep to public data, do not bypass logins or access controls, and check whether personal data is involved before you collect it. The can-I-scrape checklist walks through it.

How to start

1. Open the recommended Crexi tool and check how its documented inputs scope a location, property type and transaction type.
2. Submit a small search with a consistent transaction context, then inspect the returned property links against the source listings.
3. Review price, location detail and available property measurements, and save records with unresolved financial definitions flagged for follow-up.

Call Crexi Commercial Property Listings & Pricing Extractor from code

The example input uses the Actor's published defaults; set your own Crexi query before you run it. You need an Apify API token.

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "propertyUrls": [],
    "transactionTypes": [],
    "searchTerms": [],
    "propertyTypes": [],
    "subtypes": [],
    "locations": [],
    "cities": [],
    "counties": [],
    "zipCodes": [],
    "buildingClasses": [],
    "opportunityZoneOnly": False,
    "includeUnpriced": True,
    "sortBy": "Rank",
    "sortDirection": "Descending",
    "scrapeDetails": False,
    "includeSimilarProperties": False,
    "maxProperties": 5
}

run = client.actor("dataspryva/crexi-commercial-property-listings-and-pricing").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "propertyUrls": [],
    "transactionTypes": [],
    "searchTerms": [],
    "propertyTypes": [],
    "subtypes": [],
    "locations": [],
    "cities": [],
    "counties": [],
    "zipCodes": [],
    "buildingClasses": [],
    "opportunityZoneOnly": false,
    "includeUnpriced": true,
    "sortBy": "Rank",
    "sortDirection": "Descending",
    "scrapeDetails": false,
    "includeSimilarProperties": false,
    "maxProperties": 5
};

const run = await client.actor("dataspryva/crexi-commercial-property-listings-and-pricing").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

curl -X POST "https://api.apify.com/v2/actors/dataspryva~crexi-commercial-property-listings-and-pricing/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"propertyUrls":[],"transactionTypes":[],"searchTerms":[],"propertyTypes":[],"subtypes":[],"locations":[],"cities":[],"counties":[],"zipCodes":[],"buildingClasses":[],"opportunityZoneOnly":false,"includeUnpriced":true,"sortBy":"Rank","sortDirection":"Descending","scrapeDetails":false,"includeSimilarProperties":false,"maxProperties":5}'

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=dataspryva/crexi-commercial-property-listings-and-pricing",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Video

See Crexi asking prices across your buyer comps

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Questions people ask

More on Crexi

• Country comparisonUS real estate data: five listing sources compared
• Topic groupReal estate data: every website compared
• ToolWhich Crexi route fits your job?
• ToolCrexi cost by Apify plan, rows and runs

Related websites

• Zillow8 Actors
• Apartments.com1 Actor

Sources

• Crexi Commercial Property Listings & Pricing Extractor on Apify Store
• No public listing API documentation
• Crexi terms