# Colorado Real Estate Licensees Scraper (`zerobreak/colorado-real-estate-licensees-scraper`) Actor

Colorado Real Estate Licensees Scraper is a Python tool to extract broker names, license types, statuses, issue dates, and disciplinary records from the DORA Division of Real Estate registry. It exports structured datasets into clean CSV or JSON formats

- **URL**: https://apify.com/zerobreak/colorado-real-estate-licensees-scraper.md
- **Developed by:** [ZeroBreak](https://apify.com/zerobreak) (community)
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

### Colorado Real Estate Licensees Scraper for Professional License and Status Records

![Colorado Real Estate Licensees Scraper cover](https://images.bigibyte.com/cdn-cgi/image/width=1260,height=540,fit=cover,format=webp/apify-actors-covers/colorado-real-estate-licensees-scraper-cover.png)

Collect publicly available real estate professional license records from the Colorado Division of Real Estate open data portal. Retrieve licensee names, license numbers, license types, current status, renewal dates, and disciplinary information. Filter records, explore dataset metadata, and export structured results as JSON, CSV, Excel, and other supported formats.

### Overview

This actor collects records from the Licensed Real Estate Professionals in Colorado dataset.

It supports full dataset collection, filtered searches, and dataset metadata retrieval. Use it to organize Colorado real estate license records into an Apify dataset for professional research, business prospecting, and license status checks.

### Features

- Collect Colorado real estate professional license records.
- Retrieve individual licensee names and entity names.
- Extract license numbers and license types.
- Identify license status and expiration dates.
- Collect initial issuance and renewal dates.
- Retrieve available disciplinary and case information.
- Include license verification links when available.
- Filter records by city or other available dataset fields.
- Retrieve dataset column names, types, and descriptions.
- Export results in JSON, CSV, Excel, and other supported formats.

### Collection Modes

**All Rows**

Collects license records from the public dataset, up to the configured item limit.

**Filtered Rows**

Collects records matching supplied filter conditions. Use this mode to narrow results by city or other available dataset fields.

**Dataset Metadata**

Retrieves information about the dataset's columns, including their names, types, and descriptions.

### Input Parameters

| Parameter | Type | Description |
|---|---|---|
| `mode` | String | Collection mode: `rows`, `filtered`, or `metadata`. |
| `maxItems` | Integer | Maximum number of records to collect. |
| `orderBy` | String | Field or expression used to order collected records. |
| `where` | String | Optional filter condition for the filtered mode. |
| `requestDelaySecs` | Number | Delay between collection requests in seconds. |

### Example Input

**Collect license records**

```json id="c8v3mx"
{
  "mode": "rows",
  "maxItems": 50,
  "orderBy": ":id",
  "requestDelaySecs": 1
}
```

**Filter by city**

```json id="k5q9wd"
{
  "mode": "filtered",
  "where": "city='DENVER'",
  "maxItems": 25,
  "requestDelaySecs": 1
}
```

### What Data Does This Actor Extract?

| Field | Description |
|---|---|
| `lastname` | License holder's last name. |
| `firstname` | License holder's first name. |
| `middlename` | License holder's middle name. |
| `suffix` | Name suffix, when available. |
| `entityname` | Business or entity name, when available. |
| `city` | Licensee's city. |
| `state` | State associated with the record. |
| `zipcode` | ZIP code. |
| `licenseprefix` | License prefix. |
| `licensenumber` | License number. |
| `licensetype` | Professional license type. |
| `licensefirstissuedate` | Date the license was first issued. |
| `licenselastreneweddate` | Most recent license renewal date. |
| `licenseexpirationdate` | License expiration date. |
| `licensestatus` | Current status shown in the dataset. |
| `casenumber` | Associated disciplinary or case number, when available. |
| `programaction` | Program or disciplinary action information, when available. |
| `disciplineeffectivedate` | Effective date of disciplinary action, when available. |
| `disciplinecompletedate` | Completion date of disciplinary action, when available. |
| `verifylicense` | Link to the license verification record. |
| `scraped_at` | Date and time when the record was collected. |

**Note:** Fields without a value for a given record are omitted from that record, so a field appears only when the dataset has data for it. For example, `entityname` appears on entity licenses such as brokerage firms and appraisal management companies, `suffix` appears on suffixed names, and `casenumber`, `programaction`, `disciplineeffectivedate`, and `disciplinecompletedate` appear on licensees with a disciplinary action. Tabular exports such as CSV still include every column across the run. To collect records that carry a specific field, use filtered mode, for example `where` set to `entityname IS NOT NULL AND entityname != ''`. Verify current license details before making compliance or business decisions.

### Example Output

An individual licensed appraiser with no entity name, suffix, or disciplinary action:

```json id="r6z2vp"
{
  "lastname": "Alexander",
  "firstname": "James",
  "middlename": "Edward",
  "city": "Littleton",
  "state": "CO",
  "zipcode": "80123",
  "licenseprefix": "AL",
  "licensenumber": "1322849",
  "licensetype": "Licensed Appraiser",
  "licensefirstissuedate": "09/12/1996",
  "licenselastreneweddate": "11/18/2025",
  "licenseexpirationdate": "12/31/2027",
  "licensestatus": "Active",
  "verifylicense": "https://apps.colorado.gov/dre/licensing/Lookup/PrintLicenseDetails.aspx?cred=11376&contact=115742",
  "scraped_at": "2026-10-26T00:00:00+00:00"
}
```

An entity license (appraisal management company) with an entity name:

```json id="e4m7qa"
{
  "entityname": "Accurate Appraisal Management Services, LLC",
  "city": "Tucson",
  "state": "AZ",
  "zipcode": "85711",
  "licenseprefix": "AMC",
  "licensenumber": "200000070",
  "licensetype": "Appraisal Management Company",
  "licensefirstissuedate": "08/17/2015",
  "licenselastreneweddate": "01/01/2026",
  "licenseexpirationdate": "12/31/2026",
  "licensestatus": "Active",
  "verifylicense": "https://apps.colorado.gov/dre/licensing/Lookup/PrintLicenseDetails.aspx?cred=164008&contact=363021",
  "scraped_at": "2026-10-26T00:00:00+00:00"
}
```

### Use Cases

- **License Research:** Explore Colorado real estate professional license records.
- **Business Prospecting:** Identify licensed professionals and real estate entities for business research.
- **Compliance Checks:** Review license status and expiration dates before further verification.
- **Market Research:** Analyze license records across different cities.
- **Disciplinary Research:** Review available case and disciplinary information.
- **Data Management:** Build structured license datasets for spreadsheets, databases, and internal tools.

### Working with Your Dataset

After the actor completes a run:

1. Open the actor's **Dataset** tab.
2. Review the collected license records.
3. Export the results as JSON, CSV, Excel, or another supported format.
4. Use the exported data for research, reporting, and business workflows.

### FAQ

**Who is this actor for?**

It is useful for real estate professionals, analysts, marketers, researchers, and developers who need structured Colorado license records.

**Can I filter records by city?**

Yes. Use filtered mode with a condition matching the `city` field, such as `city='DENVER'`.

**Does the dataset include license status?**

Yes. The actor collects the `licensestatus` field when available.

**Can I find license expiration dates?**

Yes. The `licenseexpirationdate` field contains the expiration date when provided in the record.

**Does it include disciplinary information?**

The dataset may contain case numbers, program actions, and disciplinary dates when those details are available.

**Can I run it on a schedule?**

Yes. Configure an Apify Schedule to refresh the dataset automatically at your preferred interval.

**Can I export the collected records?**

Yes. Apify supports JSON, CSV, Excel, and other dataset export formats.

### Disclaimer

This actor is an independent tool and is not affiliated with, endorsed by, sponsored by, or officially associated with the Colorado Division of Real Estate or the State of Colorado. It collects publicly available information. Users are responsible for how they use, store, and redistribute collected data.

### Is Web Scraping Legal?

Collecting information that is already public is generally legal. There is no single law that bans all forms of web scraping. The limits are the usual ones: do not break into accounts, do not take private or confidential data, and be careful with personal data and copyrighted works. A site's terms can also restrict how you access it. Facts such as a public name, price, or rating are not the same thing as republishing someone's article or photo.

This actor collects information from public pages. It does not log in and it does not bypass access controls.

For a longer explanation, see Apify's article [Is web scraping legal?](https://blog.apify.com/is-web-scraping-legal/).

# Actor input Schema

## `mode` (type: `string`):

What to scrape.

## `where` (type: `string`):

SoQL $where clause, e.g. city='DENVER'

## `q` (type: `string`):

Full-text search ($q) across text columns

## `orderBy` (type: `string`):

SoQL $order (stable paging needs a unique order)

## `maxItems` (type: `integer`):

Stop after this many successful rows. Hard max is 1000.

## `requestDelaySecs` (type: `number`):

Seconds to wait between requests.

## `userAgent` (type: `string`):

User-Agent header sent with each request.

## `timeoutSecs` (type: `integer`):

Overall run budget in seconds.

## `requestTimeoutSecs` (type: `integer`):

Per-request timeout in seconds.

## `proxyConfiguration` (type: `object`):

Optional proxy. Leave off unless you need it.

## Actor input object example

```json
{
  "mode": "rows",
  "where": "",
  "q": "",
  "orderBy": ":id",
  "maxItems": 100,
  "requestDelaySecs": 1,
  "userAgent": "ActorResearch/1.0",
  "timeoutSecs": 300,
  "requestTimeoutSecs": 30,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

Dataset rows in the overview table.

## `dataset` (type: `string`):

Full dataset for this run.

## `items` (type: `string`):

Dataset items as JSON.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("zerobreak/colorado-real-estate-licensees-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("zerobreak/colorado-real-estate-licensees-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call zerobreak/colorado-real-estate-licensees-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,zerobreak/colorado-real-estate-licensees-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ALrD6K1aLCqcMxXp1/builds/CmIKFvqvyahX05PDg/openapi.json