# Maryland Real Property Assessments Scraper (`real-estate-api/maryland-real-property-assessments-scraper`) Actor

Maryland Real Property Assessments Scraper is a Python tool to extract parcel IDs, property values, owner details, tax assessments, and use codes from the state real property database. It exports structured real estate datasets into clean CSV or JSON formats

- **URL**: https://apify.com/real-estate-api/maryland-real-property-assessments-scraper.md
- **Developed by:** [real-estate-api](https://apify.com/real-estate-api) (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

### Maryland Real Property Assessments Scraper ,Statewide Property Assessment Records

![Maryland Real Property Assessments Scraper cover](https://images.bigibyte.com/cdn-cgi/image/width=1260,height=540,fit=cover,format=webp/apify-actors-covers/maryland-real-property-assessments-scraper-cover.png)

Collect publicly available Maryland real property assessment records from the State Department of Assessments and Taxation (SDAT) open data portal. Retrieve statewide records, apply filters, explore dataset metadata, and export structured results as JSON, CSV, Excel, and other supported formats.

### Overview

This actor collects records from the Maryland Real Property Assessments dataset. It supports full dataset collection, filtered record searches, and dataset metadata retrieval.

You can choose a collection mode, set a maximum number of records, and organize the results into an Apify dataset for property research, analysis, and reporting.

### Features

- Collect Maryland real property assessment records.
- Retrieve statewide property records.
- Filter records using custom conditions.
- Search records by text when supported by the selected mode.
- Retrieve dataset column names, data types, and descriptions.
- Extract property addresses and jurisdiction information.
- Collect geographic coordinates when available.
- Include property lookup and mapping links when provided.
- Export results in JSON, CSV, Excel, and other supported formats.

### Collection Modes

**All Rows**

Collects property assessment records from the dataset, up to the configured item limit.

**Filtered Rows**

Collects records matching the supplied filter conditions. Use this mode to narrow results to a particular jurisdiction, county, or other available dataset field.

**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 property assessment records**

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

**Collect filtered records**

```json
{
  "mode": "filtered",
  "where": "jurisdiction_code_mdp_field_jurscode='ALLE'",
  "maxItems": 25,
  "requestDelaySecs": 1
}
```

### What Data Does This Actor Extract?

| Field | Description |
|---|---|
| `jurisdiction_code_mdp_field_jurscode` | Property jurisdiction code. |
| `county_name_mdp_field_cntyname` | County name. |
| `account_id_mdp_field_acctid` | Property account identifier. |
| `real_property_search_link` | Link to the property's assessment record. |
| `finder_online_link` | Online property finder link. |
| `search_google_maps_for_this_location` | Map link for the property's location. |
| `mdp_longitude_mdp_field_digxcord_converted_to_wgs84` | Longitude coordinate. |
| `mdp_latitude_mdp_field_digycord_converted_to_wgs84` | Latitude coordinate. |
| `mappable_latitude_and_longitude` | Geographic latitude and longitude values. |
| `record_key_county_code_sdat_field_1` | County code. |
| `record_key_district_ward_sdat_field_2` | District or ward code. |
| `record_key_account_number_sdat_field_3` | Property account number. |
| `mdp_street_address_mdp_field_address` | Property street address. |
| `mdp_street_address_city_mdp_field_city` | Property city. |
| `mdp_street_address_zip_code_mdp_field_zipcode` | Property ZIP code. |
| `scraped_at` | Date and time when the record was collected. |

**Note:** Available fields can vary between records. Some property details and geographic values may be missing.

### Example Output

```json
{
  "jurisdiction_code_mdp_field_jurscode": "ALLE",
  "county_name_mdp_field_cntyname": "Allegany",
  "account_id_mdp_field_acctid": "0101088483",
  "real_property_search_link": {
    "url": "https://sdat.dat.maryland.gov/RealProperty/Pages/viewdetails.aspx?County=01&SearchType=ACCT&District=01&AccountNumber=088483"
  },
  "finder_online_link": {
    "url": "https://experience.arcgis.com/experience/88b7210e32394eb6b9c605e7add9edd8/"
  },
  "search_google_maps_for_this_location": {
    "url": "https://maps.google.com/maps?t=h&q=39.679463,-78.367726"
  },
  "mdp_longitude_mdp_field_digxcord_converted_to_wgs84": "-78.367726",
  "mdp_latitude_mdp_field_digycord_converted_to_wgs84": "39.679463",
  "mappable_latitude_and_longitude": {
    "latitude": "39.679463",
    "longitude": "-78.367726"
  },
  "record_key_county_code_sdat_field_1": "01",
  "record_key_district_ward_sdat_field_2": "01",
  "record_key_account_number_sdat_field_3": "088483",
  "mdp_street_address_mdp_field_address": "11105 JOHN O PRICE RD NE",
  "mdp_street_address_city_mdp_field_city": "LITTLE ORLEANS",
  "mdp_street_address_zip_code_mdp_field_zipcode": "21766",
  "scraped_at": "2026-10-26T00:00:00+00:00"
}
```

### Use Cases

- **Property Research:** Collect Maryland property assessment records for research and analysis.
- **Real Estate Analysis:** Organize property information by county, jurisdiction, or location.
- **Property Data Management:** Build structured property datasets for internal tools and spreadsheets.
- **Geographic Analysis:** Use available coordinates and mapping links to explore property locations.
- **Market Research:** Analyze property records and assessment information across Maryland jurisdictions.
- **Data Archiving:** Store collected records for future comparison and reporting.

### Working with Your Dataset

After the actor completes a run:

1. Open the actor's **Dataset** tab.
2. Review the collected property assessment records.
3. Export the results as JSON, CSV, Excel, or another supported format.
4. Use the exported data for property research, analysis, or your own data workflows.

### FAQ

**Who is this actor for?**

It is useful for real estate professionals, analysts, researchers, and developers who need structured Maryland property assessment records.

**Can I collect records for a specific county or jurisdiction?**

Yes. Use the filtered collection mode with a condition matching the relevant dataset field.

**Can I collect the entire dataset?**

You can collect records up to the configured `maxItems` limit. Larger collections may require multiple runs.

**Can I retrieve geographic information?**

Yes. The actor includes available geographic coordinates and mapping links in the collected records.

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

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

**Do I need to log in?**

No. The actor collects publicly available dataset information without requiring a login.

### Disclaimer

This actor is an independent tool and is not affiliated with, endorsed by, sponsored by, or officially associated with the State of Maryland or the State Department of Assessments and Taxation (SDAT). 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. jurisdiction_code_mdp_field_jurscode='BALT'

## `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("real-estate-api/maryland-real-property-assessments-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("real-estate-api/maryland-real-property-assessments-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 real-estate-api/maryland-real-property-assessments-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,real-estate-api/maryland-real-property-assessments-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/0W75EMcqcbHy15Nmx/builds/S5fcFm30B4W7eP0J2/openapi.json