# HAR \[Just 💰$1.5] — Texas Real Estate (`blackfalcondata/har-scraper`) Actor

💰 $1.5 per 1,000 listings. Scrape har.com — the largest Texas MLS portal — homes for sale · rent and sold in every Texas market · each listing ships three valuations · tax history and assigned schools. Incremental mode tracks new and changed listings across scheduled runs.

- **URL**: https://apify.com/blackfalcondata/har-scraper.md
- **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community)
- **Categories:** Real estate, Lead generation, Automation
- **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 property scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

### What does HAR do?

HAR extracts structured property data from [har.com](https://har.com) — including full descriptions, prices, and location data. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions) where the source provides them.

**New to Apify?** [Sign up free](https://console.apify.com/sign-up?fpr=1h3gvi\&fp_sid=ctaplain) and use the included $5 monthly platform credit to test this actor.

### Key features

- **📊 Three independent home valuations** — every enriched listing carries `valuations[]` — three independent estimates (Blacknight, Corelogic, appraisal district), each with its value, low/high range, confidence score and margin of error. Compare the asking price against three models at once instead of trusting a single number.
- **📐 Room-by-room dimensions** — beyond beds and baths, each enriched listing ships `rooms[]` with every room's name, dimensions and floor ("Primary Bedroom", 16x15, 1st) plus flooring materials and kitchen/bedroom descriptors — the MLS-grade detail behind the listing, as typed fields rather than prose.
- **🧭 Complete market coverage** — A big metro holds more homes than the site will return in one search. Turn on Full coverage and the run works through the whole market in price ranges, so you get the entire city instead of a silently truncated slice. If any part of the market still can't be reached in full, the run tells you rather than quietly returning less.
- **📋 Detail enrichment** — two-stage scraping — list first, then enrich each listing with the full detail-page payload. One input toggle controls the depth.
- **💵 Structured pricing** — listing price parsed into `priceMin` / `priceMax` / `priceCurrency` with period (per night / per month / total) where applicable. Hidden-price flag preserved.
- **♻️ Incremental mode** — daily runs emit only listings that are new or whose price/condition changed since last run. Perfect for inventory-diff dashboards and competitive pricing alerts. Saves 80–95% on recurring monitoring.
- **🔔 Notifications** — telegram / Slack / Discord / WhatsApp / webhook alerts on each run. Combine with incremental to ping only when prices or inventory actually move.
- **🎯 Batch searches** — run multiple search variants in one job — shared dedup, single dataset for compare/diff downstream.
- **📦 Compact mode** — light payload with core fields only — comparable rows across listings without HTML or metadata overhead. Perfect for pricing dashboards.
- **📌 Change classification** — each record carries a `changeType` of NEW / UPDATED / UNCHANGED / REAPPEARED / EXPIRED. Default emits NEW + UPDATED + REAPPEARED; opt into the others with `emitUnchanged` / `emitExpired`. Repost detection flags previously-expired listings that come back.
- **🔌 MCP connectors** — export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows.

### What data can you extract from har.com?

Each result includes Core property fields (`listingId`, `listingKey`, `title`, `subtitle`, `entityName`, `category`, `subcategory`, and `location`, and more) and detail fields when enrichment is enabled (`description`, `descriptionText`, `descriptionHtml`, `descriptionMarkdown`, and `descriptionLength`). In standard mode, all fields are always present — unavailable data points are returned as `null`, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions where the source provides them.

### Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

- **`query`** — Texas city ("Houston", "Sugar Land") or 5-digit ZIP ("77084"). Use a JSON array to search several: \["Houston", "77024"].
- **`listingType`** — Homes for sale, homes for rent, or recently sold. (default: `"sale"`)
- **`country`** — har.com covers Texas, United States. (default: `"US"`)
- **`location`** — Same as "Cities or ZIP codes" — provide either. Both are merged if you set both.
- **`minPrice`** — Lowest list price (for sale) or monthly rent (for rent).
- **`maxPrice`** — Highest list price (for sale) or monthly rent (for rent).
- **`fullCoverage`** — A big metro holds more homes than the site will return in one search. Turn this on to work through the whole market in price ranges so nothing is missed. Uses extra requests and takes longer — leave off for quick samples. (default: `false`)
- **`startUrls`** — Direct search or listing detail URLs.
- **`maxResults`** — Maximum total property listings to return (0 = unlimited). (default: `25`)
- **`maxPages`** — How many pages of results to work through for each city or ZIP code. Each page holds up to 120 homes. (default: `5`)
- **`includeDetails`** — Fetch each listing detail page for full description and structured metadata. (default: `true`)
- **`descriptionMaxLength`** — Truncate description to this many characters. 0 = no truncation. (default: `0`)
- ...and 21 more parameters

### Input examples

**Basic search** — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

```json
{
  "query": "Houston",
  "maxResults": 50
}
```

**Incremental tracking** — Only emit properties that changed since the previous run with this `stateKey`.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set `emitUnchanged: true` to include unchanged records as well.

```json
{
  "query": "Houston",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "houston-tracker"
}
```

**Compact output for AI agents** — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

```json
{
  "query": "Houston",
  "maxResults": 50,
  "compact": true
}
```

### Output

Each run produces a dataset of structured property records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

### Example property record

```json
{
  "listingId": "har.com:11034034",
  "listingKey": "11034034",
  "title": "4334 Hill Forest Dr, Houston, TX 77345",
  "subtitle": "Single-Family",
  "entityName": "Better Homes and Gardens Real Estate Gary Greene - Champions",
  "category": "Single-Family",
  "location": "4334 Hill Forest Dr, Houston, TX 77345",
  "description": "This exceptional Kingwood residence offers convenient single-story living, featuring four bedrooms, two full bathrooms, and two half-bathrooms. The property is equipped with a 24W full-house generator...",
  "descriptionText": "This exceptional Kingwood residence offers convenient single-story living, featuring four bedrooms, two full bathrooms, and two half-bathrooms. The property is equipped with a 24W full-house generator...",
  "descriptionHtml": "<p>This exceptional Kingwood residence offers convenient single-story living, featuring four bedrooms, two full bathrooms, and two half-bathrooms. The property is equipped with a 24W full-house genera...",
  "descriptionMarkdown": "This exceptional Kingwood residence offers convenient single-story living, featuring four bedrooms, two full bathrooms, and two half-bathrooms. The property is equipped with a 24W full-house generator...",
  "descriptionLength": 823,
  "priceText": "$397,500",
  "priceValue": 397500,
  "priceCurrency": "USD",
  "listingType": "For Sale",
  "publishedAt": "2026-07-17",
  "canonicalUrl": "https://www.har.com/homedetail/4334-hill-forest-dr-kingwood-tx-77345",
  "sourceUrl": "https://www.har.com/homedetail/4334-hill-forest-dr-kingwood-tx-77345/8619577",
  "sourceCountry": "US",
  "sourceDomain": "www.har.com",
  "searchQuery": "Houston",
  "searchUrl": "https://www.har.com/houston/realestate/for_sale?for_sale=1&incity=houston",
  "isSponsored": false,
  "fetchedAt": "2026-07-17T12:36:52.547Z",
  "detailFetched": true,
  "contentQuality": "full",
  "imageUrl": "https://mediahar.harstatic.com/782372176/lr/789834262.jpeg",
  "photosCount": 47,
  "galleryUrls": [
    "https://mediahar.harstatic.com/782372176/xl/789834262.jpeg",
    "https://mediahar.harstatic.com/782372176/xl/789834263.jpeg",
    "https://mediahar.harstatic.com/782372176/xl/789834266.jpeg",
    "https://mediahar.harstatic.com/782372176/xl/789834267.jpeg",
    "https://mediahar.harstatic.com/782372176/xl/789834268.jpeg",
    "... 42 more items"
  ],
  "videosCount": 0,
  "toursCount": 0,
  "floorPlansCount": 0,
  "has3dTour": false,
  "harId": "8619577",
  "mlsNumber": "13100085",
  "address": "4334 Hill Forest Dr, Houston, TX 77345",
  "streetAddress": "4334 Hill Forest Dr",
  "city": "Houston",
  "state": "TX",
  "zip": "77345",
  "county": "Harris County",
  "countyFips": "48201",
  "subdivision": "Sand Creek Village Sec 01",
  "marketArea": "Kingwood East",
  "latitude": 30.054291,
  "longitude": -95.170748,
  "status": "For Sale",
  "availability": "InStock",
  "propertyType": "Single-Family",
  "architectureStyle": "Ranch,Traditional",
  "beds": 4,
  "bathsFull": 2,
  "bathsHalf": 2,
  "bathsText": "2 full & 2 half baths",
  "sqft": 2640,
  "pricePerSqft": 151,
  "lotSqft": 10176,
  "lotSizeAcres": 0.2336,
  "stories": 1,
  "yearBuilt": 1982,
  "hasPool": false,
  "maintenanceFee": "$42.08 / Annually",
  "badges": [
    "Just Listed"
  ],
  "isNewConstruction": false,
  "hasOpenHouse": false,
  "hasPriceReduction": false,
  "rooms": [
    {
      "name": "Family Room",
      "dimensions": "20x20",
      "floor": "1st"
    },
    {
      "name": "Dining",
      "dimensions": "14x13",
      "floor": "1st"
    },
    {
      "name": "Kitchen",
      "dimensions": "16x14",
      "floor": "1st"
    },
    {
      "name": "Breakfast",
      "dimensions": "11x09",
      "floor": "1st"
    },
    {
      "name": "Primary Bedroom",
      "dimensions": "19x14",
      "floor": "1st"
    },
    "... 6 more items"
  ],
  "floors": "Carpet, Tile, Wood",
  "bedroomDesc": "All Bedrooms Down,En-Suite Bath,Primary Bed - 1st Floor,Walk-In Closet",
  "kitchenDesc": "Breakfast Bar,Kitchen open to Family Room,Pantry,Pots/Pans Drawers",
  "valuations": [
    {
      "source": "Blacknight",
      "value": 386000,
      "minValue": 355120,
      "maxValue": 416880,
      "confidenceScore": 92,
      "marginOfError": 8,
      "currency": "USD"
    },
    {
      "source": "Corelogic",
      "value": 406500,
      "minValue": 377900,
      "maxValue": 435000,
      "confidenceScore": 92,
      "marginOfError": 7,
      "currency": "USD"
    },
    {
      "source": "District",
      "value": 408506,
      "currency": "USD"
    }
  ],
  "features": {
    "Fireplace": "1/Gas Connections,Gaslog Fireplace",
    "Countertop": "Granite",
    "Bathroom Description": "Full Secondary Bathroom Down, Half Bath, Primary Bath: Double Sinks, Primary Bath: Jetted Tub, Primary Bath: Separate Shower, Secondary Bath(s): Double Sinks, Secondary Bath(s): Tub/Shower Combo",
    "Room Description": "Breakfast Room, Entry, Family Room, Formal Dining, Utility Room in House",
    "Cooling": "Central Electric",
    "Heating": "Central Gas",
    "Connections": "Electric Dryer Connections, Gas Dryer Connections, Washer Connections",
    "Dishwasher": "Yes",
    "Disposal": "Yes",
    "Microwave": "Yes",
    "Oven": "Double Oven, Electric Oven",
    "Range": "Gas Cooktop",
    "Energy Feature": "Attic Vents, Ceiling Fans, Digital Program Thermostat, Generator, High-Efficiency HVAC, Insulated/Low-E windows",
    "Interior": "Crown Molding, Fire/Smoke Alarm, Formal Entry/Foyer, High Ceiling, Refrigerator Included, Window Coverings",
    "Roof": "Composition",
    "Foundation": "Slab",
    "Private Pool": "No",
    "Exterior Type": "Brick, Wood",
    "Lot Description": "Corner",
    "Garage Carport": "Auto Garage Door Opener,Double-Wide Driveway",
    "Water Sewer": "Public Sewer, Public Water",
    "Area Pool": "Yes",
    "Exterior": "Back Yard Fenced, Patio/Deck, Sprinkler System"
  },
  "cooling": "Central Electric",
  "heating": "Central Gas",
  "roof": "Composition",
  "foundation": "Slab",
  "exteriorType": "Brick, Wood",
  "lotDescription": "Corner",
  "waterSewer": "Public Sewer, Public Water",
  "taxInfo": {
    "history": [
      {
        "year": 2025,
        "costPerSqft": 154.74,
        "marketValue": 408506,
        "marketValueChangePct": -3.28,
        "taxAssessment": 408506,
        "taxAmount": 9562
      },
      {
        "year": 2024,
        "costPerSqft": 159.99,
        "marketValue": 422376,
        "marketValueChangePct": 13.44,
        "taxAssessment": 384288,
        "taxAmount": 8995
      },
      {
        "year": 2023,
        "costPerSqft": 141.03,
        "marketValue": 372318,
        "marketValueChangePct": 11.63,
        "taxAssessment": 349353,
        "taxAmount": 7928
      },
      {
        "year": 2022,
        "costPerSqft": 126.33,
        "marketValue": 333518,
        "marketValueChangePct": 14.67,
        "taxAssessment": 317594,
        "taxAmount": 8206
      },
      {
        "year": 2021,
        "costPerSqft": 110.17,
        "marketValue": 290852,
        "marketValueChangePct": 10.81,
        "taxAssessment": 288722,
        "taxAmount": 7674
      },
      "... 9 more items"
    ],
    "marketValueHistory": [
      {
        "year": 2012,
        "marketValue": 197969
      },
      {
        "year": 2013,
        "marketValue": 200745
      },
      {
        "year": 2014,
        "marketValue": 205000
      },
      {
        "year": 2015,
        "marketValue": 245000
      },
      {
        "year": 2016,
        "marketValue": 245000
      },
      "... 9 more items"
    ],
    "marketLandValue": 98736,
    "taxRates": [
      {
        "district": "HUMBLE ISD",
        "ratePct": 1.1052
      },
      {
        "district": "HARRIS COUNTY",
        "ratePct": 0.381
      },
      {
        "district": "HC FLOOD CONTROL DIST",
        "ratePct": 0.0497
      },
      {
        "district": "PORT OF HOUSTON AUTHORITY",
        "ratePct": 0.0059
      },
      {
        "district": "HC HOSPITAL DIST",
        "ratePct": 0.1876
      },
      "... 3 more items"
    ],
    "totalTaxRatePct": 2.3593
  },
  "schools": [
    {
      "id": "101913112",
      "name": "Deerwood Elementary School",
      "level": "elementary",
      "district": "HUMBLE ISD",
      "ratingLetter": "A",
      "ratingText": "Excellent",
      "url": "https://www.har.com/school/101913112/deerwood-elementary-school",
      "assigned": true
    },
    {
      "id": "101913045",
      "name": "Riverwood Middle School",
      "level": "middle",
      "district": "HUMBLE ISD",
      "ratingLetter": "A",
      "ratingText": "Excellent",
      "url": "https://www.har.com/school/101913045/riverwood-middle-school",
      "assigned": true
    },
    {
      "id": "101913002",
      "name": "Kingwood High School",
      "level": "high",
      "district": "HUMBLE ISD",
      "ratingLetter": "B",
      "ratingText": "Good",
      "url": "https://www.har.com/school/101913002/kingwood-high-school",
      "assigned": true
    }
  ],
  "daysOnMarket": 0,
  "avmPricePerSqft": 146.21,
  "agentName": "Trina Roberson",
  "agentUrl": "https://www.har.com/trina-roberson/agent_roberson",
  "agentId": "roberson",
  "agentPhotoUrl": "https://pics.harstatic.com/realtors/roberson_112x112.jpg",
  "agentIsPlatinum": false,
  "brokerName": "Better Homes and Gardens Real Estate Gary Greene - Champions",
  "brokerUrl": "https://www.har.com/better-homes-and-gardens-real-estate-gary-greene---champions/broker_GGPR07",
  "brokerId": "GGPR07"
}
```

### Incremental fields

When incremental mode is on, each record also carries:

- `changeType` — one of `NEW`, `UPDATED`, `UNCHANGED`, `REAPPEARED`, `EXPIRED`. Default output covers `NEW` / `UPDATED` / `REAPPEARED`; set `emitUnchanged: true` or `emitExpired: true` to opt into the others.
- `firstSeenAt`, `lastSeenAt` — ISO-8601 timestamps tracking the listing across runs.
- `isRepost`, `repostOfId`, `repostDetectedAt` — populated when a new listing matches the tracked content of a previously expired one. Set `skipReposts: true` to drop detected reposts from the output.

### How to scrape har.com

1. Go to [HAR](https://apify.com/blackfalcondata/har-scraper?fpr=1h3gvi) in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set `maxResults` to control how many results you need.
4. Enable `includeDetails` if you need full descriptions.
5. Click **Start** and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

### Use cases

- Extract property data from har.com for market research and competitive analysis.
- Track pricing trends across regions and categories over time.
- Monitor new and changed properties on scheduled runs without processing the full dataset every time.
- Use structured location data for regional analysis, mapping, and geo-targeting.
- Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
- Export clean, structured data to dashboards, spreadsheets, or data warehouses.

### How much does it cost to scrape har.com?

HAR uses [pay-per-event](https://docs.apify.com/platform/actors/paid-actors/pay-per-event) pricing. You pay a small fee when the run starts and then for each result that is actually produced.

- **Run start:** $0.005 per run
- **Per result:** $0.0015 per property record

Example costs:

- 10 results: **$0.02**
- 25 results: **$0.042**
- 100 results: **$0.15**
- 200 results: **$0.3**
- 500 results: **$0.76**

#### Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of properties that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 100 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

| Churn rate | Full re-scrape run cost | Incremental run cost | Savings vs full re-scrape | Monthly cost after baseline |
|---|---:|---:|---:|---:|
| 5% — stable niche query | $0.15 | $0.01 | $0.14 (92%) | $0.38 |
| 15% — moderate broad query | $0.15 | $0.03 | $0.13 (82%) | $0.82 |
| 30% — high-volume aggregator | $0.15 | $0.05 | $0.11 (68%) | $1.50 |

Full re-scrape monthly cost at daily polling: $4.65. First month with incremental costs $0.52 / $0.95 / $1.60 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

### FAQ

#### How many results can I get from har.com?

The number of results depends on the search query and available properties on har.com. Use the `maxResults` parameter to control how many results are returned per run.

#### Does HAR support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed properties on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

#### Can I integrate HAR with other apps?

Yes. HAR works with Apify's [integrations](https://apify.com/integrations?fpr=1h3gvi) to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

#### Can I use HAR with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the [Apify API](https://docs.apify.com/api/v2). Client libraries are available for JavaScript, Python, and other languages.

#### Can I use HAR through an MCP Server?

Yes. Apify provides an [MCP Server](https://apify.com/apify/actors-mcp-server?fpr=1h3gvi) that lets AI assistants and agents call this actor directly. Use compact mode, `descriptionMaxLength`, a single `descriptionFormat`, and `excludeEmptyFields` to keep payloads manageable for LLM context windows.

#### Is it legal to scrape har.com?

This actor extracts publicly available data from har.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

#### Your feedback

If you have questions, need a feature, or found a bug, please [open an issue](https://apify.com/blackfalcondata/har-scraper/issues?fpr=1h3gvi) on the actor's page in Apify Console. Your feedback helps us improve.

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### Getting started with Apify

New to Apify? [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=1h3gvi\&fp_sid=ctaplain) — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click **Start** — export results as JSON, CSV, or Excel

Need more later? [See Apify pricing](https://apify.com/pricing?fpr=1h3gvi).

### Disclaimer

This actor accesses only publicly available data on har.com. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with HAR's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is not affiliated with, endorsed by, or connected to HAR.

### Search keywords

har scraper, har api, apify har, har data extraction, har.com scraper, har.com data, har.com api, property listings scraper, real estate data, property data, har.com listings, texas real estate, texas mls, homes for sale texas, houston real estate.

# Actor input Schema

## `query` (type: `string`):

Texas city ("Houston", "Sugar Land") or 5-digit ZIP ("77084"). Use a JSON array to search several: \["Houston", "77024"].

## `listingType` (type: `string`):

Homes for sale, homes for rent, or recently sold.

## `country` (type: `string`):

har.com covers Texas, United States.

## `location` (type: `string`):

Same as "Cities or ZIP codes" — provide either. Both are merged if you set both.

## `minPrice` (type: `integer`):

Lowest list price (for sale) or monthly rent (for rent).

## `maxPrice` (type: `integer`):

Highest list price (for sale) or monthly rent (for rent).

## `fullCoverage` (type: `boolean`):

A big metro holds more homes than the site will return in one search. Turn this on to work through the whole market in price ranges so nothing is missed. Uses extra requests and takes longer — leave off for quick samples.

## `startUrls` (type: `array`):

Direct search or listing detail URLs.

## `maxResults` (type: `integer`):

Maximum total property listings to return (0 = unlimited).

## `maxPages` (type: `integer`):

How many pages of results to work through for each city or ZIP code. Each page holds up to 120 homes.

## `includeDetails` (type: `boolean`):

Fetch each listing detail page for full description and structured metadata.

## `descriptionMaxLength` (type: `integer`):

Truncate description to this many characters. 0 = no truncation.

## `compact` (type: `boolean`):

Output only core fields (for AI-agent/MCP workflows).

## `incrementalMode` (type: `boolean`):

Compare against previous run state. stateKey is optional — it defaults to a value derived from your search inputs (cities, ZIP codes, start URLs, country) so different searches never share state.

## `stateKey` (type: `string`):

Optional. Stable identifier for the tracked search universe (e.g. "us-software-nyc"). Leave empty to auto-generate from search inputs.

## `emitUnchanged` (type: `boolean`):

When incremental, also emit records that haven't changed.

## `emitExpired` (type: `boolean`):

When incremental, also emit records no longer found.

## `skipReposts` (type: `boolean`):

When incremental, skip listings whose content matches an expired listing from a prior run (cross-run duplicate detection).

## `telegramToken` (type: `string`):

Telegram bot token (from @BotFather). Required for Telegram notifications.

## `telegramChatId` (type: `string`):

Telegram chat or channel ID (e.g. "-100123456789"). Required when telegramToken is set.

## `discordWebhookUrl` (type: `string`):

Discord incoming webhook URL. Server Settings → Integrations → Webhooks → New Webhook.

## `slackWebhookUrl` (type: `string`):

Slack incoming webhook URL. api.slack.com/messaging/webhooks.

## `notificationLimit` (type: `integer`):

Maximum number of listings included in each notification message (1–20).

## `notifyOnlyChanges` (type: `boolean`):

When Incremental Mode is on, only send notifications for NEW and UPDATED listings. Has no effect outside incremental mode.

## `whatsappAccessToken` (type: `string`):

WhatsApp Cloud API permanent access token (System User token from Meta Business). Recipient must have messaged the business number within the last 24h (service-conversation window — free since Nov 2024).

## `whatsappPhoneNumberId` (type: `string`):

Your WhatsApp Business phone-number ID (numeric, from Meta dashboard). Required when whatsappAccessToken is set.

## `whatsappTo` (type: `string`):

Recipient phone in E.164 format without + (e.g. "436641234567"). Recipient must have messaged your business number within last 24h.

## `webhookUrl` (type: `string`):

Receives a JSON POST with {metadata, items} after each run. Universal escape hatch for n8n / Make / Zapier / custom backends.

## `webhookHeaders` (type: `object`):

Optional JSON object of custom headers (e.g. {"Authorization":"Bearer ..."}).

## `descriptionFormat` (type: `string`):

Pick a single description representation. `all` keeps every variant; `text` / `html` / `markdown` drop the others.

## `excludeEmptyFields` (type: `boolean`):

Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards.

## `appConnector` (type: `string`):

Optional. Pick a connected app under Settings → API & Integrations to receive your results (including any contact details). Best-effort across MCP connectors as Apify expands its catalog.

## `mcpIssueTeam` (type: `string`):

Only when the connected app is an issue tracker: the team (name or ID) the summary issue is created under, if that app requires one.

## `cityName` (type: `string`):

City or region to search in (e.g. "Berlin", "Madrid"). Alias for Location — either field works.

## `lat` (type: `number`):

Latitude of a search centre. Pair with lon (and radiusKm) to keep only listings within a set distance; every returned listing is then stamped with its distance from this point.

## `lon` (type: `number`):

Longitude of the search centre. Pair with lat.

## `radiusKm` (type: `integer`):

Keep only listings within this many kilometres of the centre (lat, lon). Leave lat/lon blank to disable. Each returned listing carries its distance from the centre in the distanceKm field. Coordinates are detail-only on har.com, so setting a radius automatically fetches full listing details even if Include Full Details is off.

## Actor input object example

```json
{
  "query": "Houston",
  "listingType": "sale",
  "country": "US",
  "fullCoverage": false,
  "maxResults": 5,
  "maxPages": 5,
  "includeDetails": true,
  "descriptionMaxLength": 0,
  "compact": false,
  "incrementalMode": false,
  "emitUnchanged": false,
  "emitExpired": false,
  "skipReposts": false,
  "notificationLimit": 5,
  "notifyOnlyChanges": false,
  "descriptionFormat": "all",
  "excludeEmptyFields": false
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 = {
    "query": "Houston",
    "fullCoverage": false,
    "maxResults": 5,
    "descriptionFormat": "all",
    "excludeEmptyFields": false
};

// Run the Actor and wait for it to finish
const run = await client.actor("blackfalcondata/har-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 = {
    "query": "Houston",
    "fullCoverage": False,
    "maxResults": 5,
    "descriptionFormat": "all",
    "excludeEmptyFields": False,
}

# Run the Actor and wait for it to finish
run = client.actor("blackfalcondata/har-scraper").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "query": "Houston",
  "fullCoverage": false,
  "maxResults": 5,
  "descriptionFormat": "all",
  "excludeEmptyFields": false
}' |
apify call blackfalcondata/har-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=blackfalcondata/har-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/eh32vmKGLyceYYmGz/builds/kL38UmWebbKRgMzhT/openapi.json