# HAR Texas Real Estate Scraper (`blackfalcondata/har-scraper`) Actor Scrape har.com — the largest Texas MLS portal — for homes for sale, rent and sold in every Texas market. Each listing ships three independent valuations, tax history with assigned-school ratings, and the full photo gallery. JSON/CSV out. - **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:** 2 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use 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 Texas Real Estate Scraper do? HAR Texas Real Estate Scraper extracts structured property data from [har.com](https://har.com) — including full descriptions 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": "

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 Texas Real Estate Scraper](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 Texas Real Estate Scraper 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 Texas Real Estate Scraper 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 Texas Real Estate Scraper with other apps? Yes. HAR Texas Real Estate Scraper 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 Texas Real Estate Scraper 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 Texas Real Estate Scraper 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. ### You might also like - [Comparis.ch Real Estate Scraper - Property Listings](https://apify.com/blackfalcondata/comparis-scraper?fpr=1h3gvi) — Scrape comparis.ch real estate listings with deal type, property type, rooms, price, living space. - [Harcourts Property Scraper — buy, rent, sold & leased](https://apify.com/blackfalcondata/harcourts-scraper?fpr=1h3gvi) — Scrape harcourts.net property listings across Australia, New Zealand and Fiji — price, bedrooms,. - [Idealista Scraper — Spain, Portugal & Italy](https://apify.com/blackfalcondata/idealista-scraper?fpr=1h3gvi) — Scrape idealista.com / .pt / .it property listings with prices, photos, GPS, agent phone numbers. - [Realestate.co.nz Scraper — NZ Property Listings & Valuations](https://apify.com/blackfalcondata/realestate-co-nz-scraper?fpr=1h3gvi) — Scrape realestate.co.nz — New Zealand's property portal. Get the council valuation and sales. - [Trademe Scraper — NZ Marketplace, Motors, Property & Jobs](https://apify.com/blackfalcondata/trademe-scraper?fpr=1h3gvi) — Trademe scraper for New Zealand — pull used cars, property, rentals, jobs and goods with prices,. ### 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). # 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. ## 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 '' with your token const client = new ApifyClient({ 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 '' with your token. client = ApifyClient("") # 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 " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "HAR Texas Real Estate Scraper", "description": "Scrape har.com — the largest Texas MLS portal — for homes for sale, rent and sold in every Texas market. Each listing ships three independent valuations, tax history with assigned-school ratings, and the full photo gallery. JSON/CSV out.", "version": "0.1", "x-build-id": "5gHkUpWiFFnz9heRl" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/blackfalcondata~har-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-blackfalcondata-har-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/blackfalcondata~har-scraper/runs": { "post": { "operationId": "runs-sync-blackfalcondata-har-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/blackfalcondata~har-scraper/run-sync": { "post": { "operationId": "run-sync-blackfalcondata-har-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "query": { "title": "📍 Cities or ZIP codes", "type": "string", "description": "Texas city (\"Houston\", \"Sugar Land\") or 5-digit ZIP (\"77084\"). Use a JSON array to search several: [\"Houston\", \"77024\"]." }, "listingType": { "title": "🏠 Listing type", "enum": [ "sale", "rent", "sold" ], "type": "string", "description": "Homes for sale, homes for rent, or recently sold.", "default": "sale" }, "country": { "title": "🌍 Country", "enum": [ "US" ], "type": "string", "description": "har.com covers Texas, United States.", "default": "US" }, "location": { "title": "📍 Location (alias)", "type": "string", "description": "Same as \"Cities or ZIP codes\" — provide either. Both are merged if you set both." }, "minPrice": { "title": "💵 Min price", "minimum": 0, "type": "integer", "description": "Lowest list price (for sale) or monthly rent (for rent)." }, "maxPrice": { "title": "💵 Max price", "minimum": 0, "type": "integer", "description": "Highest list price (for sale) or monthly rent (for rent)." }, "fullCoverage": { "title": "🧭 Full coverage for large searches", "type": "boolean", "description": "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": { "title": "🔗 Start URLs", "type": "array", "description": "Direct search or listing detail URLs.", "items": { "type": "string" } }, "maxResults": { "title": "💯 Max Results", "minimum": 0, "maximum": 1000, "type": "integer", "description": "Maximum total property listings to return (0 = unlimited).", "default": 25 }, "maxPages": { "title": "📄 Max Pages", "minimum": 1, "maximum": 50, "type": "integer", "description": "How many pages of results to work through for each city or ZIP code. Each page holds up to 120 homes.", "default": 5 }, "includeDetails": { "title": "📋 Include Full Details", "type": "boolean", "description": "Fetch each listing detail page for full description and structured metadata.", "default": true }, "descriptionMaxLength": { "title": "✂️ Description Max Length", "minimum": 0, "type": "integer", "description": "Truncate description to this many characters. 0 = no truncation.", "default": 0 }, "compact": { "title": "📦 Compact Output", "type": "boolean", "description": "Output only core fields (for AI-agent/MCP workflows).", "default": false }, "incrementalMode": { "title": "♻️ Incremental Mode", "type": "boolean", "description": "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.", "default": false }, "stateKey": { "title": "🔑 State Key", "type": "string", "description": "Optional. Stable identifier for the tracked search universe (e.g. \"us-software-nyc\"). Leave empty to auto-generate from search inputs." }, "emitUnchanged": { "title": "♻️ Emit Unchanged Records", "type": "boolean", "description": "When incremental, also emit records that haven't changed.", "default": false }, "emitExpired": { "title": "⚰️ Emit Expired Records", "type": "boolean", "description": "When incremental, also emit records no longer found.", "default": false }, "skipReposts": { "title": "🚫 Skip Reposts", "type": "boolean", "description": "When incremental, skip listings whose content matches an expired listing from a prior run (cross-run duplicate detection).", "default": false }, "telegramToken": { "title": "🔑 Telegram Bot Token", "type": "string", "description": "Telegram bot token (from @BotFather). Required for Telegram notifications." }, "telegramChatId": { "title": "💬 Telegram Chat ID", "type": "string", "description": "Telegram chat or channel ID (e.g. \"-100123456789\"). Required when telegramToken is set." }, "discordWebhookUrl": { "title": "🎮 Discord Webhook URL", "type": "string", "description": "Discord incoming webhook URL. Server Settings → Integrations → Webhooks → New Webhook." }, "slackWebhookUrl": { "title": "💼 Slack Webhook URL", "type": "string", "description": "Slack incoming webhook URL. api.slack.com/messaging/webhooks." }, "notificationLimit": { "title": "📊 Max Listings Per Notification", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum number of listings included in each notification message (1–20).", "default": 5 }, "notifyOnlyChanges": { "title": "🔄 Notify Only New/Updated", "type": "boolean", "description": "When Incremental Mode is on, only send notifications for NEW and UPDATED listings. Has no effect outside incremental mode.", "default": false }, "whatsappAccessToken": { "title": "📱 WhatsApp Access Token", "type": "string", "description": "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": { "title": "📞 WhatsApp Phone Number ID", "type": "string", "description": "Your WhatsApp Business phone-number ID (numeric, from Meta dashboard). Required when whatsappAccessToken is set." }, "whatsappTo": { "title": "📲 WhatsApp Recipient", "type": "string", "description": "Recipient phone in E.164 format without + (e.g. \"436641234567\"). Recipient must have messaged your business number within last 24h." }, "webhookUrl": { "title": "🪝 Generic Webhook URL", "type": "string", "description": "Receives a JSON POST with {metadata, items} after each run. Universal escape hatch for n8n / Make / Zapier / custom backends." }, "webhookHeaders": { "title": "📋 Webhook Headers", "type": "object", "description": "Optional JSON object of custom headers (e.g. {\"Authorization\":\"Bearer ...\"})." }, "descriptionFormat": { "title": "Description format", "enum": [ "all", "text", "html", "markdown" ], "type": "string", "description": "Pick a single description representation. `all` keeps every variant; `text` / `html` / `markdown` drop the others.", "default": "all" }, "excludeEmptyFields": { "title": "Exclude empty fields from output", "type": "boolean", "description": "Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards.", "default": false }, "appConnector": { "title": "Send results to a connected app", "type": "string", "description": "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": { "title": "Issue tracker team", "type": "string", "description": "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." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```