HAR.com Scraper

Extract Texas real estate listings from HAR.com for market research, comps, investor pipelines, and agent outreach — from $1.50 per 1,000 listings, with optional listing and agent enrichment on the same row.

What can HAR.com Scraper do for you?

• Build searchable datasets of for-sale, for-rent, and sold homes across Texas cities and ZIP codes
• Export one row per listing with price, beds/baths, MLS data, coordinates, and agent/office fields from search results
• Optionally attach listingDetails (description, rooms, exterior/interior facts, photos, schools) without creating extra dataset rows
• Optionally attach sellerDetails (agent name, phones, office, bio, languages) for lead-gen workflows
• Paginate large result sets automatically and respect maxItems caps for predictable spend
• Run on a schedule to monitor new inventory when sortBy is set to newest listings

What data can you extract from HAR.com?

Field	Description
🏠 Address & location	Street, city, state, ZIP, latitude/longitude, subdivision, market area
💰 Pricing	List price, original price, price per sqft, tax amount, days on market
🛏️ Property facts	Beds, baths, sqft, lot size, year built, property type, status
🆔 Identifiers	MLS number, listing ID, HAR ID, listing URL
🖼️ Media	Primary image URL, photo count; full photo list inside listingDetails when enabled
👤 Agent (search card)	Agent name, agent URL, office name, office phone/email
📋 listingDetails	Description, labeled facts, rooms/exterior/interior/lot/financial sections, schools, photos
🤝 sellerDetails	Agent profile phones, office address, website, languages, bio

Why use this scraper?

• 📊 Market research — Compare list prices, DOM, and property types across Houston, Dallas, Austin, and other Texas markets
• 🔔 Inventory monitoring — Schedule daily runs with sortBy: newest to catch new listings early
• 🧭 Lead generation — Enable seller details to enrich agent contact data for outreach (respect site terms and local regulations)
• 🤖 Automation — Trigger runs from API, webhooks, or integrations; export JSON/CSV from the Apify dataset
• 📦 Flexible input — Start from city names, ZIP codes, full HAR search URLs, or individual homedetail URLs

Pricing

Pay-per-event pricing — you only pay for successful charges:

Event	What triggers it	Price (no plan discount)
listing	Each listing row exported from search	$1.50 / 1,000
listing-details	Each row where full listingDetails is fetched successfully	$1.50 / 1,000
seller-details	Each row where sellerDetails is fetched successfully	$2.00 / 1,000

Apify plan discounts (per 1,000 events):

Event	Bronze	Silver	Gold
listing	$1.40	$1.30	$1.20
listing-details	$1.40	$1.30	$1.20
seller-details	$1.90	$1.80	$1.70

Example: 1,000 listings with both enrichments enabled ≈ $5.00 / 1,000 rows at standard rates ($1.50 + $1.50 + $2.00), before Apify plan discounts.

• No hidden fees or limits on usage beyond your configured maxItems and platform spend limits.

How to use HAR.com Scraper

1. Create a free Apify account if you do not have one.
2. Open HAR.com Scraper on Apify Store.
3. Set search queries (e.g. Houston) or paste a HAR search URL, configure filters, and set max items.
4. Leave Scrape listing details and Scrape seller details off for fastest/cheapest runs, or enable them for full enrichment.
5. Click Start, then download results from the Dataset tab as JSON, CSV, or Excel.

Input

Field	Type	Description
searchQueries	string[]	Cities, ZIP codes, or HAR search/listing URLs (e.g. Houston, 77002)
startUrls	object[]	HAR search or homedetail URLs (url property)
listingType	string	forSale, forRent, or sold (default: forSale)
city	string	City filter applied to searches
zipCode	string	5-digit ZIP filter
subdivision	string	Subdivision/neighborhood name
keywords	string	Additional HAR search keywords
minPrice / maxPrice	integer	List price range (USD)
minBeds / minBaths	integer	Minimum bedrooms / full bathrooms
minSqft / maxSqft	integer	Living area range
minYearBuilt	integer	Minimum year built
propertyClass	string	HAR property class (any, 1–6)
sortBy	string	newest, priceAsc, priceDesc, sqftDesc, bedsDesc, daysOnMarket
scrapeListingDetails	boolean	Fetch homedetail page into listingDetails (default: false)
scrapeSellerDetails	boolean	Fetch agent profile into sellerDetails (default: false)
maxConcurrency	integer	Parallel enrichment requests when details are enabled (1–25, default: 8)
maxItems	integer	Max listings to scrape (0 = unlimited)
proxyConfiguration	object	Apify proxy settings (residential recommended)

📝 Copy for Use:

{
  "searchQueries": ["Houston"],
  "listingType": "forSale",
  "minPrice": 100000,
  "maxPrice": 400000,
  "minBeds": 3,
  "sortBy": "newest",
  "scrapeListingDetails": true,
  "scrapeSellerDetails": false,
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Why Choose This Scraper?

• Affordable: Pay only for what you scrape — listings from $1.50/1,000, plus optional listing-details and seller-details events.
• Comprehensive: Search-card fields plus optional deep listing and agent columns on the same row.
• Easy to Use: City/ZIP/URL input, sensible defaults, and JSON you can drop into BI tools or CRMs.
• Reliable: Fail-soft per listing, residential proxy rotation on enrichment, and automatic pagination through HAR search results.

API Examples

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_API_TOKEN")
run = client.actor("rigelbytes/har-com-scraper").call(
    run_input={
        "searchQueries": ["Houston"],
        "maxItems": 50,
        "scrapeListingDetails": True,
        "proxyConfiguration": {
            "useApifyProxy": True,
            "apifyProxyGroups": ["RESIDENTIAL"],
        },
    }
)
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(len(items), "listings")

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_API_TOKEN' });
const run = await client.actor('rigelbytes/har-com-scraper').call({
    searchQueries: ['Houston'],
    maxItems: 50,
    scrapeListingDetails: true,
    proxyConfiguration: {
        useApifyProxy: true,
        apifyProxyGroups: ['RESIDENTIAL'],
    },
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.length, 'listings');

cURL

curl -X POST "https://api.apify.com/v2/acts/rigelbytes~har-com-scraper/runs?token=YOUR_APIFY_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "searchQueries": ["Houston"],
    "maxItems": 50,
    "scrapeListingDetails": true,
    "proxyConfiguration": {
      "useApifyProxy": true,
      "apifyProxyGroups": ["RESIDENTIAL"]
    }
  }'

Scheduling & Deduplication

Scheduling: In Apify Console, open the Schedules tab and run daily or weekly jobs — for example, sortBy: newest with maxItems set to your daily cap. Use separate schedules per city if you track multiple markets.

Deduplication: Each run produces a fresh dataset. To avoid duplicates across runs, key on stable fields such as listingId, harId, or url when merging into your warehouse. Example (Python):

seen = set()
unique = []
for item in items:
    key = item.get("listingId") or item.get("url")
    if key in seen:
        continue
    seen.add(key)
    unique.append(item)

Webhooks: Add an Apify webhook on Run succeeded to push new dataset items to Slack, Google Sheets, or your API.

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• Nike Scraper — Scrapes Nike.com product listings from search queries or category URLs, with optional product details and reviews.
• Old Navy Scraper — Scrapes Old Navy product listings from search queries or category URLs, with optional product details and reviews.
• OTTO.de Scraper — Scrape OTTO.de products from a search query or category URL, with optional product details and one dataset row per...
• Google Play Store App Reviews Scraper — Scrape Google Play Store app reviews by app ID or Play Store URL. Supports multiple apps, sorting, score filters,...
• Refurbed.de Product Scraper — Scrape refurbished product listings from refurbed.de using search queries or start URLs, with optional product...
• Rottentomatoes Reviews Scraper — Collect reviews and ratings from Rotten Tomatoes for reputation monitoring and customer insights.
• SEEK Australia Jobs Scraper — Scrape SEEK Australia job listings by keyword, location, or URL. Optionally enrich each job with full details,...
• Skool Community Scraper — Scrape Skool communities from discovery search and category filters. Extract listing data plus optional about-page...
• Target.com Product Scraper — Scrape Target.com products from search queries or URLs. Optionally enrich with product details and customer reviews.
• The Movie Database (TMDB) Scraper — Scrape movies, TV shows, people, and awards from themoviedb.org with the same list filters as the website — genres,...
• TripAdvisor Reviews Scraper — Scrape reviews from TripAdvisor hotel pages using GraphQL API with DataDome protection bypass.
• Trustpilot Reviews Scraper — Collect reviews and ratings from Trustpilot for reputation monitoring and customer insights.
• Trustpilot Company Scraper — Collect reviews and ratings from Trustpilot for reputation monitoring and customer insights.
• TrustRadius Scraper — Scrape TrustRadius companies, product details, and reviews from search queries, categories, or product URLs.
• Turo Car Scraper — Extract Turo cars for a city and trip dates, with optional vehicle details, host profiles, reviews, and availability...
• Under Armour Scraper — Scrapes Under Armour product listings from search queries or category URLs, with optional product details and reviews.
• Yelp Scraper — Scrape Yelp business listings by search term, category, location, or URL. Optional full business details with phone,...

🍔 Food & Delivery

Extract restaurant, grocery, and delivery platform data.

• Carrefour Product Scraper — Scrape Carrefour grocery products across UAE, Saudi Arabia, Qatar, Pakistan, and Georgia by search query, category,...
• DoorDash Scraper — Scrape menus, stores, and delivery data from DoorDash for data-driven research and automation.
• Esselunga Scraper — Extract Esselunga grocery products from search queries, category pages, and product links, with optional...
• Instacart Scraper — Scrape menus, stores, and delivery data from Instacart for data-driven research and automation.
• Lidl Product Scraper — Scrape Lidl supermarket products across Europe by search query or category/product URL. Optionally enrich each item...
• OpenTable Scraper — Scrape OpenTable restaurants by search query (with date/time/party size) or start URLs. Optional listing details and...
• Publix Scraper — Scrape menus, stores, and delivery data from Publix for data-driven research and automation.
• Tigros Scraper — Scrape Tigros grocery products from search queries or category, search, and product URLs, with optional product details.
• Uber Eats Scraper — Scrape Uber Eats stores, menus, and product details by location, search, or URL.

📰 News & Media

Scrape news, articles, and media content for research.

• BizBuySell Scraper — Scrape BizBuySell business-for-sale listings via search URLs or structured filters, with optional full listing details.
• SEC IPO Event Intelligence — Monitors SEC EDGAR for IPO filings and converts them into structured business events, with optional AI company...
• SEC Filings Scraper — Retrieve clean, normalized SEC EDGAR filing data by ticker, CIK, or company name — with document links, optional...

🛠️ Developer Tools

General-purpose scraping and automation tools.

• EU Tenders Scraper — Scrape EU public procurement notices from TED (Tenders Electronic Daily) with advanced search filters,...
• Web Crawler — This web crawler is designed to provide users with complete flexibility by allowing them to use their **own...
• Zapier Apps Scraper — Scrape Zapier’s app directory by category, subcategory, sort (popularity, premium, beta, recently launched), or URL....

🔧 Other

Additional scraping tools by Rigel Bytes.

• Adidas Product Scraper — Scrape Adidas product listings and optional product details from any supported Adidas country storefront. Supports...
• Bilibili Scraper — Scrape Bilibili videos, categories, search results, and creator spaces. Extract titles, stats, tags, and optional...
• Calvin Klein Product Scraper — Scrape Calvin Klein products from official European and UK shops using search queries or category/search URLs, with...
• Chargefinder Scraper — Scrape EV charging stations from Chargefinder by location search or charger URL. Extract map listings and optional...
• easyJet Flight Availability & Price Scraper — Scrapes easyJet calendar availability and lowest fares for selected routes.
• Electromaps Scraper — Scrape EV charging stations from Electromaps by city or country search. Extract map listings and optional...
• Google Ads Transparency Scraper — Scrape ads from the Google Ads Transparency Center by domain, advertiser, or keyword. Filter by region, time period,...
• H&M Scraper — Scrape H&M products from search queries, search URLs, and category URLs, with optional product details.
• Kickstarter Scraper — Extract Kickstarter projects from search, category, and discover URLs. Optionally add the full project page and...
• Leboncoin Listing Scraper — Scrape Leboncoin listings from a search URL or filters. Extracts title, price, location, seller, images, attributes,...
• Marktplaats.nl Scraper — Scrapes Marktplaats.nl classified listings via the LRP search API with optional VIP listing details and seller...
• Open Construction Estimate Scraper — Scrape construction cost estimates from OpenConstructionEstimate. Export the full catalog, filter by...
• Qatar Airways Flight Scraper — Search Qatar Airways fares for one-way, round-trip, and multi-city trips. Returns flight offers, fare families, and...
• Red Note Scraper — Scrape Red Note (Xiaohongshu) posts from home-feed categories or URLs. Optionally attach creator profiles and top...
• Ryanair Flight Availability Scraper — Scrape Ryanair flight availability, priced fares, and calendar dates for origin/destination routes. Agents pass IATA...
• Skyscanner Flights Scraper — Search Skyscanner one-way and return flights, apply baggage, stop, and time filters, and optionally collect...
• Stayz.com.au Scraper — Scrape Stayz Australia holiday rental listings from search queries or URLs, with optional full listing details.
• StreetEasy Scraper — Scrape StreetEasy NYC for-rent and for-sale listings from search URLs or location queries, with optional...
• Subito.it Scraper — Scrape classified ads from Subito.it by search query or URL, with website-matching filters and optional...
• The North Face Scraper — Scrape The North Face products from category pages and search, with optional color, size, and stock details.
• Timeshop24 Scraper — Extract watches and accessories from Timeshop24 category pages and search. Optionally open each product page for...
• Uhrcenter Scraper — Scrape watches and jewellery from uhrcenter.de by keyword, category URL, and shop filters, with optional product...
• Zara Scraper — Scrape Zara products from category URLs and search, with optional size, composition, and description details.

Understanding Proxies:

When scraping data or browsing anonymously, proxies are essential. They act as intermediaries, masking your original IP address and allowing you to send requests from another location.

Why Use Proxies?

• Avoid IP Blocks: By routing requests through proxies, you prevent the target website from recognizing your IP as a scraper or spammer.
• Access Geo-restricted Content: Proxies let you access content or websites restricted by location.
• Enhance Anonymity: Hide your actual IP, ensuring privacy while scraping or browsing.

Types of Proxies

1. Residential Proxies
   • Real IP addresses provided by ISPs to home users.
   • They mimic regular users, making them harder to detect.
   • Best for: Long-term, undetectable scraping, and avoiding blocks.
2. Data Center Proxies
   • IP addresses from servers in data centers.
   • Faster and cheaper than residential proxies but easier to detect and block.
   • Best for: High-speed scraping, but with a higher risk of detection.
3. Mobile Proxies
   • IPs provided by mobile carriers (3G/4G/5G networks).
   • Very difficult to detect, as they appear as regular mobile users.
   • Best for: Mobile-related scraping or avoiding sophisticated blocks.

Rotating Proxies vs. Straight Proxies

• Rotating Proxies: Every request you send goes through a different proxy, making it harder for websites to detect patterns.
• Straight Proxies: All requests are sent through the same proxy, making it easier to track your IP.

FAQs & Troubleshooting

Q: What counts as a listing charge?

Each listing row pushed to the dataset triggers the listing event. Search-card data (price, beds, agent name, URL, etc.) is included in that row even when enrichment is disabled.

Q: When are listing-details and seller-details charged?

Those events fire only when the corresponding option is enabled and that enrichment succeeds for the row. If a homedetail or agent page fails, the listing row is still saved; the failed enrichment is skipped and the extra event is not charged.

Q: Do I get separate rows for listing vs agent data?

No. listingDetails and sellerDetails are nested objects on the same listing record — one row per property.

Q: Can I paste a HAR.com search URL from my browser?

Yes. Use startUrls or put the URL in searchQueries. Query parameters on the URL (filters, sort, page) are preserved.

Q: Why are residential proxies recommended?

HAR.com uses bot protection on some pages. The actor uses direct search APIs where possible; residential proxies help when fetching optional listing and agent HTML at scale.

Q: How do I limit cost on large searches?

Set maxItems, keep scrapeListingDetails and scrapeSellerDetails off until you need them, and use maxConcurrency to balance speed vs proxy load.

About Rigel Bytes

Rigel Bytes specializes in web scraping, automation, and data analytics. We help businesses extract and leverage valuable data for informed decision-making.

Contact Us

• 📧 contact@rigelbytes.com
• 📅 Book a call

Detailed Data

Sample output shape (truncated):

[
  {
    "url": "https://www.har.com/homedetail/6826-larkstone-st-houston-tx-77028/3168126",
    "listingId": 11336581,
    "harId": 3168126,
    "mlsNumber": "54756769",
    "address": "6826 Larkstone St",
    "city": "Houston",
    "state": "TX",
    "zip": "77028",
    "price": 72329,
    "beds": 3,
    "baths": 1,
    "sqft": 960,
    "propertyType": "Single-Family",
    "statusLabel": "Coming Soon",
    "agentName": "Martina McNickles",
    "agentUrl": "https://www.har.com/martina-mcnickles/agent_mmcnickles",
    "listingDetails": {
      "description": "...",
      "facts": { "MLS#": "54756769", "Year Built": "1950 /Appraisal District" },
      "photos": ["https://mediahar.harstatic.com/817577467/hr/817577849.jpeg"]
    },
    "sellerDetails": {
      "name": "Martina McNickles",
      "phones": ["(832) 548-1165"],
      "officeName": "Realinc, Office of Jason T. Hyman"
    }
  }
]