Trulia Scraper

Extract for-sale, for-rent, and sold real estate listings from Trulia — prices, beds, baths, addresses, property type, and optional property-page details like full descriptions, photos, and agent contact info — to power market research, lead generation, and price monitoring, for just $2.50 per 1,000 listings.

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What can Trulia Scraper do for you?

• Build a searchable database of active listings across any U.S. city, state, or ZIP code in minutes, not hours.
• Enrich listing cards with full property-page details — description, photos, features, agent, and price history — in parallel.
• Monitor price changes with per-property price history and estimated values, so you never miss a drop or a hot listing.
• Generate real-estate leads by pulling agent and broker names and contact details for outreach.
• Compare markets consistently with structured fields — price, beds, baths, square footage, and property type — ready for analysis.
• Run it on autopilot via the Apify API, scheduler, or integrations, and export to JSON, CSV, or Excel.

What data can you extract?

Field	Description
🏠 address, streetAddress, city, state, zipCode, neighborhood	Full property location and neighborhood
💰 formattedPrice, price, priceMin, priceMax, currency	Listing price, including ranged prices
🛏️ bedrooms, bathrooms, livingArea, lotSize	Size and layout
🏢 propertyType, listingType, status	Property type and market (for sale, rent, sold)
📅 yearBuilt, dateListed, descriptionUpdatedAt	Age and listing dates
📸 imageUrl, imageUrls, photos, photoCount	Property photos and counts
📝 description, features, tags	Full description and structured features
👤 agentName, agentPhone, brokerName, mlsAttribution	Listing agent and broker contact details
📈 priceHistory, estimatedValue, estimatedRent	Price trends and value estimates
📍 latitude, longitude	Coordinates for mapping and spatial analysis
🔗 url, listingId, zpid, sourceQuery, detailsFetched	Source URL, IDs, and provenance

Why use this scraper?

• 🏠 Market research — benchmark listing prices, inventory, and property types across neighborhoods and cities.
• 📊 Price & rent monitoring — track how asking prices move over time with per-property price history.
• 🤝 Lead generation — collect agent and broker names and phone numbers for prospecting and CRM enrichment.
• 🤖 Automation — feed a CRM, spreadsheet, or custom app through the API, and schedule daily or weekly runs.
• 🏗️ New-construction & sold-data tracking — capture builder plans, resales, and sold comps for valuation work.

Pricing

• $2.50 / 1,000 listings
• $2.50 / 1,000 listing details — only charged when you enable includeListingDetails.
• Apify plan discounts (applied to both events): Bronze $2.40, Silver $2.30, Gold $2.20 per 1,000.
• No hidden fees or limits on usage.

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How to use Trulia Scraper

1. Create a free Apify account — sign up at apify.com (no credit card required to start).
2. Open the actor — go to Trulia Scraper on Apify Store.
3. Add a location or URL — enter a searchQueries value like "Austin, TX" (or a 5-digit ZIP), or paste a Trulia search/listing startUrl.
4. Pick your market — set searchType to FOR_SALE, FOR_RENT, or SOLD.
5. (Optional) Enable details — turn on includeListingDetails to fetch descriptions, photos, agents, and price history.
6. Click Start — when the run finishes, download your results as JSON, CSV, or Excel from the Output tab.

Input

The actor accepts either Trulia URLs, location queries, or both.

Field	Type	Required	Description
startUrls	array	Optional	Trulia search or listing URLs. Search URLs keep any filters already in the path (beds, pets, type, page). Listing URLs (/home/ or /building/) scrape that single property.
searchQueries	array	Optional	Location queries when you don't have a URL — e.g. "Austin, TX", "Austin TX", or a 5-digit ZIP. Combined with searchType to build a Trulia search URL.
searchType	string	Optional	Market applied to searchQueries only. One of FOR_SALE, FOR_RENT, SOLD (default FOR_SALE).
maxListings	integer	Optional	Maximum listings to scrape across all URLs and queries (0 = unlimited). Default 10.
includeListingDetails	boolean	Optional	Open each property page for description, photos, agent, price history, and features. Charges the listing-details event in addition to the listing. Default false.
detailConcurrency	integer	Optional	How many property pages to fetch in parallel when details are enabled (1–20). Default 5.
proxyConfiguration	object	Optional	Residential proxies are recommended. Trulia may show a press-and-hold check on some IPs; the actor rotates and retries.

📝 Copy for Use:

{
    "searchQueries": ["Austin, TX"],
    "searchType": "FOR_SALE",
    "maxListings": 10,
    "includeListingDetails": true,
    "detailConcurrency": 5,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

Why Choose This Scraper?

• Affordable: Pay only $2.50 per 1,000 listings scraped.
• Comprehensive: Extracts every core listing field plus optional full property-page details in a single run.
• Easy to Use: Paste a URL or type a location — no code required to start.
• Reliable: Rotates residential proxies, auto-retries on blocks, and falls back to Trulia's GraphQL API when the HTML payload is empty.

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Running via Apify Console

You can run this actor from the Apify Console by providing the necessary input parameters.

Running via API

You can trigger this actor using the Apify API, passing the required input in the request body.

# Python — using the Apify API client
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run = client.actor("rigelbytes/trulia-scraper").call(run_input={
    "searchQueries": ["Austin, TX"],
    "searchType": "FOR_SALE",
    "maxListings": 10,
    "includeListingDetails": True,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("address"), item.get("formattedPrice"))

# JavaScript — using the Apify API client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('rigelbytes/trulia-scraper').call({
    searchQueries: ['Austin, TX'],
    searchType: 'FOR_SALE',
    maxListings: 10,
    includeListingDetails: true,
    proxyConfiguration: {
        useApifyProxy: true,
        apifyProxyGroups: ['RESIDENTIAL'],
    },
});

const items = client.dataset(run.defaultDatasetId).listItems();
for await (const item of items) {
    console.log(item.address, item.formattedPrice);
}

# cURL — run the actor via the Apify REST API
curl -X POST "https://api.apify.com/v2/acts/rigelbytes/trulia-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
        "searchQueries": ["Austin, TX"],
        "searchType": "FOR_SALE",
        "maxListings": 10,
        "includeListingDetails": true
      }'

Scheduling & Deduplication

Scheduling: Real-estate data changes slowly, so a daily run is usually enough to keep listings fresh; weekly works for slower markets. Set up recurring runs from the Apify Console Schedules tab or via the API. If you track multiple cities, add each one as a separate searchQueries entry (e.g. "Austin, TX", "78744") and the actor will scrape them all in one run — or create one schedule per market for cleaner output.

Deduplication: The actor caps output with maxListings (default 10, 0 for unlimited) across all URLs and queries. Every record carries a unique listingId (e.g. 455106024_ZPID), zpid, and url — key on listingId to deduplicate across runs. If you write results into an existing dataset by datasetId, Apify also deduplicates identical records automatically. For custom dedup across multiple runs:

seen = set()
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    lid = item.get("listingId")
    if lid in seen:
        continue
    seen.add(lid)
    # process unique listing...

Webhooks: Trigger a webhook on run completion to pipe fresh listings into your CRM, database, or notification pipeline automatically.

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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's the difference between startUrls and searchQueries?

startUrls are full Trulia URLs you already have — paste a search URL (filters included) or a listing URL (/home/, /building/) and the actor scrapes exactly that. searchQueries are plain location strings like "Austin, TX" or a 5-digit ZIP; the actor builds the correct Trulia search URL for you using your searchType. You can use both in the same run.

Q: What does includeListingDetails add, and does it cost extra?

Turning on includeListingDetails opens each property page to collect the description, full photo set, agent name/phone, features, price history, and estimated values. It charges a separate listing-details event at $2.50 per 1,000 in addition to the base listing event, so a run with details enabled costs up to $5.00 per 1,000 listings at list price (less with plan discounts).

Q: What counts as one "listing" for pricing?

One listing event is charged for every property record pushed to your dataset. If includeListingDetails is on and details are fetched successfully, one additional listing-details event is charged for that same property. Properties whose detail page fails still count as a listing but not as a listing-details event.

Q: Why am I getting empty results or a "press and hold" check?

Trulia sometimes serves a PerimeterX press-and-hold challenge to IPs it suspects. The actor detects this, rotates to a fresh residential proxy session, and retries automatically. For best results keep proxyConfiguration on Apify Residential proxies, and re-run if a location was heavily rate-limited. A low maxListings that's already been reached can also make a run look empty — check the run-stats record for recordsScraped.

Q: Can I scrape sold listings and rentals, not just for-sale homes?

Yes. Set searchType to SOLD or FOR_RENT when using searchQueries, or paste a Trulia /sold/ or /for_rent/ URL into startUrls (those paths already encode the market). Sold listings include sold prices, and rentals include rent and availability data where Trulia exposes it.

Q: How do I download results as CSV or Excel?

Open the run in Apify Console and go to the Output tab. Your listings are in the default dataset and can be exported directly as JSON, CSV, Excel, or HTML. You can also pull them programmatically via the dataset API endpoint shown in the run output.

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

Ready to unlock the power of data? Reach out to us at (contact@rigelbytes.com) or book an appointment with us to learn more about how we can help you achieve your data goals.

Detailed Data

[
  {
    "url": "https://www.trulia.com/builder-community-plan/easton-park-plan-torres-455106024",
    "listingId": "455106024_ZPID",
    "listingType": "BUILDER_PLAN",
    "status": "for sale",
    "propertyType": "single-family home",
    "address": "Plan Torres in Easton Park, Austin, TX 78744",
    "city": "Austin",
    "state": "TX",
    "zipCode": "78744",
    "neighborhood": "Bluff Springs",
    "latitude": 30.14562,
    "longitude": -97.71122,
    "formattedPrice": "$615,990+",
    "price": 615990,
    "currency": "USD",
    "bedrooms": 4.0,
    "bathrooms": 3.0,
    "livingArea": "2,551 sqft",
    "yearBuilt": 2026,
    "imageUrl": "https://www.trulia.com/pictures/thumbs_4/zillowstatic/fp/8eee364c310fffcafd7fe3c779b5b2cd-full.jpg",
    "description": "Welcome to the Torres, an inviting 2,563-square-foot, two-story home, offering 4 bedrooms and 3 bathrooms...",
    "photoCount": 27,
    "photos": [
      "https://www.trulia.com/pictures/thumbs_5/zillowstatic/fp/8eee364c310fffcafd7fe3c779b5b2cd-full.jpg"
    ],
    "features": [
      { "name": "Parking", "value": "2 Car Garage" },
      { "name": "Year Built", "value": "2026" }
    ],
    "detailsFetched": true,
    "sourceQuery": "Austin, TX"
  },
  {
    "url": "https://www.trulia.com/home/1101-e-parmer-ln-217-austin-tx-78753-458762497",
    "listingId": "458762497_ZPID",
    "listingType": "RESALE",
    "status": "for sale",
    "propertyType": "condo",
    "address": "1101 E  Parmer Ln #217, Austin, TX 78753",
    "city": "Austin",
    "state": "TX",
    "zipCode": "78753",
    "neighborhood": "Tech Ridge",
    "formattedPrice": "$250,000",
    "price": 250000,
    "bedrooms": 2.0,
    "bathrooms": 2.5,
    "livingArea": "1,441 sqft",
    "imageUrl": "https://www.trulia.com/pictures/thumbs_4/zillowstatic/fp/69760ff39c02a429bbbcbd313d0c583d-full.jpg",
    "detailsFetched": false,
    "sourceQuery": "Austin, TX"
  }
]