Pricing

Rating

Developer

Actor stats

Categories

Share

Trulia Scraper — US Listings, Neighborhood Intel & Comps 🏡

👁 SIÁN Agency Store
👁 Redfin Property Scraper
👁 Realtor.com Scraper
👁 Zillow Agent Scraper

🎉 The only Trulia scraper that turns every property into a full neighborhood dossier — amenities, schools, demographics and comparable homes

Built for real estate investors, buyer's agents, relocation services and market analysts who need more than a listing card

📋 Overview

Pull rich US residential data from Trulia in one run — for-sale, for-rent and recently-sold listings, plus the neighborhood intelligence most scrapers leave behind. Search a whole metro or drill into a single home; either way you get structured, analysis-ready data.

Why professionals choose this Trulia scraper:

• ✅ Neighborhood intel built in: every detail lookup returns nearby amenities, schools (with ratings), demographics, neighborhood ratings, price history, taxes and HOA — not just the listing card.
• ⚡ 10 lookup modes, one actor: search by location, ZIP, coordinates or URL; detail by listing ID, URL or address; nearby amenities; comparable homes; and location autocomplete.
• 🎯 For sale + for rent + sold: one searchType switch covers active sales, rentals and recently-sold comps.
• 💰 Pay-per-result pricing: only charged for rows that land in your dataset — cheaper than monthly flat-rate Trulia tools.
• 💎 Comparable homes (comps): instant comp set for any listing, ideal for valuation and offer prep.
• ✨ Built-in market KPIs + HTML report: median price, price-per-sqft distribution and city / status / type breakdowns, every run.

This is the third independent US listings source in the SIÁN real estate suite — pair it with the Redfin and Realtor.com scrapers to cross-validate prices, beds/baths and status across three sources.

✨ Features

• 🔎 Search by location: city/state, neighborhood, ZIP or free text, fully paginated.
• 🏷️ Search by ZIP: pull every listing in a 5-digit ZIP.
• 🌐 Search by coordinates: lat/long + radius for map-bounded farming.
• 🔗 Search by URL: paste any Trulia search page and collect the results.
• 🆔 Detail by ID / URL / address: full property dossier from any identifier.
• 📍 Neighborhood amenities: nearby restaurants, groceries, shopping, fitness and arts, categorized.
• 🔁 Comparable homes: the similar set for any listing.
• 🎓 Schools + demographics: assigned and nearby schools with ratings, plus area demographics.
• 📈 Price history, taxes & HOA: the financial context behind each listing.
• 📊 Market KPIs + HTML report: median price, price/sqft, and breakdowns every run.

🎬 Quick Start

Pick an operation, give it a location (or a listing identifier), and run. Results stream to your Apify dataset as structured JSON. Start on the FREE tier to test, then scale.

curl-X POST "https://api.apify.com/v2/acts/sian.agency~trulia-property-scraper/runs?token=YOUR_TOKEN"\
-H'Content-Type: application/json'\
-d'{"operation": "searchByLocation", "location": "Austin, TX", "searchType": "FOR_SALE", "maxResults": 50}'

🚀 Getting Started (3 Simple Steps)

Step 1: Choose an operation

Search a market (searchByLocation / searchByZip / searchByCoordinates / searchByUrl) or look up one home (detailsById / detailsByUrl / detailsByAddress), then enrich it with amenities or similar.

Step 2: Provide the input

A location string, ZIP, lat/long, Trulia URL, listing ID or address — whatever the operation needs.

Step 3: Run and export

Collect structured rows in the dataset and a market-KPI HTML report in the key-value store. Export to JSON, CSV or Excel.

That's it! In under a minute, you'll have:

• A clean dataset of Trulia listings (or a full property dossier)
• Neighborhood amenities, schools and comparable homes
• A market-KPI summary report

📥 Input Configuration

Operations: searchByLocation · searchByZip · searchByCoordinates · searchByUrl · detailsById · detailsByUrl · detailsByAddress · amenities · similar · autocomplete

Example — search a metro:

{"operation":"searchByLocation","location":"Austin, TX","searchType":"FOR_RENT","maxResults":100}

Example — full property dossier:

{"operation":"detailsByUrl","url":"/home/7708-dalmation-ln-557-austin-tx-78724-463215544"}

Example — neighborhood amenities:

{"operation":"amenities","url":"/home/7708-dalmation-ln-557-austin-tx-78724-463215544","maxResults":50}

📤 Output

Results are saved to the Apify dataset. Listing rows, detail rows, amenity rows and suggestion rows each carry a rowType. Key fields include:

Example — listing row:

{
"rowType":"property",
"propertyId":"463215544_ZPID",
"listingId":"7463215544",
"url":"https://www.trulia.com/home/7708-dalmation-ln-557-austin-tx-78724-463215544",
"status":"For Sale",
"address":{"city":"Austin","state":"TX","zipCode":"78724","full":"7708 Dalmation Ln #557, Austin, TX 78724"},
"location":{"latitude":30.3171,"longitude":-97.6247},
"pricing":{"price":"$129,995"},
"specs":{"beds":"5bd","baths":"3ba","floorSpace":"2,128 sqft"}
}

A market-KPI HTML report (median price, price/sqft, breakdowns) is saved to the key-value store as report.html.

💼 Use Cases & Examples

1. Real estate investors

Find and value distressed and below-market homes across a metro. Input: searchByLocation + SOLD for comps, then similar on a target. Output: Recently-sold prices, price/sqft and a comparable set. Use: Underwrite offers with three independent sources (Trulia + Redfin + Realtor).

2. Buyer's agents

Build neighborhood-rich listing packets for clients. Input: detailsByUrl then amenities. Output: Schools, demographics, nearby amenities and price history in one packet. Use: Win listings with data competitors don't surface.

3. Relocation services

Compare neighborhoods for relocating employees. Input: amenities + searchByZip across candidate ZIPs. Output: Amenity density, school ratings and price bands per area. Use: Match families to the right neighborhood, fast.

4. Market analysts

Track for-sale, for-rent and sold inventory by metro. Input: searchByLocation with each searchType. Output: Median price, price/sqft and city/type breakdowns from the built-in KPIs. Use: Feed dashboards and market reports.

5. Lead generation

Surface new and price-reduced listings for outreach. Input: searchByLocation sorted by newest, filtered by propertyType and minPrice. Output: Fresh listings with address, price and status. Use: Prioritize outreach to motivated sellers and renters.

🔗 Integration Examples

JavaScript/Node.js

import{ ApifyClient }from'apify-client';
const client =newApifyClient({token:'YOUR_TOKEN'});
const run =await client.actor('sian.agency/trulia-property-scraper').call({
operation:'searchByLocation',
location:'Austin, TX',
searchType:'FOR_SALE',
maxResults:50
});
const{ items }=await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]);

Python

from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')
run = client.actor('sian.agency/trulia-property-scraper').call(
 run_input={'operation':'detailsByUrl','url':'/home/7708-dalmation-ln-557-austin-tx-78724-463215544'}
)
for item in client.dataset(run['defaultDatasetId']).iterate_items():
print(item)

cURL

curl-X POST 'https://api.apify.com/v2/acts/sian.agency~trulia-property-scraper/runs?token=YOUR_TOKEN'\
-H'Content-Type: application/json'\
-d'{"operation": "searchByZip", "zipCode": "78724"}'

Automation Workflows (N8N / Zapier / Make)

1. Trigger: Schedule or webhook
2. HTTP Request: Call the actor API
3. Process: Handle the JSON results
4. Action: Save to a sheet, CRM or database

📊 Performance & Pricing

FREE Tier (Try It Now)

• Up to 60 rows per run — full feature access, same data quality
• No credit card required
• Perfect for testing a market or a single property

PAID Tier (Production Ready)

• Unlimited rows per run, deep pagination
• Pay-per-result: only charged for rows written to your dataset

💰 Transparent pay-per-result pricing — search listings, neighborhood amenities and enriched property dossiers are each billed per row, so you only pay for the data you keep.

🔗 View current pricing

❓ Frequently Asked Questions

Q: How many listings can I collect? A: FREE tier: up to 60 rows per run. PAID tier: unlimited with deep pagination.

Q: Can I get for-rent and sold listings, not just for-sale? A: Yes — set searchType to FOR_RENT or SOLD.

Q: What's in the enriched property detail? A: Neighborhood, schools (with ratings), demographics, price history, taxes, HOA, photos and the full description.

Q: What output formats are available? A: JSON, CSV and Excel — export directly from the Apify dataset.

Q: Does it work with any US address? A: detailsByAddress works for Trulia-indexed addresses; for the best hit rate use a full formatted address or use detailsByUrl / detailsById.

Q: Is this legal? A: Yes — it only extracts publicly available data. See the legal section below.

🐛 Troubleshooting

No detail returned for an address

• Use a full, Trulia-indexed address (street, city, state, ZIP) or switch to detailsByUrl / detailsById.

Empty search results

• Broaden the location, remove propertyType / minPrice filters, or try a different searchType.

Hitting the FREE-tier row cap

• FREE runs are capped at 60 rows. Upgrade your Apify plan for unlimited rows and deep pagination.

Coordinate search returns nothing

• Confirm latitude is between -90 and 90 and longitude between -180 and 180, and increase radius.

⚠️ Trademark Disclaimer

This is an independent tool and is not affiliated with, endorsed by, or sponsored by Trulia or Zillow Group, Inc. "Trulia" is a trademark of its respective owner. This actor accesses only publicly available information and is intended for legitimate data-analysis purposes. All product names, trademarks and registered trademarks are the property of their respective owners and are used for identification purposes only.

⚖️ Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

🤝 Support

👁 Telegram Support

Join our active support community

• For issues or questions, open an issue in the actor's Issues tab
• Check the SIÁN Agency Store for more automation tools
• 📧 apify@sian-agency.online

Built by SIÁN Agency | More Tools