RealtorPulse — Fresh Listing Lead Scraper

The only Realtor.com scraper that filters by listing age, not just location.

RealtorPulse scrapes Realtor.com for properties listed within a configurable time window (default: last 24 hours), then auto-enriches each lead with full property details — agent contacts, mortgage estimates, tax history, price history, open houses, photos, and 50+ fields — in a single run.

Built for real estate investors, wholesalers, agents, and lead generation teams who need first-mover access to fresh inventory.

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What makes this different

Every other Realtor.com scraper returns listings sorted by default relevance — you get stale inventory mixed with fresh. RealtorPulse applies a list_date filter directly in the GraphQL query before any results are returned, so every lead in your dataset was listed within your specified window.

Feature	Generic Realtor scrapers	RealtorPulse
Filter by listing age	❌	✅
Full detail enrichment	Partial	✅ 50+ fields
Agent name + phone + email	Sometimes	✅ Always
Mortgage estimate	❌	✅
Tax history	❌	✅
Price history	❌	✅
Open house schedule	❌	✅
Property flags (foreclosure, auction, price reduced)	❌	✅
Street view URL	❌	✅
Days on MLS	❌	✅
Ranked tags (luxury, cul-de-sac, open plan…)	❌	✅

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Input

{
  "zip_codes": ["77069", "77070", "77071"],
  "listing_types": ["forSale", "fsbo", "newConstruction"],
  "max_hours_old": 24,
  "max_per_zip": 50
}

Field	Type	Required	Description
zip_codes	string[]	✅	One or more US ZIP codes to monitor
listing_types	string[]	✅	forSale, fsbo, newConstruction, forRent
max_hours_old	integer	✅	Maximum listing age in hours (e.g. 24, 48, 72)
max_per_zip	integer	❌	Cap results per ZIP per listing type. Default: 200

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Output fields

Each result is a JSON object with the following fields:

Core listing

Field	Description
property_id	Realtor.com unique property ID
listing_id	MLS listing ID
listing_type	forSale, fsbo, newConstruction, forRent
realtor_url	Direct URL to listing page
list_date	ISO timestamp when listed
home_status	for_sale, under_contract, etc.
price	List price (USD)
price_per_sqft	Calculated price per sq ft
days_on_mls	Days since MLS listing date

Property details

Field	Description
street_address, city, state, zip_code	Full address
county, county_fips	County name and FIPS code
latitude, longitude	Coordinates
bedrooms, bathrooms, bathrooms_full, bathrooms_half	Room counts
baths_consolidated	Realtor.com display format e.g. "2.5"
sqft, lot_sqft	Interior and lot sizes
year_built, year_renovated	Construction dates
stories, garage, garage_type	Structure details
pool, fireplace, roofing, exterior	Property features
cooling, heating, construction, zoning	Systems and zoning
description	Full listing text
property_details	Category/text pairs (interior, exterior, HOA, schools, etc.)

Agent & brokerage

Field	Description
agent_name	Primary listing agent
agent_phone	Direct agent phone
agent_email	Agent email address
agent_photo	Agent headshot URL
agent_slogan	Agent tagline
brokerage	Brokerage name
office_name	Office name
office_phone	Office phone
office_email	Office email
state_license	Agent state license number
source_agent_name	MLS-feed agent name
source_agent_phone	MLS-feed agent phone
source_agent_email	MLS-feed agent email

Financial

Field	Description
hoa_fee	Monthly HOA fee
mortgage_monthly_payment	Realtor.com estimated payment
mortgage_rate	Estimated rate used
property_tax_rate	County tax rate
last_sold_date, last_sold_price	Prior sale data
last_price_change_amount	Most recent price adjustment
price_history	Array of {date, event, price}

Flags

Field	Description
is_new_listing	Listed within Realtor.com's "new" window
is_price_reduced	Price has been cut
is_foreclosure	Bank-owned / REO
is_auction	Auction listing
is_coming_soon	Pre-market listing
is_contingent	Under contract with contingencies
is_short_sale	Short sale listing
is_usda_eligible	USDA loan eligible

Media & extras

Field	Description
photos	Up to 15 photo URLs
photo_count	Total photos available
virtual_tour_url	3D tour link
floorplan_url	Floor plan link
street_view_url	Google Street View URL
open_houses	Array of {start, end, desc, time_zone}
ranked_tags	Realtor.com feature tags with rank order

Lead metadata

Field	Description
fresh_lead_meta.is_fresh	Whether listing passed the time filter
fresh_lead_meta.signal	Field used for freshness check (list_date)
fresh_lead_meta.window_hours	Time window configured for this run
detail_fetched	Whether full detail enrichment succeeded

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Sample output

{
  "property_id": "7832158252",
  "listing_type": "forSale",
  "realtor_url": "https://www.realtor.com/realestateandhomes-detail/6885-Tournament-Dr_Houston_TX_77069_M78321-58252",
  "street_address": "6885 Tournament Dr",
  "city": "Houston",
  "state": "TX",
  "zip_code": "77069",
  "price": 375000,
  "bedrooms": 3,
  "bathrooms_full": 2,
  "sqft": 2116,
  "year_built": 1994,
  "list_date": "2026-04-18T00:14:53.000000Z",
  "days_on_mls": 0,
  "agent_name": "Cindy Boutwell",
  "agent_phone": "2817973590",
  "agent_email": "cindy@theboutwellteam.com",
  "brokerage": "Boutwell Properties",
  "mortgage_monthly_payment": 2959,
  "mortgage_rate": 0.06198,
  "hoa_fee": 138,
  "is_new_listing": true,
  "open_houses": [
    { "start": "2026-04-18T14:00:00", "end": "2026-04-18T16:00:00", "time_zone": "CST" }
  ],
  "photo_count": 37,
  "detail_fetched": true
}

---

Use cases

Wholesalers — Monitor target ZIP codes hourly. Call sellers before competing investors see the listing.

Fix & flip investors — Filter is_price_reduced + is_foreclosure to surface distressed inventory the moment it lists.

Real estate agents — Identify new listings in your farm area within hours. Beat buyer's agents to the call.

Lead generation agencies — Build seller lead pipelines by ZIP code. Export agent contacts for outreach campaigns.

PropTech / CRM enrichment — Pipe fresh listings directly into your CRM via Apify API. Full agent contact info included on every record.

Market research — Track inventory velocity, price trends, and days-on-market by ZIP code over time.

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Scheduling

For continuous lead monitoring, use Apify's built-in scheduler:

• Hourly — Aggressive monitoring. Best for hot markets and wholesalers.
• Every 6 hours — Balanced. Catches same-day listings without excessive runs.
• Daily — Standard market research workflow.

Set max_hours_old to match your schedule interval (e.g. 6 for 6-hour runs) to avoid duplicates.

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Proxy

Realtor.com requires residential proxies. This actor uses Apify's RESIDENTIAL proxy group automatically. Datacenter IPs are blocked at the CDN level and will return 403s.

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Legal notice

This actor extracts publicly visible listing data from Realtor.com. Agent contact information (name, phone, email) is professional contact data intentionally published for business purposes. Users are responsible for compliance with Realtor.com's Terms of Service and applicable laws. Do not use this data to power a competing listing service or for bulk unsolicited contact campaigns.

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Support

Open an issue on this actor's GitHub repository or contact via the Apify console. Include your run ID and the ZIP codes that failed.