Realtor.com Search Cheap (Pay-Per-Result)
Pricing
from $1.00 / 1,000 results
Property scraper that extracts Realtor.com listings, prices, and agent details so investors and agents can analyze market data and find deals affordably.
Pricing
from $1.00 / 1,000 results
Rating
0.0
(0)
Developer
Kawsar
Actor stats
1
Bookmarked
1
Total users
1
Monthly active users
2 days ago
Last modified
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Filter properties by their current listing status. Most common options: for_sale (currently active on the market), sold (past transactions for pulling comps), for_rent (active rental properties), ready_to_build (new construction plans), off_market (not currently listed), other, new_community. Example: ['for_sale', 'ready_to_build'] to capture both active listings and upcoming projects.
[ "for_sale", "ready_to_build"]Filter properties exactly by a 5-digit US ZIP or postal code. This is the most reliable way to target a specific neighborhood. Example: '90210' for Beverly Hills, CA.
Filter properties broadly by a 2-letter US state code. Best used in combination with other filters to prevent pulling too many random properties across the state. Example: 'CA' for California, 'NY' for New York.
Filter properties by the exact city name. Usually best to combine with state_code incase of duplicate city names across states (like Springfield). Example: 'Los Angeles' or 'Austin'.
Target properties located on a specific street name. Excellent for local market analysis. Example: 'Sunset Blvd' or 'Main St'.
Filter for a very specific property address line to find its history or current listing details. Example: '123 Fake Street'.
Filter the results by specific property types. Supported options include: apartment, condo_townhome, condo_townhome_rowhome_coop, condo, condos, single_family, multi_family, mobile, land, farm, other. Example: ['single_family', 'condo'] to find only traditional residential homes.
[ "condo_townhome", "single_family"]Filter properties by specific amenities or descriptive features. Options include: basement, carport, central_air, den, hardwood_floors, pool, waterfront, ocean_view, fireplace. Example: ['pool', 'central_air'] to find fully-equipped summer homes.
[ "basement", "pool"]Minimum threshold for the number of bedrooms. Example: 3 to only return properties with 3 or more bedrooms.
Maximum threshold for the number of bedrooms. Example: 5 to exclude mega-mansions.
Minimum threshold for the number of bathrooms (including half-baths). Example: 2 for properties with at least two bathrooms.
Minimum active asking list price in USD. Example: 200000 to drop properties listed below $200k.
Maximum active asking list price in USD. Example: 900000 to cap the search at $900k.
Minimum sold price in USD. Important: This filter only takes effect when status includes 'sold'. Example: 450000.
Maximum sold price in USD. Important: This filter only takes effect when status includes 'sold'. Example: 850000.
Earliest date the property was sold in YYYY-MM-DD format. Crucial for pulling recent comps. Example: '2023-01-01' to only find sales from 2023 onwards.
Latest date the property was sold in YYYY-MM-DD format. Example: '2023-12-31'.
Minimum interior (living space) square footage. Example: 1500.
Maximum interior (living space) square footage. Example: 4000.
Minimum exterior lot size in square feet. Example: 5000.
Maximum exterior lot size in square feet. Example: 15000.
Filter by the year the construction was completed. Set a minimum year to exclude older homes. Example: 2017 for relatively new buildings.
Set a maximum year of completion to target historic or older builds. Example: 1980.
Maximum Homeowners Association monthly fee allowed. Example: 300 to find properties with low or no HOA costs. Note: Has no effect if 'No HOA fee' is checked.
Check this box to exclusively show properties that have absolutely no Homeowners Association fee attached.
Filter for properties with scheduled open houses from this date onward (Format: YYYY-MM-DD). Example: '2024-05-01'.
Filter for properties with scheduled open houses up until this date (Format: YYYY-MM-DD). Example: '2024-05-15'.
If checked, strictly filter for properties marked as 'Pending' (under contract).
If checked, strictly filter for properties marked as 'Contingent' (under contract but with conditions).
If checked, strictly isolate properties that are actively in foreclosure. Outstanding for finding distressed deals.
If checked, strictly isolate properties labeled as newly constructed. Good for tracking builder developments.
If checked, only fetch listings that include at least one type of virtual tour media.
If checked, only fetch listings explicitly flagged with a Matterport 3D interactive layout.
If checked, strictly filter rental properties to those explicitly allowing cats.
If checked, strictly filter rental properties to those explicitly allowing dogs.
Determine the primary field by which Realtor.com sorts the API response.
Determine the sorting sequence: descending (newest/highest first) or ascending (oldest/lowest first).
Filter all listings tied exclusively to a specific Agent source ID.
Filter by the first and last name of the selling agent. Example: 'John Doe'.
Search for a specific listing using its MLS or source system ID. Example: '12345678'.
Search directly by the Realtor.com internal property identifier. Example: 'M12345-67890'.
Filter listings associated with a specific agent fulfillment ID.
The number of listings fetched in a single API call. Realtor.com supports up to 200 per page. Default is 200 for maximum throughput.
The exact positional index the scraper starts at. Useful if a previous run stopped early or if you want to skip the first X records. Set to 0 to start at the beginning.
The hard cap on total listings the scraper will collect across all paginated API calls. The scraper will stop the moment this number is reached. Maximum allowed is 5000. Use this to control costs. Example: 500 stops at exactly 500 properties.
If the scraper surpasses this runtime duration, it will safely halt and exit. Adjust higher for very large list queries. Example: 300 = 5 minutes.
How long the scraper waits for Realtor.com's GraphQL server to respond per API query slice. Example: 30 = 30 seconds wait time.