FSBO.com Scraper — For Sale By Owner Listings
Pricing
from $1.50 / 1,000 listings
FSBO.com Scraper — For Sale By Owner Listings
Scrape owner-listed US homes from FSBO.com: address, price, beds/baths, sqft, GPS, photos & status. Filter by state, city and property type.
Pricing
from $1.50 / 1,000 listings
Rating
0.0
(0)
Developer
Muhamed Didovic
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
a day ago
Last modified
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Pull for-sale-by-owner homes straight from FSBO.com, the US owner-listing marketplace. Search by state, city, or property type and get one clean row per listing — address, asking price, beds, baths, square footage, GPS coordinates, photos, and status. No agents, no brokers: every listing is posted by the owner.

Why use this scraper
- Owner listings only. FSBO.com is a pure for-sale-by-owner marketplace, so every row is a property listed directly by its owner — exactly the inventory agents' feeds leave out.
- Whole-country coverage. Scrape a single city, a list of states, or the entire FSBO.com inventory in one run.
- Rich, structured rows. Address, price, beds/baths, square footage, year built, lot GPS, photos and status arrive parsed and typed — no HTML cleanup.
- Daily fresh-listing feed. Monitoring mode returns only listings you haven't seen before, so a scheduled run gives you just the new owner listings each day.
- Fast and quiet. Built on FSBO.com's own listing API, so runs are quick and light — no browser, no proxy needed.
What it does
The scraper reads FSBO.com's public listing feed and returns one structured record per owner-listed property. You point it at locations and optional filters (property type, beds, baths, price); it paginates the full result set — past any on-site page limit — and delivers clean JSON or CSV.
Supported inputs
- US states — one or more two-letter codes (
FL,TX,CA), or leave empty for every state. - City — narrow to a single city within a state.
- FSBO.com search URLs — paste a state index (
https://fsbo.com/search/list/state/fl) or a/search?state=FL&city=MiamiURL directly. - Filters — property type, min/max bedrooms, min/max bathrooms, min/max asking price.
Use cases
- Real-estate investors & wholesalers sourcing motivated, agent-free sellers to approach directly.
- iBuyers and cash-buyer operations building a pipeline of owner listings by market.
- Buyer's agents finding FSBO inventory to represent buyers on.
- Market analysts tracking owner-listing supply, pricing and days-on-market by state or city.
- Lead tools & CRMs enriching a territory with fresh for-sale-by-owner records on a schedule.
How it works
- You provide states, a city, or FSBO.com search URLs, plus any filters.
- The actor resolves each search and queries FSBO.com's listing feed, paginating through every page of results.
- Each listing is mapped to a clean row (prices converted from cents to dollars, photo URLs made absolute, coordinates included).
- With monitoring mode on, listings delivered on earlier runs are skipped so you only get new ones.
- Results stream to the dataset, exportable as JSON, CSV, Excel or via API.
Input configuration
| Field | Type | Description |
|---|---|---|
states | array | Two-letter US state codes. Empty = every state. |
city | string | City name, used with a single state. |
startUrls | array | FSBO.com search URLs (override states/city). |
propertyTypes | array | SINGLE_FAMILY, CONDO, TOWNHOUSE, MULTI_FAMILY, MOBILE_HOME, LAND, OTHER. |
minBeds / maxBeds | integer | Bedroom bounds. |
minBaths / maxBaths | integer | Bathroom bounds. |
minPrice / maxPrice | integer | Asking-price bounds in whole US dollars. |
monitoringMode | boolean | Return only listings not seen on previous runs. |
maxItems | integer | Hard cap on delivered listings. |
pageConcurrency | integer | Result pages fetched in parallel per search. |
Example input
{"states": ["FL", "TX"],"propertyTypes": ["SINGLE_FAMILY", "CONDO"],"minBeds": 3,"maxPrice": 500000,"maxItems": 2000}
Output overview
One row per owner listing. Prices are in US dollars (raw cents preserved in askingPriceCents), photo URLs are absolute, and every row is flagged forSaleByOwner: true with mlsListed: false.
Output sample
{"listingId": "cmpaqky7502x1s601gmhtu0g7","listingUrl": "https://fsbo.com/search/list/1049-forest-grove-dr-dallas-tx-75218-1785767490282","headline": "Fully Renovated East Dallas Home on Rare 1/3-Acre Corner Lot","street": "1049 Forest Grove Dr","city": "Dallas","state": "TX","zip": "75218","propertyType": "SINGLE_FAMILY","beds": 3,"baths": 3,"sqft": 2600,"yearBuilt": 1969,"askingPrice": 749000,"askingPriceCents": 74900000,"latitude": 32.8461092,"longitude": -96.6950535,"status": "ACTIVE","mlsListed": false,"forSaleByOwner": true,"primaryPhotoUrl": "https://fsbo.com/api/fsbo/photos?key=listings%2Fcmpaqky7502x1s601gmhtu0g7%2Fscraped%2Fmpaqls7rdihqf2sf.jpg","photoCount": 6,"listingSource": "FSBO.com","scrapedAt": "2026-09-11T10:14:49.112Z"}
Key output fields
| Field | Description |
|---|---|
listingId | FSBO.com internal listing ID. |
listingUrl | Browsable FSBO.com URL for the listing. |
street, city, state, zip | Full property address. |
propertyType | Single family, condo, townhouse, multi-family, mobile home, land or other. |
beds, baths, sqft, yearBuilt | Core property facts. |
askingPrice / askingPriceCents | Asking price in dollars / raw cents. |
latitude, longitude | Property coordinates. |
status | ACTIVE or PENDING. |
primaryPhotoUrl, photoUrls, photoCount | Listing photos (absolute URLs). |
forSaleByOwner | Always true. |
mlsListed | Whether the listing is also on the MLS (owner listings: false). |
daysOnMarket | Whole days since the listing was published. |
ownerPhone, ownerPhones, ownerEmails | Contact pulled from the description when present (FSBO.com usually routes contact through the platform, so this is often empty). |
motivationScore, motivationReasons | Seller-motivation score 0–100 and the signals behind it. |
FAQ
Does this include the owner's phone number or email? No. On FSBO.com, buyers contact sellers through the platform, so direct owner phone/email is not published on the listing and is not scraped. You get the full property record and the listing URL to reach the seller through the site.
Are these really for-sale-by-owner, not agent listings?
Yes. FSBO.com is an owner-listing marketplace; every row is flagged forSaleByOwner: true and mlsListed: false.
Can I get only new listings each day? Yes — turn on monitoring mode and schedule the actor. It remembers listing IDs delivered on prior runs and returns only ones it hasn't seen.
How many listings are there? The FSBO.com inventory runs into the tens of thousands nationwide, spread across all 50 states. The actor paginates the entire result set for your search.
Which filters actually work? State, city, property type, bedroom range, bathroom range and price range are applied at the source. Every returned row still carries the full data, so you can filter further downstream.
Support
Found a bug or need an extra field? Open an issue on the actor's Issues tab in Apify Console and it will be addressed.
Additional services
Need the owner's contact details appended, or the same data from other owner-listing sources (Zillow FSBO, Craigslist by-owner, Facebook Marketplace)? Those are available as separate actors — ask via the contact on the profile.
Explore more scrapers
This actor is part of a large real-estate scraping suite covering Zillow, Redfin, Realtor.com, Trulia, LoopNet, Crexi, Land.com and more. Browse the full profile for the rest.
🤖 For AI agents & LLM apps
This actor is MCP- and agent-friendly. Inputs and outputs are plain JSON with stable, documented field names, so an LLM agent can call it to answer questions like "list for-sale-by-owner single-family homes under $400k in Texas" and get structured rows back — address, price, beds/baths, coordinates and listing URL — with no HTML parsing.
⚠️ Disclaimer
This scraper collects only publicly available listing information from FSBO.com. It does not access private, gated, or personal data, and it does not extract owner phone numbers or emails. Use the data in line with FSBO.com's terms of service and all applicable laws, including real-estate marketing, data-protection and anti-solicitation regulations in your jurisdiction. You are responsible for how you use the output.
SEO keywords
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