# 🏡 FSBO Real Estate Scraper - For Sale By Owner Leads (`benthepythondev/fsbo-real-estate-scraper`) Actor

Scrape For Sale By Owner listings from FSBO.com. Extract property details, prices, photos, seller contact info, and location data. Supports state/city + filtering, price ranges, and property types. Includes AI lead scoring. Perfect for real estate investors and agents seeking off-market deals.

- **URL**: https://apify.com/benthepythondev/fsbo-real-estate-scraper.md
- **Developed by:** [Ben](https://apify.com/benthepythondev) (community)
- **Categories:** Real estate, Lead generation, Automation
- **Stats:** 93 total users, 4 monthly users, 100.0% runs succeeded, 3 bookmarks
- **User rating**: No ratings yet

## Pricing

from $12.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 🏡 FSBO Real Estate Scraper — For Sale By Owner Leads with Lead Scoring

Extract **For Sale By Owner listings from FSBO.com** — the largest by-owner property marketplace in the US — as clean, structured data with an **AI lead score** on every listing. Because every FSBO.com listing is by-owner, this is pure off-market inventory: motivated sellers with no agent and no MLS gatekeepers between you and the deal. Export to JSON/CSV/Excel, run on a schedule, call via API, or connect to Make, Zapier or n8n.

### 🏠 What is the FSBO Real Estate Scraper?

It turns any FSBO.com search into a structured dataset. Give it a location (city, state or ZIP) with optional price, bedroom, bathroom and radius filters, and it returns every matching listing with full property details, photos, amenities, contact availability and a 0–100 lead score that ranks the hottest opportunities first — so investors, wholesalers and agents can work the best by-owner leads without manual browsing. You can also pass exact FSBO.com listing URLs in `direct_urls` mode.

#### What data does it extract?

For every listing:

- **Price, bedrooms, bathrooms, square footage** and `garage` spaces
- **Title & full description** (body text)
- **Address, county, subdivision** and `lot_size`
- **Property type & subtype** and `year_built`
- **Listing ID** and the listing `url`
- **Photos** (`photos` array) and **amenities** (`amenities` list)
- **`is_fsbo`** — always true (every FSBO.com listing is by-owner)
- **`has_contact_owner`** — whether a Contact Owner option is present
- **AI lead score (0–100)** ranking lead quality, plus a `scraped_at` timestamp

### ⬇️ Input

Run it two ways — search a location with filters, or pass exact listing URLs:

| Field | Description |
|-------|-------------|
| `mode` | `search` (by location + filters) or `direct_urls` |
| `searchLocation` | City, State, ZIP or Listing ID, e.g. `Los Angeles, CA` or `90210` |
| `minPrice` / `maxPrice` | Price range filters |
| `minBedrooms` / `minBathrooms` | Minimum bedrooms / bathrooms |
| `searchDistance` | Radius in miles from the location (25–400) |
| `listingUrls` | Exact FSBO.com listing URLs — for `direct_urls` mode |
| `maxListings` | Cap the run (1–1000) |
| `includePhotos` / `includeAmenities` / `includeLeadScore` | Toggle extras |

#### Example input

```json
{
  "mode": "search",
  "searchLocation": "Los Angeles, CA",
  "minPrice": 200000,
  "maxPrice": 900000,
  "minBedrooms": 2,
  "searchDistance": 50,
  "maxListings": 100,
  "includePhotos": true,
  "includeLeadScore": true
}
```

### ⬆️ Output

Every listing is one clean row (view as a **table**, or export **JSON / CSV / Excel**):

```json
{
  "url": "https://fsbo.com/listings/listings/show/id/544162/",
  "source": "fsbo.com",
  "is_fsbo": true,
  "listing_id": "544162",
  "title": "Beautiful 5BR Home with Pool",
  "price": 450000,
  "address": "Los Angeles, CA",
  "county": "Los Angeles County",
  "bedrooms": 5,
  "bathrooms": 3.5,
  "garage": 2,
  "property_type": "Residential",
  "subtype": "Single Family",
  "lot_size": "0.25 acres",
  "sqft": 2800,
  "year_built": 2005,
  "subdivision": "Sunset Hills",
  "description": "Stunning move-in-ready home with an updated kitchen...",
  "amenities": ["Central Air", "Pool", "Hardwood Floors"],
  "photos": ["https://fsbo.com/..."],
  "has_contact_owner": true,
  "lead_score": 85,
  "scraped_at": "2026-06-27T15:30:00.000Z"
}
```

### 💡 Use cases

- **🎯 Agents — FSBO lead generation:** every listing is by-owner — a warm listing-appointment lead — so prospect sellers before competitors do.
- **💰 Investors — off-market deals:** find motivated, un-bid-up sellers and value-add properties for flips and buy-and-hold.
- **🤝 Wholesalers — motivated sellers:** source by-owner leads with contact availability and reach them directly.
- **📊 Market research:** track FSBO pricing, property types and supply trends across locations over time.

### 🧮 How the lead score works

A transparent 0–100 score. Because every FSBO.com listing is by-owner, each starts with a **+30 FSBO bonus**, then adds **listing quality** (photos, amenities, contact availability), **property value** (price and size) and **completeness** (key fields filled in). Higher scores flag the strongest, most actionable leads — sort by `lead_score` to work the best opportunities first.

### ❓ FAQ

**How do I find For Sale By Owner (FSBO) leads?** Give the actor a `searchLocation` (city, state or ZIP) with optional price, bedroom, bathroom and radius filters, then Run. It returns FSBO.com listings with price, beds, baths, sqft, address, photos, amenities and an AI lead score.

**Are all the listings really by-owner?** Yes — FSBO.com is a by-owner marketplace, so every listing is For Sale By Owner. Each row is flagged `is_fsbo: true`.

**Does it include seller contact info?** It flags `has_contact_owner` when a listing exposes a Contact Owner option, so you can see which sellers are reachable directly. It does not invent contact fields that aren't on the page.

**Can I filter by location, price, beds and baths?** Yes — use `searchLocation`, `minPrice`, `maxPrice`, `minBedrooms`, `minBathrooms` and `searchDistance` (radius in miles).

**Can I scrape specific listings I already have?** Yes — set `mode: direct_urls` and pass FSBO.com listing URLs in `listingUrls`.

**Do I need an API key or login?** No. It reads public FSBO.com listing data — just give it a location and filters.

**How many listings can it return?** Up to your `maxListings` cap (max 1000); it paginates the search results automatically.

**How fresh is the data?** Pulled live on every run, straight from FSBO.com.

**Can I run it on a schedule or via API?** Yes — schedule recurring runs in Apify, call it via the API/SDK, or connect it to Make, Zapier or n8n.

**Is scraping FSBO.com legal?** It extracts publicly available listing data. Use it responsibly for market research and lead generation, and follow applicable laws and FSBO.com's terms.

### 🔗 You might also like

- **[Craigslist Real Estate Scraper](https://apify.com/benthepythondev/craigslist-real-estate-scraper)** — Craigslist FSBO & rentals
- **[Zillow Real Estate Scraper](https://apify.com/benthepythondev/zillow-real-estate-scraper)** — Zillow homes for sale & rent
- **[Redfin Scraper](https://apify.com/benthepythondev/redfin-scraper)** — homes for sale, rent & sold
- **[Zumper Rental Scraper](https://apify.com/benthepythondev/zumper-rental-scraper)** — Zumper rentals

***

**Keywords:** FSBO scraper, FSBO.com scraper, for sale by owner leads, real estate lead generation, off-market properties, motivated seller leads, real estate investor leads, wholesaling leads, real estate prospecting, property data, real estate agent leads, by-owner listings, property scraper, off-market deals.

# Actor input Schema

## `mode` (type: `string`):

Choose whether to search listings or scrape specific URLs

## `searchLocation` (type: `string`):

City, State, Zip code, or Listing ID to search (e.g., 'Los Angeles, CA' or '90210')

## `minPrice` (type: `integer`):

Minimum listing price filter

## `maxPrice` (type: `integer`):

Maximum listing price filter

## `minBedrooms` (type: `integer`):

Minimum number of bedrooms

## `minBathrooms` (type: `number`):

Minimum number of bathrooms

## `searchDistance` (type: `integer`):

Search radius in miles from location (25, 50, 75, 100, 125, 150, 175, 200, 400)

## `listingUrls` (type: `array`):

Direct FSBO.com listing URLs to scrape (for direct_urls mode)

## `maxListings` (type: `integer`):

Maximum number of listings to scrape

## `includePhotos` (type: `boolean`):

Extract photo URLs from listings

## `includeAmenities` (type: `boolean`):

Extract full amenities list from listings

## `includeLeadScore` (type: `boolean`):

Calculate AI-powered lead quality score (0-100)

## `debugMode` (type: `boolean`):

Run browser in visible mode for debugging

## Actor input object example

```json
{
  "mode": "search",
  "searchLocation": "Los Angeles, CA",
  "searchDistance": 100,
  "maxListings": 100,
  "includePhotos": true,
  "includeAmenities": true,
  "includeLeadScore": true,
  "debugMode": false
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchLocation": "Los Angeles, CA"
};

// Run the Actor and wait for it to finish
const run = await client.actor("benthepythondev/fsbo-real-estate-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "searchLocation": "Los Angeles, CA" }

# Run the Actor and wait for it to finish
run = client.actor("benthepythondev/fsbo-real-estate-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchLocation": "Los Angeles, CA"
}' |
apify call benthepythondev/fsbo-real-estate-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,benthepythondev/fsbo-real-estate-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/UdJhYSe3de6iKyL7P/builds/ZsKNsWBFqvCSm48za/openapi.json