# FSBO Owner Scraper (Cheap) (`data_api/fsbo-owner-scraper-cheap`) Actor

FSBO Owner Finder extracts owner names and equity estimates from addresses, so you can skip the manual property research.

- **URL**: https://apify.com/data\_api/fsbo-owner-scraper-cheap.md
- **Developed by:** [Data API](https://apify.com/data_api) (community)
- **Categories:** Real estate, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.99 / 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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## FSBO Owner Scraper

![FSBO Owner Scraper](cover.jpg)

Finding out who actually owns a property usually means crawling through county recorder sites or paying per-record fees, and you still end up guessing half the time. This scraper skips all of that. Hand it a US street address and it returns the names on the title, an equity estimate, tax and parcel records, and the core property facts as clean, structured data. Drop in one address or a list of thousands. Each one comes back as its own row, ready to load into a CRM or spreadsheet.

### What you get

Every address you submit turns into one row with a steady shape, so your columns line up even when a field is unavailable. The data falls into a few groups:

- **Owner** — `primaryOwner`, `secondaryOwner`, plus the full `ownerInfo` record
- **Property** — `propertyInfo` with location, size, and other characteristics
- **Financials** — `equityInfo` for value and equity figures, `taxInfo` for assessment and tax data
- **Parcel** — `parcelInfo` with lot identifiers and parcel-level details
- **Run metadata** — `queryAddress`, `collectedAt`, and `errorMessage`

### Quick start

1. Click **Try for free** and open the input form.
2. Paste your US addresses into **Property addresses** — full or partial both work.
3. Choose a proxy type and set a **Results limit** if you want to cap the run.
4. Hit **Start**, then export to JSON, CSV, Excel, or XML once it finishes.

![How it works](how-it-works.jpg)

### Use cases

- **Real estate wholesaling** — turn a list of target addresses into owner names you can contact directly
- **Investor lead generation** — qualify deals faster by pulling equity estimates before you reach out
- **Skip tracing** — start from an address and recover the people on the title
- **Direct mail campaigns** — build owner-name mailing lists from a batch of properties
- **Market research** — gather ownership and tax data across a neighborhood or ZIP code
- **CRM enrichment** — append owner and parcel details to addresses you already track

### Input

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `addressList` | array of strings | Yes | US property addresses to look up. Full or partial addresses both work. Each entry is handled on its own. |
| `resultsLimit` | integer | No | Cap on how many addresses to process per run. Default `5000`. |
| `timeoutSeconds` | integer | No | Seconds to wait per request before timing out. Default `45`; raise it on slower proxy tiers. |
| `proxyConfiguration` | object | No | Proxies used for requests. Defaults to Datacenter; switch to Residential only if you hit blocks. |

#### Example input

```json
{
    "addressList": [
        "742 Evergreen Terrace, Springfield, IL 62704",
        "55 Maple Court, Austin TX",
        "210 Harbor View Rd, Seattle WA"
    ],
    "resultsLimit": 5000,
    "timeoutSeconds": 45,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
}
```

### Output

Each address produces one row. Owner names and the nested record objects are always present in the shape below — fields that aren't available come back as `null` so the dataset stays rectangular.

#### Example output

```json
{
    "queryAddress": "742 Evergreen Terrace, Springfield, IL 62704",
    "primaryOwner": "JANE A DOE",
    "secondaryOwner": "JOHN R DOE",
    "propertyInfo": {
        "address_details": {
            "city": "Springfield",
            "state": "IL",
            "zip": "62704"
        },
        "bedrooms": 3,
        "bathrooms": 2,
        "square_feet": 1840
    },
    "ownerInfo": {
        "owner_occupied": true,
        "mailing_address": "742 Evergreen Terrace, Springfield, IL 62704"
    },
    "equityInfo": {
        "estimated_value": 312000,
        "estimated_equity": 168000
    },
    "taxInfo": {
        "assessed_value": 254000,
        "tax_year": 2024
    },
    "parcelInfo": {
        "apn": "14-21-308-016-0000",
        "lot_size_acres": 0.21
    },
    "collectedAt": "2026-06-29T12:00:00.000000+00:00",
    "errorMessage": null
}
```

#### Output fields

| Field | Type | Description |
|-------|------|-------------|
| `queryAddress` | string | The address exactly as you submitted it |
| `primaryOwner` | string | Name of the first person or entity on the title |
| `secondaryOwner` | string | Name of a co-owner on the title, when there is one |
| `propertyInfo` | object | Core property facts such as location, size, and characteristics |
| `ownerInfo` | object | Ownership record details beyond the listed owner names |
| `equityInfo` | object | Estimated equity and related value figures for the property |
| `taxInfo` | object | Assessment and tax data tied to the parcel |
| `parcelInfo` | object | Parcel-level identifiers and lot information |
| `collectedAt` | string | ISO 8601 timestamp of when the row was captured |
| `errorMessage` | string | Reason a lookup failed; `null` on success |

### Tips for best results

- **Start small.** Run 10 addresses before a large batch so any formatting quirks show up early.
- **Add city and state.** A street paired with city/state or a ZIP code matches far more reliably than a street alone.
- **Cap test runs with `resultsLimit`.** Keep it low while you confirm the output fits your pipeline, then raise it for the full list.
- **Switch to Residential if you get blocked.** Datacenter clears most lookups; residential helps when requests start failing.
- **Read `errorMessage` first.** When a row has no owner, that field explains why — usually no match was found for the address as written.

### How can I use US property owner data?

**How can I use the FSBO Owner Scraper to find off-market deals?**
Feed it the addresses of properties you're watching and it returns the owner names plus an equity estimate for each one. High-equity, owner-occupied records often signal motivated sellers, so you can prioritize who to contact before a property ever hits the market.

**How can I look up a property owner from just an address?**
Paste a single address into `addressList` and run it. The scraper matches the address, then returns `primaryOwner` and `secondaryOwner` along with the full `ownerInfo`, `taxInfo`, and `parcelInfo` records — no county-by-county searching required.

**How can I build a skip-tracing or direct-mail list from a batch of addresses?**
Drop your whole address list into `addressList` and set `resultsLimit` to cover the batch. Each address comes back as one row with the title-holder names and parcel data, which you can export to CSV and load straight into a mail-merge or skip-tracing workflow.

### Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses or private contact information. 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](https://blog.apify.com/is-web-scraping-legal/).

### Support

Questions, feature requests, or a field you'd like added? Reach out at <data.apify@proton.me> and we'll get back to you.

# Actor input Schema

## `addressList` (type: `array`):

One or more US property addresses to look up. Full or partial addresses both work — for example a street with city and state, or a street with a ZIP code.

## `resultsLimit` (type: `integer`):

Cap on how many addresses to handle in a single run. Useful for trial runs or keeping spend in check.

## `timeoutSeconds` (type: `integer`):

How long to wait on each request before it times out. Raise this if you hit frequent timeouts on slower proxy tiers.

## `proxyConfiguration` (type: `object`):

Choose which proxies route the requests. Proxies cut down on IP blocks and rate limiting. Datacenter is quickest; Residential is the hardest to detect.

## Actor input object example

```json
{
  "addressList": [
    "742 Evergreen Terrace, Springfield, IL 62704",
    "55 Maple Court, Austin TX",
    "1600 Beach Blvd, Jacksonville, 32250",
    "8 Birchwood Lane, Denver CO 80203",
    "210 Harbor View Rd, Seattle WA"
  ],
  "resultsLimit": 5000,
  "timeoutSeconds": 45,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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 = {
    "addressList": [
        "742 Evergreen Terrace, Springfield, IL 62704",
        "55 Maple Court, Austin TX",
        "1600 Beach Blvd, Jacksonville, 32250",
        "8 Birchwood Lane, Denver CO 80203",
        "210 Harbor View Rd, Seattle WA"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("data_api/fsbo-owner-scraper-cheap").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 = {
    "addressList": [
        "742 Evergreen Terrace, Springfield, IL 62704",
        "55 Maple Court, Austin TX",
        "1600 Beach Blvd, Jacksonville, 32250",
        "8 Birchwood Lane, Denver CO 80203",
        "210 Harbor View Rd, Seattle WA",
    ],
    "proxyConfiguration": { "useApifyProxy": True },
}

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

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

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

```

## CLI example

```bash
echo '{
  "addressList": [
    "742 Evergreen Terrace, Springfield, IL 62704",
    "55 Maple Court, Austin TX",
    "1600 Beach Blvd, Jacksonville, 32250",
    "8 Birchwood Lane, Denver CO 80203",
    "210 Harbor View Rd, Seattle WA"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call data_api/fsbo-owner-scraper-cheap --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=data_api/fsbo-owner-scraper-cheap",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/92Ujgeh9555kgUYjD/builds/QZqACnpZ4gBz7jEkI/openapi.json