# Real Estate Price Drop & Motivated Seller Radar (Save 90%) (`titan_coder/real-estate-price-drop-delta`) Actor

Zero-browser, API-first property investment radar. Tracks residential listings in target metro areas and alerts investors and flippers ONLY when properties drop in price by >= X%. Zero duplicate listings, zero wasted run fees. Saves 90% compute.

- **URL**: https://apify.com/titan_coder/real-estate-price-drop-delta.md
- **Developed by:** [Radu Furtuna](https://apify.com/titan_coder) (community)
- **Categories:** MCP servers, Real estate, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $15.00 / 1,000 price drop / motivated seller delivereds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## Real Estate Price Drop & Motivated Seller Delta Monitor (Save 90%)

> 🛑 **Stop paying for 5,000 unchanged property listings every single day.** Scraping MLS portals with headless browsers burns through proxies and floods your inbox with duplicate rows.\
> ⚡ **The Smart Delta Solution:** **Real Estate Price Drop & Motivated Seller Delta Monitor** uses direct zero-browser API queries (running in 2–4s), stores property price histories in persistent memory, and alerts investors and flippers **ONLY** when a home's asking price drops by your chosen threshold (e.g. >= 3%) — **saving 90% on compute and filtering.**

***

### ⚡ Why Use This Actor?

- **Zero-Browser, 100% Lightweight:** Bypasses sluggish browser automation. Runs within **2 to 4 seconds**.
- **Smart Delta Memory:** Maintains a historical price record for every property in persistent Key-Value storage. Never duplicates alerts.
- **Pay-Per-Event (PPE):** Cycles with no price reductions cost $0 in event fees.
- **Real Estate Investor & Wholesaler Edge:** Instant alerts for deal hunters, realtors, flippers, and buyers looking for negotiation leverage.

***

### 🔍 Tracked Fields

- `eventType`: `PRICE_DROP_DETECTED` or `NEW_LISTING`
- `location`: Monitored market / city
- `propertyId`: Unique MLS/platform ID
- `address`: Full street address
- `oldPrice`: Previous asking price
- `newPrice`: Slashed asking price
- `priceDropAmount`: Total dollar reduction
- `priceDropPct`: Percentage price reduction
- `beds`: Number of bedrooms
- `baths`: Number of bathrooms
- `propertyUrl`: Direct listing link
- `detectedAt`: Detection timestamp

***

### ⚙️ Input Parameters

| Parameter | Type | Default | Description |
|---|---|:---:|---|
| `location` | String | `Austin, TX` | Metro area or city. |
| `minDropPercent` | Number | `3.0` | Minimum percentage price reduction required to alert. |
| `maxProperties` | Integer | `10` | Max properties to evaluate per check. |
| `trackNewListings` | Boolean | `true` | Also alert on brand-new listings. |
| `resetBaseline` | Boolean | `false` | Reset memory and capture a fresh snapshot. |

***

### 🏷️ Keywords & Search Tags

`#real-estate #price-drop-tracker #mls-scraper #property-investment #house-flipping #motivated-sellers #real-estate-investor #deal-finder #ai-agent`

# Actor input Schema

## `location` (type: `string`):

Target metro or city area (e.g. 'Austin, TX', 'Miami, FL', 'Seattle, WA').

## `minDropPercent` (type: `number`):

Only alert if the price dropped by at least this percentage.

## `maxProperties` (type: `integer`):

Max listings to evaluate per check.

## `trackNewListings` (type: `boolean`):

Also emit events for brand-new listings entering the market.

## `resetBaseline` (type: `boolean`):

Clear memory and record a fresh snapshot.

## Actor input object example

```json
{
  "location": "Austin, TX",
  "minDropPercent": 3,
  "maxProperties": 10,
  "trackNewListings": true,
  "resetBaseline": false
}
```

# Actor output Schema

## `deltas` (type: `string`):

Clean delta dataset containing only changed or newly detected records.

# 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 = {
    "location": "Austin, TX",
    "minDropPercent": 3,
    "maxProperties": 10,
    "trackNewListings": true,
    "resetBaseline": false
};

// Run the Actor and wait for it to finish
const run = await client.actor("titan_coder/real-estate-price-drop-delta").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 = {
    "location": "Austin, TX",
    "minDropPercent": 3,
    "maxProperties": 10,
    "trackNewListings": True,
    "resetBaseline": False,
}

# Run the Actor and wait for it to finish
run = client.actor("titan_coder/real-estate-price-drop-delta").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 '{
  "location": "Austin, TX",
  "minDropPercent": 3,
  "maxProperties": 10,
  "trackNewListings": true,
  "resetBaseline": false
}' |
apify call titan_coder/real-estate-price-drop-delta --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,titan_coder/real-estate-price-drop-delta"
        }
    }
}
```

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/5FyqRkAzfKmgJ4fux/builds/rhCGgYgcjv5TH2fqy/openapi.json