# Real Estate Market Pulse & Price Change Tracker (`mocha_tassel/real-estate-market-pulse`) Actor

Re-scans a property search each run, detects price drops and rises with photos, and tracks how the local median price / €/m² moves over time.

- **URL**: https://apify.com/mocha\_tassel/real-estate-market-pulse.md
- **Developed by:** [Niko T.](https://apify.com/mocha_tassel) (community)
- **Categories:** Real estate
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 price change or snapshots

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/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

## Real Estate Market Pulse & Price Change Tracker

![real-estate-market-pulse](https://api.apify.com/v2/key-value-stores/yfnvtbimUC1yUnStx/records/real-estate-market-pulse.png?signature=1RvEeVYMGpVeW8QPJrHk5)

Re-scans the same property search on every run and tells you **what moved**:

- price drops and rises on individual listings
- how the local **median price** and **price per m²** changed since last time

Built for investors and agencies who already scrape markets daily and need the delta, not another full dump.

### Supported portals

Immowelt, willhaben, Kleinanzeigen, Rightmove, Idealista — same adapters as the listing monitors. Prefer a Search URL for Rightmove / Idealista.

### Typical schedule

1. First run stores the baseline (no change rows yet, optional market summary).
2. Daily runs emit only listings whose price moved by at least your threshold.
3. Optional webhook receives the change batch plus the market summary.

### Output

Dataset rows are either:

- `recordType: "listing_change"` — a concrete price move (or new/removed if enabled)
- `recordType: "market_summary"` — median price / €/m² vs the previous run

### Proxies

Residential proxies from the portal’s country are required on the platform.

***

### Deutsch

Vergleicht jeden Lauf mit dem vorherigen: Preisänderungen je Inserat und Drift des lokalen Medianpreises bzw. €/m². Ideal für tägliche Zeitpläne und Nachlass-Alarme.

# Actor input Schema

## `portal` (type: `string`):

Which portal to sample for price and market movement.

## `searchUrl` (type: `string`):

Paste a portal search URL. Required for Idealista; recommended for Rightmove.

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

City or region when no Search URL is set.

## `offerType` (type: `string`):

Whether to sample properties for sale or for rent.

## `estateType` (type: `string`):

Applies to Immowelt only.

## `category` (type: `string`):

Portal-specific category slug, for example eigentumswohnung or mietwohnung.

## `locationSlug` (type: `string`):

Kleinanzeigen URL slug for the area, copied from the portal search URL.

## `locationCode` (type: `string`):

Kleinanzeigen numeric location code, copied from the portal search URL.

## `maxItems` (type: `integer`):

How many items to process in one run. Higher is more thorough but slower and more expensive.

## `minChangePct` (type: `number`):

Only emit a listing when its price moved by at least this percentage.

## `includeNew` (type: `boolean`):

Also emit listings that were not in the previous snapshot.

## `includeRemoved` (type: `boolean`):

Also emit listings that disappeared since the previous snapshot.

## `emitMarketSummary` (type: `boolean`):

Adds one dataset row with median price / €/m² and the change versus the previous run.

## `webhookUrl` (type: `string`):

Optional HTTPS endpoint. Matching results are sent as a JSON POST.

## `stateKey` (type: `string`):

Separate histories when watching several searches in parallel.

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

Residential proxies are required for most portals. Data-centre IPs are typically blocked.

## Actor input object example

```json
{
  "portal": "immowelt",
  "location": "berlin",
  "offerType": "buy",
  "estateType": "apartment",
  "category": "eigentumswohnung",
  "maxItems": 200,
  "minChangePct": 1,
  "includeNew": false,
  "includeRemoved": false,
  "emitMarketSummary": true,
  "stateKey": "default",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `changes` (type: `string`):

Listing price changes and optional market summary rows.

## `summary` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("mocha_tassel/real-estate-market-pulse").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("mocha_tassel/real-estate-market-pulse").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 '{}' |
apify call mocha_tassel/real-estate-market-pulse --silent --output-dataset

```

## MCP server setup

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

```

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/nEVB1jAxZgWCtaAeZ/builds/Fbxr9NDzwqMms5bMy/openapi.json