# Deal Drop Monitor (`p.khoa90/deal-drop-monitor`) Actor

Watchlist monitor for price floors: give it product queries and it emits only NEW all-time-low events — deals that just hit their lowest recorded price ever, or dropped below the lowest previously seen. State persists between runs; pair with a Schedule for automated deal alerts.

- **URL**: https://apify.com/p.khoa90/deal-drop-monitor.md
- **Developed by:** [Khoa Phan](https://apify.com/p.khoa90) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 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.

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

## Deal Drop Monitor

**Watchlist monitor for price floors — emits only NEW all-time-low events.**

Give it product queries; every run it verifies candidates against full recorded price
history and reports **only what changed**: deals that just hit their lowest recorded
price for the first time (`new_floor`), or dropped below the lowest price previously
seen by this monitor (`improved`). State persists between runs in the run's key-value
store — **pair with an Apify Schedule for automated deal alerts.**

### Input

```json
{
  "queries": ["apple watch", "ipad", "jbl charge"],
  "max_price_usd": 500,
  "pct_floor": 5,
  "per_query": 10
}
```

### Output (dataset item — one per event)

```json
{
  "query": "apple watch",
  "event": "new_floor",
  "title": "Apple Watch Series 11 46mm",
  "price_usd": 399.0,
  "lowest_recorded_usd": 399.0,
  "previous_lowest_usd": null,
  "url": "https://fazy.com/go/...",
  "verification": "current $399.00 vs lowest recorded $399.00 (tolerance +5%)"
}
```

### Notes

- Verification chain identical to Verified Deals Report (fazy price history)
- First run emits current floor-sitters as `new_floor` baselines; later runs emit only changes
- Stdlib-only container; state key: `deal-state.json` in the default key-value store

**Runtime (measured 05/10):** quét nhiều sàn theo lịch state — mặc định ~90s, 1 query có filter ~17s. Đặt timeout client ≥ 120s.

### 🔗 Liên kết liên quan

- [store-listing.md](store-listing.md) — Store listing Apify của actor này
- [PUBLISH-MASTER.md](../PUBLISH-MASTER.md) — Một món trong gói publish 24 actor
- [BANG-GIA-PUBLISH-v3-FINAL.md](../../marketing/BANG-GIA-PUBLISH-v3-FINAL.md) — Giá PPE per-run theo bảng v3
- [MUC-TIEU-100-SAN-PHAM.md](../MUC-TIEU-100-SAN-PHAM.md) — Mục tiêu 100 sản phẩm — inventory
- Áp dụng ngay: [\_run_actor_trials.py](../../../_run_actor_trials.py) — Chạy thử actor với INPUT mặc định trước khi publish.

# Actor input Schema

## `queries` (type: `array`):

Products to monitor, e.g. \['apple watch', 'ipad', 'jbl charge']

## `max_price_usd` (type: `number`):

Exclude deals above this current price

## `pct_floor` (type: `number`):

A deal counts as at-floor when current <= lowest_recorded \* (1 + pct/100)

## `per_query` (type: `integer`):

How many search results to scan per query

## Actor input object example

```json
{
  "queries": [
    "keyboard"
  ],
  "max_price_usd": 500,
  "pct_floor": 5,
  "per_query": 10
}
```

# Actor output Schema

## `events` (type: `string`):

Open to see new all-time-low events with proof and links.

# 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("p.khoa90/deal-drop-monitor").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("p.khoa90/deal-drop-monitor").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 p.khoa90/deal-drop-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,p.khoa90/deal-drop-monitor"
        }
    }
}
```

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/Yh6w49eVsO4tljAqL/builds/nFMAdYy6S7BdESfhN/openapi.json