# Verified Deals Report (`p.khoa90/verified-deals-report`) Actor

Finds deals whose current price is at (or within N% of) their all-time recorded low, verified via full price history. Only deals with proof are returned.

- **URL**: https://apify.com/p.khoa90/verified-deals-report.md
- **Developed by:** [Khoa Phan](https://apify.com/p.khoa90) (community)
- **Stats:** 2 total users, 1 monthly users, 94.4% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 verified deals

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

## Verified Deals Report

**Find products at their all-time price floor — every deal ships with proof.**

This Actor scans live deal data and verifies each candidate against its **full recorded
price history**: a deal is only returned when its current price is at (or within your
tolerance of) the **lowest price ever tracked**. No verified deals → empty output.
Honest empty beats unverified filler.

### What you get

- **Dataset items** — one per verified deal: `title, price_usd, lowest_recorded_usd,
  percent_above_floor, at_floor, merchant, url, price_checked_at, verification`
- **`report.md`** in the key-value store — a readable Markdown report with 🟢 AT
  ALL-TIME LOW tags, proof formulas and direct links, ready to share or publish

### How verification works

```
search_deals(q) → get_price_history(id) → verify: current ≤ lowest_recorded × (1 + pct_floor%)
```

Every item carries a human-readable `verification` formula and a `price_checked_at`
freshness timestamp. Data source: [Fazy Deals](https://fazy.com) deal/price-history data,
accessed per their agent terms with `X-Fazy-Agent` attribution.

### Input

| Field | Default | Meaning |
|---|---|---|
| `queries` | — (required) | Array of product searches, e.g. `["coffee maker", "air fryer"]` |
| `max_results` | 15 | Max candidates scanned per run (paginated) |
| `min_verified` | 5 | Stop once this many verified deals are collected |
| `max_price_usd` | 300 | Exclude deals above this current price |
| `pct_floor` | 10 | Tolerance above all-time low, in % |

### Example

Input `{"queries": ["coffee maker"], "min_verified": 5}` → 5 dataset items like:

> AeroPress Coffee Maker — **$39.95** (all-time low **$39.95**) 🟢 AT ALL-TIME LOW
> `current $39.95 vs lowest recorded $39.95 (tolerance +10%) — fazy price history`

### Notes

- Works across categories: electronics, appliances, wellness, cosmetics, apparel, footwear, home
- Runs on Apify's cloud — no setup, no proxies, stdlib-only container
- Price data freshness is disclosed per item (`price_checked_at`)

**Runtime (measured 05/10):** 1 query có filter ~11s, multi-query đủ 20 kết quả ~45s. 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 find deals for, e.g. \['coffee maker', 'air fryer']. One run scans all of them.

## `query` (type: `string`):

Alternative to queries array — a single product search

## `max_results` (type: `integer`):

Upper bound of search results to scan for verification

## `min_verified` (type: `integer`):

Stop scanning once this many price-floor-verified deals are collected

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

Exclude deals whose current price exceeds this amount in USD

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

Deal is verified when current price <= lowest_recorded \* (1 + pct_floor/100)

## Actor input object example

```json
{
  "queries": [
    "coffee maker",
    "air fryer"
  ],
  "max_results": 15,
  "min_verified": 5,
  "max_price_usd": 300,
  "pct_floor": 10
}
```

# Actor output Schema

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

Open to see every verified deal with its price-floor proof.

# 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/verified-deals-report").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/verified-deals-report").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/verified-deals-report --silent --output-dataset

```

## MCP server setup

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

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/gj8rXJELE8G56TP7j/builds/IrYKUd6kALhh5k82T/openapi.json