# Amazon Product Scraper — Reliable, No Silent Blanks (`alaudinburki/amazon-product-scraper-reliable`) Actor

Scrape Amazon products with per-field reporting. Every row tells you exactly what was found and what was missing - no silent blanks, no surprise failures.

- **URL**: https://apify.com/alaudinburki/amazon-product-scraper-reliable.md
- **Developed by:** [alaudin burki](https://apify.com/alaudinburki) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.00 / 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?

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

## Amazon Product Scraper — Reliable, with Price Intelligence

Scrape any Amazon product page into clean, structured data — **and get the answer, not just the
dump**: a price-anomaly flag, a deal score, and a "what changed since last run" diff. Works across
**19 Amazon marketplaces** (.com, .co.uk, .de, .in, .ae, .co.jp and more). No login, no cookies.

The difference from every other Amazon scraper: **this one never returns a silent blank.** Every row
tells you what was found, what was missing, and *why* — and a run-level quality report proves it.
Empty cells with no explanation are the #1 reason scrapers get abandoned; this fixes that.

### What you get

| Product data | Intelligence & reliability |
|---|---|
| Title, brand, price, list price, discount % | **`dealScore`** (0–100 buyer-value verdict) |
| Rating, review count, **star histogram** | **`isPriceAnomaly`** (price >2σ from its own history) |
| **Best Sellers Rank** (+ per-category) | **`priceVsAvgPercent`**, `priceLow`, `priceHigh` |
| **Variants** (color/size + child ASINs) | **`whatChanged`** since last run (price/stock/rating/BSR) |
| Feature bullets, description, image gallery | **`amazonsChoice`**, `bestSeller` badges |
| Seller, ships-from, **FBA/FBM** fulfillment | `completeness` %, `fieldsFound`, `fieldsMissing` |
| Availability, in-stock, currency, marketplace | run-level **`QUALITY_REPORT`** in the key-value store |

### How to use it

1. Paste one or more Amazon product URLs.
2. Set the **proxy country** to match the marketplace (prices differ by delivery location).
3. Leave **Track price history** and **Detect changes** on, and **schedule it daily** — that's how the
   anomaly flags and `whatChanged` build up. Run once for a snapshot; schedule for a monitor.

### Input

```json
{
  "productUrls": [
    { "url": "https://www.amazon.com/dp/B09XS7JWHH" },
    { "url": "https://www.amazon.co.uk/dp/B08N5WRWNW" }
  ],
  "proxyCountry": "US",
  "trackPriceHistory": true,
  "detectChanges": true,
  "maxItems": 100
}
```

### Output (one product)

```json
{
  "asin": "B09XS7JWHH",
  "title": "Sony WH-1000XM5 Wireless Headphones",
  "brand": "Sony",
  "price": 328.00,
  "listPrice": 399.99,
  "discountPercent": 18,
  "currency": "USD",
  "priceStatus": "found",
  "rating": 4.4,
  "reviewCount": 12847,
  "starsBreakdown": { "fiveStar": 70, "fourStar": 20, "threeStar": 5, "twoStar": 3, "oneStar": 2 },
  "bestSellersRank": 12,
  "bsr": [{ "rank": 12, "category": "Electronics" }, { "rank": 1, "category": "Over-Ear Headphones" }],
  "amazonsChoice": true,
  "bestSeller": false,
  "variantAxes": ["color_name"],
  "variantCount": 3,
  "variants": [{ "asin": "B09XS7JWHH", "dimensions": ["Black"] }],
  "featureBullets": ["Industry-leading noise cancellation", "30-hour battery life"],
  "imageCount": 7,
  "soldBy": "Amazon.com", "shipsFrom": "Amazon.com", "fulfillment": "FBA",
  "dealScore": 71,
  "priceVsAvgPercent": -12, "priceLow": 298.00, "priceHigh": 399.99, "isPriceAnomaly": true,
  "whatChanged": [{ "field": "price", "from": 379.00, "to": 328.00 }],
  "isNew": false,
  "completeness": 100, "fieldsFound": "title,price,listPrice,rating,reviewCount,brand,availability,image", "fieldsMissing": null,
  "url": "https://www.amazon.com/dp/B09XS7JWHH",
  "scrapedAt": "2026-09-03T09:00:00.000Z",
  "status": "ok"
}
```

### Why the intelligence fields matter

- **`isPriceAnomaly` + `priceVsAvgPercent`** — schedule daily and the actor learns each product's normal
  price, then flags a genuine drop or spike (>2σ) automatically. Arbitrage sellers and deal sites live on this.
- **`whatChanged`** — turns a one-off scrape into a **monitor**: it reports exactly what moved since the
  last run (price, stock, rating, review count, BSR). Wire the webhook and you have price-drop alerts.
- **`dealScore`** — one 0–100 number combining discount, rating and review volume, so you can rank a
  list of products by "is this actually a good buy?" without post-processing.
- **`QUALITY_REPORT`** (key-value store) — field coverage %, blocks encountered, anomalies, and
  `dataFaked: 0`. Honest accounting competitors hide.

### Pricing

Pay-per-result: **$4.00 / 1,000 products** (`$0.004` per result), plus a near-zero start fee. You are
**never charged beyond your `maxItems`**, and blocked/failed pages are reported, not billed as data.

### FAQ & limitations

- **Do I need cookies/login?** No. Product-page data is fetched logged-out. (Full review *text* is
  login-walled — use the companion **Amazon Reviews** actor for that.)
- **Why is a price null?** The row's `priceStatus` says why — `unavailable_in_marketplace`,
  `no_seller_for_this_location`, or `page_not_a_product`. Never a silent blank.
- **Do I need to schedule it?** Only if you want price history / anomaly / `whatChanged`. A single run
  still returns everything else. History needs ≥4 prior runs before `isPriceAnomaly` becomes non-null.
- **Variant prices?** Variants list child ASINs + their option values; per-variant price needs each
  child ASIN as its own URL (add them to `productUrls`).
- **Blocks?** Amazon throttles datacenter IPs; if you see captcha blocks in the log, turn on
  **Use residential proxy**. Blocks are retried with fresh IPs and reported honestly.
- **Which marketplaces?** 19, auto-detected from the URL; currency and country are set accordingly.
- **Integrations?** Output goes to Zapier, Make, n8n, or any webhook via Apify's integrations.

### Related actors

- **Amazon Reviews (Honest)** — review text + rating summary at the scope Amazon serves without login.
- **eBay Sold Listings** — real sold comps for resale pricing.
- **Shopify Product Scraper** — the same reliability approach for Shopify stores.
- **Portfolio Health Monitor** — smoke-tests your scheduled actors and alerts when one degrades.

# Actor input Schema

## `productUrls` (type: `array`):

Product page URLs from any Amazon marketplace (.com, .co.uk, .de, .in, .ae and 14 more).

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

Hard limit, strictly enforced. You will never be charged for more than this.

## `minCompleteness` (type: `integer`):

Skip products where fewer than this percentage of fields were found. Leave at 0 to return everything with its completeness score.

## `proxyCountry` (type: `string`):

Two-letter country code. Prices and availability differ by delivery location — set this to match the marketplace you're scraping.

## `useResidentialProxy` (type: `boolean`):

Slower and more expensive, but far less likely to be blocked. Turn on if you see captcha blocks in the log.

## `maxConcurrency` (type: `integer`):

Lower this if you hit blocks. 5 is a safe default.

## `trackPriceHistory` (type: `boolean`):

Remembers each product's price across runs. Adds priceVsAvgPercent, priceLow/High and isPriceAnomaly (flags a price >2σ from its own history). Schedule this actor daily to build the history.

## `detectChanges` (type: `boolean`):

Compares each product to the previous run and adds a whatChanged list (price, stock, rating, review count, BSR) plus isNew. Turns this into a price/stock monitor you can schedule.

## Actor input object example

```json
{
  "productUrls": [
    {
      "url": "https://www.amazon.com/dp/B09XS7JWHH"
    },
    {
      "url": "https://www.amazon.co.uk/dp/B08N5WRWNW"
    }
  ],
  "maxItems": 100,
  "minCompleteness": 0,
  "proxyCountry": "US",
  "useResidentialProxy": false,
  "maxConcurrency": 5,
  "trackPriceHistory": true,
  "detectChanges": true
}
```

# Actor output Schema

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

The dataset of results produced by this run.

# 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 = {
    "productUrls": [
        {
            "url": "https://www.amazon.com/dp/B09XS7JWHH"
        },
        {
            "url": "https://www.amazon.co.uk/dp/B08N5WRWNW"
        }
    ],
    "maxItems": 100,
    "minCompleteness": 0,
    "proxyCountry": "US"
};

// Run the Actor and wait for it to finish
const run = await client.actor("alaudinburki/amazon-product-scraper-reliable").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 = {
    "productUrls": [
        { "url": "https://www.amazon.com/dp/B09XS7JWHH" },
        { "url": "https://www.amazon.co.uk/dp/B08N5WRWNW" },
    ],
    "maxItems": 100,
    "minCompleteness": 0,
    "proxyCountry": "US",
}

# Run the Actor and wait for it to finish
run = client.actor("alaudinburki/amazon-product-scraper-reliable").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 '{
  "productUrls": [
    {
      "url": "https://www.amazon.com/dp/B09XS7JWHH"
    },
    {
      "url": "https://www.amazon.co.uk/dp/B08N5WRWNW"
    }
  ],
  "maxItems": 100,
  "minCompleteness": 0,
  "proxyCountry": "US"
}' |
apify call alaudinburki/amazon-product-scraper-reliable --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,alaudinburki/amazon-product-scraper-reliable"
        }
    }
}

```

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/tSmvCOMVxnj2ERJBb/builds/0chlE3iydm9AuKOnW/openapi.json