# \[DEPRECATED] Amazon Reviews Scraper (`dltik/amazon-reviews-scraper`) Actor

Scrape Amazon product reviews with built-in sentiment scoring and automatic pros/cons extraction. Get rating, full text, author, verified flag, helpful votes, date. Supports amazon.com, .fr, .de, .co.uk, .es, .it. For brand monitoring, product research, competitor analysis. $2/1K reviews.

- **URL**: https://apify.com/dltik/amazon-reviews-scraper.md
- **Developed by:** [Walid](https://apify.com/dltik) (community)
- **Categories:** E-commerce, AI, Marketing
- **Features:** Limited permissions
- **Stats:** 6 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 review scrapeds

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

## Amazon Reviews Scraper — Sentiment + Pros/Cons Auto-Extraction

> Extract **Amazon product reviews** with built-in **sentiment scoring** and **automatic pros/cons extraction**. The only Amazon reviews scraper that breaks down each review into positive and negative aspects automatically. Get rating, full text, author, verified flag, helpful votes, date. Supports `amazon.com`, `.fr`, `.de`, `.co.uk`, `.it`, `.es`, `.ca`, `.co.jp`. **$0.002 per review** ($2 per 1,000).

⭐ **Bookmark this Amazon Reviews Scraper** — Apify ranks actors by bookmarks, so it directly helps the visibility of this scraper on the Apify Store.

### What is the Amazon Reviews Scraper?

The **Amazon Reviews Scraper** is an Apify actor that pulls every review from any Amazon product page (across 8 marketplaces) and ships back a clean JSON dataset with sentiment scores and pros/cons baked in. Drop in an ASIN or a product URL, choose how many reviews to fetch, and the actor returns each review with: full text, star rating, author name, verified-purchase flag, helpful votes, posting date — plus a sentiment score (positive/neutral/negative + confidence) and a list of pros and cons distilled from the text.

Built on AFINN-165 lexicon for sentiment, with negation handling. No external sentiment API call, no extra cost.

### Use cases

- **Product research before launch** — analyze 1,000 reviews of competitor products to find unmet needs.
- **Brand monitoring** — daily scrape of your own product reviews; alert on dropping sentiment.
- **Comparative analysis** — pros/cons of product A vs product B at a glance.
- **AI training data** — labeled review datasets for fine-tuning sentiment models.
- **Refund / quality issue detection** — surface negative reviews mentioning "broken", "defective", "doesn't work" early.
- **Affiliate content generation** — auto-generate "Pros and Cons" sections for affiliate review articles.

### Input

```json
{
  "productUrl": "https://www.amazon.com/dp/B0EXAMPLE12",
  "maxReviews": 200,
  "sortBy": "recent"
}
```

### Output

```json
{
  "asin": "B0EXAMPLE12",
  "review_id": "R3EXAMPLE",
  "rating": 4,
  "title": "Great battery life, mediocre packaging",
  "text": "The battery lasts all day, way better than my old one...",
  "author": "Verified Buyer",
  "verified_purchase": true,
  "helpful_votes": 12,
  "review_date": "2026-04-15",
  "sentiment": "positive",
  "sentiment_score": 0.62,
  "pros": ["battery life", "build quality"],
  "cons": ["packaging", "instructions"]
}
```

### Pricing

**PAY_PER_EVENT — $0.002 per review** (= $2 per 1,000). No charge on errors.

### FAQ — Amazon Reviews API

**How is sentiment computed?** AFINN-165 lexicon with negation handling, in pure Python. No external API. Score from -1 (very negative) to +1 (very positive).

**Where do pros/cons come from?** Heuristic NLP extraction — adjective + noun pairs, negation reversal, frequency-weighted across the review.

**Does it handle multi-language reviews?** Yes — supports English, French, German, Spanish, Italian, Japanese (via per-locale lexicons).

**Can I scrape closed/restricted listings?** No — only public Amazon product pages.

***

⭐ **Found this useful? Bookmark this Amazon Reviews Scraper** — it's the strongest signal for Apify Store ranking.

#### Related actors

- [Amazon Bestsellers Scraper](https://apify.com/dltik/amazon-bestsellers) — top 100 per category, 8 marketplaces
- [Trustpilot Scraper — Reviews + Sentiment](https://apify.com/dltik/trustpilot-scraper) — same sentiment engine for Trustpilot
- [Reddit Scraper — Posts + Sentiment](https://apify.com/dltik/reddit-scraper) — same sentiment engine for Reddit

License: MIT · Author: [dltik](https://apify.com/dltik)

# Actor input Schema

## `asins` (type: `array`):

List of Amazon product ASINs (10-character codes like B0DKJYXTF9). Found in product URL.

## `urls` (type: `array`):

Amazon product URLs. ASINs will be extracted automatically.

## `marketplace` (type: `string`):

Amazon country: com (US), fr (France), de (Germany), co.uk (UK), es (Spain), it (Italy), ca (Canada).

## `extractProsCons` (type: `boolean`):

Auto-extract positive and negative phrases from each review using sentence-level sentiment analysis.

## `maxReviewsPerProduct` (type: `integer`):

Amazon's PDP shows 3-8 top reviews per product (no login required). For >8 reviews, you need to scrape the full reviews page (requires login cookies).

## `proxyConfig` (type: `object`):

Optional proxy. Amazon's PDP page works without proxy in most cases. Add Residential proxy if you hit rate limits or blocks.

## Actor input object example

```json
{
  "asins": [
    "B07XJ8C8F5"
  ],
  "urls": [],
  "marketplace": "com",
  "extractProsCons": true,
  "maxReviewsPerProduct": 8,
  "proxyConfig": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

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

Reviews with title, body, rating, sentiment, pros, cons.

# 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 = {
    "asins": [
        "B07XJ8C8F5"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("dltik/amazon-reviews-scraper").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 = { "asins": ["B07XJ8C8F5"] }

# Run the Actor and wait for it to finish
run = client.actor("dltik/amazon-reviews-scraper").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 '{
  "asins": [
    "B07XJ8C8F5"
  ]
}' |
apify call dltik/amazon-reviews-scraper --silent --output-dataset

```

## MCP server setup

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

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/bdcHuQ6EPUDwfCgn4/builds/03FcNUAzHTueHEZMn/openapi.json