# Amazon Seller + Feedback Scraper (`wibuild.in/amazon-seller-feedback-scraper`) Actor

Scrape Amazon Seller profiles or Seller feedback. Pick one option per run, paste a seller ID or seller page URL, then download the results with the run Export button (JSON, CSV, Excel).for brand protection, marketplace intelligence, seller due diligence, VOC, 3P competitor research and NLP pipelines

- **URL**: https://apify.com/wibuild.in/amazon-seller-feedback-scraper.md
- **Developed by:** [Wibuild](https://apify.com/wibuild.in) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 Seller Scraper | Extract Seller Profiles or Seller Feedback (Amazon Marketplaces)

**Scrape Amazon seller profiles** or **Amazon seller feedback** from public seller pages. Pick **one** option per run, paste a seller ID or seller page URL, then download the results with the run **Export** button (JSON, CSV, Excel).

Works on **amazon.com**, **amazon.co.uk**, **amazon.de**, **amazon.fr**, **amazon.it**, **amazon.es**, **amazon.ca**, **amazon.com.mx**, **amazon.com.au**, **amazon.co.jp**, and **amazon.in**.

***

### Read this first — one engine per run

This actor is **one scraper with two engines**. You cannot collect profile and feedback in the **same** run.

| You select | What you get | What you do **not** get |
|---|---|---|
| **Seller profile** | One row per seller: name, about, address, ratings, phone when Amazon shows it | Customer comments |
| **Seller feedback** | One row per comment: stars, text, date, seller replies | Full profile / address table |

- In the input form, **What to collect** is a single choice. **Seller profile** does not write comments. **Seller feedback** does not write the profile table. Max Mode and star filters only apply to feedback (they are ignored for profile).
- Need **both** for the same seller? Start **two runs** with the same seller ID: first `scrapeType: "profile"`, then `scrapeType: "feedback"`. Join later on `sellerId`.
- Every run writes to the **default dataset only**. You do **not** need the Storage tab or a second dataset.

***

### How to download your data

You always use the **same** results file — the run’s default dataset.

**Apify Console**

1. Open the finished run.
2. Open the **Output** / results table (or click **Export**).
3. Download **JSON, CSV, or Excel**.

That file is your profiles **or** your comments, depending on what you selected. There is nothing extra to hunt for.

**API**

```text
GET https://api.apify.com/v2/actor-runs/{runId}/dataset/items?format=csv
```

Same as Export. Integrations (Make, Zapier, n8n) and `run-sync-get-dataset-items` use this dataset.

**MCP / AI agents**
Use the dataset from the actor run (`get-actor-output` / default `datasetId`). It matches the engine you requested. Call the actor twice if you need both engines.

***

### 60-second overview

| Goal | What to set |
|---|---|
| **Seller directory** (name, about, address, ratings, phone when published) | `scrapeType = profile` |
| **Customer comments** (stars, text, date, seller replies) | `scrapeType = feedback`, `maxMode = true` |
| **Latest month, 5-star only** | `scrapeType = feedback`, `maxMode = false`, `timePeriod = 30d`, `starRatings = ["5"]` |
| **Critical comments only** | `scrapeType = feedback`, `maxMode = false`, `starRatings = ["critical"]` |
| **Cheap test** | `scrapeType = feedback`, `maxMode = false`, `maxFeedback = 20` |

***

### Why use this Amazon seller scraper?

- **Two engines, one actor** — seller profile **or** seller feedback, never a nested JSON blob.
- **Default dataset only** — Export / API / MCP just work.
- **Max Mode** (feedback engine) — maximizes unique public comments; duplicates are removed.
- **Filtered mode** — 30 / 90 / 365 days or Lifetime, plus star / positive / critical filters.
- **Profile fields** — store name, about seller, ratings, business name and address, storefront link, phone when Amazon publishes it.
- **Feedback fields** — star rating, comment, reviewer, date, seller reply when present, `sellerId` (and seller name when available).
- **Multi-marketplace** — US, UK, DE, FR, IT, ES, CA, MX, AU, JP, IN.

Ideal for: **brand protection**, **marketplace intelligence**, **seller due diligence**, **VOC**, **3P competitor research**, **account health**, and **NLP pipelines**.

***

### How you are billed

You pay for **rows in the default dataset** for that run:

| You selected | You pay for | Typical store price |
|---|---|---|
| **Seller profile** | Each seller row | **$1 per 1,000** sellers |
| **Seller feedback** | Each comment row | **$1.50 per 1,000** comments |

A Max Mode feedback run on a busy seller can return **thousands of comments** — that is most of the cost. Use `maxFeedback` or turn Max Mode **OFF** for a cheaper test. Profile runs are cheap (usually one row per seller).

Set a **max total charge** on the run if you want a hard spend cap.

***

### Engine 1 — Seller profile

```json
{
  "scrapeType": "profile",
  "seller": "https://www.amazon.com/sp?ie=UTF8&seller=A2YISN0J3GGO3N",
  "domain": "com"
}
```

Max Mode and star filters sit in **Seller feedback options**. They are ignored for this engine.

#### Sample profile row

```json
{
  "recordType": "sellerProfile",
  "statusCode": 200,
  "statusMessage": "FOUND",
  "sellerId": "A2YISN0J3GGO3N",
  "domainCode": "com",
  "sellerName": "ArtCreativity",
  "aboutSeller": "ArtCreativity is a Family owned toy...",
  "businessName": "Example LLC",
  "businessAddress": "123 Example Rd, City, ST, 10950, US",
  "storefrontUrl": "/s?ie=UTF8&marketplaceID=ATVPDKIKX0DER&me=A2YISN0J3GGO3N",
  "sellerPageUrl": "https://www.amazon.com/sp?ie=UTF8&seller=A2YISN0J3GGO3N",
  "countRating": 23769,
  "percentageRating": 99,
  "rating": 4.9,
  "sellerContactPhone": "+1 845-783-6009",
  "sellerContactEmail": null,
  "ratingThirtyDays": 4.9,
  "countThirtyDays": 412,
  "percentFiveStar": "94%",
  "percentFourStar": "4%",
  "percentThreeStar": "1%",
  "percentTwoStar": "0%",
  "percentOneStar": "1%",
  "ratingNinetyDays": 4.9,
  "countNinetyDays": 1200,
  "ratingTwelveMonths": 4.9,
  "countTwelveMonths": 5100,
  "ratingLifetime": 4.9,
  "countLifetime": 23769
}
```

**Notes:** Email is almost always empty. Phone is filled **only** when Amazon shows it. Star percents follow the on-page histogram (often the 30-day window).

***

### Engine 2 — Seller feedback

```json
{
  "scrapeType": "feedback",
  "seller": "https://www.amazon.com/sp?ie=UTF8&seller=A2YISN0J3GGO3N",
  "domain": "com",
  "maxMode": true
}
```

#### Max Mode

Turn **`maxMode` ON** for the **broadest unique set** of public seller feedback. Time window and star filters are ignored. Amazon does **not** always publish every historical comment — profile rating counts can be much larger than exportable written feedback.

#### Filters (Max Mode OFF)

| `timePeriod` | Meaning |
|---|---|
| `30d` | Last 30 days |
| `90d` | Last 90 days |
| `365d` | Last 12 months |
| `Lifetime` | All available public comments |

| `starRatings` | Meaning |
|---|---|
| `all` | All stars |
| `5` `4` `3` `2` `1` | That star only |
| `positive` | All positive (4–5) |
| `critical` | All critical (1–3) |

**Cheap test:**

```json
{
  "scrapeType": "feedback",
  "seller": "A2YISN0J3GGO3N",
  "domain": "com",
  "maxMode": false,
  "timePeriod": "30d",
  "starRatings": ["all"],
  "maxFeedback": 20
}
```

**Several sellers:**

```json
{
  "scrapeType": "feedback",
  "seller": "A2YISN0J3GGO3N",
  "sellers": ["A1EXAMPLESELLER"],
  "maxMode": true
}
```

If a URL already includes a host (`amazon.co.uk`), that marketplace wins over `domain`.

#### Sample feedback row

```json
{
  "recordType": "sellerFeedback",
  "sellerId": "A2YISN0J3GGO3N",
  "sellerName": "ArtCreativity",
  "domainCode": "com",
  "rating": 5,
  "text": "Great quality and fast shipping.",
  "raterName": "Jane D.",
  "date": "2026-03-12",
  "dateRaw": "March 12, 2026",
  "rater": "By Jane D. on March 12, 2026.",
  "hasResponse": false,
  "sellerReply": null,
  "fulfillmentChannel": "AMAZON",
  "timePeriod": "Lifetime",
  "starFilter": "5"
}
```

***

### Input reference

| Field | Required | Description |
|---|---|---|
| `scrapeType` | Yes | `profile` or `feedback` |
| `seller` | Yes | Seller ID or public seller page URL |
| `sellers` | No | Extra IDs or URLs in the same run |
| `domain` | No (default `com`) | Marketplace for a bare seller ID |
| `maxMode` | No (default `true`) | Feedback engine only |
| `timePeriod` | No | Feedback engine, Max Mode OFF |
| `starRatings` | No | Feedback engine, Max Mode OFF |
| `maxFeedback` | No | Cap unique comments (feedback engine) |

***

### What analysis can you run?

#### Profile engine

- Track `rating`, `countRating`, `percentageRating`
- Compare 30-day vs lifetime averages
- Capture `businessName` / `businessAddress` for vendor files
- Use phone only when the marketplace publishes it

#### Feedback engine

- Sentiment on `text`
- Split 1–2★ vs 4–5★ language
- Reply rate via `hasResponse` / `sellerReply`
- Volume by `date`
- Join later to a profile run on `sellerId`

***

### Tips

- Need **profile + comments**? Two runs with the same seller: `scrapeType: "profile"`, then `scrapeType: "feedback"`. Download each run with **Export**. Join files on `sellerId`.
- Do not look for a second dataset under Storage. **Export** is the full result for that run.
- Start feedback with Max Mode OFF and `maxFeedback = 20`, then turn Max Mode ON.
- High-volume sellers take longer and cost more in feedback mode.
- Empty email and missing phone are normal.
- Written feedback is often less than the rating count on the profile.

***

### Legal & fair use

Use this actor on **public** Amazon seller information you are allowed to collect. Respect Amazon’s terms, applicable law, and your privacy obligations. Do not use the data to harass sellers or to rebuild Amazon’s catalog as a competing storefront. Phone numbers appear only when Amazon already displays them.

***

### Keywords

Amazon seller scraper · Amazon seller profile scraper · Amazon seller feedback scraper · scrape Amazon merchant ratings · Amazon 3P seller address · Amazon seller phone number · Amazon marketplace seller intelligence · extract Amazon seller reviews · Amazon FBA seller feedback export · Apify Amazon seller dataset · seller due diligence Amazon · VOC Amazon marketplace · Amazon seller star ratings · competitor Amazon third-party sellers

# Actor input Schema

## `scrapeType` (type: `string`):

One engine per run. Seller profile = one row per seller (name, about, address, ratings, phone when published). Seller feedback = one row per customer comment. To get both, run the actor twice.

## `seller` (type: `string`):

Amazon seller ID (for example A2YISN0J3GGO3N) or the public seller page URL.

## `sellers` (type: `array`):

Additional seller IDs or seller page URLs to collect in the same run.

## `domain` (type: `string`):

Used when the input is a seller ID only. Ignored when the URL already includes a marketplace host.

## `maxMode` (type: `boolean`):

Used only when What to collect is Seller feedback. Ignored for Seller profile. ON = broadest unique comments. OFF = only the time window and star filter below.

## `timePeriod` (type: `string`):

Used only for Seller feedback when Max Mode is OFF. Limit comments to the last 30 days, 90 days, 12 months, or Lifetime.

## `starRatings` (type: `array`):

Used only for Seller feedback when Max Mode is OFF. Keep all stars, a single star, all positive (4–5), or all critical (1–3).

## `maxFeedback` (type: `integer`):

Used only for Seller feedback. Optional cap on unique comments. Leave empty for no cap. Ignored for Seller profile.

## Actor input object example

```json
{
  "scrapeType": "feedback",
  "seller": "https://www.amazon.com/sp?ie=UTF8&seller=A2YISN0J3GGO3N",
  "domain": "com",
  "maxMode": true,
  "timePeriod": "Lifetime",
  "starRatings": [
    "all"
  ]
}
```

# Actor output Schema

## `results` (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 = {
    "scrapeType": "feedback",
    "seller": "https://www.amazon.com/sp?ie=UTF8&seller=A2YISN0J3GGO3N",
    "domain": "com",
    "timePeriod": "Lifetime",
    "starRatings": [
        "all"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("wibuild.in/amazon-seller-feedback-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 = {
    "scrapeType": "feedback",
    "seller": "https://www.amazon.com/sp?ie=UTF8&seller=A2YISN0J3GGO3N",
    "domain": "com",
    "timePeriod": "Lifetime",
    "starRatings": ["all"],
}

# Run the Actor and wait for it to finish
run = client.actor("wibuild.in/amazon-seller-feedback-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 '{
  "scrapeType": "feedback",
  "seller": "https://www.amazon.com/sp?ie=UTF8&seller=A2YISN0J3GGO3N",
  "domain": "com",
  "timePeriod": "Lifetime",
  "starRatings": [
    "all"
  ]
}' |
apify call wibuild.in/amazon-seller-feedback-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,wibuild.in/amazon-seller-feedback-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/j9nnM7cssmW7Iqy0c/builds/HbDEqGGEAbZ5AFlLp/openapi.json