# Ebay Review Scraper (`saswave/ebay-review-scraper`) Actor

$0.2 / 1000 results. The eBay Store Seller & Product Item Review Scraper collects historical, localized, and item-specific customer feedback directly from any eBay domain (.com, .co.uk, .de, .fr ...). Filter with item IDs or full bulk store feedback. Extract verified buyer reviews

- **URL**: https://apify.com/saswave/ebay-review-scraper.md
- **Developed by:** [SASWAVE](https://apify.com/saswave) (community)
- **Categories:** Automation, E-commerce, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.20 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

### Ebay Seller Reviews Scraper

The eBay Seller Reviews Scraper collects historical, localized, and item-specific customer feedback directly from any eBay domain (.com, .co.uk, .de, .fr, etc.)

By filtering through specific item IDs or pulling bulk store feedback, this tool extracts verified buyer reviews, seller feedback badges, and product metadata.

### FEATURE

Multi-Domain Regional Support: Scrape eBay feedback profiles across global localized domains (www.ebay.com, www.ebay.co.uk, www.ebay.fr, etc.).

Targeted Item Filtering: Extract reviews globally across a seller's full profile or pinpoint specific item listings using arrays of eBay Item IDs (items).

Granular Filter Controls: Custom-sort reviews by date (sort: "TIME"), rating type (POSITIVE, NEUTRAL, NEGATIVE), timeframe (period), and image attachments (image\_filter).

Automated System Feedback Ingestion: Choose to include or exclude automated eBay platform system ratings via the include\_automated\_feedback parameter.

Badge & Tier Metadata: Retrieve eBay reputation tiers, such as seller feedback score badges (PURPLE\_STAR, RED\_STAR, SHOOTING\_STAR) and tooltip context.

Batch Execution Mode: Process multiple sellers across different international regional domains simultaneously using array-based batch inputs.

### USE CASES

E-Commerce Competitor Benchmarking: Analyze negative feedback on competing eBay storefronts to identify recurring product defects, shipping delays, or packaging issues.

Supplier & Reseller Vetting: Audit overseas or third-party eBay suppliers before establishing dropshipping or bulk inventory procurement partnerships.

Review Aggregation & Social Proof: Pull verified purchase reviews for specific inventory items to feature as social proof on standalone e-commerce storefronts.

Automated Alerting & Brand Monitoring: Set up batch execution runs to monitor negative buyer sentiment across your own listings for fast resolution.

### INPUT

Simple Query

```json
{
  "domain":"www.ebay.co.uk",
  "seller":"jomegadgets",
  "items":["137046494000", "137284253982"], // optional, can contain more than one item id
  "sort":"TIME",
  "period":"All",
  "rating":"All",
  "image_filter":false,
  "include_automated_feedback":true,
}
```

BATCH Query

```json
{
  "sort":"TIME",
  "period":"All",
  "rating":"All",
  "image_filter":false,
  "include_automated_feedback":true,
  "batch":[ // can contain multiple objects
    {"domain":"www.ebay.co.uk", "seller":"jomegadgets", "items":["137046494000", "137284253982"]},
    {"domain":"www.ebay.fr", "seller":"wirled", "items":["287022378411"]}
  ]
}
```

### OUTPUT

```json
{
  "comment": "The items arrived well packaged before due date, so big thumbs up for delivery and communication from seller. As described items are brand new and as ordered in red/black combination looking smart well braided leads. They've been tested and all are working perfectly and are great quality and at this price much better value than the OEM leads. Can highly recommend seller a 5 star ebayer for great service all round, many thanks.",
  "user": "6***w",
  "context_time": "Past 6 months",
  "image_count": "0",
  "image": "",
  "item_price": "£15.99",
  "item_summary": "USB A to Type C Cable 3A 60W Fast Charger Braided Long Lead 0.25M 1M 2M 3M (# 135565531989 )",
  "rating": "POSITIVE",
  "rating_star": "PURPLE_STAR",
  "rating_score": "579",
  "rating_star_tooltip": "Purple star for Feedback score from 500 to 999",
  "verified": "Verified purchase"
}
```

### 🛟 SUPPORT

Share your runs with the developer team and create issues on error to help us improve actor quality.

You might discover edge case we didn't test yet

We stay available anytime

# Actor input Schema

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

Website domain name

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

Seller username

## `items` (type: `array`):

List of items from the seller to extract reviews from. Can be empty, it will get all seller reviews

## `sort` (type: `string`):

No description

## `period` (type: `string`):

Filter reviews

## `rating` (type: `string`):

Filter reviews

## `image_filter` (type: `boolean`):

if false, get all reviews

## `include_automated_feedback` (type: `boolean`):

If False, no automated feedback

## `max_page` (type: `integer`):

0 or empty = no limit

## `batch` (type: `array`):

Check documentation on how to use batch

## Actor input object example

```json
{
  "domain": "www.ebay.co.uk",
  "seller": "jomegadgets",
  "items": [
    "137046494000"
  ],
  "sort": "TIME",
  "period": "All",
  "rating": "All",
  "image_filter": false,
  "include_automated_feedback": true,
  "max_page": 1
}
```

# 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 = {
    "domain": "www.ebay.co.uk",
    "seller": "jomegadgets",
    "items": [
        "137046494000"
    ],
    "max_page": 1
};

// Run the Actor and wait for it to finish
const run = await client.actor("saswave/ebay-review-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 = {
    "domain": "www.ebay.co.uk",
    "seller": "jomegadgets",
    "items": ["137046494000"],
    "max_page": 1,
}

# Run the Actor and wait for it to finish
run = client.actor("saswave/ebay-review-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 '{
  "domain": "www.ebay.co.uk",
  "seller": "jomegadgets",
  "items": [
    "137046494000"
  ],
  "max_page": 1
}' |
apify call saswave/ebay-review-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,saswave/ebay-review-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/N1HIVOe19A8EhKhJK/builds/SQl4LQhxUh6tC9XSr/openapi.json
