# Target Product Reviews Scraper (`eunit/target-reviews-scraper`) Actor

Easily scrape product reviews and details from Target.com with our reliable scraper. Perfect for market research and analysis. Need custom features? Raise a support ticket, and we’ll tailor it to your needs. Streamline your data collection today!

- **URL**: https://apify.com/eunit/target-reviews-scraper.md
- **Developed by:** [Emmanuel Uchenna](https://apify.com/eunit) (community)
- **Categories:** E-commerce, Lead generation
- **Features:** Full permissions
- **Stats:** 15 total users, 0 monthly users, 100.0% runs succeeded, 2 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## 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

## Target.com Product Reviews Scraper

![Target.com Product Reviews Scraper](https://i.postimg.cc/Gt5VsBmf/image.png)

### Overview

The **Target.com Product Reviews Scraper** is a powerful tool designed to extract product reviews, ratings, and related details directly from Target.com. Whether you’re conducting market research, analyzing customer sentiment, or tracking product performance, this scraper provides structured, easy-to-use data in JSON format.

### Features

- Extracts detailed reviews, including:
  - Usernames, timestamps, and review text.
  - Star ratings and secondary ratings (e.g., quality scores).
  - Rating histograms and recommendation percentages.
- Outputs clean, structured JSON for seamless integration.
- Handles large datasets efficiently, saving time and effort.
- Easily customizable for specific scraping needs.

### Example Output

```json
{
  "secondary_rating": "quality\n4.6 out of 5",
  "rating_count": "832 star ratings",
  "rating_histogram": "5 stars\n85%\n4 stars\n9%\n3 stars\n3%\n2 stars\n1%\n1 star\n2%",
  "percent_recommended": "90% would recommend",
  "total_recommendations": "155 recommendations",
  "reviews": [
    {
      "title": "no more litter everywhere",
      "rating": "5 out of 5 stars",
      "username": "tryingnewskincareproducts",
      "time": "7 days ago",
      "text": "it did not take long to teach my kittens to use this enclosed litter box..."
    }
  ]
}
```

### Your feedback

We are always working on improving the performance of our Actors. So if you’ve got any technical feedback for the [Target.com Product Reviews Scraper](https://apify.com/eunit/target-reviews-scraper) Actor or simply found a bug, please create an issue on the [Actor’s Issues tab](https://console.apify.com/actors/nNMgUFvnZOKJfh06e/issues) in [Apify Console](https://console.apify.com/actors/nNMgUFvnZOKJfh06e).

# Actor input Schema

## `url_list` (type: `array`):

Product page URLs to scrape reviews from

## Actor input object example

```json
{
  "url_list": [
    "https://www.target.com/p/enclosed-cat-litter-box-xl-up-up/-/A-90310047?preselect=87059440#lnk=sametab"
  ]
}
```

# 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 = {
    "url_list": [
        "https://www.target.com/p/enclosed-cat-litter-box-xl-up-up/-/A-90310047?preselect=87059440#lnk=sametab"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("eunit/target-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 = { "url_list": ["https://www.target.com/p/enclosed-cat-litter-box-xl-up-up/-/A-90310047?preselect=87059440#lnk=sametab"] }

# Run the Actor and wait for it to finish
run = client.actor("eunit/target-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 '{
  "url_list": [
    "https://www.target.com/p/enclosed-cat-litter-box-xl-up-up/-/A-90310047?preselect=87059440#lnk=sametab"
  ]
}' |
apify call eunit/target-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,eunit/target-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/nNMgUFvnZOKJfh06e/builds/vEh1b8hWUaemcSVf0/openapi.json