# Tool: Reviews Sentiment & Themes Analyzer (`scrapers_lat/reviews-sentiment-tool`) Actor
Analyze customer and product reviews for sentiment, score, themes and emotions using premium AI. Paid Apify plans only.
- **URL**: https://apify.com/scrapers\_lat/reviews-sentiment-tool.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** AI, Business, E-commerce
- **Stats:** 2 total users, 1 monthly users, 96.2% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $64.00 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#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
[](https://console.apify.com/actors/reviews-sentiment-tool)
## Tool: Reviews Sentiment & Themes Analyzer
> Turn a pile of customer reviews into structured insight. For every review you get sentiment, a numeric score, the themes people mention and the emotions behind them.
**📥 [Input](https://apify.com/scrapers_lat/reviews-sentiment-tool/input-schema) · 📤 [Output](https://apify.com/scrapers_lat/reviews-sentiment-tool/output-schema) · 💰 [Pricing](https://apify.com/scrapers_lat/reviews-sentiment-tool/pricing) · ▶️ [Examples](https://apify.com/scrapers_lat/reviews-sentiment-tool/examples)**
Sentiment + score positive, neutral, negative
Themes + emotions what and why
JSON / CSV / Excel output formats
### What it does
Give it a list of reviews, each as plain text or an object with a `text` field. For each review it returns a clean, structured record:
- **sentiment** (positive, neutral, negative)
- **score** from -1 to 1, so you can rank and average
- **themes**, the topics the reviewer talks about (shipping, price, quality and so on)
- **emotions** expressed in the review
- a one line **summary** of the main point
Feed the results into a dashboard, a spreadsheet or a support workflow. Export to JSON, CSV or Excel, or pull it through the Apify API.
### Paid plans only
This tool runs on the latest, most reliable premium AI models. Because each run has a real model cost, it is available to paid Apify accounts only. A run started from a free account stops immediately with an upgrade message. Upgrade your Apify subscription to a paid plan and run it again.
### Who is it for
| Use case | Who benefits |
|---|---|
| Product teams | Spotting what customers love and hate at scale |
| Ecommerce | Reading store and marketplace reviews without manual tagging |
| Support | Routing and prioritizing feedback by sentiment |
| Market research | Turning open text into countable themes |
### Input
- **reviews**: a list of reviews, each a plain string or an object with a `text` field.
- **maxItems**: optional cap on how many reviews to analyze this run.
### Notes
- One AI analysis is returned per review, so results line up one to one with your input.
- Very long reviews are shortened before analysis to keep runs fast and predictable.
### Example use cases
Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:
- [Analyze Restaurant Review Sentiment](https://apify.com/scrapers_lat/reviews-sentiment-tool/examples/rsent-analyze-restaurant-review-sentiment): Score restaurant reviews as positive, negative or neutral so owners spot service issues and celebrate what guests love.
- [Analyze App Store Review Sentiment](https://apify.com/scrapers_lat/reviews-sentiment-tool/examples/rsent-analyze-app-store-review-sentiment): Measure sentiment across app store reviews so product teams see what users love and which bugs are driving anger.
- [Analyze Hotel Review Sentiment](https://apify.com/scrapers_lat/reviews-sentiment-tool/examples/rsent-analyze-hotel-review-sentiment): Turn hotel guest reviews into sentiment scores so managers track satisfaction and fix problems before ratings drop.
- [Analyze Ecommerce Product Sentiment](https://apify.com/scrapers_lat/reviews-sentiment-tool/examples/rsent-analyze-ecommerce-product-sentiment): Read the mood of product reviews so online sellers understand returns, complaints and what keeps repeat buyers coming back happy.
- [Analyze Employer Review Sentiment](https://apify.com/scrapers_lat/reviews-sentiment-tool/examples/rsent-analyze-employee-review-sentiment): Gauge sentiment in employer reviews so HR and recruiting teams understand how staff really feel about the company.
- [Analyze Movie Review Sentiment](https://apify.com/scrapers_lat/reviews-sentiment-tool/examples/rsent-analyze-movie-review-sentiment): Classify movie reviews by sentiment so studios and critics can track audience reactions in the first hours after a release.
- [Analyze SaaS Software Review Sentiment](https://apify.com/scrapers_lat/reviews-sentiment-tool/examples/rsent-analyze-saas-review-sentiment): Detect sentiment in software reviews so product managers prioritize features users praise and complaints they must fix.
- [Analyze Airline Review Sentiment](https://apify.com/scrapers_lat/reviews-sentiment-tool/examples/rsent-analyze-airline-review-sentiment): Score airline passenger reviews so carriers track comfort, delays and service quality across routes and cabins.
- [Analyze Online Course Review Sentiment](https://apify.com/scrapers_lat/reviews-sentiment-tool/examples/rsent-analyze-course-review-sentiment): Understand how learners feel about an online course so instructors improve lessons and boost completion rates.
- [Analyze a Mixed Batch of Reviews](https://apify.com/scrapers_lat/reviews-sentiment-tool/examples/rsent-analyze-mixed-batch-review-sentiment): Run sentiment on a mixed batch of customer reviews at once so teams get a fast overview of overall satisfaction.
### Export, API and AI agents (x402 + MCP)
Export the scraped data to **JSON, CSV or Excel**, pull it as a **dataset** through the Apify **API**, or wire it into your app with **no code**. This web scraper and data extractor also works for bulk data extraction and scheduled runs.
For AI agents: this Actor is available on **x402**, Apify's agentic payment standard built with Coinbase. An AI agent can discover, pay for and run it on its own with a funded wallet and a single HTTP request: no account, no subscription, no API key and no human in the loop. It also runs as an **MCP** tool inside Claude, Cursor and other AI clients out of the box. Learn more about [x402 agentic payments on Apify](https://docs.apify.com/platform/integrations/x402).
Built by [scrapers.lat](https://scrapers.lat).
# Actor input Schema
## `maxReviews` (type: `integer`):
Maximum number of reviews to analyze this run. Optional.
## `reviews` (type: `array`):
A list of reviews to analyze. Each item can be a plain string or an object with a text field. One AI analysis is returned per review.
## Actor input object example
```json
{
"reviews": [
"The headphones sound great and the battery lasts all day, but the case feels cheap and started scratching within a week.",
"Shipping took three weeks and the box arrived crushed. The product itself is fine but I will not order from here again.",
"Absolutely love this blender. Quiet, powerful and easy to clean. Best kitchen purchase I have made this year."
]
}
```
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"reviews": [
"The headphones sound great and the battery lasts all day, but the case feels cheap and started scratching within a week.",
"Shipping took three weeks and the box arrived crushed. The product itself is fine but I will not order from here again.",
"Absolutely love this blender. Quiet, powerful and easy to clean. Best kitchen purchase I have made this year."
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/reviews-sentiment-tool").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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "reviews": [
"The headphones sound great and the battery lasts all day, but the case feels cheap and started scratching within a week.",
"Shipping took three weeks and the box arrived crushed. The product itself is fine but I will not order from here again.",
"Absolutely love this blender. Quiet, powerful and easy to clean. Best kitchen purchase I have made this year.",
] }
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/reviews-sentiment-tool").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"reviews": [
"The headphones sound great and the battery lasts all day, but the case feels cheap and started scratching within a week.",
"Shipping took three weeks and the box arrived crushed. The product itself is fine but I will not order from here again.",
"Absolutely love this blender. Quiet, powerful and easy to clean. Best kitchen purchase I have made this year."
]
}' |
apify call scrapers_lat/reviews-sentiment-tool --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/reviews-sentiment-tool",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
Download the OpenAPI definition: https://api.apify.com/v2/acts/rA1eIuiBj4obyEsWi/builds/wCS2tRm9MOLuGhdU0/openapi.json