Sentiment Analysis — Review & Text Sentiment Scoring (VADER)

Sentiment analysis for any English text — built for review sentiment analysis, social posts and support tickets, scored with VADER.

Score sentiment on reviews or any text — sentiment label, scores and key phrases. Pipe reviews through it to quantify what customers feel.

Public reviews only — reviewer identities are shown exactly as published on the source platform.

Coverage note: this source doesn't return a result for every input, so output is best-effort where the data is public.

📊 Sample Output

text	analyzedAt	sentiment	scores	subjectivity	keyPhrases
I absolutely love this product! It completely solved my problem and t…	2026-09-24T23:50:57.615920+00:00	{'classification': 'positive', 'confidence': 1, 'compoundScore': 0.84…	{'positive': 0.423, 'negative': 0.114, 'neutral': 0.463}	1	['love', 'amazing']
Terrible experience. The app crashed twice and support was rude.	2026-09-24T23:50:57.746365+00:00	{'classification': 'negative', 'confidence': 1, 'compoundScore': -0.5…	{'positive': 0.171, 'negative': 0.386, 'neutral': 0.443}	1	['terrible', 'crashed', 'rude']

Real rows from run aV0V92bZcf7Ya6V7S on build 0.0.73 (2026-09-24), unedited apart from masked emails/phones and shortened long text; fields the source does not publish are empty.

⚙️ Sample inputs

This is the Store example input — the same input Apify's automated check runs — so it is proven to return rows on the current build. Paste it into the input form, or send it through the API, CLI or a schedule:

{
  "texts": [
    "I absolutely love this product!"
  ],
  "includeEmotions": true
}

🔧 Input reference

Field	Type	Default	What it does
texts	array of string	["I absolutely love this product! It completely solved my p…	List of text strings to analyze for sentiment. One dataset row (one charge) per non-empty string. Leave empty and the run succeeds with 0 rows and nothing is charged.
includeEmotions	boolean	true	Detect specific emotions (joy, anger, frustration, etc.)

🧾 JSON sample record

One real record from run aV0V92bZcf7Ya6V7S (emails/phones masked, long text shortened):

{
  "text": "I absolutely love this product! It completely solved my problem and the customer service was amazing.",
  "analyzedAt": "2026-09-24T23:50:57.615920+00:00",
  "sentiment": {
    "classification": "positive",
    "confidence": 1,
    "compoundScore": 0.841,
    "reasoning": "Positive tone driven by: love, amazing"
  },
  "scores": {
    "positive": 0.423,
    "negative": 0.114,
    "neutral": 0.463
  },
  "subjectivity": 1,
  "language": "en",
  "keyPhrases": [
    "love",
    "amazing"
  ],
  "textLength": 101,
  "engine": "vader",
  "emotions": [
    {
      "emotion": "joy",
      "confidence": 1,
      "matched": [
        "amazing",
        "love"
      ]
    }
  ]
}

💰 Pricing

Event	Price (USD)	When it is charged
Actor Start (apify-actor-start)	$5e-05	Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).
Sentiment record (apify-default-dataset-item)	$0.02	Single result in the default dataset.

Pay-per-event: you pay only for what the run delivers. A run that delivers nothing bills no result events (only the actor-start event, when the actor defines one). Example: a run that delivers 100 results costs 100 × $0.02 = $2.00 plus the start fee.

🔗 Related Actors

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• APAC Disclosure Monitor — Pan-Asia Regulatory Filings API
• APAC IPO Calendar Sweep — Pan-Asia New Listings API

30 more in this family on the NexGenData Store page.

📊 What you get

Clean JSON, one record per text analyzed (full output has 10 fields):

• text — Text
• analyzedAt — Analyzed At
• sentiment — Sentiment
• scores — Scores
• subjectivity — Subjectivity
• language — Language
• keyPhrases — Key Phrases
• textLength — Text Length
• engine — Engine
• emotions — Emotions

Pricing: $0.020 per text analyzed (Pay-Per-Event) — about 50 text analyzeds per $1.

🤖 Use with AI agents

Point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it and pull data on demand.

Agentic payments (x402): Supports agentic payment via x402 — agents can call this actor with USDC, no API key required.

🔗 Related actors

Review & app intelligence family — monitor reviews across every platform, score them, pipe them to Notion:

Apple App Store · Google Play Store · Google Play Reviews · iOS App Store Reviews · Google Maps Reviews · Amazon Reviews · Capterra Reviews · Review Intelligence to Notion

Agent front door — Review Intelligence MCP: Review Intelligence MCP

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Public web data, assembled for research and monitoring.