AI Social Listening & Sentiment

Add the AI intelligence layer on top of any social scraper: sentiment, themes, share of voice vs. competitors, emerging topics and recommended actions.

The social scrapers on Apify give you raw posts. This actor gives you the meaning.

🔗 Chain it after your scraper

Already scraping with Instagram Scraper (apify/instagram-scraper), TikTok Scraper (clockworks/tiktok-scraper) or Tweet Scraper (apidojo/tweet-scraper)? Pipe the dataset straight in — paste its dataset ID and get sentiment, themes, share of voice and recommended actions over all those posts. Works with any social or review scraper's output (Reddit, YouTube, Trustpilot and more).

Quick start

1. Fill in the input — set the fields in the input tab (prefilled with a working example).
2. Click Start — the Actor runs and writes one record per item to the dataset.
3. Get your data — export to JSON, CSV or Excel, or pull it via the API.

What it does

Point it at the dataset from any social or review scraper — Instagram, TikTok, X, YouTube, Reddit, Google or Trustpilot reviews — or paste text directly, and it:

• Tags every post with sentiment and normalized themes
• Aggregates them into theme rollups with share, sentiment split and example quotes
• Computes brand mentions and share of voice (when you provide a brand + competitors)
• Writes a narrative summary with concrete top praises, top complaints, emerging topics and recommended actions

Schedule it to track sentiment over time.

Clean by design

It analyzes the output of a scraper you already run — you do the compliant collection, this does the analysis.

Input

Field	Type	Description
datasetId	string	Dataset ID from any social/review scraper.
items	array	Or paste post/review texts directly.
textField	string	Which field holds the text (auto-detected if empty).
brand	string	Brand to track (enables share of voice).
competitors	array	Competitor names.
topic	string	Context to steer the analysis.
maxItems	integer	Max posts to analyze (default 500).

{
  "datasetId": "YOUR_SCRAPER_DATASET_ID",
  "brand": "Acme",
  "competitors": ["Globex", "Initech"],
  "topic": "customer reactions to our new pricing"
}

Or with raw text:

{
  "brand": "Acme",
  "items": ["Love the new Acme dashboard!", "Acme support ignored my ticket", "Globex is cheaper than Acme"]
}

Output

Per-post rows, theme rollups, and a summary record:

{
  "recordType": "summary",
  "totalPosts": 500,
  "sentimentBreakdown": { "positive": 260, "negative": 140, "neutral": 100 },
  "overallSentiment": "positive",
  "netSentimentScore": 24,
  "shareOfVoice": 77,
  "topThemes": [{ "theme": "customer support", "mentions": 83, "dominant": "negative", "examples": ["…"] }],
  "topPraises": ["Fast, intuitive dashboard"],
  "topComplaints": ["App crashes after updates"],
  "recommendedActions": ["Prioritize a mobile-stability fix", "Review pricing for small teams"]
}

Pricing (pay-per-event)

Event	When	Price
posts-analyzed	per batch of up to 25 posts	$0.10
insight-report	per run (aggregated analysis)	$0.50

Who it's for

Social and brand teams, agencies, product and CX teams who want insight — not just raw posts.

Notes

• Requires an OpenAI API key (OPENAI_API_KEY).
• Pair it with any Apify social/review scraper: run the scraper, then feed its datasetId here (or chain them).

Related actors

• Ad Radar — AI Ad & Creative Intelligence — Analyze competitors' ads (from any Meta Ad Library scraper) for hooks, offers, angles
• Google Reviews Insights (AI) — Turns Google reviews into concrete insights for a business and its competitors: top
• AI Brand Visibility Tracker (GEO/AEO) — Track how visible your brand is in AI answer engines — are you recommended when people