Brand Sentiment Analyzer — Reddit, News & Trustpilot
Pricing
from $5.00 / 1,000 brand mention collecteds
Monitor brand sentiment across Reddit, Google News and Trustpilot, with an executive summary of sentiment score, top complaints, top praise, crisis signals and share of voice against an optional competitor. Per-mention details and AI theme extraction are included.
The brand, product, or keyword to monitor. Used as a search query across all enabled sources. Examples: 'OpenAI', 'Tesla', 'iPhone 17 Pro', 'Apify'. Use exact spelling for best precision. NOT a profile URL or social handle — for those, use the platform-specific scrapers.
An optional second brand to monitor in parallel for share-of-voice comparison. The AI summary will include side-by-side mention counts and sentiment splits. Example: if brandName is 'Apify', set this to 'Zyte'. Leave empty to skip competitor analysis.
Default 3 sources (Reddit, Google News, Trustpilot) are scraped directly via public endpoints — fast and reliable. 'twitter' and 'youtube' are reserved for v1.3 and will return empty with a notice if selected. Cost scales linearly per platform — disable any you don't need. Each mention costs $0.005.
[ "reddit", "google-news", "trustpilot"]Hard cap on how many mentions to pull from each source. Default 25 keeps a typical run under $1. Set higher for deeper analysis (e.g., 100 for a comprehensive report). Total mentions across all platforms ≤ this number × number of platforms. Each mention costs $0.005.
How far back to search for mentions. '24h' for crisis monitoring, '7d' for launch tracking, '30d' for steady-state brand health, 'all' for historical analysis. Note: not every source supports every range — older content may be sparse on some platforms.
Two-letter language code (ISO 639-1). Filters mentions to this language only. Use 'en' for English, 'es' for Spanish, 'de' for German, 'fr' for French, 'all' for no filter. Default 'en'. Affects search query construction and sentiment-analysis quality.
If true (default), runs an AI model over collected mentions to produce: brand health score (0-10), sentiment breakdown, top 5 complaints, top 5 praise themes, crisis signals, and executive summary. Adds $0.30 to run cost. Set false to get raw mentions only with lexicon-based per-mention sentiment.
'concise' returns short mention text + sentiment label only (~80 tokens/item — best for AI agents). 'detailed' returns full text, author, engagement metrics, URLs, and individual sentiment confidence (~250 tokens/item — best for analytics dashboards). Default 'detailed'.
Hard spending cap per run. Actor stops gracefully when reached. Useful for bulk/scheduled runs to avoid surprise bills. Leave at 0 for no cap. Example: 5 means actor stops after spending $5. Recommended: set this to 2-3x your typical run cost as a safety net.