Yelp Reviews Scraper & AI Sentiment Analysis
Pricing
from $400.00 / 1,000 per 100 reviews
Paste a Yelp business URL: the Actor collects its reviews and turns them into an owner-ready action plan with sentiment, recurring themes, top complaints and praises, and prioritized fixes. Already have reviews? Paste them instead.
Paste a Yelp business page URL (for example https://www.yelp.com/biz/...). The Actor collects its reviews with a Yelp review scraper, billed separately at that scraper's own price (about $0.03 per 100 reviews), then analyzes them. Leave empty to analyze the reviews you provide below instead.
Upper limit of reviews collected from the URL (10-500). More reviews give a more reliable analysis but cost more. Ignored when you provide reviews directly.
Alternative to the URL: the Yelp business reviews to analyze, as plain strings OR {text, rating} objects. You can connect a Yelp review-scraper's dataset output directly (map the review text field to 'text'). Used only when the URL above is empty.
[ { "text": "Food was delicious and the patio is lovely, but we waited 25 minutes just to be seated with a half-empty dining room.", "rating": 3 }, { "text": "The staff were so warm and welcoming, remembered our names from last time. This is why we keep coming back.", "rating": 5 }, { "text": "Prices have crept up a lot and portions got smaller. Not the value it used to be.", "rating": 2 }, { "text": "Tables were sticky and the restroom clearly had not been cleaned. Great food ruined by poor hygiene.", "rating": 2 }, { "text": "Fast, friendly service and the best coffee in the neighborhood. Cozy atmosphere, perfect for working.", "rating": 5 }]The business name. Used in the report title and as context for the analysis.
Local-business context that guides theme extraction. Leave as-is for restaurants/local venues; edit only for a different business type.
Language of the analysis content (sentiment and action text).
LLM model. The default is cheap and fast; pick a stronger model for deeper analysis.