Retail VoC Store Review Sweep
Pricing
Pay per usage
Sweeps Google Maps store reviews across many brand/location queries, normalizes and classifies each review (sentiment, topic, severity) with no LLM key required. Output rows carry the real review permalink.
The brand to sweep, e.g. Guardian, Sephora, Watsons. The actor finds this brand's store branches on Google Maps (scoped to country) and pulls each branch's reviews. Leave empty to use the advanced multi-brand brands list below instead.
Two-letter country code that anchors the map search, e.g. vn (Vietnam), sg (Singapore), id (Indonesia). Without it, Google Maps picks an arbitrary center and coverage suffers.
How many store branches to enumerate per brand. Higher = more branches covered and higher cost.
How many reviews to pull from each branch. Higher = more data and higher cost.
Advanced: compare several brands in one run (e.g. you vs competitors). One entry per brand: { "brand": "Guardian", "searchTerms": ["Guardian"], "country": "vn" }. searchTerms and country are optional (default to the brand name and the top-level country). Ignored when a single brand is set above. Left empty, the run defaults to Guardian vs Hasaki vs Watsons.
Language code passed to the Google Maps scraper.
