Text / Consumer & Lifestyle
Starbucks Customer Reviews & Sentiment on DoorDash | USA | 105K Dated Reviews Since 2021.
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Overview
Starbucks Customer Reviews & Sentiment on DoorDash | USA | 105K Dated Reviews Since 2021. is a text dataset. Typical applications include sentiment & opinion analysis. Pricing is not published and is provided on request.
Primary applications
WHAT THIS IS Customer review text for Starbucks locations on DoorDash: the full written review, its star rating and its date, joined to the store it was left at. SCALE, VERIFIED - 105,787 reviews - 8,674 distinct store locations - Earliest review 2 August 2021, latest 11 August 2026 - Roughly 873 new reviews per week, measured across 15 weeks of captures - Review text runs 4 to 2,622 characters, median 96 STAR DISTRIBUTION - AND WHY IT IS USEFUL 1 star 20,476 2 stars 27,381 3 stars 8,375 4 stars 11,421 5 stars 38,134 This is a genuine 1-to-5 distribution and it is bimodal: customers who write reviews are either delighted or unhappy, and the middle is thin. That is the opposite of the store-level star rating, which the platform compresses into a 4.1-5.0 band and which barely discriminates between locations. If you need sentiment that actually separates stores, this is the feed that has it. DATED HISTORY, HONESTLY DESCRIBED The history is real but back-loaded, because the platform surfaces recent reviews more readily than old ones: 2021 3 2022 635 2023 18,790 2024 20,457 2025 37,835 2026 28,067 (to 11 August) Treat 2023 onward as dense and 2021-2022 as residual. CUMULATIVE, NOT DELTA Each weekly file contains the full review history to date, not the week's new reviews. Deriving the new arrivals means differencing consecutive captures on store number, review date and text. This is stated so that nobody double-counts 105,787 reviews every week. NO REVIEWER IDENTITY The source pag
Technical specifications
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