gsunit/Extreme-Uber-Eats-Scraping
A robust web-scraping pipeline and scraped data of 1.5M Uber Eats restaurants across 3.3k cities in the US.
This project offers a comprehensive dataset of 1.5 million Uber Eats restaurants across 3,300+ US cities, complete with details like cuisine, ratings, and addresses. It helps researchers, marketers, or business strategists analyze the food delivery market, understand competitor landscapes, or identify new opportunities. The output is a structured CSV file ready for analysis.
No commits in the last 6 months.
Use this if you need a large, pre-collected dataset of Uber Eats restaurant information for market research, competitive analysis, or academic studies.
Not ideal if you require real-time data or information from regions outside the US, as this dataset is static and focused solely on the US market.
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Language
Jupyter Notebook
License
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Last pushed
Aug 18, 2020
Commits (30d)
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Get this data via API
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