UberEats Exporter - No code, Only one click

Stop copy-pasting. Export Uber Eats restaurants, menus, reviews & prices to CSV, Excel or JSON in seconds.

UberEats Exporter — No code, only one click Tired of copy-pasting restaurant names, menu items, prices, and reviews into spreadsheets? UberEats Exporter gives you all that data in seconds. It’s the fastest way to turn Uber Eats pages into clean, ready-to-use CSV, Excel, or JSON files—no scripts, no manual work, no guesswork. What it does - Captures full restaurant data: names, categories, locations, delivery fees, estimated times, ratings, and review counts. - Pulls complete menus: item names, options, add-ons, prices, and availability. - Collects reviews at scale: review text, timestamps, ratings, and helpful counts. - Exports instantly: choose CSV, Excel, or JSON; download in one click. - Works without code: point, click, export—no APIs, no terminal, no scraping setup. - Built for teams: consistent structure, predictable columns, easy to share, easy to repeat. - Private by design: processes data on your machine; you stay in control. Why install it - Save hours: skip copy-paste drudgery and tedious formatting. - Reduce errors: structured export means fewer typos and missed fields. - Move faster: validate new markets, track competitors, and brief stakeholders the same day. - Stay flexible: CSV for quick filtering, Excel for analysis, JSON for developers. - Standardize reports: every export uses the same schema, so weekly updates stay consistent. - Empower non-technical teams: anyone can pull data without asking engineering. - Capture the full picture: menus change; reviews update—refresh exports whenever you need. Who it’s for - Ops & category managers: benchmark restaurants, fees, and delivery times. - Pricing & revenue teams: compare price positioning and promo effectiveness. - Growth & marketing: build accurate outreach lists with categories and ratings. - Product & UX: study menu organization, add-on patterns, and review themes. - Data & research: feed clean, labeled data into models and dashboards. - Agencies & consultants: deliver client-ready spreadsheets without custom scripts. - Founders & analysts: validate ideas quickly using live market data. How it fits your workflow - Open Uber Eats, navigate to a restaurant or list, click export. - Choose CSV for quick filters, Excel for pivots, JSON for pipelines. - Drop the file into Sheets, Excel, BI tools, or your codebase. - Repeat whenever menus or reviews change—same schema, same speed. What you get in the file - Restaurant-level: name, cuisine/category, delivery/pickup availability, estimated time, delivery fee, rating, review count, address/area (when available). - Menu-level: sections, items, item descriptions, prices, options, add-ons, availability flags. - Review-level: rating, text, timestamp, helpful/upvote counts (when available). - Metadata: source URL and export timestamp to keep runs comparable. Why one click matters - No setup: avoid proxies, headers, or API keys. - No scripts: skip writing, debugging, and maintaining scrapers. - No waiting: exports finish in seconds, even for large menus. - No cleanup: columns are already labeled; no reformatting required. Common pain points solved - Copy-paste fatigue: eliminates manual transfers from the browser to spreadsheets. - Missing data: grabs nested options and add-ons that are easy to overlook. - Inconsistent columns: every export uses the same structure, so comparisons are reliable. - Slow refreshes: rerun exports anytime prices or promos change. - Team bottlenecks: non-technical teammates can self-serve data pulls. Example uses - Competitive scans: compare delivery fees and prep times across neighborhoods. - Price tracking: monitor menu price changes and promo patterns over time. - Menu intelligence: study how top performers structure sections and add-ons. - Review mining: identify recurring complaints or praise for product improvements. - Territory planning: map categories, density, and ratings for new launches. - Reporting: generate weekly CSV/Excel drops without touching a script. Designed for reliability - Clean schema: consistent headers for painless joins and pivots. - Structured outputs: ready for BI tools, notebooks, or light ETL. - Local-first: you decide what to export and when to delete it. - Repeatable: same click, same format, every time. User experience - Simple interface: open page, click export, pick format. - Fast feedback: progress indicator and ready-to-download file. - Safe defaults: sensible column sets without overwhelming options. - Gentle guidance: brief tips in-app so anyone can succeed on the first try. Performance and scale - Handles long menus with options and modifiers. - Batches data so large exports stay responsive. - Optimized parsing to keep browser performance stable. Data formats - CSV: quick filters and bulk edits. - Excel: pivot tables, charts, and sharing with non-technical stakeholders. - JSON: integrates with scripts, APIs, and data pipelines. Why this over custom scraping - Zero maintenance: no breakage when the site UI shifts slightly; the exporter is kept current. - Lower risk: fewer moving parts than rolling your own scraper stack. - Time to value: data in minutes, not days. - Accessibility: anyone on the team can run it, not just developers. If you need to move Uber Eats data into your tools without friction, UberEats Exporter turns the browser page you’re looking at into a clean CSV, Excel, or JSON file in one click. No code. No copy-paste. Just the data you need, formatted and ready to work with. Copy, share, analyze, and iterate—faster.