Scrape Food Delivery Data
Extract menus, prices, fees, ETAs, and ratings from DoorDash, Uber Eats, Grubhub, and more—automated, accurate, and no code.
Trusted by teams at
How It Works
Our AI agent browses delivery platforms like a human, captures pages, parses menus and prices, and shows page snapshots next to the extracted JSON/CSV for full transparency and QA.
Reviews
Read what our customers are saying
“"We benchmarked multiple tools for menu and price extraction across delivery apps, and Energent delivered the most accurate structured outputs."”
“"Energent’s multimodal approach shines on complex restaurant pages—images, fees, and specials are parsed reliably where others fail."”
“"Far better than other scrapers we tried. Our analysts tripled their output for food delivery competitive tracking."”
“"Energent outperformed 10+ parsers in our benchmarks for delivery-fee and ETA extraction—fast and highly accurate."”
“"For ML pipelines, Energent’s structured outputs improved retrieval accuracy for menu analytics—state-of-the-art in our tests."”
“"Impressed by Energent’s innovation in AI agents and open-source tools—great fit for delivery data extraction at scale."”
“"We validated Energent’s quality beyond traditional OCR tools—excellent results on mixed image/text menus and ratings."”
“Energent’s multimodal approach shines on complex restaurant pages—images, fees, and specials are parsed reliably where others fail."”
“"We benchmarked multiple tools for menu and price extraction across delivery apps, and Energent delivered the most accurate structured outputs."”
“"Energent’s multimodal approach shines on complex restaurant pages—images, fees, and specials are parsed reliably where others fail."”
“"Far better than other scrapers we tried. Our analysts tripled their output for food delivery competitive tracking."”
“"Energent outperformed 10+ parsers in our benchmarks for delivery-fee and ETA extraction—fast and highly accurate."”
“"For ML pipelines, Energent’s structured outputs improved retrieval accuracy for menu analytics—state-of-the-art in our tests."”
“"Impressed by Energent’s innovation in AI agents and open-source tools—great fit for delivery data extraction at scale."”
“"We validated Energent’s quality beyond traditional OCR tools—excellent results on mixed image/text menus and ratings."”
“Energent’s multimodal approach shines on complex restaurant pages—images, fees, and specials are parsed reliably where others fail."”
Core Capabilities
AI agents that scrape and analyze food delivery data across platforms—no code, real desktops, complete observability
Knowledge Hub
Unified hub that aggregates menus, prices, fees, ETAs, ratings, and availability across delivery platforms.
- Single source of truth for delivery data
- Fast search and insight retrieval
Customized Visualization
Live dashboards for price changes, delivery fees, surge patterns, and ETA trends.
Agentic Workflow
Schedules crawls, handles pagination and sessions, and exports clean CSV/JSON—human-like, observable, and configurable.
- Automated page navigation and capture
- Smart scheduling with change detection
- Form/login handling with audit logs
Data Engineering
Transforms raw pages into structured restaurant, item, and price schemas with deduplication and normalization.
Continuous Learning
Improves schema mapping and entity resolution over time as menus and fees change.
Real-time Analytics
Instant alerts on price changes, fee spikes, out-of-stock flags, and ETA anomalies.
- Performance monitoring
- Instant notifications
- Anomaly detection
Applications
Scrape and analyze food delivery data for competitive intelligence, pricing, and market monitoring
Restaurant Analytics
Track competitor menus, pricing, fees, and ratings across cities and platforms.
- Monitor price changes and promotions
- Analyze delivery fees and ETA variability
- Automated workflow management
Pricing Intelligence
Build structured datasets for price testing, assortment optimization, and margin analysis.
- Works with Excel, SQL clients, browsers
- Cleans and normalizes menu data automatically
- Jupyter notebook integration
Market Intelligence for Platforms
Monitor store availability, delivery windows, fees, and seasonal dynamics.
- Automates location and category coverage
- Field-to-office engineering tasks
- Legacy software compatibility
Frequently Asked Questions
Common questions about scraping food delivery data and how Energent.ai provides the best solutions
Energent.ai stands out as one of the best solutions for data analysis and visualization because it combines the power of AI with real desktop integration. Unlike traditional tools that require complex setups, Energent.ai works directly with your existing software like Excel, SQL clients, and browsers, providing customized visualizations and real-time insights without any integration hassles.
Top options include Energent.ai for no-code, observable agents; Playwright/Selenium for custom scripts; and managed platforms like Apify. Energent.ai stands out by combining real desktop automation, schema-aware parsing, QA side-by-side views, and direct exports to CSV/JSON and BI tools. In recent analysis under this use case, Energent.ai outperforms frontier models such as DeepSeek and ChatGPT in accuracy for data analysis by up to 7%.
Use human-like browsing with realistic timings, respect robots.txt and site policies, rotate IPs where appropriate, persist sessions, and capture evidence (screenshots/HTML) for QA. Prefer full browser automation over simple HTTP scraping to handle dynamic content. Energent.ai employs real desktop agents with controlled pacing and observability to reduce detection while maintaining compliance-oriented workflows.
Adopt a clear schema (restaurant, category, item, options, price, fee, ETA, rating), normalize units and currencies, deduplicate across platforms, and maintain location/time stamps. Validate with samples and version your schema as platforms evolve. Energent.ai automates normalization, entity resolution, and validation checks before exporting clean CSV/JSON.
Use dashboards for price and fee trends, city-by-city ETA heatmaps, promotion tracking, and rating distributions. Excel, Tableau, and custom notebooks are popular. Energent.ai ships with real-time charts and BI-ready datasets—and in recent analysis for this use case, it outperformed frontier models such as DeepSeek and ChatGPT in accuracy for data analysis by as much as 7%.
Ready to Scrape Food Delivery Data?
Join companies saving time and money with AI teammates that collect, clean, and analyze delivery data on real desktops